Literature DB >> 10831687

Reasons for failure of a mammography unit at clinical image review in the American College of Radiology Mammography Accreditation Program.

L W Bassett1, D M Farria, S Bansal, M A Farquhar, P A Wilcox, S A Feig.   

Abstract

PURPOSE: To identify the most common deficiencies in the quality of mammograms submitted for clinical image evaluation (evaluation of image from actual patient referred for mammography).
MATERIALS AND METHODS: In 1997, the American College of Radiology Mammography Accreditation Program reviewed clinical images for 2,341 mammography units. For each mammography unit, the facility submitted bilateral mediolateral oblique and craniocaudal mammograms obtained in a woman with fatty breasts and a woman with dense breasts. Images were reviewed independently by two experienced radiologists. Reviewers listed the general categories and specific deficiencies that led to a decision to fail the unit that produced the clinical images.
RESULTS: Of the 2,341 mammography units, 1,034 (44%) failed the clinical image evaluation process. Of 6,128 categories cited by reviewers as deficient, 1,250 (20%) involved problems in positioning; 944 (15%), exposure; 887 (14%), compression; 806 (13%), sharpness; 785 (13%), contrast; 703 (11%), labeling; 465 (8%), artifacts; and 288 (5%), noise. A significantly higher proportion of failures was attributed to positioning deficiencies for fatty breasts than for dense breasts (P =.028). Higher proportions of failures in dense breasts were related to compression (P <.001) and exposure (P <.001) deficiencies.
CONCLUSION: Common problems in clinical image quality have been identified. This information should be useful for educators and facilities striving to improve the quality of mammography.

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Year:  2000        PMID: 10831687     DOI: 10.1148/radiology.215.3.r00jn32698

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

Review 1.  A review of mammographic positioning image quality criteria for the craniocaudal projection.

Authors:  Rhonda-Joy I Sweeney; Sarah J Lewis; Peter Hogg; Mark F McEntee
Journal:  Br J Radiol       Date:  2017-12-05       Impact factor: 3.039

2.  Comparison of Image Quality Criteria between Digital Storage Phosphor Plate in Mammography and Full-Field Digital Mammography in the Detection of Breast Cancer.

Authors:  Pushpa Thevi Rajendran; Vijayalakshmi Krishnapillai; Sulaiman Tamanang; Kanaga Kumari Chelliah
Journal:  Malays J Med Sci       Date:  2012-01

Review 3.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

4.  Dedicated screening mammography for diagnosis of small breast cancer.

Authors:  Boris Kirshtein; Pavel Crystal; Michael Koretz; Selwyn Strano
Journal:  World J Surg       Date:  2004-02-17       Impact factor: 3.352

5.  Mammogram image quality as a potential contributor to disparities in breast cancer stage at diagnosis: an observational study.

Authors:  Garth H Rauscher; Emily F Conant; Jenna A Khan; Michael L Berbaum
Journal:  BMC Cancer       Date:  2013-04-26       Impact factor: 4.430

6.  Automated Assessment of Breast Positioning Quality in Screening Mammography.

Authors:  Mouna Brahim; Kai Westerkamp; Louisa Hempel; Reiner Lehmann; Dirk Hempel; Patrick Philipp
Journal:  Cancers (Basel)       Date:  2022-09-27       Impact factor: 6.575

7.  Clinical image evaluation of film mammograms in Korea: comparison with the ACR standard.

Authors:  Yeon Joo Gwak; Hye Jung Kim; Jin Young Kwak; Eun Ju Son; Kyung Hee Ko; Jin Hwa Lee; Hyo Soon Lim; You Jin Lee; Ji Won Park; Kyung Min Shin; Yun-Jin Jang
Journal:  Korean J Radiol       Date:  2013-08-30       Impact factor: 3.500

Review 8.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26
  8 in total

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