The predictive value of an intratumoral and peritumoral radiomics nomogram based on high b-value diffusion apparent diffusion coefficient maps for prostate cancer
10.3969/j.issn.1002-1671.2025.01.015
- VernacularTitle:基于高b值扩散表观扩散系数图的瘤内瘤周影像组学列线图对前列腺癌的预测价值
- Author:
Mengxuan YUAN
1
;
Jian PENG
;
Wanjun LU
;
Zhenqian QIN
;
Yimin XIE
;
Qun LIU
;
Minglong ZHU
Author Information
1. 扬州大学附属江都人民医院影像科,江苏 扬州 225200
- Publication Type:Journal Article
- Keywords:
prostate cancer;
radiomics;
nomogram;
peritumoral;
apparent diffusion coefficient
- From:
Journal of Practical Radiology
2025;41(1):67-71
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the preoperative diagnostic value of a radiomics nomogram based on intratumoral and peritumoral apparent diffusion coefficient(ADC)maps for prostate cancer.Methods A retrospective collection was conducted on MRI images of 503 patients with prostate lesions confirmed by pathology.The region of interest(ROI)was delineated on the ADC maps and extended 1-5 mm outward to form the peritumoral region.Radiomics features were extracted from both intratumoral and peritumoral regions,and radiomics models were established.A combined model integrating clinical model was constructed and a nomogram was drawn.The performance of each model and nomogram were evaluated.Results The combined model achieved the highest area under the curve(AUC)in the test set(AUC=0.823)at a peritumoral distance of 3 mm.The nomogram based on the combined model showed good predictive performance and clinical utility on both decision curve analysis(DCA)and calibration curve.Conclusion The radiomics nomogram based on intratumoral and peritumoral ADC maps has the greatest diagnostic value in distinguishing benign and malignant prostate cancer at a peritumoral distance of 3 mm before surgery.
