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The Value of Texture Analysis in Postoperative Recurrence of Chronic Subdural Hematoma
Yu Yan1, Jianchao Wang1, Jincai Fang1
1Department of Neurosurgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Insights
Texture analysis using MRI can predict chronic subdural hematoma (CSH) recurrence. Specific texture parameters like heterogeneity show significant differences between recurrent and non-recurrent cases, offering a novel diagnostic approach.
Area of Science:
- Radiology
- Medical Imaging
- Neurosurgery
Background:
- Chronic subdural hematoma (CSDH) is a common neurosurgical condition.
- Postoperative recurrence of CSDH poses a clinical challenge.
- Predictive markers for CSDH recurrence are needed.
Purpose of the Study:
- To evaluate the utility of texture analysis in predicting postoperative recurrence of CSDH.
- To identify texture parameters from pre-operative MRI that correlate with CSDH recurrence.
Main Methods:
- Retrospective analysis of 173 CSDH patients who underwent pre-operative MRI.
- Texture parameters were extracted from MRI scans using FireVoxel software.
- Receiver operating characteristic (ROC) curve analysis was performed on statistically significant texture parameters.
Main Results:
- Heterogeneity and entropy texture parameters were significantly different between the recurrence and non-recurrence groups (p<0.05).
- The heterogeneity parameter achieved 83.3% sensitivity, 80.4% specificity, and 80.7% accuracy in predicting CSDH recurrence at a cut-off of 0.284.
Conclusions:
- Texture analysis of pre-operative MRI is a promising non-invasive method for assessing CSDH recurrence risk.
- This technique can aid in clinical decision-making and patient management for CSDH.
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.
