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Table 3 Imaging biomarkers for disease response assessment (semi-quantitative and quantitative) with examples of current evidence for their use that would support decision-making

From: Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)

 

Biomarker

SemiQ/Q

Disease

Question answered

Utility of biomarker

Data from

Potential decision for

Non-malignant disease

Volumetric high resolution CT density (quantitative interstitial lung disease, QILD)

Q

Scleroderma

Response to cyclophosphamide

24-month changes in QILD scores in the whole lung correlated significantly 24-month changes in forced vital capacity (ρ  = − 0.37), diffusing capacity (ρ = − 0.22) and breathlessness (ρ = − 0.26) [164]

Single centre

Continue, change or stop treatment

Left Ventricular ejection fraction LVEF

Q

Pulmonary hypertension

Myocardial ischaemia/infarction

Right and left cardiac sufficiency

Improvement in cardiac function

Increases in 6-min walk distance were significant correlated with change in right ventricular ejection fraction and left ventricular end-diastolic volume [165]

Monitoring cardiac function [166]

Multicentre

Multicentre

Continue, change or stop treatment

Malignant disease

RECIST/morphological volume

Q

Cancer

Response

Current guidelines for response assessment [167]

Multicentre

Continue, change or stop treatment

PERCIST/metabolic volume [168]

Q

Cancer

Response

Current guidelines for response assessment

Multicentre

Continue, change or stop treatment

Scoring systems for disease burden

SQ

Multiple sclerosis

Rheumatoid arthritis

Reduction in disease burden

Effects on MRI lesions over 6–9 months predict the effects on relapses at 12–24 months) [169]

International consensus on scoring system [170]

Meta-analysis

Review

Continue, change or stop therapy

DSC-MRI

SQ (rCBV)

Brain cancer

Differentiation of treatment effects and tumour progression

In 2 meta-analyses MRI had high pooled sensitivities and specificities: 87% (95% CI, 0.82–0.91) to 90% (95% CI, 0.85-0.94) sensitivity and 86% (95% CI, 0.77–0.91) to 88% (95% CI, 0.83-0.92) specificity [171, 172]

Meta-analysis

Decision to treat

18F FDG-SUVmax [173]

Q

Multiple cancer types

Response to therapy

Rectal cancer-pooled sensitivity, 73%; pooled specificity, 77%; pooled AUC, 0.83 [174]

Intratreatment low SUVmax (persistent low or decrease of 18F-FDG uptake) predictive of loco-regional control in head and neck cancer [175]

Meta-analysis

Meta-analysis

Continue, change or stop therapy

Deauville or RECIL score on 18 F-FDG-PET

SQ

Lymphoma

CR, PR, SD or PD [176]

Assessment of tumour burden in lymphoma clinical trials can use the sum of longest diameters of a maximum of three target lesions [177]

Multicentre

Continue, change or stop therapy

Targeted agents

HER2

PSMA

SQ

Breast cancer [178]

Prostate cancer [179]

Reduction in tumour cells expressing these antigens

Tumour receptor specific

Effects of treatment on receptor expression

Single centre studies, review

Continue, change or stop therapy

ADC [117]

SQ

Q

Rectal cancer

Breast cancer

Response to neoadjuvant chemotherapy

Response to neoadjuvant chemotherapy

Additional value in both the prediction and detection of (complete) response to therapy compared with conventional sequences alone [180]

After 12 weeks of therapy, change in ADC predicts complete pathologic response to neoadjuvant chemotherapy (AUC = 0.61, p = 0.013) [181]

Review

Multicentre

Continue, change or stop therapy, proceed to surgery

CT perfusion/blood flow

Q

Oesophageal cancer

Response to chemoradiotherapy

Multivariate analysis identified blood flow as a significant independent predictor of response [182]

Single centre

Further treatment

DCE-MR parameters

Q

Multiple cancer types

Response to therapy

Particular benefit in assessing therapy response to antiangiogenic agents [183]

Review

Change therapeutic strategy

CT density HU

Q

Gastrointestinal stromal tumours

Response to chemotherapy

Decrease in tumour density of > 15% on CT had a sensitivity of 97% and a specificity of 100% in identifying PET responders versus 52% and 100% by RECIST [184]

 

Continue, change or stop therapy

  1. Biomarkers used visually in the clinic are given in italics, and those that are used quantitatively are in bold
  2. Abbreviations: ADC apparent diffusion coefficient, APT amide proton transfer, AUC area under curve, BI-RADS breast imaging reporting and data systems, CBV cerebral blood volume, CoV coefficient of variation, CR complete response, CT computerised tomography, DCE dynamic contrast enhanced, DFS disease-free survival, DOTATOC DOTA octreotitide, DOTATATE DOTA octreotate, DSC dynamic susceptibility contrast, ECG electro cardiogram, FDG fluorodeoxyglucose, FLT fluoro thymidine, HR hazard ratio, HU Hounsfield unit, ICC intraclass correlation, IQR interquartile range, LVEF left ventricular ejection fraction, MRF magnetic resonance fingerprinting, MRI magnetic resonance imaging, MTR magnetisation transfer ratio, NCCN National Comprehensive Cancer Network, OS overall survival, pCT perfusion computerised tomography, PERCIST positron emission tomography response criteria in solid tumours, PD progressive disease, PFS progression-free survival, PPV positive predictive value, PI-RADS prostate imaging reporting and data systems, PR partial response, PSMA prostate-specific membrane antigen, RECIL response evaluation in lymphoma, RECIST response evaluation criteria in solid tumours, ROC receiver operating characteristic, SD stable disease, SUV standardised uptake value, SWE shear wave elastography, US ultrasound