Ultrasound-based radiomics model in predicting efficacy of neoadjuvant chemotherapy in breast cancer / 中国医学影像技术

ABSTRACT

Objective: To investigate the clinical value of ultrasound-based radiomics model in predicting clinical efficacy of neoadjuvant chemotherapy (NACT) in breast cancer. Methods: Totally 53 breast cancer patients were divided into clinical response group and clinical non-response group according to clinical outcomes of NACT. Clinical data and grayscale ultrasound characteristics were compared between the two groups. Moreover, radiomic features of greyscale ultrasonic images of breast cancers were extracted and selected to build an influential prediction model using Logistic regression. ROC curve was used to evaluate the efficacy of the model for diagnostic clinical response after NACT. Results: Totally 32 patients were enrolled in clinical response group, while 21 in clinical non response group. No significant difference was found in age, menopause ratio, cancer staging and molecular typing (all P>0.05), nor in longest diameter of lesion, echo pattern, calcification, boundary, shadow, shape between the two groups (all P>0.05). Logistic regression model was successfully performed with 6 adapted features, which predicted the clinical response after NACT with an AUC of 0.88 (95% CI [0.78, 0.99]), the sensitivity and specificity was 0.88 and 0.81, respectively. Conclusion: Ultrasound-based radiomics model has certain value in predicting clinical efficacy of NACT in breast cancer.