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Added value of double reading in diagnostic radiology,a systematic review

Abstract

Objectives

Double reading in diagnostic radiology can find discrepancies in the original report, but a systematic program of double reading is resource consuming. There are conflicting opinions on the value of double reading. The purpose of the current study was to perform a systematic review on the value of double reading.

Methods

A systematic review was performed to find studies calculating the rate of misses and overcalls with the aim of establishing the added value of double reading by human observers.

Results

The literature search resulted in 1610 hits. After abstract and full-text reading, 46 articles were selected for analysis. The rate of discrepancy varied from 0.4 to 22% depending on study setting. Double reading by a sub-specialist, in general, led to high rates of changed reports.

Conclusions

The systematic review found rather low discrepancy rates. The benefit of double reading must be balanced by the considerable number of working hours a systematic double-reading scheme requires. A more profitable scheme might be to use systematic double reading for selected, high-risk examination types. A second conclusion is that there seems to be a value of sub-specialisation for increased report quality. A consequent implementation of this would have far-reaching organisational effects.

Key Points

• In double reading, two or more radiologists read the same images.

• A systematic literature review was performed.

• The discrepancy rates varied from 0.4 to 22% in various studies.

• Double reading by sub-specialists found high discrepancy rates.

Introduction

In the industrialised world, there is an increasing demand for radiology resources with an increasing number of images being produced, which has led to a relative scarcity of radiologists. With limited resources, it is important to question and evaluate work routines, to provide settings for high-quality output and high cost-effectiveness, but at the same time keep medical standards high and avoid costly lawsuits. One way to increase the quality of radiology reports may be double reading of studies between peers, i.e. two radiology specialists of similar and appropriate experience reading the same study.

Most radiologists hold a very firm view on the concept of double reading—either for or against. Arguments for are that it reduces errors and increases quality in radiology. Arguments against are that it does not increase quality significantly, is time-consuming, and wastes time and resources. Despite these firm beliefs, there is comparatively scant evidence supporting either view, and both systems are widely practiced [1]. In some radiology departments or department sections, it is accepted that no systematic double reading is performed between specialists of a similar or above a certain degree of expertise. In other departments, such double reading between peers is mandatory. A survey among Norwegian radiologists reported a double reading rate of 33% of all studies [1], which is consistent with a previous Norwegian survey [2].

The concept of observer variation in radiology was introduced in the late 1940’s when tuberculosis screening with mass chest radiography was evaluated [3, 4]. In a comparison between four different image types (35-mm film, 4 × 10-inch stereophotofluorogram, 14 × 17-inch paper negative, 14 × 17-inch film), it was discovered that the observer variation was greater than the variation between image types [3]. The authors recommended that “In mass survey work … all films be read independently by at least two interpreters”. Double reading in mammography and other types of radiologic screening is, however, not the purpose of the current study since the approach of the observer in screening work is different from that in clinical work. In screening, the focus leans towards finding true positives and avoiding false negatives, whereas in clinical work also false positive and true negative findings are of importance. Neither is the purpose of the current study the evaluation of double reading in a learning situation, such as the double reading of residents’ reports by specialists in radiology. In such cases, the report and findings of a resident are checked by a more experienced colleague. This has an educational purpose and serves to improve the final report to provide better healthcare, with a better patient outcome in the end. The value of such double reading is hardly debatable.

Double reading can be broadly divided into three categories: (1) both primary and secondary reading by radiologists of the same degree of sub-specialisation, in consensus, or serially with or without knowledge of the contents of the first report; (2) secondary reading by a radiologist of a higher level of sub-specialisation; (3) double reading of resident reports [5].

The concept of double reading is at times confusing and can apply to several practices.

In screening, the concept of double reading implies that if both readers are negative, the combined report is negative. If one or both readers are positive, the report is positive (i.e. the “Or” rule or “Believe the positive”). In dual reading, the two readers reach a consensus over the differing reports [6].

Some studies use arbitration: with conflicting findings, a third reader considers each specific disagreement and decides whether the reported finding is present or not. Similar to this is pseudo-arbitration: with conflicting findings, the independent and blinded report of a third reader casts the deciding “vote” in each dispute between the original readers. In contrast to the “true arbitration” model, the third reader is not aware of the specific disagreement(s) [7]. These concepts are summarised in Table 1.

Table 1 Various applications of single and double reading

Considering the paucity of evidence either for or against double reading among peers in clinical practice, the purpose of the current study was to, through a systematic review of available literature, gather evidence for or against double reading in imaging studies by peers and its potential value. A secondary aim was to evaluate double reading with the secondary reading being performed by a sub-specialist.

Materials and methods

The study was registered in PROSPERO International prospective register of systematic reviews, CRD42017059013.

The inclusion criterion in the literature search was: studies calculating the rate of misses and overcalls with the aim of establishing the added value of double reading by human observers. The exclusion criteria were: (1) articles dealing solely with mammography; (2) articles dealing solely with screening; (3) articles dealing solely with double reading of residents; (4) articles not dealing with double reading; (5) reviews, editorials, comments, abstracts or case reports; (6) articles without abstract; (7) article not written in English, German, French or the Nordic languages; (8) duplicate publications of the same data.

Literature search

A literature search was performed on 26 January 2017 in PubMed/MEDLINE and Scopus. The search expressions were a combination of “radiography, computed tomography (CT), magnetic resonance imaging (MRI) and double reading/reporting/interpretation” (Appendix 1).

Both authors read all titles and abstracts independently. All articles that at least one reviewer considered worth including were chosen for reading of the full text. After independent reading of the full text, articles fulfilling the inclusion criteria were selected. Disagreements were solved in consensus. The material was stratified into two groups depending on whether the double reading was performed by a colleague of similar or higher sub-specialty.

Results

The literature search resulted in 1,610 hits. Another eight articles were added after manual perusal of the reference lists. Of these, 165 articles were chosen for reading of the full text. Forty-six of these that fulfilled the inclusion criteria and did not comply with the exclusion criteria were selected for final analysis. The study flow diagram is shown in Fig. 1. Study characteristics and results are shown in Table 2. Excluded articles are shown in Appendix 2.

Fig. 1
figure 1

Study flow diagram

Table 2 Study characteristics and results

When perusing the material, it was found that there were not sufficient data to perform a meta-analysis. Instead, a verbal summary was performed. In the results, two distinct groups of studies appeared: studies reporting double reading by peers of similar competence level and studies reporting the second reading performed by a sub-specialist, often performed at a referral hospital.

Double reading by peers of similar degree of sub-specialisation

Fifteen articles evaluated double reading in CT.

  • In trauma CT, three papers found initial discordant readings of 26–37% [13,14,15]. However, in one of these articles patient care was changed in only 2.3% by a non-blinded second reader [13]. Eurin et al. [16] reported a high rate of missed injuries initially, predominantly minor and musculoskeletal injuries.

  • In abdominal CT, a discrepancy rate of 17% resulted in 3% treatment change when reviewed by a non-blinded second reader [12]. Five articles evaluated sensitivity and specificity. In CT of ovarian cancer and CT colonography, there was a non-significant trend towards higher sensitivity in double reading [18, 19], but double reading increased the false-positive rate [20].

  • In chest CT for pulmonary nodules, double reading increased sensitivity [8, 22, 23], but computer-aided diagnosis (CAD) was even more beneficial [8, 22]. Another article found clinically important changes in 9% of cases [24].

Eight articles evaluated double reading in radiography.

  • Two articles found negligible improvement by double reading in small-bowel and large-bowel barium studies, one study even reported increased false positives with double reading [27, 28].

  • In chest radiography, Hessel et al. [7] combined independent readings by eight radiologists. Using a third independent interpretation to resolve disagreements between pairs of readers (pseudo-arbitration) was the most effective method overall, reducing errors by 37%, increasing correct interpretations by 18%, and adding 19% to the cost of an error-free interpretation.

  • Quekel et al. [6] reported that double or dual reading increased sensitivity, at the same time reducing specificity.

  • Two articles quoted 3–9% disagreement between observers in general radiography [30, 31].

Mixed modalities.

  • Siegle et al. [33] evaluated general radiology in six departments, and found a mean rate of disagreement of 4.4%.

  • In another large study, 11,222 cases (3.3% of the total production) underwent randomised peer review using a consensus-oriented group review with a rate of discordance (“report should change”) of 2.7% [37].

  • Babiarz and Yousem [35] found 2% disagreement when 1,000 neuroradiology cases were double read by another neuroradiologist, all working in the same institution.

  • In breast MRI, double reading increased sensitivity from 80 to 91%, while reducing specificity from 88 to 81% [34].

  • Agrawal et al. [36] performed parallel dual reporting in teleradiology emergency radiology which resulted in 3.8% disagreements. The authors suggested that abdominal CT and head/spine MRI were the most common error sources and that a focused double reading of error-prone case types may be considered for optimum utilisation of resources.

Second reading by a sub-specialist

  • Six articles reported on abdominal imaging, five of these for distinct conditions, usually malignancy. The discrepancy rates for these varied from about 12% up to 50% [5, 38, 39, 41, 42].

  • Bell and Patel [40] reported on 1,303 cases of body CT with the primary report from non-sub-specialised radiologists and found a higher frequency of clinically relevant discrepancies in the 742 cases that were double read by radiologists with a higher degree of sub-specialisation.

  • In chest radiography, a statistically significantly higher rate of seemingly obvious misdiagnoses was found for non-chest speciality radiologists [43], while a thoracic radiologist had higher sensitivity and reported fewer indeterminate nodules in chest CT for colorectal cancer [44].

  • In neuroradiology, two articles demonstrated the benefit from sub-specialist second opinion [46, 47], while two did not [45, 48].

  • In paediatric radiology, Eakins et al. [49] found a high rate of discrepancies in neuroimaging and body studies, while discrepancies were much rarer in extremity radiography [50]. In abdominal trauma CT, 12 new injuries were found in 98 patients [51].

Discussion

This systematic review found a wide range of significant discrepancy rates, from 0.4 to 22%, with minor discrepancies being much more common. Most of this variability is probably due to study setting. Double reading generally increased sensitivity at the cost of decreased specificity. One area where double reading seems to be important is in trauma CT, which is not surprising considering the large number of images and often stressful conditions under which the primary reading is performed. Thoracic and abdominal CT were also associated with more discrepancies than head and spine CT [54]. Higher rates of discrepancy can be expected in cases with a high probability of disease with complicated imaging findings [5].

More surprising was the fact that double reading by a sub-specialist almost invariably changed the initial reports to a high degree, although the second reader was also the reference standard for the study, which might have introduced bias. This leads to the conclusion that it might be more efficient to strive for sub-specialised readers than to implement double reading. It might also be more cost-efficient considering the fact that in one study, double reading of one-third of all studies consumed an estimated 20–25% of all working hours in the institutions concerned [1]. In modern digital radiology it is easy to send images to another hospital, and it should thus be possible to include even small radiology departments in a large virtual department where all radiologists can be sub-specialised. However, even a sub-specialised reader is subject to the same basic reading errors and this needs further study comparing outcomes from various reading strategies.

The primary goal of the current study was to evaluate double reading in a clinically relevant context, i.e. where the second reader double-reads the case in a non-blinded context before the report is finalised. Only two studies used a method approaching this [12, 13]. Reinterpretation of body CT in another hospital was beneficial [12] but double reading of abdominal and pelvic trauma CT resulted in only 2.3% changes in patient care [13].

One method for peer review of radiology reports is error scoring such as is practiced in the RadPeer program [55]. This differs from clinical double reading in that it does not confer direct benefit for the patient at hand. The use of old reports can also be seen as a form of second reading [56].

Double reading has been evaluated in a recent systematic review which dedicated much space to mammography screening [57]. This review suggested further attention to other common examinations and implementation of double reading as an effective error-reducing technique. This should be coupled with studies on its cost-effectiveness. The literature search in the current study resulted in some additional articles and a slightly different conclusion, which is not surprising considering the wide variety of studies included. In a systematic review on CT diagnosis, a major discrepancy rate of 2.4% was found, even lower when the secondary reader was non-blinded [54]. There is also a Cochrane review on audit and feedback which borders on the subject in the current study, even though no radiology-specific articles were included [58]. Errors and discrepancies in radiology have been covered in a recent review article [59].

Observer variation analysis is now customary when evaluating imaging modalities or procedures, or when starting studies on larger image materials [60,61,62], and it is well known that observer variation can be small or large between observers, due to differences in experience and variations in image quality or ease of detection and characterisation of a lesion.

A quality assessment of the individual evaluated articles was not performed in the current study. It was judged to be not feasible to get any meaningful results out of this, due to the wide variability in subject matter and methods.

Limitations of the study are the widely varying definitions of what is a clinically important discrepancy, which makes a meaningful meta-analysis impossible. In studies with a sub-specialised second reader there is a risk that the discrepancy rate is inflated since the second reader decides what should be included in the report.

In conclusion, the systematic review found, in general, rather low discrepancy rates when double-reading radiological studies. The benefit of double reading must be balanced by the considerable number of working hours a systematic double reading scheme requires. A more profitable scheme might be to use systematic double reading for selected, high-risk examination types. A second conclusion is that there seems to be a value in sub-specialisation for increased report quality. A consequent implementation of this would have far-reaching organisational effects.

References

  1. 1.

    Lauritzen PM, Hurlen P, Sandbaek G, Gulbrandsen P (2015) Double reading rates and quality assurance practices in Norwegian hospital radiology departments: two parallel national surveys. Acta Radiol 56:78–86

    PubMed  Article  Google Scholar 

  2. 2.

    Husby JA, Espeland A, Kalyanpur A, Brocker C, Haldorsen IS (2011) Double reading of radiological examinations in Norway. Acta Radiol 52:516–521

    PubMed  Article  Google Scholar 

  3. 3.

    Birkelo CC, Chamberlain WE et al (1947) Tuberculosis case finding; a comparison of the effectiveness of various roentgenographic and photofluorographic methods. J Am Med Assoc 133:359–366

    PubMed  Article  CAS  Google Scholar 

  4. 4.

    Garland LH (1949) On the scientific evaluation of diagnostic procedures. Radiology 52:309–328

    PubMed  Article  CAS  Google Scholar 

  5. 5.

    Lindgren EA, Patel MD, Wu Q, Melikian J, Hara AK (2014) The clinical impact of subspecialized radiologist reinterpretation of abdominal imaging studies, with analysis of the types and relative frequency of interpretation discrepancies. Abdom Imaging 39:1119–1126

    PubMed  Article  Google Scholar 

  6. 6.

    Quekel LG, Goei R, Kessels AG, van Engelshoven JM (2001) Detection of lung cancer on the chest radiograph: impact of previous films, clinical information, double reading, and dual reading. J Clin Epidemiol 54:1146–1150

    PubMed  Article  CAS  Google Scholar 

  7. 7.

    Hessel SJ, Herman PG, Swensson RG (1978) Improving performance by multiple interpretations of chest radiographs: effectiveness and cost. Radiology 127:589–594

    PubMed  Article  CAS  Google Scholar 

  8. 8.

    Wormanns D, Beyer F, Diederich S, Ludwig K, Heindel W (2004) Diagnostic performance of a commercially available computer-aided diagnosis system for automatic detection of pulmonary nodules: comparison with single and double reading. Röfo 176:953–958

    PubMed  CAS  Google Scholar 

  9. 9.

    Law RL, Slack NF, Harvey RF (2008) An evaluation of a radiographer-led barium enema service in the diagnosis of colorectal cancer. Radiography 14:105–110

    Article  Google Scholar 

  10. 10.

    Garrett KG, De Cecco CN, Schoepf UJ et al (2014) Residents’ performance in the interpretation of on-call “triple-rule-out” CT studies in patients with acute chest pain. Acad Radiol 21:938–944

    PubMed  Article  Google Scholar 

  11. 11.

    Guerin G, Jamali S, Soto CA, Guilbert F, Raymond J (2015) Interobserver agreement in the interpretation of outpatient head CT scans in an academic neuroradiology practice. AJNR Am J Neuroradiol 36:24–29

    PubMed  Article  CAS  Google Scholar 

  12. 12.

    Gollub MJ, Panicek DM, Bach AM, Penalver A, Castellino RA (1999) Clinical importance of reinterpretation of body CT scans obtained elsewhere in patients referred for care at a tertiary cancer center. Radiology 210:109–112

    PubMed  Article  CAS  Google Scholar 

  13. 13.

    Yoon LS, Haims AH, Brink JA, Rabinovici R, Forman HP (2002) Evaluation of an emergency radiology quality assurance program at a level I trauma center: abdominal and pelvic CT studies. Radiology 224:42–46

    PubMed  Article  Google Scholar 

  14. 14.

    Agostini C, Durieux M, Milot L et al (2008) Value of double reading of whole body CT in polytrauma patients. J Radiol 89:325–330

    PubMed  Article  CAS  Google Scholar 

  15. 15.

    Sung JC, Sodickson A, Ledbetter S (2009) Outside CT imaging among emergency department transfer patients. J Am Coll Radiol 6:626–632

    PubMed  Article  Google Scholar 

  16. 16.

    Eurin M, Haddad N, Zappa M et al (2012) Incidence and predictors of missed injuries in trauma patients in the initial hot report of whole-body CT scan. Injury 43:73–77

    PubMed  Article  CAS  Google Scholar 

  17. 17.

    Bechtold RE, Chen MY, Ott DJ et al (1997) Interpretation of abdominal CT: analysis of errors and their causes. J Comput Assist Tomogr 21:681–685

    PubMed  Article  CAS  Google Scholar 

  18. 18.

    Fultz PJ, Jacobs CV, Hall WJ et al (1999) Ovarian cancer: comparison of observer performance for four methods of interpreting CT scans. Radiology 212:401–410

    PubMed  Article  CAS  Google Scholar 

  19. 19.

    Johnson KT, Johnson CD, Fletcher JG, MacCarty RL, Summers RL (2006) CT colonography using 360-degree virtual dissection: a feasibility study. AJR Am J Roentgenol 186:90–95

    PubMed  Article  Google Scholar 

  20. 20.

    Murphy R, Slater A, Uberoi R, Bungay H, Ferrett C (2010) Reduction of perception error by double reporting of minimal preparation CT colon. Br J Radiol 83:331–335

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  21. 21.

    Lauritzen PM, Andersen JG, Stokke MV et al (2016) Radiologist-initiated double reading of abdominal CT: retrospective analysis of the clinical importance of changes to radiology reports. BMJ Qual Saf 25:595–603

    PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Rubin GD, Lyo JK, Paik DS et al (2005) Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology 234:274–283

    PubMed  Article  Google Scholar 

  23. 23.

    Wormanns D, Ludwig K, Beyer F, Heindel W, Diederich S (2005) Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT. Eur Radiol 15:14–22

    PubMed  Article  Google Scholar 

  24. 24.

    Lauritzen PM, Stavem K, Andersen JG et al (2016) Double reading of current chest CT examinations: clinical importance of changes to radiology reports. Eur J Radiol 85:199–204

    PubMed  Article  Google Scholar 

  25. 25.

    Lian K, Bharatha A, Aviv RI, Symons SP (2011) Interpretation errors in CT angiography of the head and neck and the benefit of double reading. AJNR Am J Neuroradiol 32:2132–2135

    PubMed  Article  CAS  Google Scholar 

  26. 26.

    Markus JB, Somers S, O’Malley BP, Stevenson GW (1990) Double-contrast barium enema studies: effect of multiple reading on perception error. Radiology 175:155–156

    PubMed  Article  CAS  Google Scholar 

  27. 27.

    Tribl B, Turetschek K, Mostbeck G et al (1998) Conflicting results of ileoscopy and small bowel double-contrast barium examination in patients with Crohn’s disease. Endoscopy 30:339–344

    PubMed  Article  CAS  Google Scholar 

  28. 28.

    Canon CL, Smith JK, Morgan DE et al (2003) Double reading of barium enemas: is it necessary? AJR Am J Roentgenol 181:1607–1610

    PubMed  Article  Google Scholar 

  29. 29.

    Marshall JK, Cawdron R, Zealley I, Riddell RH, Somers S, Irvine EJ (2004) Prospective comparison of small bowel meal with pneumocolon versus ileo-colonoscopy for the diagnosis of ileal Crohn’s disease. Am J Gastroenterol 99:1321–1329

    PubMed  Article  Google Scholar 

  30. 30.

    Robinson PJ, Wilson D, Coral A, Murphy A, Verow P (1999) Variation between experienced observers in the interpretation of accident and emergency radiographs. Br J Radiol 72:323–330

    PubMed  Article  CAS  Google Scholar 

  31. 31.

    Soffa DJ, Lewis RS, Sunshine JH, Bhargavan M (2004) Disagreement in interpretation: a method for the development of benchmarks for quality assurance in imaging. J Am Coll Radiol 1:212–217

    PubMed  Article  Google Scholar 

  32. 32.

    Wakeley CJ, Jones AM, Kabala JE, Prince D, Goddard PR (1995) Audit of the value of double reading magnetic resonance imaging films. Br J Radiol 68:358–360

    PubMed  Article  CAS  Google Scholar 

  33. 33.

    Siegle RL, Baram EM, Reuter SR, Clarke EA, Lancaster JL, McMahan CA (1998) Rates of disagreement in imaging interpretation in a group of community hospitals. Acad Radiol 5:148–154

    PubMed  Article  CAS  Google Scholar 

  34. 34.

    Warren RM, Pointon L, Thompson D et al (2005) Reading protocol for dynamic contrast-enhanced MR images of the breast: sensitivity and specificity analysis. Radiology 236:779–788

    PubMed  Article  Google Scholar 

  35. 35.

    Babiarz LS, Yousem DM (2012) Quality control in neuroradiology: discrepancies in image interpretation among academic neuroradiologists. AJNR Am J Neuroradiol 33:37–42

    PubMed  Article  CAS  Google Scholar 

  36. 36.

    Agrawal A, Koundinya DB, Raju JS, Agrawal A, Kalyanpur A (2017) Utility of contemporaneous dual read in the setting of emergency teleradiology reporting. Emerg Radiol 24:157–164

    PubMed  Article  Google Scholar 

  37. 37.

    Harvey HB, Alkasab TK, Prabhakar AM et al (2016) Radiologist peer review by group consensus. J Am Coll Radiol 13:656–662

    PubMed  Article  Google Scholar 

  38. 38.

    Kalbhen CL, Yetter EM, Olson MC, Posniak HV, Aranha GV (1998) Assessing the resectability of pancreatic carcinoma: the value of reinterpreting abdominal CT performed at other institutions. AJR Am J Roentgenol 171:1571–1576

    PubMed  Article  CAS  Google Scholar 

  39. 39.

    Tilleman EH, Phoa SS, Van Delden OM et al (2003) Reinterpretation of radiological imaging in patients referred to a tertiary referral centre with a suspected pancreatic or hepatobiliary malignancy: impact on treatment strategy. Eur Radiol 13:1095–1099

    PubMed  Google Scholar 

  40. 40.

    Bell ME, Patel MD (2014) The degree of abdominal imaging (AI) subspecialization of the reviewing radiologist significantly impacts the number of clinically relevant and incidental discrepancies identified during peer review of emergency after-hours body CT studies. Abdom Imaging 39:1114–1118

    PubMed  Article  Google Scholar 

  41. 41.

    Wibmer A, Vargas HA, Donahue TF et al (2015) Diagnosis of extracapsular extension of prostate cancer on prostate MRI: impact of second-opinion readings by subspecialized genitourinary oncologic radiologists. AJR Am J Roentgenol 205:W73–W78

    PubMed  Article  Google Scholar 

  42. 42.

    Rahman WT, Hussain HK, Parikh ND, Davenport MS (2016) Reinterpretation of outside hospital MRI abdomen examinations in patients with cirrhosis: is the OPTN mandate necessary? AJR Am J Roentgenol 19:1-7

  43. 43.

    Cascade PN, Kazerooni EA, Gross BH et al (2001) Evaluation of competence in the interpretation of chest radiographs. Acad Radiol 8:315–321

    PubMed  Article  CAS  Google Scholar 

  44. 44.

    Nordholm-Carstensen A, Jorgensen LN, Wille-Jorgensen PA, Hansen H, Harling H (2015) Indeterminate pulmonary nodules in colorectal-cancer: do radiologists agree? Ann Surg Oncol 22:543–549

    PubMed  Article  Google Scholar 

  45. 45.

    Jordan MJ, Lightfoote JB, Jordan JE (2006) Quality outcomes of reinterpretation of brain CT imaging studies by subspecialty experts in neuroradiology. J Natl Med Assoc 98:1326–1328

    PubMed  PubMed Central  Google Scholar 

  46. 46.

    Briggs GM, Flynn PA, Worthington M, Rennie I, McKinstry CS (2008) The role of specialist neuroradiology second opinion reporting: is there added value? Clin Radiol 63:791–795

    PubMed  Article  CAS  Google Scholar 

  47. 47.

    Zan E, Yousem DM, Carone M, Lewin JS (2010) Second-opinion consultations in neuroradiology. Radiology 255:135–141

    PubMed  Article  Google Scholar 

  48. 48.

    Jordan YJ, Jordan JE, Lightfoote JB, Ragland KD (2012) Quality outcomes of reinterpretation of brain CT studies by subspecialty experts in stroke imaging. AJR Am J Roentgenol 199:1365–1370

    PubMed  Article  Google Scholar 

  49. 49.

    Eakins C, Ellis WD, Pruthi S et al (2012) Second opinion interpretations by specialty radiologists at a pediatric hospital: rate of disagreement and clinical implications. AJR Am J Roentgenol 199:916–920

    PubMed  Article  Google Scholar 

  50. 50.

    Bisset GS 3rd, Crowe J (2014) Diagnostic errors in interpretation of pediatric musculoskeletal radiographs at common injury sites. Pediatr Radiol 44:552–557

    PubMed  Article  Google Scholar 

  51. 51.

    Onwubiko C, Mooney DP (2016) The value of official reinterpretation of trauma computed tomography scans from referring hospitals. J Pediatr Surg 51:486–489

    PubMed  Article  Google Scholar 

  52. 52.

    Loevner LA, Sonners AI, Schulman BJ et al (2002) Reinterpretation of cross-sectional images in patients with head and neck cancer in the setting of a multidisciplinary cancer center. AJNR Am J Neuroradiol 23:1622–1626

    PubMed  Google Scholar 

  53. 53.

    Kabadi SJ, Krishnaraj A (2017) Strategies for improving the value of the radiology report: a retrospective analysis of errors in formally over-read studies. J Am Coll Radiol 14:459–466

    PubMed  Article  Google Scholar 

  54. 54.

    Wu MZ, McInnes MD, Macdonald DB, Kielar AZ, Duigenan S (2014) CT in adults: systematic review and meta-analysis of interpretation discrepancy rates. Radiology 270:717–735

    PubMed  Article  Google Scholar 

  55. 55.

    Jackson VP, Cushing T, Abujudeh HH et al (2009) RADPEER scoring white paper. J Am Coll Radiol 6:21–25

    PubMed  Article  Google Scholar 

  56. 56.

    Berbaum KS, Smith WL (1998) Use of reports of previous radiologic studies. Acad Radiol 5:111–114

    PubMed  Article  CAS  Google Scholar 

  57. 57.

    Pow RE, Mello-Thoms C, Brennan P (2016) Evaluation of the effect of double reporting on test accuracy in screening and diagnostic imaging studies: a review of the evidence. J Med Imaging Radiat Oncol 60:306–314

    PubMed  Article  Google Scholar 

  58. 58.

    Ivers N, Jamtvedt G, Flottorp S et al (2012) Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. https://doi.org/10.1002/14651858.CD000259.pub3:Cd000259

  59. 59.

    Brady AP (2017) Error and discrepancy in radiology: inevitable or avoidable? Insights Imaging 8:171–182

    PubMed  Article  Google Scholar 

  60. 60.

    Collin D, Dunker D, Göthlin JH, Geijer M (2011) Observer variation for radiography, computed tomography, and magnetic resonance imaging of occult hip fractures. Acta Radiol 52:871–874

    PubMed  Article  Google Scholar 

  61. 61.

    Geijer M, Göthlin GG, Göthlin JH (2007) Observer variation in computed tomography of the sacroiliac joints: a retrospective analysis of 1383 cases. Acta Radiol 48:665–671

    PubMed  Article  CAS  Google Scholar 

  62. 62.

    Ornetti P, Maillefert JF, Paternotte S, Dougados M, Gossec L (2011) Influence of the experience of the reader on reliability of joint space width measurement. A cross-sectional multiple reading study in hip osteoarthritis. Joint Bone Spine 78:499–505

    PubMed  Article  Google Scholar 

  63. 63.

    Groth-Petersen E, Moller AV (1955) Dual reading as a routine procedure in mass radiography. Bull World Health Organ 12:247–259

  64. 64.

    Griep WA (1955) The role of experience in the reading of photofluorograms. Tubercle 36:283–286

    PubMed  Article  CAS  Google Scholar 

  65. 65.

    Yerushalmy J (1955) Reliability of chest radiography in the diagnosis of pulmonary lesions. Am J Surg 89:231–240

    PubMed  Article  CAS  Google Scholar 

  66. 66.

    Williams RG (1958) The value of dual reading in mass radiography. Tubercle 39:367–371

    Article  Google Scholar 

  67. 67.

    Discher DP, Wallace RR, Massey FJ Jr (1971) Screening by chest photofluorography in los angeles. Arch Environ Health 22:92–105

    PubMed  Article  CAS  Google Scholar 

  68. 68.

    Felson B, Morgan WKC, Bristol LJ et al (1973) Observations on the results of multiple readings of chest films in coal miners’ pneumoconiosis. Radiology 109:19–23

    PubMed  Article  CAS  Google Scholar 

  69. 69.

    Angerstein W, Oehmke G, Steinbruck P (1975) Observer error in interpretation of chest-radiophotographs (author’s transl). Z Erkr Atmungsorgane 142:87–93

    PubMed  CAS  Google Scholar 

  70. 70.

    Herman PG, Hessel SJ (1975) Accuracy and its relationship to experience in the interpretation of chest radiographs. Investig Radiol 10:62–67

    Article  CAS  Google Scholar 

  71. 71.

    Labrune M, Dayras M, Kalifa G, Rey JL (1976) “Cirrhotic’s lund”. A new radiological entity? 182 CASES (AUTHOR’S TRANSL). J Radiol Electrol Med Nucl 57:471–475

    PubMed  CAS  Google Scholar 

  72. 72.

    Stitik FP, Tockman MS (1978) Radiographic screening in the early detection of lung cancer. Radiol Clin N Am 16:347–366

    PubMed  CAS  Google Scholar 

  73. 73.

    Aoki M (1985) Lung cancer screening-its present situation, problems and perspectives. Gan To Kagaku Ryoho 12:2265–2272

    PubMed  CAS  Google Scholar 

  74. 74.

    Gjorup T, Nielsen H, Jensen LB, Jensen AM (1985) Interobserver variation in the radiographic diagnosis of gastric ulcer. Gastroenterologists’ guesses as to level of interobserver variation. Acta Radiol Diagn (Stockh) 26:289–292

    Article  CAS  Google Scholar 

  75. 75.

    Gjorup T, Nielsen H, Bording Jensen L, Morup Jensen A (1986) Interobserver variation in the radiographic diagnosis of duodenal ulcer disease. Acta Radiol Diagn (Stockh) 27:41–44

    Article  CAS  Google Scholar 

  76. 76.

    Fukuhisa K, Matsumoto T, Iinuma TA et al (1989) On the assessment of the diagnostic accuracy of imaging diagnosis by ROC and BVC analyses--in reference to X-ray CT and ultrasound examination of liver disease. Nihon Igaku Hoshasen Gakkai Zasshi 49:863–874

    PubMed  CAS  Google Scholar 

  77. 77.

    Stephens S, Martin I, Dixon AK (1989) Errors in abdominal computed tomography. J Med Imaging 3:281–287

  78. 78.

    Shaw NJ, Hendry M, Eden OB (1990) Inter-observer variation in interpretation of chest X-rays. Scott Med J 35:140–141

    PubMed  Article  CAS  Google Scholar 

  79. 79.

    Anderson N, Cook HB, Coates R (1991) Colonoscopically detected colorectal cancer missed on barium enema. Gastrointest Radiol 16:123–127

    PubMed  Article  CAS  Google Scholar 

  80. 80.

    Corbett SS, Rosenfeld CR, Laptook AR et al (1991) Intraobserver and interobserver reliability in assessment of neonatal cranial ultrasounds. Early Hum Dev 27:9–17

    PubMed  Article  CAS  Google Scholar 

  81. 81.

    Haug PJ, Clayton PD, Tocino I et al (1991) Chest radiography: a tool for the audit of report quality. Radiology 180:271–276

    PubMed  Article  CAS  Google Scholar 

  82. 82.

    Hopper KD, Rosetti GF, Edmiston RB et al (1991) Diagnostic radiology peer review: a method inclusive of all interpreters of radiographic examinations regardless of specialty. Radiology 180:557–561

    PubMed  Article  CAS  Google Scholar 

  83. 83.

    Slovis TL, Guzzardo-Dobson PR (1991) The clinical usefulness of teleradiology of neonates: expanded services without expanded staff. Pediatr Radiol 21:333–335

    PubMed  Article  CAS  Google Scholar 

  84. 84.

    Matsumoto T, Doi K, Nakamura H, Nakanishi T (1992) Potential usefulness of computer-aided diagnosis (CAD) in a mass survey for lung cancer using photo-fluorographic films. Nihon Igaku Hoshasen Gakkai Zasshi 52:500–502

    PubMed  CAS  Google Scholar 

  85. 85.

    Frank MS, Mann FA, Gillespy T (1993) Quality assurance: a system that integrates a digital dictation system with a computer data base. AJR Am J Roentgenol 161:1101–1103

    PubMed  Article  CAS  Google Scholar 

  86. 86.

    O’Shea TM, Volberg F, Dillard RG (1993) Reliability of interpretation of cranial ultrasound examinations of very low-birthweight neonates. Dev Med Child Neurol 35:97–101

    PubMed  Article  Google Scholar 

  87. 87.

    Friedman DP (1995) Manuscript peer review at the AJR: facts, figures, and quality assessment. AJR Am J Roentgenol 164:1007–1009

    PubMed  Article  CAS  Google Scholar 

  88. 88.

    Gacinovic S, Buscombe J, Costa DC, Hilson A, Bomanji J, Ell PJ (1996) Inter-observer agreement in the reporting of 99Tcm-DMSA renal studies. Nucl Med Commun 17:596–602

    PubMed  Article  CAS  Google Scholar 

  89. 89.

    Nitowski LA, O’Connor RE, Reese CL (1996) The rate of clinically significant plain radiograph misinterpretation by faculty in an emergency medicine residency program. Acad Emerg Med 3:782–789

    PubMed  Article  CAS  Google Scholar 

  90. 90.

    Filippi M, Barkhof F, Bressi S, Yousry TA, Miller DH (1997) Inter-rater variability in reporting enhancing lesions present on standard and triple dose gadolinium scans of patients with multiple sclerosis. Mult Scler 3:226–230

    PubMed  Article  CAS  Google Scholar 

  91. 91.

    Gale ME, Vincent ME, Robbins AH (1997) Teleradiology for remote diagnosis: a prospective multi-year evaluation. J Digit Imaging 10:47–50

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  92. 92.

    Law RL, Longstaff AJ, Slack N (1999) A retrospective 5-year study on the accuracy of the barium enema examination performed by radiographers. Clin Radiol 54:80–83 discussion 83-84

    PubMed  Article  CAS  Google Scholar 

  93. 93.

    Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Doi K (2000) Relative gains in diagnostic accuracy between computer-aided diagnosis and independent double reading. Proc SPIE 3981:10–15

  94. 94.

    Kopans DB (2000) Double reading. Radiol Clin N Am 38:719–724

    PubMed  Article  CAS  Google Scholar 

  95. 95.

    Connolly DJA, Traill ZC, Reid HS, Copley SJ, Nolan DJ (2002) The double contrast barium enema: a retrospective single centre audit of the detection of colorectal carcinomas. Clin Radiol 57:29–32

    PubMed  Article  Google Scholar 

  96. 96.

    Fidler JL, Johnson CD, MacCarty RL, Welch TJ, Hara AK, Harmsen WS (2002) Detection of flat lesions in the colon with CT colonography. Abdom Imaging 27:292–300

    PubMed  Article  CAS  Google Scholar 

  97. 97.

    Leslie A, Virjee JP (2002) Detection of colorectal carcinoma on double contrast barium enema when double reporting is routinely performed: an audit of current practice. Clin Radiol 57:184–187

    PubMed  Article  CAS  Google Scholar 

  98. 98.

    Murphy M, Loughran CF, Birchenough H, Savage J, Sutcliffe C (2002) A comparison of radiographer and radiologist reports on radiographer conducted barium enemas. Radiography 8:215–221

    Article  Google Scholar 

  99. 99.

    Summers RM, Aggarwal NR, Sneller MC et al (2002) CT virtual bronchoscopy of the central airways in patients with Wegener’s granulomatosis. Chest 121:242–250

    PubMed  Article  Google Scholar 

  100. 100.

    Baarslag HJ, van Beek EJ, Tijssen JG, van Delden OM, Bakker AJ, Reekers JA (2003) Deep vein thrombosis of the upper extremity: intra- and interobserver study of digital subtraction venography. Eur Radiol 13:251–255

    PubMed  Article  Google Scholar 

  101. 101.

    Johnson CD, Harmsen WS, Wilson LA et al (2003) Prospective blinded evaluation of computed tomographic colonography for screen detection of colorectal polyps. Gastroenterology 125:311–319

    PubMed  Article  Google Scholar 

  102. 102.

    Quekel LGBA, Goei R, Kessels AGH, Van Engelshoven JMA (2003) The limited detection of lung cancer on chest X-rays. Ned Tijdschr Geneeskd 147:1048–1056

    PubMed  CAS  Google Scholar 

  103. 103.

    Borgstede JP, Lewis RS, Bhargavan M, Sunshine JH (2004) RADPEER quality assurance program: a multifacility study of interpretive disagreement rates. J Am Coll Radiol 1:59–65

    PubMed  Article  Google Scholar 

  104. 104.

    Halsted MJ (2004) Radiology peer review as an opportunity to reduce errors and improve patient care. J Am Coll Radiol 1:984–987

    PubMed  Article  Google Scholar 

  105. 105.

    Järvenpää R, Holli K, Hakama M (2004) Double-reading of plain radiographs--no benefit with regard to earliness of diagnosis of cancer recurrence: a randomised follow-up study. Eur J Cancer 40:1668–1673

    PubMed  Article  Google Scholar 

  106. 106.

    Johnson CD, MacCarty RL, Welch TJ et al (2004) Comparison of the relative sensitivity of CT colonography and double-contrast barium enema for screen detection of colorectal polyps. Clin Gastroenterol Hepatol 2:314–321

    PubMed  Article  Google Scholar 

  107. 107.

    Smith PD, Temte J, Beasley JW, Mundt M (2004) Radiographs in the office: is a second reading always needed? J Am Board Fam Pract 17:256–263

    PubMed  Article  Google Scholar 

  108. 108.

    Taylor P, Given-Wilson R, Champness J, Potts HW, Johnston K (2004) Assessing the impact of CAD on the sensitivity and specificity of film readers. Clin Radiol 59:1099–1105

    PubMed  Article  CAS  Google Scholar 

  109. 109.

    Barnhart HX, Song J, Haber MJ (2005) Assessing intra, inter and total agreement with replicated readings. Stat Med 24:1371–1384

    PubMed  PubMed Central  Article  Google Scholar 

  110. 110.

    Booth AM, Mannion RAJ (2005) Radiographer and radiologist perception error in reporting double contrast barium enemas: a pilot study. Radiography 11:249–254

    Article  Google Scholar 

  111. 111.

    Bradley AJ, Rajashanker B, Atkinson SL, Kennedy JN, Purcell RS (2005) Accuracy of reporting of intravenous urograms: a comparison of radiographers with radiology specialist registrars. Clin Radiol 60:807–811

    PubMed  Article  CAS  Google Scholar 

  112. 112.

    Den Boon S, Bateman ED, Enarson DA et al (2005) Development and evaluation of a new chest radiograph reading and recording system for epidemiological surveys of tuberculosis and lung disease. Int J Tuberc Lung Dis 9:1088–1096

    Google Scholar 

  113. 113.

    Jarvenpaa R, Holli K, Hakama M (2005) Resource savings in the single reading of plain radiographs by oncologist only in cancer patient follow-up: a randomized study. Acta Oncol 44:149–154

    PubMed  Article  Google Scholar 

  114. 114.

    Peldschus K, Herzog P, Wood SA, Cheema JI, Costello P, Schoepf UJ (2005) Computer-aided diagnosis as a second reader: spectrum of findings in CT studies of the chest interpreted as normal. Chest 128:1517–1523

    PubMed  Article  Google Scholar 

  115. 115.

    Birnbaum LM, Filion KB, Joyal D, Eisenberg MJ (2006) Second reading of coronary angiograms by radiologists. Can J Cardiol 22:1217–2221

    PubMed  PubMed Central  Article  Google Scholar 

  116. 116.

    Borgstede J, Wilcox P (2007) Quality care and safety know no borders. Biomed Imaging Interv J 3:e34

    PubMed  PubMed Central  Article  Google Scholar 

  117. 117.

    Foinant M, Lipiecka E, Buc E et al (2007) Impact of computed tomography on patient’s care in nontraumatic acute abdomen: 90 patients. J Radiol 88:559–566

    PubMed  Article  CAS  Google Scholar 

  118. 118.

    Fraioli F, Bertoletti L, Napoli A et al (2007) Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance. J Thorac Imaging 22:241–246

    PubMed  Article  Google Scholar 

  119. 119.

    Capobianco J, Jasinowodolinski D, Szarf G (2008) Detection of pulmonary nodules by computer-aided diagnosis in multidetector computed tomography: preliminary study of 24 cases. J Bras Pneumol 34:27–33

    PubMed  Article  Google Scholar 

  120. 120.

    Johnson CD, Manduca A, Fletcher JG et al (2008) Noncathartic CT colonography with stool tagging: performance with and without electronic stool subtraction. AJR Am J Roentgenol 190:361–366

    PubMed  Article  Google Scholar 

  121. 121.

    Law RL, Titcomb DR, Carter H, Longstaff AJ, Slack N, Dixon AR (2008) Evaluation of a radiographer-provided barium enema service. Color Dis 10:394–396

    Article  CAS  Google Scholar 

  122. 122.

    Nellensteijn DR, ten Duis HJ, Oldenziel J, Polak WG, Hulscher JB (2009) Only moderate intra- and inter-observer agreement between radiologists and surgeons when grading blunt paediatric hepatic injury on CT scan. Eur J Pediatr Surg 19:392–394

    PubMed  Article  CAS  Google Scholar 

  123. 123.

    Brinjikji W, Kallmes DF, White JB, Lanzino G, Morris JM, Cloft HJ (2010) Inter- and intraobserver agreement in CT characterization of nonaneurysmal perimesencephalic subarachnoid hemorrhage. AJNR Am J Neuroradiol 31:1103–1105

    PubMed  Article  CAS  Google Scholar 

  124. 124.

    Liu PT, Johnson CD, Miranda R, Patel MD, Phillips CJ (2010) A reference standard-based quality assurance program for radiology. J Am Coll Radiol 7:61–66

    PubMed  Article  Google Scholar 

  125. 125.

    Monico E, Schwartz I (2010) Communication and documentation of preliminary and final radiology reports. J Healthc Risk Manag 30:23–25

    PubMed  Article  Google Scholar 

  126. 126.

    Saurin JC, Pilleul F, Soussan EB et al (2010) Small-bowel capsule endoscopy diagnoses early and advanced neoplasms in asymptomatic patients with lynch syndrome. Endoscopy 42:1057–1062

    PubMed  Article  Google Scholar 

  127. 127.

    Sheu YR, Feder E, Balsim I, Levin VF, Bleicher AG, Branstetter BF (2010) Optimizing radiology peer review: a mathematical model for selecting future cases based on prior errors. J Am Coll Radiol 7:431–438

    PubMed  Article  Google Scholar 

  128. 128.

    Brook OR, Kane RA, Tyagi G, Siewert B, Kruskal JB (2011) Lessons learned from quality assurance: errors in the diagnosis of acute cholecystitis on ultrasound and CT. AJR Am J Roentgenol 196:597–604

    PubMed  Article  Google Scholar 

  129. 129.

    Provenzale JM, Kranz PG (2011) Understanding errors in diagnostic radiology: proposal of a classification scheme and application to emergency radiology. Emerg Radiol 18:403–408

    PubMed  Article  Google Scholar 

  130. 130.

    Sasaki Y, Abe K, Tabei M, Katsuragawa S, Kurosaki A, Matsuoka S (2011) Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system. Radiol Phys Technol 4:84–90

    PubMed  Article  Google Scholar 

  131. 131.

    Bender LC, Linnau KF, Meier EN, Anzai Y, Gunn ML (2012) Interrater agreement in the evaluation of discrepant imaging findings with the Radpeer system. AJR Am J Roentgenol 199:1320–1327

    PubMed  Article  Google Scholar 

  132. 132.

    Hussain S, Hussain JS, Karam A, Vijayaraghavan G (2012) Focused peer review: the end game of peer review. J Am Coll Radiol 9:430-433.e1

    PubMed  Article  Google Scholar 

  133. 133.

    McClelland C, Van Stavern GP, Shepherd JB, Gordon M, Huecker J (2012) Neuroimaging in patients referred to a neuro-ophthalmology service: the rates of appropriateness and concordance in interpretation. Ophthalmology 119:1701–1704

    PubMed  PubMed Central  Article  Google Scholar 

  134. 134.

    Scaranelo AM, Eiada R, Jacks LM, Kulkarni SR, Crystal P (2012) Accuracy of unenhanced MR imaging in the detection of axillary lymph node metastasis: study of reproducibility and reliability. Radiology 262:425–434

    PubMed  Article  Google Scholar 

  135. 135.

    Swanson JO, Thapa MM, Iyer RS, Otto RK, Weinberger E (2012) Optimizing peer review: a year of experience after instituting a real-time comment-enhanced program at a children’s hospital. AJR Am J Roentgenol 198:1121–1125

    PubMed  Article  Google Scholar 

  136. 136.

    Wang Y, van Klaveren RJ, de Bock GH et al (2012) No benefit for consensus double reading at baseline screening for lung cancer with the use of semiautomated volumetry software. Radiology 262:320–326

    PubMed  Article  Google Scholar 

  137. 137.

    Zhao Y, de Bock GH, Vliegenthart R et al (2012) Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume. Eur Radiol 22:2076–2084

    PubMed  PubMed Central  Article  Google Scholar 

  138. 138.

    Butler GJ, Forghani R (2013) The next level of radiology peer review: enterprise-wide education and improvement. J Am Coll Radiol 10:349–353

    PubMed  Article  Google Scholar 

  139. 139.

    d’Othee BJ, Haskal ZJ (2013) Interventional radiology peer, a newly developed peer-review scoring system designed for interventional radiology practice. J Vasc Interv Radiol 24:1481-1486.e1

    PubMed  Article  Google Scholar 

  140. 140.

    Gunn AJ, Alabre CI, Bennett SE et al (2013) Structured feedback from referring physicians: a novel approach to quality improvement in radiology reporting. AJR Am J Roentgenol 201:853–857

    PubMed  Article  Google Scholar 

  141. 141.

    Iussich G, Correale L, Senore C et al (2013) CT colonography: preliminary assessment of a double-read paradigm that uses computer-aided detection as the first reader. Radiology 268:743–751

    PubMed  Article  Google Scholar 

  142. 142.

    Iyer RS, Swanson JO, Otto RK, Weinberger E (2013) Peer review comments augment diagnostic error characterization and departmental quality assurance: 1-year experience from a children’s hospital. AJR Am J Roentgenol 200:132–137

    PubMed  Article  Google Scholar 

  143. 143.

    O’Keeffe MM, Davis TM, Siminoski K (2013) A workstation-integrated peer review quality assurance program: pilot study. BMC Med Imaging 13:19

    PubMed  PubMed Central  Article  Google Scholar 

  144. 144.

    Pairon JC, Laurent F, Rinaldo M et al (2013) Pleural plaques and the risk of pleural mesothelioma. J Natl Cancer Inst 105:293–301

    PubMed  Article  CAS  Google Scholar 

  145. 145.

    Rana AK, Turner HE, Deans KA (2013) Likelihood of aneurysmal subarachnoid haemorrhage in patients with normal unenhanced CT, CSF xanthochromia on spectrophotometry and negative CT angiography. J R Coll Physicians Edinb 43:200–206

    PubMed  Article  CAS  Google Scholar 

  146. 146.

    Sun H, Xue HD, Wang YN et al (2013) Dual-source dual-energy computed tomography angiography for active gastrointestinal bleeding: a preliminary study. Clin Radiol 68:139–147

    PubMed  Article  CAS  Google Scholar 

  147. 147.

    Abujudeh H, Pyatt RS Jr, Bruno MA et al (2014) RADPEER peer review: relevance, use, concerns, challenges, and direction forward. J Am Coll Radiol 11:899–904

    PubMed  Article  Google Scholar 

  148. 148.

    Alkasab TK, Harvey HB, Gowda V, Thrall JH, Rosenthal DI, Gazelle GS (2014) Consensus-oriented group peer review: a new process to review radiologist work output. J Am Coll Radiol 11:131–138

    PubMed  Article  Google Scholar 

  149. 149.

    Collins GB, Tan TJ, Gifford J, Tan A (2014) The accuracy of pre-appendectomy computed tomography with histopathological correlation: a clinical audit, case discussion and evaluation of the literature. Emerg Radiol 21:589–595

    PubMed  PubMed Central  Article  Google Scholar 

  150. 150.

    Eisenberg RL, Cunningham ML, Siewert B, Kruskal JB (2014) Survey of faculty perceptions regarding a peer review system. J Am Coll Radiol 11:397–401

    PubMed  Article  Google Scholar 

  151. 151.

    Iussich G, Correale L, Senore C et al (2014) Computer-aided detection for computed tomographic colonography screening: a prospective comparison of a double-reading paradigm with first-reader computer-aided detection against second-reader computer-aided detection. Investig Radiol 49:173–182

    Article  Google Scholar 

  152. 152.

    Iyer RS, Munsell A, Weinberger E (2014) Radiology peer-review feedback scorecards: optimizing transparency, accessibility, and education in a childrens hospital. Curr Probl Diagn Radiol 43:169–174

    PubMed  Article  Google Scholar 

  153. 153.

    Kanne JP (2014) Peer review in cardiothoracic radiology. J Thorac Imaging 29:270–276 quiz 277-278

    PubMed  Article  Google Scholar 

  154. 154.

    Laurent F, Paris C, Ferretti GR et al (2014) Inter-reader agreement in HRCT detection of pleural plaques and asbestosis in participants with previous occupational exposure to asbestos. Occup Environ Med 71:865–870

    PubMed  Article  Google Scholar 

  155. 155.

    Pairon JC, Andujar P, Rinaldo M et al (2014) Asbestos exposure, pleural plaques, and the risk of death from lung cancer. Am J Respir Crit Care Med 190:1413–1420

    PubMed  Article  Google Scholar 

  156. 156.

    Donnelly LF, Merinbaum DJ, Epelman M et al (2015) Benefits of integration of radiology services across a pediatric health care system with locations in multiple states. Pediatr Radiol 45:736–742

    PubMed  Article  Google Scholar 

  157. 157.

    Rosskopf AB, Dietrich TJ, Hirschmann A, Buck FM, Sutter R, Pfirrmann CW (2015) Quality management in musculoskeletal imaging: form, content, and diagnosis of knee MRI reports and effectiveness of three different quality improvement measures. AJR Am J Roentgenol 204:1069–1074

    PubMed  Article  Google Scholar 

  158. 158.

    Strickland NH (2015) Quality assurance in radiology: peer review and peer feedback. Clin Radiol 70:1158–1164

    PubMed  Article  CAS  Google Scholar 

  159. 159.

    Xu DM, Lee IJ, Zhao S et al (2015) CT screening for lung cancer: value of expert review of initial baseline screenings. Am J Roentgenol 204:281–286

    Article  Google Scholar 

  160. 160.

    Chung JH, MacMahon H, Montner SM et al (2016) The effect of an electronic peer-review auditing system on faculty-dictated radiology report error rates. J Am Coll Radiol 13:1215–1218

    PubMed  Article  Google Scholar 

  161. 161.

    Grenville J, Doucette-Preville D, Vlachou PA, Mnatzakanian GN, Raikhlin A, Colak E (2016) Peer review in radiology: a resident and fellow perspective. J Am Coll Radiol 13:217-221.e3

    PubMed  Article  Google Scholar 

  162. 162.

    Kruskal J, Eisenberg R (2016) Focused professional performance evaluation of a radiologist—a Centers for Medicare and Medicaid Services and Joint Commission requirement. Curr Probl Diagn Radiol 45:87–93

    PubMed  Article  Google Scholar 

  163. 163.

    Larson DB, Donnelly LF, Podberesky DJ, Merrow AC, Sharpe RE Jr, Kruskal JB (2017) Peer feedback, learning, and improvement: answering the call of the Institute of Medicine Report on diagnostic error. Radiology 283:231–241

    PubMed  Article  Google Scholar 

  164. 164.

    Lim HK, Stiven PN, Aly A (2016) Reinterpretation of radiological findings in oesophago-gastric multidisciplinary meetings. ANZ J Surg 86:377–380

    PubMed  Article  Google Scholar 

  165. 165.

    Maxwell AJ, Lim YY, Hurley E, Evans DG, Howell A, Gadde S (2017) False-negative MRI breast screening in high-risk women. Clin Radiol 72:207–216

    PubMed  Article  CAS  Google Scholar 

  166. 166.

    Natarajan V, Bosch P, Dede O et al (2017) Is there value in having radiology provide a second reading in pediatric Orthopaedic clinic? J Pediatr Orthop 37:e292–e295

    PubMed  Article  Google Scholar 

  167. 167.

    O’Keeffe MM, Davis TM, Siminoski K (2016) Performance results for a workstation-integrated radiology peer review quality assurance program. Int J Qual Health Care 28:294–298

    PubMed  Article  Google Scholar 

  168. 168.

    Olthof AW, van Ooijen PM (2016) Implementation and validation of PACS integrated peer review for discrepancy recording of radiology reporting. J Med Syst 40:193

    PubMed  Article  CAS  Google Scholar 

  169. 169.

    Pedersen MR, Graumann O, Horlyck A et al (2016) Inter- and intraobserver agreement in detection of testicular microlithiasis with ultrasonography. Acta Radiol 57:767–772

    PubMed  Article  Google Scholar 

  170. 170.

    Verma N, Hippe DS, Robinson JD (2016) JOURNAL CLUB: assessment of Interobserver variability in the peer review process: should we agree to disagree? AJR Am J Roentgenol 207:1215–1222

    PubMed  Article  Google Scholar 

  171. 171.

    Vural U, Sarisoy HT, Akansel G (2016) Improving accuracy of double reading in chest X-ray images by using eye-gaze metrics. Proceedings SIU 2016—24th Signal Processing and Communication Application Conference, 16-19 May 2016, Zonguldak, pp 1209-1212

  172. 172.

    Steinberger S, Plodkowski AJ, Latson L et al (2017) Can discrepancies between coronary computed tomography angiography and cardiac catheterization in high-risk patients be overcome with consensus reading? J Comput Assist Tomogr 41:159–164

    PubMed  Article  Google Scholar 

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Acknowledgements

Many thanks to Birgitta Eriksson at the Medical Library at Örebro University for assistance with literature searches.

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Geijer, H., Geijer, M. Added value of double reading in diagnostic radiology,a systematic review. Insights Imaging 9, 287–301 (2018). https://doi.org/10.1007/s13244-018-0599-0

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Keywords

  • Diagnostic errors
  • Observer variation
  • Diagnostic imaging
  • Review
  • Quality assurance, healthcare