Literature DB >> 11348384

Digital and Computer-Aided Mammography.

Lawrence W. Bassett1.   

Abstract

Digital mammography uses an electronic system to record an image of the breast that can be stored on a computer instead of on hardcopy films. There are a number of digital mammography technologies under evaluation. The potential advantages of digital mammography include improvements in image contrast, manipulation of the image after it is performed (avoiding repeats for technical problems), elimination of lost films, reduction in film library maintenance costs, and the ability to transmit the images over long distances (telemammography). Challenges and potential problems for digital mammography include a need to prove equivalence in detection and diagnosis with conventional mammography, the high cost of digital mammography equipment, and lagging workstation technology. Computer-aided detection and diagnosis (CAD) uses analysis by a computer program to assist the interpreting physician in identifying abnormal findings on mammograms and in making a benign versus malignant diagnosis of calcifications and masses. Several studies suggest that this technology can reduce the incidence of missed cancers and improve the positive predictive value for biopsies. CAD can be performed after digitization of hardcopy films but is best suited to digitally acquired soft copy images.

Entities:  

Year:  2000        PMID: 11348384     DOI: 10.1046/j.1524-4741.2000.20051.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  3 in total

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Journal:  J Digit Imaging       Date:  2008-01-15       Impact factor: 4.056

2.  Synthesis of conjugatable bisphosphonates for molecular imaging of large animals.

Authors:  Kumar R Bhushan; Eiichi Tanaka; John V Frangioni
Journal:  Angew Chem Int Ed Engl       Date:  2007       Impact factor: 15.336

3.  Breast Tumor Microcalcification Induced by Bone Morphogenetic Protein-2: A New Murine Model for Human Breast Tumor Diagnosis.

Authors:  Asghar Hajibeigi; Khaled Nasr; Durga Udayakumar; Kien Nham; Robert E Lenkinski
Journal:  Contrast Media Mol Imaging       Date:  2018-11-11       Impact factor: 3.161

  3 in total

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