Literature DB >> 11906848

Screening mammography: clinical image quality and the risk of interval breast cancer.

Stephen H Taplin1, Carolyn M Rutter, Charles Finder, Margaret T Mandelson, Florence Houn, Emily White.   

Abstract

OBJECTIVE: We evaluated the association between clinical image quality and breast cancer occurrence within 24 months of a negative mammogram.
MATERIALS AND METHODS: We identified women with breast cancer who were younger than 40 years old and older and screened from January 1, 1988, through December 31, 1993. We retrospectively assigned Breast Imaging Reporting and Data System (BI-RADS) assessments to their screening mammogram. We classified cancers (invasive or ductal in situ) as "screen-detected" when found after positive assessments (BI-RADS codes 3, 4, and 5) and "interval-detected" when found after negative assessments (BI-RADS codes 1 and 2). One reviewer evaluated mediolateral oblique and craniocaudal views for all cancer cases using a 3-point scale (failure, borderline, pass) for each measure of clinical image quality (positioning, breast compression, contrast, exposure, noise, sharpness, artifacts, overall quality). We used separate logistic regression models and evaluated the odds of interval invasive cancer or invasive plus in situ cancer as a function of each measure of quality using "pass" as the referent group.
RESULTS: We found 492 screen-detected and 164 interval-detected cancers that met study criteria. Cancer detection (sensitivity) was highest (84%) among patients with proper breast positioning, but when images failed this measure (33.4%), sensitivity fell to 66.3%. After adjustment for age, film date, and breast density, interval-detected invasive cancers were more likely after images failing positioning (odds ratio, 2.57; 95% confidence interval, 1.28-5.52%). Failures in overall quality were also associated with interval cancers when cases of ductal carcinoma in situ (p = 0.037) were included.
CONCLUSION: Invasive breast cancer detection by mammography may be improved through attention to correct positioning.

Entities:  

Mesh:

Year:  2002        PMID: 11906848     DOI: 10.2214/ajr.178.4.1780797

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


  19 in total

1.  High-volume teleradiology service: focus on radiologist satisfaction.

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2.  Community-based mammography practice: services, charges, and interpretation methods.

Authors:  R Edward Hendrick; Gary R Cutter; Eric A Berns; Connie Nakano; Joseph Egger; Patricia A Carney; Linn Abraham; Stephen H Taplin; Carl J D'Orsi; William Barlow; Joann G Elmore
Journal:  AJR Am J Roentgenol       Date:  2005-02       Impact factor: 3.959

3.  What is the minimum amount of simulated breast movement required for visual detection of blurring? An exploratory investigation.

Authors:  W K Ma; R Aspin; J Kelly; S Millington; P Hogg
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4.  How Many of the Biopsy Decisions Taken at Inexperienced Breast Radiology Units Were Correct?

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5.  Computer-Assisted Diagnosis System for Breast Cancer in Computed Tomography Laser Mammography (CTLM).

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Review 6.  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

7.  Discovery of breast cancers within 1 year of a normal screening mammogram: how are they found?

Authors:  Patricia A Carney; Elizabeth Steiner; Martha E Goodrich; Allen J Dietrich; Claudia J Kasales; Julia E Weiss; Todd MacKenzie
Journal:  Ann Fam Med       Date:  2006 Nov-Dec       Impact factor: 5.166

8.  Medicolegal implications of accuracy of GP referral letters to specialist breast clinic.

Authors:  A Ahmed; A Marginan; K Sweeney; C Malone; R McLaughlin; M Kerin
Journal:  Ir J Med Sci       Date:  2014-11-25       Impact factor: 1.568

9.  Characterizing the Mammography Technologist Workforce in North Carolina.

Authors:  Louise M Henderson; Mary W Marsh; Thad Benefield; Elizabeth Pearsall; Danielle Durham; Bruce F Schroeder; J Michael Bowling; Cheryl A Viglione; Bonnie C Yankaskas
Journal:  J Am Coll Radiol       Date:  2015-12       Impact factor: 5.532

10.  The association between obesity and screening mammography accuracy.

Authors:  Joann G Elmore; Patricia A Carney; Linn A Abraham; William E Barlow; Joseph R Egger; Jessica S Fosse; Gary R Cutter; R Edward Hendrick; Carl J D'Orsi; Prashni Paliwal; Stephen H Taplin
Journal:  Arch Intern Med       Date:  2004-05-24
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