Siger Małgorzata, Wydra Jacek, Wildner Paula, Podyma Marek, Puzio Tomasz, Matera Katarzyna, Stasiołek Mariusz, Świderek-Matysiak Mariola
Department of Neurology, Medical University of Lodz, Kopcinskiego Street 22, 90-414 Lodz, Poland.
Pixel Technology LLC, Piekna 1, 93-558 Lodz, Poland.
J Clin Med. 2024 Jan 6;13(2):333. doi: 10.3390/jcm13020333.
Conventional brain magnetic resonance imaging (MRI) in systemic diseases with central nervous system involvement (SDCNS) may imitate MRI findings of multiple sclerosis (MS). In order to better describe the MRI characteristics of these conditions, in our study we assessed brain volume parameters in MS (n = 58) and SDCNS (n = 41) patients using two-dimensional linear measurements (2DLMs): bicaudate ratio (BCR), corpus callosum index (CCI) and width of third ventricle (W3V). In SDCNS patients, all 2DLMs were affected by age (CCI = 0.005, BCR < 0.001, W3V < 0.001, respectively), whereas in MS patients only BCR and W3V were ( = 0.001 and = 0.015, respectively). Contrary to SDCNS, in the MS cohort BCR and W3V were associated with T1 lesion volume (T1LV) ( = 0.020, = 0.009, respectively) and T2 lesion volume (T2LV) ( = 0.015, = 0.009, respectively). CCI was associated with T1LV in the MS cohort only ( = 0.015). Moreover, BCR was significantly higher in the SDCNS group ( = 0.01) and CCI was significantly lower in MS patients ( = 0.01). The best predictive model to distinguish MS and SDCNS encompassed gender, BCR and T2LV as the explanatory variables (sensitivity 0.91; specificity 0.68; AUC 0.86). Implementation of 2DLMs in the brain MRI analysis of MS and SDCNS patients allowed for the identification of diverse patterns of local brain atrophy in these clinical conditions.
中枢神经系统受累的全身性疾病(SDCNS)的传统脑磁共振成像(MRI)可能会模仿多发性硬化症(MS)的MRI表现。为了更好地描述这些疾病的MRI特征,在我们的研究中,我们使用二维线性测量(2DLM)评估了MS(n = 58)和SDCNS(n = 41)患者的脑容量参数:双尾状核比率(BCR)、胼胝体指数(CCI)和第三脑室宽度(W3V)。在SDCNS患者中,所有2DLM均受年龄影响(CCI = 0.005,BCR < 0.001,W3V < 0.001),而在MS患者中,只有BCR和W3V受年龄影响(分别为 = 0.001和 = 0.015)。与SDCNS相反,在MS队列中,BCR和W3V与T1病变体积(T1LV)相关(分别为 = 0.020, = 0.009)和T2病变体积(T2LV)相关(分别为 = 0.015, = 0.009)。CCI仅在MS队列中与T1LV相关( = 0.015)。此外,SDCNS组的BCR显著更高( = 0.01),MS患者的CCI显著更低( = 0.01)。区分MS和SDCNS的最佳预测模型包括性别、BCR和T2LV作为解释变量(敏感性0.91;特异性0.68;AUC 0.86)。在MS和SDCNS患者的脑MRI分析中实施2DLM有助于识别这些临床疾病中不同的局部脑萎缩模式。