Literature DB >> 12355001

Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations.

Thomas M Kolb1, Jacob Lichy, Jeffrey H Newhouse.   

Abstract

PURPOSE: To (a) determine the performance of screening mammography, ultrasonography (US), and physical examination (PE); (b) analyze the influence of age, hormonal status, and breast density; (c) compare the size and stage of tumors detected with each modality; and (d) determine which modality or combination of modalities optimize cancer detection.
MATERIALS AND METHODS: A total of 11,130 asymptomatic women underwent 27,825 screening sessions, (mammography and subsequent PE). Women with dense breasts subsequently underwent screening US. Abnormalities were deemed positive if biopsy findings revealed malignancy and negative if findings from biopsy or all screening examinations were negative.
RESULTS: In 221 women, 246 cancers were found. Sensitivity, specificity, negative and positive predictive values, and accuracy of mammography were 77.6%, 98.8%, 99.8%, 35.8%, and 98.6%, respectively; those of PE, 27.6%, 99.4%, 99.4%, 28.9%, and 98.8%, respectively; and those of US, 75.3%, 96.8%, 99.7%, 20.5%, and 96.6%, respectively. Screening breast US increased the number of women diagnosed with nonpalpable invasive cancers by 42% (30 of 71). Mammographic sensitivity declined significantly with increasing breast density (P <.01) (48% for the densest breasts) and in younger women with dense breasts (P =.02); the effects were independent. Mammography and US together had significantly higher sensitivity (97%) than did mammography and PE together (74%) (P <.001). Tumors detected at mammography and/or US were significantly smaller (P =.01) and of lower stage (P =.01) than those detected at PE.
CONCLUSION: Mammographic sensitivity for breast cancer declines significantly with increasing breast density and is independently higher in older women with dense breasts. Addition of screening US significantly increases detection of small cancers and depicts significantly more cancers and at smaller size and lower stage than does PE, which detects independently extremely few cancers. Hormonal status has no significant effect on effectiveness of screening independent of breast density.

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Mesh:

Year:  2002        PMID: 12355001     DOI: 10.1148/radiol.2251011667

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


  352 in total

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2.  Harmonic Motion Imaging (HMI) for Tumor Imaging and Treatment Monitoring.

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Journal:  Technol Cancer Res Treat       Date:  2004-08

4.  Investigating the limit of detectability of a positron emission mammography device: a phantom study.

Authors:  Nicholas A Shkumat; Adam Springer; Christopher M Walker; Eric M Rohren; Wei T Yang; Beatriz E Adrada; Elsa Arribas; Selin Carkaci; Hubert H Chuang; Lumarie Santiago; Osama R Mawlawi
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5.  Isolated adenocarcinoma of the nipple.

Authors:  M Ahmed; A Basit
Journal:  BMJ Case Rep       Date:  2011-07-27

6.  Dual-energy contrast-enhanced digital mammography: initial clinical results.

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7.  Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

Authors:  Anton S Becker; Michael Mueller; Elina Stoffel; Magda Marcon; Soleen Ghafoor; Andreas Boss
Journal:  Br J Radiol       Date:  2018-01-10       Impact factor: 3.039

8.  Earlier detection of breast cancer with ultrasound molecular imaging in a transgenic mouse model.

Authors:  Sunitha V Bachawal; Kristin C Jensen; Amelie M Lutz; Sanjiv S Gambhir; Francois Tranquart; Lu Tian; Jürgen K Willmann
Journal:  Cancer Res       Date:  2013-01-17       Impact factor: 12.701

Review 9.  Breast cancer imaging: a perspective for the next decade.

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

10.  High-resolution, low-dose phase contrast X-ray tomography for 3D diagnosis of human breast cancers.

Authors:  Yunzhe Zhao; Emmanuel Brun; Paola Coan; Zhifeng Huang; Aniko Sztrókay; Paul Claude Diemoz; Susanne Liebhardt; Alberto Mittone; Sergei Gasilov; Jianwei Miao; Alberto Bravin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

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