Application of microflow imaging (MFI) technology based on Image Pro Plus software in BI-RADS 4 breast nodules and correlation between MFI parameters and Ki-67 expression
10.3760/cma.j.cn113855-20231130-00378
- VernacularTitle:基于Image Pro Plus软件支持的微血流成像技术在乳腺BI-RADS 4类结节中的应用及其参数与Ki-67表达的相关性研究
- Author:
Fan YANG
1
;
Chunwei LIU
;
Dai ZHANG
;
Ying WANG
;
Hailing WANG
;
Xi WEI
Author Information
1. 天津医科大学肿瘤医院超声诊疗科 国家恶性肿瘤临床医学研究中心 天津市肿瘤防治重点实验室 乳腺癌防治教育部重点实验室 天津市恶性肿瘤临床医学研究中心，天津 300060
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Ultrasonography, mammary;
Micro flow imaging;
BI-RADS classification
- From:
Chinese Journal of General Surgery
2025;40(7):551-557
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic value of micro flow imaging (MFI) supported by Image Pro Plus (IPP) software for BI-RADS classification of breast nodules and the correlation between its parameters and Ki-67 expression level.Methods:A total of 205 cases of breast solid nodules with ultrasound BI-RADS classification of 4 categories were enrolled in this study. BI-RADS classification, CDFI score, MFI score, CDFI-IPP score and MFI-IPP score by IPP software were performed for each nodule. Ki-67 immunohistochemical staining of invasive ductal carcinoma was performed to analyze the correlation between MFI-IPP-VI and Ki-67 expression levels.Results:The combined BI-RADS classification for diagnosis of malignant nodules had the largest area under the ROC curve, which was significantly higher than that of BI-RADS, MFI-IPP-VI, MFI score, CDFI-IPP-VI, and CDFI score (all P<0.05). The combined BI-RADS classification had the best diagnostic efficacy for the diagnosis of malignant nodules with a sensitivity of 96.4%, specificity of 65.6% and accuracy of 82.4%. In addition, the agreement between experienced and inexperienced sonographers applying MFI-IPP-VI was higher than MFI (Kappa=0.780 vs. Kappa=0.743). The mean value of Ki-67 in invasive ductal carcinoma was 21.93%±16.37%, and Spearman's correlation analysis showed a positive correlation between MFI-IPP-VI and Ki-67 expression level ( r=0.815, P<0.05). Conclusions:MFI-IPP can assist sonographers to classify breast nodules by BI-RADS, providing an effective basis for puncture biopsy. MFI-IPP-VI offers the possibility of noninvasively predicting the expression level of Ki-67 in invasive ductal carcinoma.
