Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: 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). METHODS: 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. RESULTS: 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. CONCLUSION: Texture analysis of CSDH can provide a new method to judge the recurrence of patients with CSDH.
Authors: Yu Yan, Jianchao Wang, Jincai Fang, Yunnong Song
Institution: Jiaxing University
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $300
OpenAlex ID: W4411325489