Mammographic features of breast cancers at single reading with computer-aided detection and at double reading in a large multicenter prospective trial of computer-aided detection: CADET II

Radiology
Jonathan J JamesStephen W Duffy

Abstract

To evaluate the mammographic features of breast cancer that favor lesion detection with single reading and computer-aided detection (CAD) or with double reading. The Computer Aided Detection Evaluation Trial II study was approved by the ethics committee, and all participants provided written informed consent. A total of 31,057 women were recruited from three screening centers between September 2006 and August 2007. They were randomly allocated to the double reading group, the single reading with CAD group, or the double reading and single reading with CAD group at a ratio of 1:1:28, respectively. In this study, cancers in the women whose mammograms were read with both single reading with CAD and double reading were retrospectively reviewed. The original mammograms were obtained for each case and reviewed by two of three experienced breast radiologists in consensus. The method of detection was noted. The size and predominant mammographic feature of the cancer were recorded, as was the breast density. CAD marking data were reviewed to determine if the cancer had been correctly marked. A total of 227 cancers were detected in 28,204 women. A total of 170 cases were recalled with both reading regimens. Lesion types were masses (66%)...Continue Reading

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Citations

Sep 24, 2014·AJR. American Journal of Roentgenology·Elodia B ColeEtta D Pisano
Jul 10, 2012·Academic Radiology·Yueyi I Liu, Daniel L Rubin
Feb 23, 2020·Radiology. Artificial Intelligence·Emily F ConantJeffrey W Hoffmeister
Apr 28, 2021·Clinical Radiology·H M C Cheung, D Rubin

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