Yan Yu, Wang Jianchao, Fang Jincai, Song Yunnong
Department of Neurosurgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
J Korean Neurosurg Soc. 2025 Sep;68(5):592-599. doi: 10.3340/jkns.2024.0125. Epub 2025 Jun 16.
Texture analysis is widely used in all walks of life, and also in medicine. This paper aims to discuss the value of texture analysis in postoperative recurrence of chronic subdural hematoma (CSDH).
A total of 173 patients with CSDH who were hospitalized in our hospital from January 2018 to August 2023 were selected . All the patients underwent magnetic resonance imaging (MRI) examinations before surgery. According to whether patients with CSDH have relapsed after surgery, the patients are divided into recurrence group and non-recurrence group. FireVoxel software (https://firevoxel.org) was used to manually delineate the region of interest on the largest level of the hematoma cavity during MRI plain scans and measure the texture parameters. The texture parameters with statistical difference were analyzed by receiver operating characteristic curve.
Heterogeneity and entropy texture parameters in the recurrence group were statistically different from those in the nonrecurrence group (p<0.05). When the cut-off point of the heterogeneity parameter was 0.284, the sensitivity, specificity, and accuracy of judging whether CSDH relapsed were 83.3%, 80.4%, and 80.7%, respectively.
Texture analysis of CSDH can provide a new method to judge the recurrence of patients with CSDH.
纹理分析在各行各业广泛应用,在医学领域也不例外。本文旨在探讨纹理分析在慢性硬膜下血肿(CSDH)术后复发中的价值。
选取2018年1月至2023年8月在我院住院的173例CSDH患者。所有患者在手术前均接受磁共振成像(MRI)检查。根据CSDH患者术后是否复发,将患者分为复发组和非复发组。利用FireVoxel软件(https://firevoxel.org)在MRI平扫时于血肿腔最大层面手动勾勒感兴趣区并测量纹理参数。对有统计学差异的纹理参数进行受试者操作特征曲线分析。
复发组的异质性和熵纹理参数与非复发组有统计学差异(p<0.05)。当异质性参数的截断点为0.284时,判断CSDH是否复发的敏感度、特异度和准确度分别为83.3%、80.4%和80.7%。
CSDH的纹理分析可为判断CSDH患者的复发提供一种新方法。