Combining T1 mapping and diffusion weighted imaging for predicting tumor-infiltrating lymphocyte level in invasive breast cancer
10.13929/j.issn.1003-3289.2025.01.018
- VernacularTitle:T1 mapping联合弥散加权成像预测浸润性乳腺癌肿瘤浸润淋巴细胞水平
- Author:
Fan MENG
1
;
Junhui YUAN
;
Shaobo FANG
;
Xiaoxian ZHANG
;
Lanwei GUO
;
Tiandong CHEN
;
Hongkai ZHANG
;
Jingrong QU
;
Renzhi ZHANG
;
Xuejun CHEN
Author Information
1. 郑州大学附属肿瘤医院/河南省肿瘤医院医学影像科,河南郑州 450008
- Publication Type:Journal Article
- Keywords:
breast neoplasms;
lymphocytes,tumor-infiltrating;
magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2025;41(1):84-89
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.
