Yang Weijian, Chen Qifang, Yao Haijun, Zhang Jun, Zhang Quan, Fang Jiang, Wu Gang, Hu Jin
Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
National Center for Neurological Disorders, Shanghai, China.
Front Neurol. 2023 Oct 20;14:1279292. doi: 10.3389/fneur.2023.1279292. eCollection 2023.
The objective of this study was to investigate potential correlations between skull density and the progression of chronic subdural hematoma (CSDH).
Patients with unilateral CSDH were retrospectively enrolled between January 2018 and December 2022. Demographic and clinical characteristics, as well as hematoma and skull density (Hounsfield unit, Hu), were collected and analyzed.
The study enrolled 830 patients with unilateral CSDH until the resolution of the CDSH or progressed with surgical treatment. Of the total, 488 patients (58.80%) necessitated surgical treatment. The study identified a significant correlation between the progression of CSDH and three variables: minimum skull density (MiSD), maximum skull density (MaSD), and skull density difference (SDD) ( < 0.001). Additionally, in the multivariable regression analysis, MiSD, MaSD, and SDD were independent predictors of CSDH progression. The MiSD + SDD model exhibited an accuracy of 0.88, as determined by the area under the receiver operating characteristic curve, with a sensitivity of 0.77 and specificity of 0.88. The model's accuracy was validated through additional analysis.
The findings suggest a significant correlation between skull density and the CSDH progression.
本研究的目的是探讨颅骨密度与慢性硬膜下血肿（CSDH）进展之间的潜在相关性。
回顾性纳入2018年1月至2022年12月期间患有单侧CSDH的患者。收集并分析人口统计学和临床特征，以及血肿和颅骨密度（亨氏单位，Hu）。
该研究纳入了830例单侧CSDH患者，直至CSDH消退或接受手术治疗后病情进展。其中，488例患者（58.80%）需要手术治疗。该研究确定CSDH进展与三个变量之间存在显著相关性：最小颅骨密度（MiSD）、最大颅骨密度（MaSD）和颅骨密度差（SDD）（<0.001）。此外，在多变量回归分析中，MiSD、MaSD和SDD是CSDH进展的独立预测因素。MiSD + SDD模型的受试者工作特征曲线下面积确定其准确率为0.88，灵敏度为0.77，特异性为0.88。该模型的准确性通过额外分析得到验证。
研究结果表明颅骨密度与CSDH进展之间存在显著相关性。
