Literature DB >> 7734545

Clinical use of digital mammography: the present and the prospects.

R A Schmidt1, R M Nishikawa.   

Abstract

Digital mammography is likely to replace the current routine breast imaging technology in the future because it offers advantages that should lead to both improved image quality and interpretation. Hopefully, this will result in earlier detection in breast screening programs and decreased mortality from the most frequently diagnosed of all cancers after skin cancer, which is far less deadly. At present, digital mammography has a limited clinical role; in the United States, it has been used for several years to localize lesions for tissue sampling using small field of view digital detectors. Once whole breast digital detectors are available, it seems clear that applying computer techniques to enhance and analyze the collected digital data will become routine. Results reported over the last decade indicate that computer-aided diagnosis can improve radiologists' observational performance, and it is likely that computer techniques to routinely enhance the decision-making ability of the average to below-average radiologist to the level of an expert will be developed. There are obstacles to these advances, but the combination of realizable technological solutions and the importance of the breast cancer problem clinically should provide sufficient where-withal and impetus to make digital mammography a clinical reality.

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Mesh:

Year:  1995        PMID: 7734545     DOI: 10.1007/bf03168072

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  21 in total

1.  Quality assurance. How to audit your own mammography practice.

Authors:  E A Sickles
Journal:  Radiol Clin North Am       Date:  1992-01       Impact factor: 2.303

2.  Enhanced interpretation of diagnostic images.

Authors:  D J Getty; R M Pickett; C J D'Orsi; J A Swets
Journal:  Invest Radiol       Date:  1988-04       Impact factor: 6.016

3.  A clinical comparison between conventional and digital mammography utilizing computed radiography.

Authors:  D S Brettle; S C Ward; G J Parkin; A R Cowen; H J Sumsion
Journal:  Br J Radiol       Date:  1994-05       Impact factor: 3.039

4.  Enhanced image mammography.

Authors:  M B McSweeney; P Sprawls; R L Egan
Journal:  AJR Am J Roentgenol       Date:  1983-01       Impact factor: 3.959

5.  Computed radiography utilizing scanning laser stimulated luminescence.

Authors:  M Sonoda; M Takano; J Miyahara; H Kato
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

6.  Use of digital mammography in needle localization procedures.

Authors:  D D Dershaw; R C Fleischman; L Liberman; B Deutch; A F Abramson; L Hann
Journal:  AJR Am J Roentgenol       Date:  1993-09       Impact factor: 3.959

7.  Computer-aided mammographic screening for spiculated lesions.

Authors:  W P Kegelmeyer; J M Pruneda; P D Bourland; A Hillis; M W Riggs; M L Nipper
Journal:  Radiology       Date:  1994-05       Impact factor: 11.105

8.  Application of expert systems to mammographic image analysis.

Authors:  H M Cook; M D Fox
Journal:  Am J Physiol Imaging       Date:  1989

Review 9.  Decreased breast cancer mortality through mammographic screening: results of clinical trials.

Authors:  S A Feig
Journal:  Radiology       Date:  1988-06       Impact factor: 11.105

10.  Analysis of cancers missed at screening mammography.

Authors:  R E Bird; T W Wallace; B C Yankaskas
Journal:  Radiology       Date:  1992-09       Impact factor: 11.105

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  1 in total

1.  Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.

Authors:  E D Pisano; S Zong; B M Hemminger; M DeLuca; R E Johnston; K Muller; M P Braeuning; S M Pizer
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

  1 in total

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