@article {Shinohara, author = {R.T. Shinohara and J. Goldsmith and F.J. Mateen and C. Crainiceanu and D.S. Reich}, title = {Predicting Breakdown of the Blood-Brain Barrier in Multiple Sclerosis without Contrast Agents}, year = {2012}, doi = {10.3174/ajnr.A2997}, publisher = {American Journal of Neuroradiology}, abstract = {BACKGROUND AND PURPOSE: Disruption of the BBB in MS is associated with the development of new lesions and clinical relapses and signifies the presence of active inflammation. It is most commonly detected as enhancement on MR imaging performed with contrast agents that are costly and occasionally toxic. We investigated whether the BBB status in white matter lesions may be indirectly ascertained via examination of features on T1- and T2-weighted images obtained before the injection of a contrast agent. MATERIALS AND METHODS: We considered 93 brain MR imaging studies on 16 patients that included T1-, T2-, and T2-weighted FLAIR images and predicted voxel wise enhancement after intravenous injection of a gadolinium chelate. We then used these voxel-level predictions to determine the presence or absence of abnormal enhancement anywhere in the brain. RESULTS: On a voxel-by-voxel basis, enhancement can be predicted by using contrast-free measures with an AUC of 0.83 (95\% CI, 0.80{\textendash}0.87). At the whole-brain level, enhancement can be predicted with an AUC of 0.72 (95\% CI, 0.62{\textendash}0.82). CONCLUSIONS: In many cases, breakdown of the BBB in acute MS lesions may be inferred without the need to inject an MR imaging contrast agent. The inference relies on intrinsic properties of tissue damage in acute lesions. Although contrast studies are more accurate, they may sometimes be unnecessary. Abbreviations AUCarea under receiver operating curveCIconfidence intervalFAflip angleFSPGRfast-spoiled gradient recalledIQRinterquartile rangeNPVnegative predictive valueROCreceiver operating characteristic curve analysisRRMSrelapsing-remitting multiple sclerosisVVvoxel volume}, issn = {0195-6108}, URL = {https://www.ajnr.org/content/early/2012/03/22/ajnr.A2997}, eprint = {https://www.ajnr.org/content/early/2012/03/22/ajnr.A2997.full.pdf}, journal = {American Journal of Neuroradiology} }