Skip to main content

O-RADS MRI to classify adnexal tumors: from clinical problem to daily use

Abstract

Eighteen to 35% of adnexal masses remain non-classified following ultrasonography, leading to unnecessary surgeries and inappropriate management. This finding led to the conclusion that ultrasonography was insufficient to accurately assess adnexal masses and that a standardized MRI criteria could improve these patients’ management. The aim of this work is to present the different steps from the identification of the clinical issue to the daily use of a score and its inclusion in the latest international guidelines. The different steps were the following: (1) preliminary work to formalize the issue, (2) physiopathological analysis and finding dynamic parameters relevant to increase MRI performances, (3) construction and internal validation of a score to predict the nature of the lesion, (4) external multicentric validation (the EURAD study) of the score named O-RADS MRI, and (5) communication and education work to spread its use and inclusion in guidelines. Future steps will include studies at patients’ levels and a cost-efficiency analysis.

Critical relevance statement We present translating radiological research into a clinical application based on a step-by-step structured and systematic approach methodology to validate MR imaging for the characterization of adnexal mass with the ultimate step of incorporation in the latest worldwide guidelines of the O-RADS MRI reporting system that allows to distinguish benign from malignant ovarian masses with a sensitivity and specificity higher than 90%.

Key points

• The initial diagnostic test accuracy studies show the limitation of a preoperative assessment of adnexal masses using solely ultrasonography.

• The technical developments (DCE/DWI) were investigated with the value of dynamic MRI to accurately predict the nature of benign or malignant lesions to improve management.

• The first developing score named ADNEX MR Score was constructed using multiple easily assessed criteria on MRI to classify indeterminate adnexal lesions following ultrasonography.

• The multicentric adnexal study externally validated the score creating the O-RADS MR score and leading to its inclusion for daily use in international guidelines.

Introduction

An accurate discrimination between benign and malignant ovarian lesions is of paramount importance in gynecologic management. The precise characterization of adnexal lesions can significantly impact patient care and treatment outcomes. Indeed, accurate characterization helps prevent unnecessary surgical interventions in cases where the lesion is determined to be benign [1, 2]. Unwarranted surgeries can lead to increased morbidity, prolonged hospital stays, and higher healthcare costs. For women of reproductive age, preserving fertility is a critical concern. Accurate characterization allows clinicians to make informed decisions about fertility-sparing treatments when dealing with benign lesions, thereby safeguarding the patient’s ability to conceive in the future [3, 4]. For malignant lesions, precise characterization contributes to the determination of the optimal treatment approach. Discussion in multidisciplinary team sessions helps gynecologic oncologists plan appropriate surgical procedures, chemotherapy, or radiation therapy, leading to better treatment outcomes. Early detection and referral of malignant lesions to gynecologic oncologists contribute to improved survival rates [5]. Earlier surgical removal and pathological analysis lead to more effective treatments and better chances of disease control. Prompt and accurate diagnosis can help alleviate patient anxiety and emotional distress associated with uncertainty about their condition. Providing patients with clear information and appropriate referrals instills confidence in their healthcare providers [6]. Accurate characterization allows for efficient coordination among various medical specialties, such as gynecologists, radiologists, pathologists, and oncologists, to provide comprehensive and patient-centered care. Patients can make well-informed decisions about their treatment options when they have a clear understanding of their diagnosis and prognosis.

To achieve these benefits, continuous efforts should be made to improve diagnostic imaging techniques. The historical reliance on ultrasound as the primary imaging modality for diagnosing ovarian lesions has led to several challenges and limitations in accurately distinguishing between benign and malignant tumors. Among those, factors such as patient characteristics, lesion characteristics, operator expertise, and invasive nature of surgery are important [7, 8]. MR imaging was proven to be an accurate second-line technique many decades ago but was not integrated into standardized clinical protocols and guidelines for adnexal lesion management. The development of a multiparametric approach based on morphological and functional MR criteria allowed to develop a score that strongly increases the negative predictive value of malignancy and thus placed MRI as a useful tool for the management of patients.

In this paper, we will present translating radiological research into a clinical application based on a step-by-step structured and systematic approach methodology. The aim was to validate MR imaging for the characterization of adnexal mass and the ultimate step of incorporation in the latest worldwide guidelines of the O-RADS MRI reporting system. This O-RADS MRI score enables to distinguish benign ovarian masses from malignant ones with a sensitivity and specificity higher than 90% [9, 10]. Moreover, the different ongoing research and professional development of healthcare providers will be presented as they are determinants to ensure that the latest evidence-based practices be included in clinical care.

Study design and methodology

The O-RADS MRI score development is a model of a top-down approach according to evidence-based medicine [11,12,13,14]. The top-down approach involves academic centers and experts while the bottom-up approach involves physicians in daily practice. Each step that led to the completion of the EURAD study (which results allow the princeps publication of O-RADS MRI score) was performed with respect to the scientific method [15].

Clinical question

The lack of a standardized tool (prior to the validation of the O-RADS MRI score) for predicting malignancy in adnexal masses is a common challenge during weekly dedicated multidisciplinary team (MDT) sessions, limiting collaboration between radiologists and gynecological surgeons. The conventional “subjective” description of adnexal mass on MR imaging to predict malignancy are hardly reproducible across observers. Moreover, the intraoperative frozen section has limits to provide a reliable diagnosis, reinforcing the need for precise preoperative imaging [16].

Road map

The unmet clinical need refers to the challenge of accurately identifying malignant (cancerous) adnexal masses during ultrasound (US) examinations. Adnexal masses detected through US examinations can appear indeterminate, making it difficult for clinicians to confidently determine whether they are benign (non-cancerous) or malignant [17]. As a result, there is a risk of false-positive cases, where patients might undergo unnecessary cancer surgeries due to the uncertainty surrounding the diagnosis [2, 18].

To address this issue, researchers have conducted observational studies, particularly single-center diagnostic test accuracy studies, to assess the performance of different imaging techniques in distinguishing between benign and malignant adnexal masses [19,20,21]. MRI is known for its excellent soft tissue contrast and ability to provide detailed images of internal organs, making it a valuable tool in diagnosing adnexal masses [22]. In 2005, Kinkel et al. conducted a Bayesian analysis to evaluate the incremental benefit of using a second imaging test (such as MRI) after an inconclusive US examination. Bayesian analysis is a statistical approach that can be used to combine prior knowledge (prior probability) with new evidence (likelihood) to update the probability of an event (posterior probability). This paper concluded that in women with an indeterminate ovarian mass at US, MR imaging results contributed to a change in the probability of ovarian cancer in both pre- and postmenopausal women more than did CT or combined gray-scale and Doppler US results [23]. Based on these elements, the European Society of Urogenital Radiology wrote the guidelines for MR imaging of the sonographically indeterminate adnexal mass and proposed a first algorithmic and problem-solving approach based on signal characteristics and morphology [24].

Overall, these studies and analyses aim to improve the diagnostic accuracy in distinguishing benign from malignant adnexal masses, thereby reducing the number of false-positive cases. However, these studies included only morphological criteria and did not reach enough negative predictive value to really impact the number of unnecessary cancer surgeries.

In this setting, strong and reproducible functional MR criteria were developed to improve adnexal mass characterization. The ability of DCE MR imaging was first proven to improve the evaluation of the origin of purely solid ovarian masses which remains the first step to analyze a pelvic mass [25]. In this paper, the DCE MR enhancement rate was higher for uterine leiomyomas than for ovarian fibromas in terms of both maximal enhancement (p < 0.001) and enhancement rate at 30 s (p = 0.009), 60 s (p = 0.007), and 90 s (p = 0.0009) [25].

Then, testing of technical developments was initiated in a Ph.D. to pursue the usefulness of DCE MR to characterize solid tissue in adnexal masses. First, Thomassin-Naggara et al. proved that the DCE MR criteria of the time-intensity curve (enhancement amplitude, time to enhancement, maximal slope) were correlated with angiogenesis biomarkers, i.e., pericyte coverage index and VEGF receptors expression [25]. A second series of papers demonstrate the feasibility and the value of functional MR imaging to discriminate benign from malignant lesions [26,27,28]. In addition, these papers highlighted that functional criteria could improve diagnostic value when combined with morphological criteria (25% for DCE/15% for DWI of diagnosis correctly reclassified).

Based on the literature between 2002 and 2012, a systematic review published by gynecologists established pelvic MRI as the “gold standard” in the subsequent evaluation of US indeterminate adnexal lesions. In this paper, the authors concluded that MRI with intravenous (IV) contrast administration provides the highest post-test probability of ovarian cancer detection. However, the preponderant contribution of MRI in adnexal mass evaluation is its specificity because it provides a confident diagnosis of many benign adnexal lesions [29].

Despite the amount of evidence in the literature, at that time, there was no translation into clinical practice and the need for standardization of the model of the RADS system to have an impact on the management of patients existed. Hence, in 2013, a new study reported the ability to combine the MR criteria in a multivariate analysis and build the first version of the score named ADNEX MR score [30]. This score was developed on a monocentric cohort from a referral tertiary care center for gynecological malignancies on masses considered as indeterminate at ultrasonography (US). The study population comprised 394 women who underwent MR imaging between January 1, 2008, and October 30, 2010, for the characterization of 497 adnexal masses that were seen in US. Then, masses were chronologically divided into a training set (329 masses) and a validating set (168 masses). The score was accurate and reproducible in this retrospective cohort.

Several teams in the world validated in different monocentric studies this score [31,32,33]. Based on the amount of retrospective data, and the necessary prior clinical use of an external validation of this new scoring system, a prospective multicentric European cohort was launched: the EURAD Study [34]. This work was funded by a grant from the Société d’Imagerie de la Femme (SIFEM) and supported by the National Institute of Health Research Imperial Biomedical Research Centre and the Cancer Research UK Imperial Centre.

A summary of the road map that led to the EURAD study is presented in Figs. 1 and 2.

Fig. 1
figure 1

Evidence levels, steps of progression, and publications associated

Fig. 2
figure 2

Validation of functional imaging to improve adnexal masses characterization

EURAD Study

During the European Congress of Urogenital Radiology in Dubrovnik in 2011 [35], 15 expert radiologists agreed to participate in a multicentric validation of the ADNEX MR score.

Two investigator coordinators were designated to write the protocol which was discussed with all investigators who were key opinion leaders in adnexal mass imaging in Europa.

Study design

The EURAD Study was a prospective multicenter study finally conducted between March 1, 2013, and March 31, 2018. Participant enrollment took place between March 1, 2013, and March 31, 2016.

Inclusion criteria

Recruitment was undertaken in 15 centers, each with a main investigator from the European Society of Urogenital Radiology Female Pelvic Imaging working group or from Société d’Imagerie de la Femme. Several studies underlined that 18 to 31% of ovarian tumors remain indeterminate after ultrasonography [7, 8]. For the EURAD Study, the main inclusion criteria were the description at ultrasonography of an indeterminate mass at ultrasonography without using any ultrasonographic scores. This is in line with clinical routine. Furthermore, the subjective analysis of adnexal masses at ultrasonography by an expert is proven more accurate than any ultrasonographic score [36]. In order to ensure the notion of an expert sonographer, the quality of ultrasonography was quoted in addition, with a quality score of 7 points for all patients included in the EURAD Study.

MR imaging protocol

Patients underwent a routine pelvic MR imaging (1.5 T or 3 T), including morphological sequences (T2, T1 with and without fat suppression, and T1 after dynamic gadolinium injection) and functional sequences (perfusion and diffusion-weighted sequences).

Data collection

Prospectively, one senior (expertise in pelvic MR imaging > 5 years) and one junior radiologists (expertise in pelvic MR imaging 6–12 months) independently analyzed the different MR criteria to characterize adnexal masses. The MR report was issued as standard, and the patients were managed accordingly. Then, the reader classified the mass using the score.

Reference standard

The classification was compared to routine clinical management which can include surgical procedures and histology or standard clinical follow-up depending on the most appropriate routine practice. Finally, 362 of 1340 patients (27.0%) undergoing expectant management with a 2-year follow-up, which was completed by March 31, 2018. The decision to not exclude adnexal masses without surgery and only expectant management was crucial to have a prevalence of malignancy similar to the clinical routine.

Data collection

Preliminary period

A session of 30 DICOM cases was downloaded for a session for all teams participating to the multicenter validation to evaluate the quality of the MR examination. Moreover, a training session for all investigators was conducted during the ESUR Congress in Edinburg in 2012 [37].

Prospective data collection

The readers were informed of clinical and ultrasonographic data, analyzed the different MR criteria present in the MR Score, and classified the mass. At the end of the procedure, DICOM data was sent to the center coordinator for another reading of each case will be performed by two other senior radiologists without any knowledge of clinical, ultrasonographic, pathological, or follow-up data.

The reproducibility of the classification was tested between the junior and the senior radiologist. After anonymization, images were analyzed by another senior radiologist of another center blinded from any clinical or ultrasonographical data at the end of the study and correlated with the reference standard.

Data analysis

Data analysis was performed by a senior statistician under clinical guidance to better apprehend the clinical aspects associated with the score analysis.

Main results

The MR score was accurate when stratifying the risk of malignancy in adnexal masses with a sensitivity of 0.93 and a specificity of 0.91, reproducible with a high interrater agreement among both experienced and junior readers (κ = 0.784), and able to correctly reclassify the mass origin as non-adnexal with a sensitivity of 0.99 a specificity of 0.78. These results were published in the journal JAMA Network Open under the name O-RADS MRI score (that replaced “ADNEX MRI” name), and this publication is considered as the princeps publication of the score [38].

Impact

Clinical application development

Regarding the impact, the development of O-RADS MRI score has standardized MR protocol acquisition including gadolinium injection and functional DCE and DW MR sequences in European countries. Moreover, a standardized report was built and diffused by the SIFEM, ESUR, and ACR. An update of ESUR Recommendations for MR imaging of the sonographically indeterminate adnexal mass was published integrating functional criteria in MR protocol [39]. The American College of Radiology and the European Society of Radiology endorsed a common lexicon to describe adnexal masses at MR imaging [40].

The use of MR score helps in improving patient management selecting women who would benefit from a referral to specialized multidisciplinary center for ovarian cancer [6]. In France, a patient with an adnexal mass-rated O-RADS MRI 4 or 5 should be referred to an accredited center defined by a minimal number of advanced ovarian cancer surgeries of 20 per year, as many studies demonstrated a correlation between the survival of the patient and the expertise of the surgeon and his multidisciplinary team.

Based on the EURAD Study’s findings, the guidelines were developed for incorporating MR imaging into the clinical management of adnexal masses. In 2019, French guidelines clearly outline when and how to use MR scores and recommend to include a score at the end of any MR report for the characterization of adnexal masses [9]. Subsequently, international societies such as the American College of Radiology (ACR) and the European Society of Radiology (ESR) included the O-RADS MRI Scoring system in the guidelines for the diagnostic workup of indeterminate adnexal masses following ultrasonography [10, 41]. Compared with other RADS systems (BI-RADS, LI-RADS, GI-RADS), the O-RADS MR score was based on a statistical analysis and tested in a clinical outline. Moreover, few criteria are needed to be learned, and the success of this classification was its easiness of use for non-specialized radiologists, as the reproducibility of the score was well demonstrated in many different clinical studies [30, 38]. Some authors reported on its implementation in clinical practice [42, 43].

Education and training

A determinant factor to enable the adoption of this new system is a large communication campaign. Several educational papers were published since the creation of the O-RADS MRI Score in 2020 [44,45,46]. Moreover, an educational group of experts was created by the ACR who organized many training programs and workshops around the world to disseminate the knowledge effectively. This group also allows the translation of O-RADS MRI scores in more than ten different languages. Thus, a lot of educational webinars and sessions during the international congress were organized in RSNA ECR, SAR, and ESUR. Many educational resources are available on a dedicated website.

Clinical implementation and monitoring

Monitoring the impact and gathering feedback are necessary adjustments based on real-world experiences and advancements in technology. In this setting, a clinical trial was initiated in 2018 named ASCORDIA to evaluate the impact of the O-RADS MRI Score on surgical management [47]. Another prospective study named MROC study conducted in the UK also tested the implementation of MR score in a randomized study on the management of patients [48]. This study evaluates the possibility of mpMRI, including O-RADS MR Score, providing an improved radiological assessment for the classification and delineation of the extent of disease for patients with suspected ovarian cancer compared to standard of care CT assessment, potentially facilitating more accurate decisions regarding patient management by the MDT. The results of these two prospective studies are not yet published.

Continuous research and improvement

Different secondary studies were subsequently published following the princeps publication in JAMA in 2020 [38]. First, an analysis of misclassified cases using an O-RADS MRI score was performed [49]. The objective was to determine the presumptive causes of these misclassifications which were mainly due to the interpretation of solid tissue or incorrect assignment of mass origin. This publication allowed us to focus on these points’ educational programs. A second study evaluated the necessity to use time-intensity curve in O-RADS MRI Score, which may not be universally available [50]. This study demonstrated that time-intensity curve analysis was more accurate than visual assessment for achieving optimal diagnostic accuracy with the Ovarian-Adnexal Reporting and Data System MRI score. A third study analyzed the impact of the ADC value of the cystic component to improve the performance of the O-RADS MRI score and demonstrated its added value for subcategorizing O-RADS MRI score 4 [51]. Many other studies are ongoing across the world.

Publication and communication

A metanalysis has been recently published by an Italian team confirming a sensitivity and specificity higher than 90% of the O-RADS MR score in a cohort of 3731 women (4520 adnexal lesions) [52].

To promote the diffusion of the score, an online calculator was developed (https://www.oradsmricalc.com/) [53] to help physicians identify the criteria required to classify. This will contribute to the dissemination of knowledge and favor adoption by the wider medical community. In this setting, a dedicated Twitter account was created to diffuse the new research findings and outcomes through peer-reviewed publications and presentations at relevant conferences.

Lesson learned

A successful translation of radiological research into a clinical application requires a collaborative effort among researchers, clinicians, and other stakeholders to ensure its successful integration into clinical practice. More than 10 years passed since the publication of the first MR score in 2013 [30]. Morris et al. published a review of the literature describing and quantifying time lags in the health research translation process [54]. Their main conclusion is that 17 years are usually required for research evidence to reach clinical practice [55, 56] but depends on the field investigated. If we analyzed the classical 6 levels of hierarchy for studies on diagnostic tests [57], MR imaging for the characterization of adnexal masses has passed step 1 (validation of technical performance), step 2 (validation of diagnostic performance), and step 3 (validation of diagnostic impact). ASCORDIA and MROC studies will probably help to pass step 4 (validation of therapeutic impact) and more lately step 5 (patient outcomes). However, the validation of step 6 (societal impact) is not yet planned. These elements are summarized in Fig. 2.

In conclusion, challenges along the translational process are multiple, even following guidelines of publications [58,59,60]. Physician-level barriers include knowing that guidelines exist, knowing or agreeing with their content, and having the time to apply the guidelines in the clinical setting. One of the strengths of the EURAD study was to involve a community of key opinion leaders in different European and American countries that have influenced progressively the clinical practice. Further studies must be conducted to reach the complete translation in clinical routine.

Availability of data and materials

Not applicable.

References

  1. Atri M, Alabousi A, Reinhold C et al (2019) ACR Appropriateness Criteria® clinically suspected adnexal mass, no acute symptoms. J Am Coll Radiol 16:S77–93

  2. Byrne ME, Spross J, Zivanovic O, Gardner G, Chi D, Roche KL (2018) Risk of ovarian malignancy in patients undergoing surgery for an adnexal mass at a high-volume cancer center [36A]. Obstet Gynecol 131:18S

    Article  Google Scholar 

  3. Younis JS, Shapso N, Fleming R, Ben-Shlomo I, Izhaki I (2019) Impact of unilateral versus bilateral ovarian endometriotic cystectomy on ovarian reserve: a systematic review and meta-analysis. Hum Reprod Update 25:375–391

    Article  PubMed  Google Scholar 

  4. Roman H, Auber M, Mokdad C et al (2011) Ovarian endometrioma ablation using plasma energy versus cystectomy: a step toward better preservation of the ovarian parenchyma in women wishing to conceive. Fertil Steril 96:1396–1400

    Article  PubMed  Google Scholar 

  5. du Bois A, Reuss A, Pujade-Lauraine E, Harter P, Ray-Coquard I, Pfisterer J (2009) Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d’Investigateurs Nationaux Pour les Etudes des Cancers de l’Ovaire (GINECO). Cancer 115:1234–1244

    Article  PubMed  Google Scholar 

  6. Querleu D, Ray-Coquard I, Classe JM et al (2013) Quality indicators in ovarian cancer surgery: report from the French Society of Gynecologic Oncology (Societe Francaise d’Oncologie Gynecologique, SFOG). Ann Oncol 24:2732–2739

    Article  CAS  PubMed  Google Scholar 

  7. Timmerman D, Ameye L, Fischerova D et al (2010) Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group. BMJ 14:c6839

    Article  Google Scholar 

  8. Sayasneh A, Wynants L, Preisler J et al (2013) Multicentre external validation of IOTA prediction models and RMI by operators with varied training. Br J Cancer 108:2448–2454

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Bekhouche A, Pottier E, Abdel Wahab C et al (2020) Nouvelles recommandations pour le bilan des masses annexielles indéterminées. Imag Femme 30:39–79

    Article  Google Scholar 

  10. Stein EB, Roseland ME, Shampain KL, Wasnik AP, Maturen KE (2021) Contemporary guidelines for adnexal mass imaging: a 2020 update. Abdom Radiol (NY) 46:2127–2139

    Article  PubMed  Google Scholar 

  11. Sardanelli F, Hunink MG, Gilbert FJ, Di Leo G, Krestin GP (2010) Evidence-based radiology: why and how? Eur Radiol 20:1–15

    Article  PubMed  Google Scholar 

  12. Malone DE, Staunton M (2007) Evidence-based practice in radiology: step 5 (evaluate)–caveats and common questions. Radiology 243:319–328

    Article  PubMed  Google Scholar 

  13. Dodd JD (2007) Evidence-based practice in radiology: steps 3 and 4–appraise and apply diagnostic radiology literature. Radiology 242:342–354

    Article  PubMed  Google Scholar 

  14. van Beek EJR, Malone DE (2007) Evidence-based practice in radiology education: why and how should we teach it? Radiology 243:633–640

    Article  PubMed  Google Scholar 

  15. Gauch HG (2003) Scientific method in practice. Cambridge: Cambridge University Press, p 458. https://books.google.fr/books/about/Scientific_Method_in_Practice.html?id=iVkugqNG9dAC&redir_esc=y

  16. Bazot M, Nassar-Slaba J, Thomassin-Naggara I, Cortez A, Uzan S, Daraï E (2006) MR imaging compared with intraoperative frozen-section examination for the diagnosis of adnexal tumors; correlation with final histology. Eur Radiol 16:2687–2699

    Article  PubMed  Google Scholar 

  17. Jha P, Gupta A, Baran TM et al (2022) Diagnostic performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk score in women in the United States. JAMA Netw Open 5:e2216370

    Article  PubMed  PubMed Central  Google Scholar 

  18. Boos J, Brook OR, Fang J, Brook A, Levine D (2018) Ovarian cancer: prevalence in incidental simple adnexal cysts initially identified in CT examinations of the abdomen and pelvis. Radiology 286:196–204

    Article  PubMed  Google Scholar 

  19. Ghossain MA, Buy JN, Lignères C et al (1991) Epithelial tumors of the ovary: comparison of MR and CT findings. Radiology 181:863–870

    Article  CAS  PubMed  Google Scholar 

  20. Hricak H, Chen M, Coakley FV et al (2000) Complex adnexal masses: detection and characterization with MR imaging–multivariate analysis. Radiology 214:39–46

    Article  CAS  PubMed  Google Scholar 

  21. Sohaib SAA, Sahdev A, Van Trappen P, Jacobs IJ, Reznek RH (2003) Characterization of adnexal mass lesions on MR imaging. AJR Am J Roentgenol 180:1297–1304

    Article  PubMed  Google Scholar 

  22. Outwater EK, Siegelman ES, Talerman A, Dunton C (1997) Ovarian fibromas and cystadenofibromas: MRI features of the fibrous component. J Magn Reson Imaging 7:465–471

    Article  CAS  PubMed  Google Scholar 

  23. Kinkel K, Lu Y, Mehdizade A, Pelte MF, Hricak H (2005) Indeterminate ovarian mass at US: incremental value of second imaging test for characterization–meta-analysis and Bayesian analysis. Radiology 236:85–94

    Article  PubMed  Google Scholar 

  24. Spencer JA, Forstner R, Cunha TM, Kinkel K, ESUR Female Imaging Sub-Committee (2010) ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach. Eur Radiol. 20:25–35

    Article  PubMed  Google Scholar 

  25. Thomassin-Naggara I, Daraï E, Nassar-Slaba J, Cortez A, Marsault C, Bazot M (2007) Value of dynamic enhanced magnetic resonance imaging for distinguishing between ovarian fibroma and subserous uterine leiomyoma. J Comput Assist Tomogr 31:236–242

    Article  PubMed  Google Scholar 

  26. Thomassin-Naggara I, Daraï E, Cuenod CA, Rouzier R, Callard P, Bazot M (2008) Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J Magn Reson Imaging 28:111–120

    Article  PubMed  Google Scholar 

  27. Thomassin-Naggara I, Daraï E, Cuenod CA et al (2009) Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses. Eur Radiol 19:1544–1552

    Article  PubMed  Google Scholar 

  28. Thomassin-Naggara I, Balvay D, Aubert E et al (2012) Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study. Eur Radiol 22:738–745

    Article  PubMed  Google Scholar 

  29. Anthoulakis C, Nikoloudis N (2014) Pelvic MRI as the “gold standard” in the subsequent evaluation of ultrasound-indeterminate adnexal lesions: a systematic review. Gynecol Oncol 132:661–668

    Article  CAS  PubMed  Google Scholar 

  30. Thomassin-Naggara I, Aubert E, Rockall A et al (2013) Adnexal masses: development and preliminary validation of an MR imaging scoring system. Radiology 267:432–443

    Article  PubMed  Google Scholar 

  31. Ruiz M, Labauge P, Louboutin A, Limot O, Fauconnier A, Huchon C (2016) External validation of the MR imaging scoring system for the management of adnexal masses. Eur J Obstet Gynecol Reprod Biol 205:115–119

    Article  PubMed  Google Scholar 

  32. Pereira PN, Sarian LO, Yoshida A et al (2018) Accuracy of the ADNEX MR scoring system based on a simplified MRI protocol for the assessment of adnexal masses. Diagn Interv Radiol 24:63–71

    PubMed  PubMed Central  Google Scholar 

  33. Sasaguri K, Yamaguchi K, Nakazono T et al (2019) External validation of ADNEX MR SCORING system: a single-centre retrospective study. Clin Radiol 74:131–139

    Article  CAS  PubMed  Google Scholar 

  34. Study Record | Beta ClinicalTrials.gov. Available from: https://clinicaltrials.gov/study/NCT02664597?term=Thomassin-Naggara&rank=2. [Cited 2023 Jul 17]

  35. Dubrovnik 2011 | esur.org. Available from: https://www.esur.org/dubrovnik-2011/. [Cited 2023 Jul 22]

  36. Meys EMJ, Kaijser J, Kruitwagen RFPM et al (2016) Subjective assessment versus ultrasound models to diagnose ovarian cancer: a systematic review and meta-analysis. Eur J Cancer 1990:17–29

    Article  Google Scholar 

  37. ESUR Meeting History. ESUR23. Available from: https://esur.uroweb.org/the-meeting/esur-congress-history/. [Cited 2023 Jul 22]

  38. Thomassin-Naggara I, Poncelet E, Jalaguier-Coudray A et al (2020) Ovarian-adnexal reporting data system magnetic resonance imaging (O-RADS MRI) score for risk stratification of sonographically indeterminate adnexal masses. JAMA Netw Open. 3:e1919896

    Article  PubMed  PubMed Central  Google Scholar 

  39. Forstner R, Thomassin-Naggara I, Cunha TM et al (2017) ESUR recommendations for MR imaging of the sonographically indeterminate adnexal mass: an update. Eur Radiol 27:2248–2257

    Article  PubMed  Google Scholar 

  40. Reinhold C, Rockall A, Sadowski EA et al (2021) Ovarian-adnexal reporting lexicon for mri: a white paper of the ACR Ovarian-Adnexal Reporting and Data Systems MRI Committee. J Am Coll Radiol 18:713–729

    Article  PubMed  Google Scholar 

  41. O-Rads. Available from: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/O-RADS. [Cited 2023 Jul 22]

  42. Thomassin-Naggara I, Dabi Y, Florin M et al (2023) O-RADS MRI Score: an essential firststep tool for the characterization of adnexal masses. J Magn Reson Imaging https://doi.org/10.1002/jmri.28947

  43. Sebastià C, Cabedo L, Fusté P, Muntmany M, Nicolau C (2022) The O-RADS MRI score for the characterization of indeterminate ovarian masses: from theory to practice. Radiologia 64:542–551

    Article  PubMed  Google Scholar 

  44. Sadowski EA, Maturen KE, Rockall A et al (2021) Ovary: MRI characterisation and O-RADS MRI. Br J Radiol 94:20210157

    Article  PubMed  PubMed Central  Google Scholar 

  45. Sadowski EA, Rockall A, Thomassin-Naggara I et al (2023) Adnexal lesion imaging: past, present, and future. Radiology 307:e223281

    Article  PubMed  Google Scholar 

  46. Sadowski EA, Thomassin-Naggara I, Rockall A et al (2022) O-RADS MRI Risk Stratification System: guide for assessing adnexal lesions from the ACR O-RADS Committee. Radiology 303:35–47

    Article  PubMed  Google Scholar 

  47. ADNEXMR Scoring System: impact of an MR scoring system on therapeutic strategy of pelvic adnexal masses - full text view - ClinicalTrials.gov. Available from: https://clinicaltrials.gov/ct2/show/NCT02664597. [Cited 2023 Jul 22]

  48. ISRCTN - ISRCTN51246892: MR in ovarian cancer. Available from: https://www.isrctn.com/ISRCTN51246892. [Cited 2023 Jul 23]

  49. Thomassin-Naggara I, Belghitti M, Milon A et al (2021) O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort. Eur Radiol 31:9588–9599

    Article  CAS  PubMed  Google Scholar 

  50. Wengert GJ, Dabi Y, Kermarrec E et al (2022) O-RADS MRI classification of indeterminate adnexal lesions: time-intensity curve analysis is better than visual assessment. Radiology 303:566–575

    Article  PubMed  Google Scholar 

  51. Assouline V, Dabi Y, Jalaguier-Coudray A et al (2022) How to improve O-RADS MRI score for rating adnexal masses with cystic component? Eur Radiol 32:5943–5953

    Article  CAS  PubMed  Google Scholar 

  52. Rizzo S, Cozzi A, Dolciami M et al (2023) O-RADS MRI: a systematic review and meta-analysis of diagnostic performance and category-wise malignancy rates. Radiology 307:e220795

    Article  PubMed  Google Scholar 

  53. O-RADS MRI calculator. Available from: https://www.oradsmricalc.com/. [Cited 2023 Jul 22]

  54. Morris ZS, Wooding S, Grant J (2011) The answer is 17 years, what is the question: understanding time lags in translational research. J R Soc Med 104:510–520

    Article  PubMed  PubMed Central  Google Scholar 

  55. Westfall JM, Mold J, Fagnan L (2007) Practice-based research–“blue highways” on the NIH roadmap. JAMA 297:403–406

    Article  CAS  PubMed  Google Scholar 

  56. Green LW, Ottoson JM, García C, Hiatt RA (2009) Diffusion theory and knowledge dissemination, utilization, and integration in public health. Annu Rev Public Health 30:151–174

    Article  PubMed  Google Scholar 

  57. Dodd JD, MacEneaney PM, Malone DE (2004) Evidence-based radiology: how to quickly assess the validity and strength of publications in the diagnostic radiology literature. Eur Radiol 14:915–922

    Article  PubMed  Google Scholar 

  58. Woolf SH (2000) Changing physician practice behavior: the merits of a diagnostic approach. J Fam Pract 49:126–129

    CAS  PubMed  Google Scholar 

  59. Feifer C, Fifield J, Ornstein S et al (2004) From research to daily clinical practice: what are the challenges in “translation”? Jt Comm J Qual Saf 30:235–245

    PubMed  Google Scholar 

  60. Cabana MD, Rand CS, Powe NR et al (1999) Why don’t physicians follow clinical practice guidelines? A framework for improvement. JAMA 282:1458–1465

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This article belongs to the thematic series entitled “Translating radiological research into practice – from discovery to clinical impact” (guest editor: Marion Smits (Rotterdam/NL)).

Collaborators of the EURAD Study group

I. Thomassin-Naggara

E. Poncelet

A. Jalaguier-Coudray

A. Guerra

L.S. Fournier

S. Stojanovic

I. Millet

N. Bharwani

V. Juhan

T. M. Cunha

G. Masselli

C. Balleyguier

C. Malhaire

N. Perrot

M. Bazot

P. Taourel

E. Darai

A.G. Rockall

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

YD and ITN were major contributors in writing the manuscript. AR, CT, LR, and ES were contributors in reviewing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Isabelle Thomassin-Naggara.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article belongs to the thematic series entitled “Translating radiological research into practice – from discovery to clinical impact” (Guest Editor: Marion Smits (Rotterdam/NL)).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dabi, Y., Rockall, A., Sadowski, E. et al. O-RADS MRI to classify adnexal tumors: from clinical problem to daily use. Insights Imaging 15, 29 (2024). https://doi.org/10.1186/s13244-023-01598-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13244-023-01598-0

Keywords