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Discrimination between benign and malignant gallbladder lesions on enhanced CT imaging using radiomics
Ying-Ying Zhuang1, Yun Feng1, Dan Kong1
1Departments of Imaging, The Affiliated Huai'an No 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, PR China.
Radiomics analysis of enhanced CT scans effectively distinguishes benign from malignant gallbladder lesions. This advanced imaging technique improves diagnostic accuracy for gallbladder cancer, aiding early detection and patient outcomes.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Gallbladder cancer is a rare but aggressive malignancy.
- Diagnosis often occurs at advanced stages, leading to poor patient outcomes.
Purpose of the Study:
- To develop a radiomics model for discriminating between benign and malignant gallbladder lesions.
- Utilize enhanced computed tomography (CT) imaging for improved diagnostic capabilities.
Main Methods:
- Preoperative contrast-enhanced CT scans were analyzed.
- Radiomics features were extracted and selected using mRMR and LASSO methods.
- Three models (clinical, radiomics, nomogram) were constructed and evaluated using AUC and calibration curves.
Main Results:
- The nomogram model achieved the highest AUC (0.980 in training, 0.948 in testing).
- Radiomics and nomogram models showed superior diagnostic accuracy compared to the clinical model.
- No significant differences in diagnostic accuracy were found between models in the testing group.
Conclusions:
- Radiomics analysis using enhanced CT imaging effectively discriminates between benign and malignant gallbladder lesions.
- This approach holds promise for improving the diagnosis of gallbladder pathologies.
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