Prediction of postoperative progression-free survival in patients with endometrial cancer based on MRI radiomics nomogram
10.3969/j.issn.1002-1671.2024.07.018
- VernacularTitle:基于MRI影像组学诺模图预测子宫内膜癌患者术后无进展生存期
- Author:
Caihong LIANG
1
,
2
;
Ling LIU
;
Xiaodong JI
;
Lixiang HUANG
;
Yujiao ZHAO
;
Cheng ZHANG
;
Luyang MA
;
Yanqi ZHOU
;
Wen SHEN
Author Information
1. 天津医科大学一中心临床学院放射科,天津 300190
2. 天津市静海区医院放射科,天津 301699
- Keywords:
endometrial cancer;
magnetic resonance imaging;
progression-free survival;
Radiomics score
- From:
Journal of Practical Radiology
2024;40(7):1116-1120
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the clinical application value of MRI Radiomics score(Radscore)combined with clinicopatho-logical features in predicting postoperative progression-free survival(PFS)of patients with endometrial cancer(EC).Methods A total of 127 patients with EC were selected.The radiomic features of the lesions were extracted from T2 WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images.The features were screened by random forest model and Radscore was calcu-lated.Simultaneously,clinical and pathological characteristics of patients were collected and incorporated,and multivariate Cox regression analysis was used to screen the risk factors related to PFS.The MRI Radscore and clinicopathological features were mapped to the nomogram,and the performance of nomogram was evaluated by receiver operating characteristic(ROC)curve and calibration curve.Results Multivariate Cox regression analysis showed that progesterone receptor(PR),human epididymis protein 4(HE4)and MRI Radscore were independent risk factors for predicting PFS in patients with EC(P＜0.05).The area under the curve(AUC)of the predicted PFS at 1,3 and 5 years after surgery were 0.91,0.804 and 0.776,respectively.Calibration curves showed that nomogram had a good fit in predicting PFS in patients with EC 1,3 and 5 years after surgery.Conclusion The nomogram con-structed based on multi-sequence MRI Radscore and clinicopathological features has favorable accuracy and stability in predicting postoperative PFS in individuals diagnosed with EC.
