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Factors influencing the performance of a diagnostic model including contrast-enhanced ultrasound in 1023 breast lesions: comparison with histopathology

  
@article{ATM32302,
	author = {Yijie Chen and Lina Tang and Zhongshi Du and Zhaoming Zhong and Jun Luo and Lichun Yang and Ruoxia Shen and Yan Cheng and Zizhen Zhang and Ehui Han and Zhihong Lv and Lijun Yuan and Yong Yang and Yinrong Cheng and Lei Yang and Shengli Wang and Baoyan Bai and Qin Chen},
	title = {Factors influencing the performance of a diagnostic model  including contrast-enhanced ultrasound in 1023 breast lesions:  comparison with histopathology},
	journal = {Annals of Translational Medicine},
	volume = {7},
	number = {22},
	year = {2019},
	keywords = {},
	abstract = {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 },
	issn = {2305-5847},	url = {http://atm.amegroups.com/article/view/32302}
}