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Table 2 Diagnostic accuracy measures in non-contrast-enhanced MRI techniques and contrast-enhanced techniques in multiple sclerosis

From: Diagnostic value of alternative techniques to gadolinium-based contrast agents in MR neuroimaging—a comprehensive overview

Clinical question

Diagnostic performance non-CE

Diagnostic performance CE gold standard

Author (year)

Predict contrast enhancement in multiple sclerosis

AUC 0.83 (95% CI 0.80–0.87) non-enhanced conv MRI and logistic regression model fitting

CE T1 reference standard

Shinohara et al. (2012)

Predict contrast enhancement in multiple sclerosis

AUC 0.72 T2 burden of disease

CE T1 reference standard

Barkhof et al. (2005)

Predict contrast enhancement in multiple sclerosis

AUC 0.93 (95% CI 0.87–0.99) T2W, SDC, QSM

CE T1 reference standard

Gupta et al. (2018)

Predict contrast enhancement in multiple sclerosis

T2-weighted texture parameters 86% sensitivity, 84% specificity

CE T1 reference standard

Michoux et al. (2015)

  1. AUC area under curve, CE contrast-enhanced, conv conventional, GBCA gadolinium-based contrast agent, SDC statistical detection of change, QSM quantitative susceptibility mapping