1. MRI radiomics model differentiates small hepatic metastases and abscesses in periampullary cancer patients.
- Author
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Park JH, Cho ES, Yoon J, Rhee HJ, Park J, Choi JY, and Chung YE
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Retrospective Studies, Aged, 80 and over, Diagnosis, Differential, Liver Abscess diagnostic imaging, Liver Abscess pathology, Ampulla of Vater diagnostic imaging, Ampulla of Vater pathology, Radiomics, Liver Neoplasms diagnostic imaging, Liver Neoplasms secondary, Magnetic Resonance Imaging methods
- Abstract
This multi-center, retrospective study focused on periampullary cancer patients undergoing MRI for hepatic metastasis and abscess differentiation. T1-weighted, T2-weighted, and arterial phase images were utilized to create radiomics models. In the training-set, 112 lesions in 54 patients (median age [IQR, interquartile range], 73 [63-80]; 38 men) were analyzed, and 123 lesions in 55 patients (72 [66-78]; 34 men) comprised the validation set. The T1-weighted + T2-weighted radiomics model showed the highest AUC (0.82, 95% CI 0.75-0.89) in the validation set. Notably, < 30% T1-T2 size discrepancy in MRI findings predicted metastasis (Ps ≤ 0.037), albeit with AUCs of 0.64-0.68 for hepatic metastasis. The radiomics model enhanced radiologists' performance (AUCs, 0.85-0.87 vs. 0.80-0.84) and significantly increased diagnostic confidence (P < 0.001). Although the performance increase lacked statistical significance (P = 0.104-0.281), the radiomics model proved valuable in differentiating small hepatic lesions and enhancing diagnostic confidence. This study highlights the potential of MRI-based radiomics in improving accuracy and confidence in the diagnosis of periampullary cancer-related hepatic lesions., (© 2024. The Author(s).)
- Published
- 2024
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