Cancer Cases from ACRIN Digital Mammographic Imaging Screening Trial: Radiologist Analysis with Use of a Logistic Regression Model
Cancer Cases from ACRIN Digital Mammographic Imaging Screening Trial: Radiologist Analysis with Use of a Logistic Regression Model
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DOI:
10.1148/radiol.2522081457
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发表时间:
2009-08-01
期刊:
影响因子:
19.7
通讯作者:
Gatsonis, Constantine
中科院分区:
文献类型:
--
作者:
Pisano, Etta D.;Acharyya, Suddhasatta;Gatsonis, Constantine
Purpose: To determine which factors contributed to the Digital Mammographic Imaging Screening Trial (DMIST) cancer detection results.Materials and Methods: This project was HIPAA compliant and institutional review board approved. Seven radiologist readers reviewed the film hard-copy (screen-film) and digital mammograms in DMIST cancer cases and assessed the factors that contributed to lesion visibility on both types of images. Two multinomial logistic regression models were used to analyze the combined and condensed visibility ratings assigned by the readers to the paired digital and screen-film images.Results: Readers most frequently attributed differences in DMIST cancer visibility to variations in image contrast-not differences in positioning or compression-between digital and screen-film mammography. The odds of a cancer being more visible on a digital mammogram-rather than being equally visible on digital and screen-film mammograms were significantly greater for women with dense breasts than for women with nondense breasts, even with the data adjusted for patient age, lesion type, and mammography system (odds ratio, 2.28; P