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 < .0001). The odds of a cancer being more visible at digital mammography--rather than being equally visible at digital and screen-film mammography--were significantly greater for lesions imaged with the General Electric digital mammography system than for lesions imaged with the Fischer (P = .0070) and Fuji (P = .0070) devices. CONCLUSION: The significantly better diagnostic accuracy of digital mammography, as compared with screen-film mammography, in women with dense breasts demonstrated in the DMIST was most likely attributable to differences in image contrast, which were most likely due to the inherent system performance improvements that are available with digital mammography. The authors conclude that the DMIST results were attributable primarily to differences in the display and acquisition characteristics of the mammography devices rather than to reader variability.
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 < .0001). The odds of a cancer being more visible at digital mammography--rather than being equally visible at digital and screen-film mammography--were significantly greater for lesions imaged with the General Electric digital mammography system than for lesions imaged with the Fischer (P = .0070) and Fuji (P = .0070) devices. CONCLUSION: The significantly better diagnostic accuracy of digital mammography, as compared with screen-film mammography, in women with dense breasts demonstrated in the DMIST was most likely attributable to differences in image contrast, which were most likely due to the inherent system performance improvements that are available with digital mammography. The authors conclude that the DMIST results were attributable primarily to differences in the display and acquisition characteristics of the mammography devices rather than to reader variability.
Authors: E D Pisano; E B Cole; S Major; S Zong; B M Hemminger; K E Muller; R E Johnston; R Walsh; E Conant; L L Fajardo; S A Feig; R M Nishikawa; M J Yaffe; M B Williams; S R Aylward Journal: Radiology Date: 2000-09 Impact factor: 11.105
Authors: Aili K Bloomquist; Martin J Yaffe; Etta D Pisano; R Edward Hendrick; Gordon E Mawdsley; Stewart Bright; Sam Z Shen; Mahadevappa Mahesh; Edward L Nickoloff; Richard C Fleischman; Mark B Williams; Andrew D A Maidment; Daniel J Beideck; Joseph Och; J A Seibert Journal: Med Phys Date: 2006-03 Impact factor: 4.071
Authors: Mark B Williams; Martin J Yaffe; Andrew D A Maidment; Melissa C Martin; J Anthony Seibert; Etta D Pisano Journal: J Am Coll Radiol Date: 2006-08 Impact factor: 5.532
Authors: Anna N A Tosteson; Natasha K Stout; Dennis G Fryback; Suddhasatta Acharyya; Benjamin A Herman; Lucy G Hannah; Etta D Pisano Journal: Ann Intern Med Date: 2008-01-01 Impact factor: 25.391
Authors: Daniel B Kopans; Etta D Pisano; Suddhasatta Acharyya; R Edward Hendrick; Martin J Yaffe; Emily F Conant; Laurie L Fajardo; Lawrence W Bassett; Janet K Baum; Constantine A Gatsonis Journal: Radiology Date: 2008-08 Impact factor: 11.105
Authors: Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner Journal: N Engl J Med Date: 2005-09-16 Impact factor: 91.245
Authors: Patricia A Carney; Diana L Miglioretti; Bonnie C Yankaskas; Karla Kerlikowske; Robert Rosenberg; Carolyn M Rutter; Berta M Geller; Linn A Abraham; Steven H Taplin; Mark Dignan; Gary Cutter; Rachel Ballard-Barbash Journal: Ann Intern Med Date: 2003-02-04 Impact factor: 25.391
Authors: Janet K Baum; Lucy G Hanna; Suddhasatta Acharyya; Mary C Mahoney; Emily F Conant; Lawrence W Bassett; Etta D Pisano Journal: Radiology Date: 2011-04-18 Impact factor: 11.105
Authors: Elodia B Cole; Zheng Zhang; Helga S Marques; R Edward Hendrick; Martin J Yaffe; Etta D Pisano Journal: AJR Am J Roentgenol Date: 2014-10 Impact factor: 3.959