Literature DB >> 22000816

Use of clinical history affects accuracy of interpretive performance of screening mammography.

Patricia A Carney1, Andrea J Cook, Diana L Miglioretti, Stephen A Feig, Erin Aiello Bowles, Berta M Geller, Karla Kerlikowske, Mark Kettler, Tracy Onega, Joann G Elmore.   

Abstract

OBJECTIVE: To examine how use of clinical history affects radiologist's interpretation of screening mammography. STUDY DESIGN AND
SETTING: Using a self-administered survey and actual interpretive performance, we examined associations between use of clinical history and sensitivity, false-positive rate, recall rate, and positive predictive value, after adjusting for relevant covariates using conditional logistic regression.
RESULTS: Of the 216 radiologists surveyed (63.4%), most radiologists reported usually or always using clinical history when interpreting screening mammography. Compared with radiologists who rarely use clinical history, radiologists who usually or always use it had a higher false-positive rate with younger women (10.7 vs. 9.7), denser breast tissue (10.1 for heterogeneously dense to 10.9 for extremely dense vs. 8.9 for fatty tissue), or longer screening intervals (> prior 5 years) (12.5 vs. 10.5). Effect of current hormone therapy (HT) use on false-positive rate was weaker among radiologists who use clinical history compared with those who did not (P=0.01), resulting in fewer false-positive examinations and a nonsignificant lower sensitivity (79.2 vs. 85.2) among HT users.
CONCLUSION: Interpretive performance appears to be influenced by patient age, breast density, screening interval, and HT use. This influence does not always result in improved interpretive performance.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22000816      PMCID: PMC3253253          DOI: 10.1016/j.jclinepi.2011.06.010

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  29 in total

1.  Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories.

Authors:  S Ciatto; N Houssami; A Apruzzese; E Bassetti; B Brancato; F Carozzi; S Catarzi; M P Lamberini; G Marcelli; R Pellizzoni; B Pesce; G Risso; F Russo; A Scorsolini
Journal:  Breast       Date:  2005-08       Impact factor: 4.380

2.  An assessment of the influence of clinical breast examination reports on the interpretation of mammograms in a breast screening program. Ontario Breast Screening Program Radiologists Research Group.

Authors:  J A Knight; A R Libstug; V Moravan; N F Boyd
Journal:  Breast Cancer Res Treat       Date:  1998-03       Impact factor: 4.872

3.  The impact of clinical history on mammographic interpretations.

Authors:  J G Elmore; C K Wells; D H Howard; A R Feinstein
Journal:  JAMA       Date:  1997-01-01       Impact factor: 56.272

4.  Multiplicity of benign breast lesions is a risk factor for progression to breast cancer.

Authors:  Maria J Worsham; Usha Raju; Mei Lu; Alissa Kapke; Jingfang Cheng; Sandra R Wolman
Journal:  Clin Cancer Res       Date:  2007-09-15       Impact factor: 12.531

5.  Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System.

Authors:  K Kerlikowske; D Grady; J Barclay; S D Frankel; S H Ominsky; E A Sickles; V Ernster
Journal:  J Natl Cancer Inst       Date:  1998-12-02       Impact factor: 13.506

6.  Use of the American College of Radiology BI-RADS guidelines by community radiologists: concordance of assessments and recommendations assigned to screening mammograms.

Authors:  Constance Lehman; Sarah Holt; Susan Peacock; Emily White; Nicole Urban
Journal:  AJR Am J Roentgenol       Date:  2002-07       Impact factor: 3.959

7.  Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy.

Authors:  Joann G Elmore; Sara L Jackson; Linn Abraham; Diana L Miglioretti; Patricia A Carney; Berta M Geller; Bonnie C Yankaskas; Karla Kerlikowske; Tracy Onega; Robert D Rosenberg; Edward A Sickles; Diana S M Buist
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

8.  Secular stability and reliability of measurements of the percentage of dense tissue on mammograms.

Authors:  Jacques Benichou; Celia Byrne; Laura A Capece; Leslie E Carroll; Kathy Hurt-Mullen; David Y Pee; Martine Salane; Catherine Schairer; Mitchell H Gail
Journal:  Cancer Detect Prev       Date:  2003

9.  Accuracy of short-interval follow-up mammograms by patient and radiologist characteristics.

Authors:  Erin J Aiello Bowles; Diana L Miglioretti; Edward A Sickles; Linn Abraham; Patricia A Carney; Bonnie C Yankaskas; Joann G Elmore
Journal:  AJR Am J Roentgenol       Date:  2008-05       Impact factor: 3.959

10.  Reactions to uncertainty and the accuracy of diagnostic mammography.

Authors:  Patricia A Carney; Joyce P Yi; Linn A Abraham; Diana L Miglioretti; Erin J Aiello; Martha S Gerrity; Lisa Reisch; Eric A Berns; Edward A Sickles; Joann G Elmore
Journal:  J Gen Intern Med       Date:  2007-02       Impact factor: 5.128

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  3 in total

1.  The influence of mammographic technologists on radiologists' ability to interpret screening mammograms in community practice.

Authors:  Louise M Henderson; Thad Benefield; Mary W Marsh; Bruce F Schroeder; Danielle D Durham; Bonnie C Yankaskas; J Michael Bowling
Journal:  Acad Radiol       Date:  2014-11-27       Impact factor: 3.173

2.  Gadolinium-based Contrast Agents Improve Detection of Recurrent Soft-Tissue Sarcoma at MRI.

Authors:  Behrang Amini; William A Murphy; Tamara Miner Haygood; Rajendra Kumar; Kevin W McEnery; John E Madewell; Bilal M Mujtaba; Wei Wei; Colleen M Costelloe
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

3.  Great expectations: minor differences in initial instructions have a major impact on visual search in the absence of feedback.

Authors:  Patrick H Cox; Dwight J Kravitz; Stephen R Mitroff
Journal:  Cogn Res Princ Implic       Date:  2021-03-19
  3 in total

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