| Autor: |
Guo, Qinhao, Lin, Zijing, Lu, Jing, Li, Rong, Wu, Lei, Deng, Lin, Qiang, Jinwei, Wu, Xiaohua, Gu, Yajia, Li, Haiming |
| Předmět: |
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| Zdroj: |
Abdominal Radiology; Mar2023, Vol. 48 Issue 3, p1119-1130, 12p |
| Abstrakt: |
Purpose: To develop and validate an MRI-based radiomics nomogram for the preoperative prediction of miliary changes in the small bowel mesentery (MCSBM) in advanced high-grade serous ovarian cancer (HGSOC). Materials and methods: One hundred and twenty-eight patients with pathologically proved advanced HGSOC (training cohort: n = 91; validation cohort: n = 37) were retrospectively included. All patients were initially evaluated as MCSBM-negative by preoperative imaging modalities but were finally confirmed by surgery and histopathology (MCSBM-positive: n = 53; MCSBM-negative: n = 75). Five radiomics signatures were built based on the features from multisequence magnetic resonance images. Independent clinicoradiological factors and radiomics-fusion signature were further integrated to construct a radiomics nomogram. The performance of the nomogram was assessed using receiver operating characteristic (ROC) curves, calibration curves and clinical utility. Results: Radiomics signatures, ascites, and tumor size were independent predictors of MCSBM. A nomogram integrating radiomics features and clinicoradiological factors demonstrated satisfactory predictive performance with areas under the curves (AUCs) of 0.871 (95% CI 0.801–0.941) and 0.858 (95% CI 0.739–0.976) in the training and validation cohorts, respectively. The net reclassification index (NRI) and integrated discrimination improvement (IDI) revealed that the nomogram had a significantly improved ability compared with the clinical model in the training cohort (NRI = 0.343, p = 0.002; IDI = 0.299, p < 0.001) and validation cohort (NRI = 0.409, p = 0.015; IDI = 0.283, p = 0.001). Conclusion: Our proposed nomogram has the potential to serve as a noninvasive tool for the prediction of MCSBM, which is helpful for the individualized assessment of advanced HGSOC patients. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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