TY - JOUR AU - Chen, Yijie AU - Tang, Lina AU - Du, Zhongshi AU - Zhong, Zhaoming AU - Luo, Jun AU - Yang, Lichun AU - Shen, Ruoxia AU - Cheng, Yan AU - Zhang, Zizhen AU - Han, Ehui AU - Lv, Zhihong AU - Yuan, Lijun AU - Yang, Yong AU - Cheng, Yinrong AU - Yang, Lei AU - Wang, Shengli AU - Bai, Baoyan AU - Chen, Qin PY - 2019 TI - Factors influencing the performance of a diagnostic model including contrast-enhanced ultrasound in 1023 breast lesions: comparison with histopathology JF - Annals of Translational Medicine; Vol 7, No 22 (November 29, 2019): Annals of Translational Medicine Y2 - 2019 KW - N2 - Background: We aimed to investigate the influence of patient and lesion characteristics on our diagnostic model for contrast-enhanced ultrasound (CEUS) of the breast, comparing its accuracy with that of histopathology. Methods: Conducting a study with eight medical centers, we compared 1,023 breast lesions categorized as BI-RADS 4 or 5 with the score from our newly-established CEUS-based diagnostic model, comparing the results with pathological outcomes. Univariate and multivariate logistic regression analyses were conducted to determine the influence of clinicopathological characteristics on the performance of this CEUS model. Results: Logistic regression analysis showed that patients’ age, maximum lesion diameter, and distance from the lesion’s deep edge to the pectoralis major were significant independent influencing factors. The model’s diagnostic accuracy was greater for patients >35 y (P=0.005), for maximum lesion diameter >20 mm, and for distance from the lesion’s deep edge to the pectoralis major ≤3.05 mm. There was no significant difference in accuracy between lesions with maximum lesion diameter 10–20 and Conclusions: The diagnostic performance of the proposed CEUS model for breast lesions is influenced by patients’ age, maximum lesion diameter, and distance from the lesion’s deep edge to the pectoralis major. Consideration of influencing factors is required to optimize clinical use of the CEUS model. UR - https://atm.amegroups.org/article/view/32302