Literature DB >> 24598715

Radiologist interpretive volume and breast cancer screening accuracy in a Canadian organized screening program.

Isabelle Théberge1, Sue-Ling Chang, Nathalie Vandal, Jean-Marc Daigle, Marie-Hélène Guertin, Eric Pelletier, Jacques Brisson.   

Abstract

BACKGROUND: To strengthen evidence on which radiologist mammography interpretive volume requirements can be based, we assessed the relation of volume to accuracy in the Quebec Breast Cancer Screening Program.
METHODS: Annual interpretive volume (total, screening, and diagnostic) for all 340 radiologists who interpreted 1315327 screening examinations in the period from 2000 to 2006 was obtained using provincial databases. The association of volume to sensitivity, false-positive rate, and accuracy (sensitivity/false-positive rate) was assessed by multivariable Poisson regression with robust error variance. All statistical tests were two-sided.
RESULTS: Radiologists consistently interpreting less than 500 mammograms annually experienced a 58% reduction in accuracy (adjusted accuracy ratio = 0.42; 95% confidence interval [CI] = 0.24 to 0.74) compared with those who consistently interpreted at least 500 mammograms annually. Moreover, accuracy increased progressively as total annual volume increased (P trend = .0005). Radiologists interpreting at least 4000 mammograms annually experienced a 32% increase in accuracy (adjusted accuracy ratio = 1.32; 95% CI = 1.13 to 1.54) compared with those interpreting 500 to 999 mammograms annually. This increase in accuracy is attributable to a reduction in false-positive rate as total volume increased (P trend = .001). Sensitivity changed little with total volume (P trend = .68). Gains in accuracy were greater up to approximately 3000 mammograms interpreted annually.
CONCLUSIONS: The minimum annual volume of 500 mammograms required in North America is justified; radiologist accuracy may be compromised if interpretive volume is consistently less than this requirement. Raising interpretive volume may help to reduce the frequency of false positives without loss of sensitivity. Possible gains in accuracy may be greater with increases in volume of up to approximately 3000 mammograms interpreted annually.

Entities:  

Mesh:

Year:  2014        PMID: 24598715     DOI: 10.1093/jnci/djt461

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  8 in total

1.  Factors associated with breast screening radiologists' annual mammogram reading volume in Italy.

Authors:  Doralba Morrone; Livia Giordano; Franca Artuso; Daniela Bernardi; Chiara Fedato; Alfonso Frigerio; Daniela Giorgi; Carlo Naldoni; Gianni Saguatti; Daniela Severi; Mario Taffurelli; Daniela Terribile; Leonardo Ventura; Lauro Bucchi
Journal:  Radiol Med       Date:  2016-03-31       Impact factor: 3.469

2.  Factors Influencing the False Positive Rate in CT Lung Cancer Screening.

Authors:  Mark M Hammer; Suzanne C Byrne; Chung Yin Kong
Journal:  Acad Radiol       Date:  2020-09-03       Impact factor: 5.482

3.  A machine learning model based on readers' characteristics to predict their performances in reading screening mammograms.

Authors:  Ziba Gandomkar; Sarah J Lewis; Tong Li; Ernest U Ekpo; Patrick C Brennan
Journal:  Breast Cancer       Date:  2022-02-05       Impact factor: 3.307

4.  Non Invasive XRF Analysis of Human Hair for Health State Determination of Breast Tissue.

Authors:  Asghar Maziar; Daryoush Shahbazi-Gahrouei; Mohammad Bagher Tavakoli; Vahid Changizi
Journal:  Iran J Cancer Prev       Date:  2015-12-23

Review 5.  Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management.

Authors:  Pavol Zubor; Peter Kubatka; Karol Kajo; Zuzana Dankova; Hubert Polacek; Tibor Bielik; Erik Kudela; Marek Samec; Alena Liskova; Dominika Vlcakova; Tatiana Kulkovska; Igor Stastny; Veronika Holubekova; Jan Bujnak; Zuzana Laucekova; Dietrich Büsselberg; Mariusz Adamek; Walther Kuhn; Jan Danko; Olga Golubnitschaja
Journal:  Int J Mol Sci       Date:  2019-06-13       Impact factor: 5.923

6.  Importance of quality in breast cancer screening practice - a natural experiment in Alberta, Canada.

Authors:  Yan Yuan; Khanh Vu; Ye Shen; James Dickinson; Marcy Winget
Journal:  BMJ Open       Date:  2020-01-06       Impact factor: 2.692

7.  Circulating microRNA-based screening tool for breast cancer.

Authors:  Pierre Frères; Stéphane Wenric; Meriem Boukerroucha; Corinne Fasquelle; Jérôme Thiry; Nicolas Bovy; Ingrid Struman; Pierre Geurts; Joëlle Collignon; Hélène Schroeder; Frédéric Kridelka; Eric Lifrange; Véronique Jossa; Vincent Bours; Claire Josse; Guy Jerusalem
Journal:  Oncotarget       Date:  2016-02-02

8.  Cross-national comparison of screening mammography accuracy measures in U.S., Norway, and Spain.

Authors:  Laia Domingo; Solveig Hofvind; Rebecca A Hubbard; Marta Román; David Benkeser; Maria Sala; Xavier Castells
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.