Literature DB >> 11110951

Mammography in 53,803 women from the New Hampshire mammography network.

S P Poplack1, A N Tosteson, M R Grove, W A Wells, P A Carney.   

Abstract

PURPOSE: To describe measures of mammography performance in a geographically defined population and evaluate the interpreter's use of the Breast Imaging Reporting and Data System (BI-RADS).
MATERIALS AND METHODS: Mammographic data from 47,651 screening and 6,152 diagnostic examinations from November 1, 1996, to October 31, 1997, were linked to 1,572 pathologic results. Mammographic outcomes were based on BI-RADS assessments and recommendations reported by the interpreting radiologist. The consistency of BI-RADS recommendations was evaluated.
RESULTS: Screening mammography had a sensitivity of 72.4% (95% CI: 66.4%, 78.4%), specificity of 97.3% (95% CI: 97.25%, 97.4%), and positive predictive value of 10.6% (95% CI: 9.1%, 12.2%). Diagnostic mammography had higher sensitivity, 78.1% (95% CI: 71.9%, 84.3%); lower specificity, 89.3% (95% CI: 88.5%, 90.1%); and better positive predictive value, 17.1% (95% CI: 14.5%, 19.8%). The cancer detection rate with screening mammography was 3.3 per 1,000 women, with a biopsy yield of 22.4%, whereas the interval cancer rate was 1. 2 per 1,000. Nearly 80% of screening-detected invasive malignancies were node negative. The recall rate for screening mammography was 8. 3%. Ultrasonography was used in 3.5% of screening and 17.5% of diagnostic examinations. BI-RADS recommendations were generally consistent, except for probably benign assessments.
CONCLUSION: The sensitivity of screening mammography in this population-based sample is lower than expected, although other performance indicators are commendable. BI-RADS "probably benign" assessments are commonly misused.

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Mesh:

Year:  2000        PMID: 11110951     DOI: 10.1148/radiology.217.3.r00dc33832

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


  36 in total

1.  Breast cancer screening: can we talk?

Authors:  R G Miller
Journal:  J Gen Intern Med       Date:  2001-03       Impact factor: 5.128

2.  US-guided diffuse optical tomography for breast lesions: the reliability of clinical experience.

Authors:  Min Jung Kim; Ji Youn Kim; Jung Hyun Youn; Myung Hyun Kim; Hye Ryoung Koo; Soo Jin Kim; Yu-Mee Sohn; Hee Jung Moon; Eun-Kyung Kim
Journal:  Eur Radiol       Date:  2011-01-28       Impact factor: 5.315

3.  Diagnostic performance of a Near-Infrared Breast Imaging system as adjunct to mammography versus X-ray mammography alone.

Authors:  F Collettini; J C Martin; F Diekmann; E Fallenberg; F Engelken; S Ponder; T J Kroencke; B Hamm; A Poellinger
Journal:  Eur Radiol       Date:  2011-09-27       Impact factor: 5.315

4.  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

Review 5.  CAD for mammography: the technique, results, current role and further developments.

Authors:  Ansgar Malich; Dorothee R Fischer; Joachim Böttcher
Journal:  Eur Radiol       Date:  2006-01-17       Impact factor: 5.315

6.  Initial clinical experience with microwave breast imaging in women with normal mammography.

Authors:  Paul M Meaney; Margaret W Fanning; Timothy Raynolds; Colleen J Fox; Qianqian Fang; Christine A Kogel; Steven P Poplack; Keith D Paulsen
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

7.  Bias in estimating accuracy of a binary screening test with differential disease verification.

Authors:  Todd A Alonzo; John T Brinton; Brandy M Ringham; Deborah H Glueck
Journal:  Stat Med       Date:  2011-04-15       Impact factor: 2.373

8.  Contrast-enhanced ultrasound improved performance of breast imaging reporting and data system evaluation of critical breast lesions.

Authors:  Jun Luo; Ji-Dong Chen; Qing Chen; Lin-Xian Yue; Guo Zhou; Cheng Lan; Yi Li; Chi-Hua Wu; Jing-Qiao Lu
Journal:  World J Radiol       Date:  2016-06-28

9.  False-positive mammography and depressed mood in a screening population: findings from the New Hampshire Mammography Network.

Authors:  C J Gibson; J Weiss; M Goodrich; T Onega
Journal:  J Public Health (Oxf)       Date:  2009-07-02       Impact factor: 2.341

10.  Breast cancer risk prediction and mammography biopsy decisions: a model-based study.

Authors:  Katrina Armstrong; Elizabeth A Handorf; Jinbo Chen; Mirar N Bristol Demeter
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

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