Literature DB >> 10796940

Standardized abnormal interpretation and cancer detection ratios to assess reading volume and reader performance in a breast screening program.

L Kan1, I A Olivotto, L J Warren Burhenne, E A Sickles, A J Coldman.   

Abstract

PURPOSE: To determine the relationship between annual screening volume and radiologist performance in the Screening Mammography Program of British Columbia, Canada.
MATERIALS AND METHODS: Standardized abnormal interpretation ratios and standardized cancer detection ratios were constructed for 35 readers with at least 3 years of experience with the Screening Mammography Program of British Columbia. The ratios were used to compare individual reader performance with the mean program performance after adjustment for the age and screening history (first versus subsequent screening examinations) of the women who underwent screening.
RESULTS: The mean standardized abnormal interpretation ratio was better for readers of 2,000-2,999 (n = 8) and 3,000-3,999 (n = 9) screening mammograms per year than for those of less than 2,000 (n = 9) and 4, 000-5,199 (n = 9) screening mammograms per year. Differences in the mean standardized abnormal interpretation ratios were significant (P <.05) between the readers of less than 2,000 and of 2,000-2,999 screening mammograms per year, between readers of less than 2,000 and of 3,000-3,999 screening mammograms per year and between readers of 3,000-3,999 and of 4,000-5,199 screening mammograms per year. The mean standardized cancer detection ratio improved gradually with increasing annual volume, but the differences between groups were not statistically significant. Five of the eight readers of 2,000-2, 999 mammograms were reading 2,475 or more screening mammograms per year.
CONCLUSION: Standardized abnormal interpretation ratios and standardized cancer detection ratios provide a method of comparing two important performance measures in a screening program. A minimum of 2,500 interpretations per year is associated with lower abnormal interpretation rates and average or better cancer detection rates.

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Year:  2000        PMID: 10796940     DOI: 10.1148/radiology.215.2.r00ma42563

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


  24 in total

1.  Improving the time to diagnosis after an abnormal screening mammogram.

Authors:  I A Olivotto; M J Borugian; L Kan; S R Harris; E J Rousseau; S E Thorne; J A Vestrup; C J Wright; A J Coldman; T G Hislop
Journal:  Can J Public Health       Date:  2001 Sep-Oct

2.  CT colonography: effect of experience and training on reader performance.

Authors:  Stuart A Taylor; Steve Halligan; David Burling; Simon Morley; Paul Bassett; Wendy Atkin; Clive I Bartram
Journal:  Eur Radiol       Date:  2004-02-10       Impact factor: 5.315

3.  Computer-aided classification of breast masses: performance and interobserver variability of expert radiologists versus residents.

Authors:  Swatee Singh; Jeff Maxwell; Jay A Baker; Jennifer L Nicholas; Joseph Y Lo
Journal:  Radiology       Date:  2010-10-22       Impact factor: 11.105

4.  Breast cancer screening, diagnostic accuracy and health care policies.

Authors:  Jean-Luc Urbain
Journal:  CMAJ       Date:  2005-01-18       Impact factor: 8.262

5.  Number of mammography cases read per year is a strong predictor of sensitivity.

Authors:  Wasfi I Suleiman; Sarah J Lewis; Dianne Georgian-Smith; Michael G Evanoff; Mark F McEntee
Journal:  J Med Imaging (Bellingham)       Date:  2014-05-07

6.  Effect of radiologist experience on the risk of false-positive results in breast cancer screening programs.

Authors:  Raquel Zubizarreta Alberdi; Ana B Fernández Llanes; Raquel Almazán Ortega; Rubén Roman Expósito; Jose M Velarde Collado; Teresa Queiro Verdes; Carmen Natal Ramos; María Ederra Sanz; Dolores Salas Trejo; Xavier Castells Oliveres
Journal:  Eur Radiol       Date:  2011-06-04       Impact factor: 5.315

7.  Lack of agreement between radiologists: implications for image-based model observers.

Authors:  Juhun Lee; Robert M Nishikawa; Ingrid Reiser; Margarita L Zuley; John M Boone
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-03

8.  Disparities in screening mammography services by race/ethnicity and health insurance.

Authors:  Garth H Rauscher; Kristi L Allgood; Steve Whitman; Emily Conant
Journal:  J Womens Health (Larchmt)       Date:  2011-09-23       Impact factor: 2.681

9.  Cumulative false positive recall rate and association with participant related factors in a population based breast cancer screening programme.

Authors:  Xavier Castells; Eduard Molins; Francesc Macià
Journal:  J Epidemiol Community Health       Date:  2006-04       Impact factor: 3.710

10.  Facilitated "fast track" referral reduces time from abnormal screening mammogram to diagnosis.

Authors:  Marilyn J Borugian; Lisa Kan; Christina C Y Chu; Kathy Ceballos; Karen A Gelmon; Paula B Gordon; Barbara Poole; Scott Tyldesley; Ivo A Olivotto
Journal:  Can J Public Health       Date:  2008 Jul-Aug
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