- •We studied the corpus callosum (CC) index (CCI) and fractional anisotropy (FA) of the CC.
- •CCI and FA were significantly correlated with whole brain volume (BV) in MS patients.
- •We identified optimal cutoff values for the CCI and FA of the CC to categorize MS patients.
- •The cutoff values categorized MS patients into mild, moderate, or severe BV loss groups.
- •The cutoff values classified MS patients with high sensitivity and specificity.
Recent studies suggest that parameters of the corpus callosum (CC), such as the CC index (CCI) and fractional anisotropy (FA) of the CC, may be related to the degree of brain volume loss (BVL) in MS patients; however, cutoff values that determine the degree of BVL have not been set.
Seventy-five MS patients and 21 healthy controls (HCs) underwent volumetric MRI examinations. MS patients were also evaluated for T2 lesion load, the CCI, and FA of the CC. Among the 75 MS patients, 20 had undergone cognitive assessments with the Symbol Digit Modalities Test (SDMT). After 75 MS patients were categorized into mild, moderate, or severe BVL subgroups according to our previous report, we performed receiver operating characteristic analysis to determine the cutoff values of CCI and FA, categorizing the MS patients into the three subgroups.
The volume of the CC was significantly reduced in MS patients compared to that in HCs. The CCI and FA were significantly associated with EDSS, disease duration, clinical phenotype, T2-lesion load, and whole brain volume. The FA was significantly correlated with the SDMT score. We identified optimal cutoff values for the CCI and FA of 0.32 (85% sensitivity, 92% specificity) and 0.39 (100% sensitivity, 92% specificity), respectively, which discriminated the severe BVL group from others, and 0.385 (84% sensitivity, 74% specificity) and 0.45 (81% sensitivity, 89% specificity), respectively, which discriminated the mild BVL group from others.
The CCI and FA cutoff values may be useful for evaluating the degree of MS brain atrophy in clinical practice.
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Published online: July 08, 2020
Accepted: July 7, 2020
Received in revised form: July 2, 2020
Received: May 15, 2020
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