Hypothalamic lesions in neuromyelitis optica spectrum disorders: exploring a scoring system based on magnetic resonance imaging

• Published in: Japanese journal of radiology Vol. 39; no. 7; pp. 659 - 668
• Main Authors: Luo, Wenjing, Fang, Ling, Wang, Zhanhang, Liu, Zifeng, Liao, Jinchi, Meng, Zhanao, Shen, Shishi, Liu, Baozhu, Li, Rui, Kermode, Allan G., Qiu, Wei
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.07.2021; Springer Nature B.V
• Subjects: Abnormalities; Confidence intervals; Correlation coefficient; Correlation coefficients; Diagnosis; Disorders; Hypothalamus; Imaging; Lesions; Magnetic resonance imaging; Medical imaging; Medicine; Medicine & Public Health; Neuromyelitis; Nuclear Medicine; Original Article; Radiology; Radiotherapy; Regression analysis; Resonance; Sleep; Sleep and wakefulness; Sleepiness; Statistical analysis; Hypothalamus; MRI; Sleepiness; Scoring system; NMOSD
• ISSN: 1867-1071; 1867-108X; 1867-108X
• DOI: 10.1007/s11604-021-01104-w

Purpose We propose a scoring system for early diagnosis of sleep abnormalities in neuromyelitis optica spectrum disorders (NMOSD) with hypothalamic lesions based on magnetic resonance imaging (MRI). Materials and methods We evaluated MRI features of 45 patients with hypothalamic lesions identified from two cohorts. Univariate logistic regression analysis identified factors associated with sleepiness, which were subsequently used to develop a scoring system. Interrater reliability was determined using intraclass correlation coefficient (ICC). Correlations between scores and clinical features were analyzed. Results In total, 48.9% of 45 patients with hypothalamic lesions exhibited sleepiness. The number of involved slices, maximum width/length of hypothalamic lesions, and boundaries extending beyond the hypothalamus were associated with sleepiness (all p  < 0.05). The sensitivity and specificity of the scoring system were 68.2% and 87.0%, respectively. The ICC values for the maximum width and length measurement of hypothalamic lesions were 0.82 and 0.81, respectively. Daily sleep time and Epworth sleepiness scale scores were positively correlated with MRI-based scores ( p  < 0.05, 95% confidence interval (CI) 0.69–0.93 and p  < 0.05, 95% CI 0.55–0.88, respectively). Conclusion A scoring system based on MRI features was developed to provide diagnosis of sleepiness in NMOSD with hypothalamic lesions earlier than other measures.