Literature DB >> 11222214

Medical audit of diagnostic mammography examinations: comparison with screening outcomes obtained concurrently.

K E Dee1, E A Sickles.   

Abstract

OBJECTIVE: We performed a medical audit of our diagnostic mammography practice and compared clinical outcomes with those of screening mammography examinations performed concurrently.
MATERIALS AND METHODS: We analyzed 46,857 consecutive mammography examinations (10,007 diagnostic, 36,850 screening) from 1997 to 2000, including data on demographics, image interpretation, and biopsy (including size, nodal status, and cancer stage).
RESULTS: The mean age at diagnostic mammography was 55.8 years (mean age at screening mammogram, 59.1 years; p < 0.0001). Among patients who underwent diagnostic examinations, 14.7% had a strong or very strong family history of breast cancer (screening, 11.6%; p < 0.0001). Examination findings were interpreted as abnormal in 14.4% (screening, 5.2%; p < 0.0001). Biopsy was performed in 11.9% (screening, 1.4%; p < 0.0001). Forty-six percent of the biopsies were positive for malignancy (screening, 38%; p < 0.0001). The cancer detection rate was 55 per 1000 (screening, 5/1000; p < 0.0001). Of cancers found, 74.4% were stage 0 or I (screening, 89.3%; p < 0.0001), average size was 18.0 mm (screening, 12.9 mm; p < 0.0001), and axillary nodes were positive for malignancy in 19.9% of invasive cancers (screening, 6.3; p < 0.0001). Differences between diagnostic and screening outcomes were attributable predominantly to the subgroup of diagnostic examinations performed for evaluation of palpable masses.
CONCLUSION: Medical auditing of diagnostic mammography examinations yields substantially different results compared with those of screening examinations, including different patient demographics; higher number of positive biopsies; higher cancer detection rates; and larger, more advanced-stage cancers. Diagnostic and screening data should be segregated during auditing, or if this is not possible, analysis of combined results should be based on known differences between diagnostic and screening outcomes.

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Year:  2001        PMID: 11222214     DOI: 10.2214/ajr.176.3.1760729

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

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Authors:  Harmine M Zonderland; Thomas L Pope; Arend J Nieborg
Journal:  Eur Radiol       Date:  2004-07-09       Impact factor: 5.315

2.  Mammography in symptomatic women attending a rapid diagnosis breast clinic: a prospective study.

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Journal:  Ann R Coll Surg Engl       Date:  2006-05       Impact factor: 1.891

3.  Breast MRI BI-RADS assessments and abnormal interpretation rates by clinical indication in US community practices.

Authors:  Christoph I Lee; Laura Ichikawa; Michele C Rochelle; Karla Kerlikowske; Diana L Miglioretti; Brian L Sprague; Wendy B DeMartini; Karen J Wernli; Bonnie N Joe; Bonnie C Yankaskas; Constance D Lehman
Journal:  Acad Radiol       Date:  2014-08-07       Impact factor: 3.173

4.  Surgical mammography reporting in a limited resource environment.

Authors:  John P Mouton; Justus Apffelstaedt; Karin Baatjes
Journal:  World J Surg       Date:  2010-11       Impact factor: 3.352

5.  National Performance Benchmarks for Modern Diagnostic Digital Mammography: Update from the Breast Cancer Surveillance Consortium.

Authors:  Brian L Sprague; Robert F Arao; Diana L Miglioretti; Louise M Henderson; Diana S M Buist; Tracy Onega; Garth H Rauscher; Janie M Lee; Anna N A Tosteson; Karla Kerlikowske; Constance D Lehman
Journal:  Radiology       Date:  2017-02-28       Impact factor: 11.105

6.  Diagnostic mammography: identifying minimally acceptable interpretive performance criteria.

Authors:  Patricia A Carney; Jay Parikh; Edward A Sickles; Stephen A Feig; Barbara Monsees; Lawrence W Bassett; Robert A Smith; Robert Rosenberg; Laura Ichikawa; James Wallace; Khai Tran; Diana L Miglioretti
Journal:  Radiology       Date:  2013-01-07       Impact factor: 11.105

7.  Do mammographic technologists affect radiologists' diagnostic mammography interpretative performance?

Authors:  Louise M Henderson; Thad Benefield; J Michael Bowling; Danielle D Durham; Mary W Marsh; Bruce F Schroeder; Bonnie C Yankaskas
Journal:  AJR Am J Roentgenol       Date:  2015-04       Impact factor: 3.959

8.  Performance of hand-held whole-breast ultrasound based on BI-RADS in women with mammographically negative dense breast.

Authors:  Ji Hyun Youk; Eun-Kyung Kim; Min Jung Kim; Jin Young Kwak; Eun Ju Son
Journal:  Eur Radiol       Date:  2010-09-19       Impact factor: 5.315

9.  Variability of interpretive accuracy among diagnostic mammography facilities.

Authors:  Sara L Jackson; Stephen H Taplin; Edward A Sickles; Linn Abraham; William E Barlow; Patricia A Carney; Berta Geller; Eric A Berns; Gary R Cutter; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2009-05-26       Impact factor: 13.506

10.  Breast cancer mammographic diagnosis performance in a public health institution: a retrospective cohort study.

Authors:  Juliana M R B Mello; Fernando P Bittelbrunn; Marcio A B C Rockenbach; Guilherme G May; Leonardo M Vedolin; Marilia S Kruger; Matheus D Soldatelli; Guilherme Zwetsch; Gabriel T F de Miranda; Saone I P Teixeira; Bruna S Arruda
Journal:  Insights Imaging       Date:  2017-10-04
  10 in total

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