Mammography screening using independent double reading with consensus: is there a potential benefit for computer-aided detection?

Background: Double reading improves the cancer detection rate in mammography screening. Single reading with computer-aided detection (CAD) has been considered to be an alternative to double reading. Little is known about the potential benefit of CAD in breast cancer screening with double reading.

Computer-aided detection of solid lung nodules on follow-up MDCT screening: evaluation of detection, tracking, and reading time.

Objective: The purpose of this article is to assess detection, tracking, and reading time of solid lung nodules > or = 4 mm on pairs of MDCT chest screening examinations using a computer-aided detection (CAD) system.

Materials And Methods: Of 54 pairs of low-dose MDCT chest examinations (1.25-mm collimation), two chest radiologists in consensus established that 25 examinations contained 52 nodules > or = 4 mm.

Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms.

Objective: The purpose of this study was to evaluate the performance and potential contribution of computer-aided detection (CAD) to independent double reading of paired screen-film and full-field digital screening mammograms.

Materials And Methods: The cases of 3,683 women who underwent both screen-film mammography and full-field digital mammography (FFDM) with independent double reading for each technique were followed for 2 years to include cancers detected in the interval between screening rounds and cancers detected at the next screening round. Fifty-five biopsy-proven cancers were diagnosed.

Computer-aided detection of solid lung nodules in lossy compressed multidetector computed tomography chest exams.

Rationale And Objectives: To assess the effect of three-dimensional (3D) lossy image compression of multidetector computed tomography chest scans on computer-aided detection (CAD) of solid lung nodules greater than 4 mm in size.

Materials And Methods: A total of 120 cases, acquired with 1.25-mm collimation, were collected from 5 different sites, of which 66/120 were low-dose cases.

Computer aided detection (CAD): an overview.

Computer aided detection (CAD) is a technology designed to decrease observational oversights--and thus the false negative rates--of physicians interpreting medical images. Prospective clinical studies have demonstrated an increase in breast cancer detection with CAD assistance. This overview briefly describes the metrics that have been used to define CAD system performance.

Computer-aided detection in diagnostic mammography: detection of clinically unsuspected cancers.

Objective: We had two objectives: to determine the percentage of women presenting with clinical findings whose diagnostic mammogram led to detection of a breast cancer at a site distant from the original clinical complaint and to assess the performance of computer-aided detection (CAD) on diagnostic mammography.

Materials And Methods: Three institutions contributed consecutive cases in which a mammogram was obtained to evaluate a clinical finding, after which a histologic diagnosis of breast cancer was made. Clinical data and the mammograms were reviewed to determine the nature of the clinical findings and to document the location and characteristics of 212 biopsy-proven cancers in 197 patients who met the study criteria.

Invasive lobular carcinoma of the breast: mammographic characteristics and computer-aided detection.

Purpose: To characterize the mammographic appearance of invasive lobular carcinoma in a large series of screening-detected consecutive breast cancers and to evaluate the ability of a computer-aided detection system to mark these carcinomas.

Materials And Methods: Investigators used the Breast Imaging Reporting and Data System lexicon to characterize lesions as part of a retrospective review of 90 screening mammographic examinations that led to biopsy-proved diagnosis of 94 invasive lobular carcinoma lesions. The 40 available prior mammographic examinations (obtained 9-24 months earlier) were also reviewed to characterize any visible findings.

Computer-aided detection in oncologic imaging: screening mammography as a case study.

Accuracy of the imaging report is dependent on the observational and interpretive skills of the radiologist, which varies between observers. Over the past several decades, research programs have focused on the use of computer algorithms to address both the perception and the interpretation aspects of diagnostic imaging. Computer-based technology that analyzes images in order to detect features of disease is called computer-aided detection (CAD).