Volume 42, Issue 4 e70136
ORIGINAL ARTICLE

Clinical Study of Post-Chemotherapy Cardiotoxicity in Breast Cancer Patients Based on Ultrasound Radiomics

Caiyun Xia

Caiyun Xia

Department of Ultrasound Medicine, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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Shutian Wu

Shutian Wu

Department of Ultrasound Medicine, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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Yuxin Zhong

Yuxin Zhong

Department of Ultrasound Medicine, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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Jiangtao Wang

Jiangtao Wang

Department of Ultrasound Medicine, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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Alin Yao

Alin Yao

Quality Control Department, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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Biaohu Liu

Corresponding Author

Biaohu Liu

Department of Ultrasound Medicine, YIJISHAN Hospital, Wannan Medical College, Wuhu, Anhui, China

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First published: 29 March 2025
Citations: 1

Funding: This study was supported by Scientific Research Program of Wuhu Municipal Health and Medical Commission (Grant/Award Number: WHWJ2023y007).

ABSTRACT

Purpose

The aim of this study is to develop and validate a combined model based on ultrasound radiomics to detect cardiotoxicity after chemotherapy in patients with breast cancer.

Methods

In this paper, we included 208 patients with breast cancer diagnosed pathologically and after chemotherapy, of whom had high-quality echocardiographic images; among them, 105 cases experienced cardiotoxicity, while 103 cases did not, which were divided into a training set and a validation set using a wholly randomized method according to a ratio of 7:3. Then, the left ventricular myocardium in the parasternal long-axis view of echocardiography was manually traced, the myocardial features of each image were extracted and filtered, and then a radiomics model was established; lastly, we plotted the receiver operating characteristic (ROC) curve; calculated the area under the curve (AUC); and assessed the diagnostic performance of the model.

Results

The AUC of the combined model in the training set was 0.88 (95%CI,0.828–0.936), which was higher than the clinical model at 0.73 (95%CI,0.646–0.807) and the radiomics model at 0.84 (95%CI,0.774–0.903). In the validation set, the AUC of the combined model was 0.87 (95%CI,0.783–0.959), which was higher than the clinical model at 0.75 (95%CI,0.631–0.877) and the radiomics model at 0.81 (95%CI,0.698–0.917). The combined model of the training group and the validation group had statistical significance compared to both the clinical model and the radiomics model (Z = −4.066, p < 0.001; Z = −1.977, p = 0.048); (Z = −1.986, p = 0.047; Z = −2.142, p = 0.032). Meanwhile, the results of Hosmer–Lemeshow goodness-of-fit test were favorable (the training group: X2 = 6.776, p = 0.561; the validation group: X2 = 11.949, p = 0.154).

Conclusion

The combined model based on radiomics is an effective tool for the early diagnosis of cardiac toxicity in breast cancer patients after chemotherapy. It helps to detect cardiotoxicity of breast cancer patients during chemotherapy.

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