Affiliations
AffiliationItem in Clipboard
Identifying minimally acceptable interpretive performance criteria for screening mammographyPatricia A Carney et al. Radiology. 2010 May.
. 2010 May;255(2):354-61. doi: 10.1148/radiol.10091636. Authors Patricia A Carney 1 , Edward A Sickles, Barbara S Monsees, Lawrence W Bassett, R James Brenner, Stephen A Feig, Robert A Smith, Robert D Rosenberg, T Andrew Bogart, Sally Browning, Jane W Barry, Mary M Kelly, Khai A Tran, Diana L Miglioretti AffiliationItem in Clipboard
AbstractPurpose: To develop criteria to identify thresholds for minimally acceptable physician performance in interpreting screening mammography studies and to profile the impact that implementing these criteria may have on the practice of radiology in the United States.
Materials and methods: In an institutional review board-approved, HIPAA-compliant study, an Angoff approach was used in two phases to set criteria for identifying minimally acceptable interpretive performance at screening mammography as measured by sensitivity, specificity, recall rate, positive predictive value (PPV) of recall (PPV(1)) and of biopsy recommendation (PPV(2)), and cancer detection rate. Performance measures were considered separately. In phase I, a group of 10 expert radiologists considered a hypothetical pool of 100 interpreting physicians and conveyed their cut points of minimally acceptable performance. The experts were informed that a physician's performance falling outside the cut points would result in a recommendation to consider additional training. During each round of scoring, all expert radiologists' cut points were summarized into a mean, median, mode, and range; these were presented back to the group. In phase II, normative data on performance were shown to illustrate the potential impact cut points would have on radiology practice. Rescoring was done until consensus among experts was achieved. Simulation methods were used to estimate the potential impact of performance that improved to acceptable levels if effective additional training was provided.
Results: Final cut points to identify low performance were as follows: sensitivity less than 75%, specificity less than 88% or greater than 95%, recall rate less than 5% or greater than 12%, PPV(1) less than 3% or greater than 8%, PPV(2) less than 20% or greater than 40%, and cancer detection rate less than 2.5 per 1000 interpretations. The selected cut points for performance measures would likely result in 18%-28% of interpreting physicians being considered for additional training on the basis of sensitivity and cancer detection rate, while the cut points for specificity, recall, and PPV(1) and PPV(2) would likely affect 34%-49% of practicing interpreters. If underperforming physicians moved into the acceptable range, detection of an additional 14 cancers per 100000 women screened and a reduction in the number of false-positive examinations by 880 per 100000 women screened would be expected.
Conclusion: This study identified minimally acceptable performance levels for interpreters of screening mammography studies. Interpreting physicians whose performance falls outside the identified cut points should be reviewed in the context of their specific practice settings and be considered for additional training.
Comment inDoyle GP, Onysko J, Pogany L, Major D, Caines J, Shumak R, Wadden N, Carney PA, Sickles EA, Monsees BS, Bassett LW, Miglioretti DL. Doyle GP, et al. Radiology. 2011 Mar;258(3):960-1. doi: 10.1148/radiol.101735. Radiology. 2011. PMID: 21339358 Free PMC article. No abstract available.
Carney PA, Parikh J, Sickles EA, Feig SA, Monsees B, Bassett LW, Smith RA, Rosenberg R, Ichikawa L, Wallace J, Tran K, Miglioretti DL. Carney PA, et al. Radiology. 2013 May;267(2):359-67. doi: 10.1148/radiol.12121216. Epub 2013 Jan 7. Radiology. 2013. PMID: 23297329 Free PMC article.
Miglioretti DL, Ichikawa L, Smith RA, Bassett LW, Feig SA, Monsees B, Parikh JR, Rosenberg RD, Sickles EA, Carney PA. Miglioretti DL, et al. AJR Am J Roentgenol. 2015 Apr;204(4):W486-91. doi: 10.2214/AJR.13.12313. AJR Am J Roentgenol. 2015. PMID: 25794100 Free PMC article.
Elmore JG, Jackson SL, Abraham L, Miglioretti DL, Carney PA, Geller BM, Yankaskas BC, Kerlikowske K, Onega T, Rosenberg RD, Sickles EA, Buist DS. Elmore JG, et al. Radiology. 2009 Dec;253(3):641-51. doi: 10.1148/radiol.2533082308. Epub 2009 Oct 28. Radiology. 2009. PMID: 19864507 Free PMC article.
Feig SA. Feig SA. Radiol Clin North Am. 2007 Sep;45(5):791-800, vi. doi: 10.1016/j.rcl.2007.07.001. Radiol Clin North Am. 2007. PMID: 17888769 Review.
Carney PA, Parikh J, Sickles EA, Feig SA, Monsees B, Bassett LW, Smith RA, Rosenberg R, Ichikawa L, Wallace J, Tran K, Miglioretti DL. Carney PA, et al. Radiology. 2013 May;267(2):359-67. doi: 10.1148/radiol.12121216. Epub 2013 Jan 7. Radiology. 2013. PMID: 23297329 Free PMC article.
Solla Negrao EM, Cabello C, Conz L, Mauad EC, Zeferino LC, Vale DB. Solla Negrao EM, et al. J Med Screen. 2023 Mar;30(1):42-46. doi: 10.1177/09691413221122055. Epub 2022 Sep 7. J Med Screen. 2023. PMID: 36071628 Free PMC article.
Strigel RM, Rollenhagen J, Burnside ES, Elezaby M, Fowler AM, Kelcz F, Salkowski L, DeMartini WB. Strigel RM, et al. Acad Radiol. 2017 Apr;24(4):411-417. doi: 10.1016/j.acra.2016.10.014. Epub 2016 Dec 13. Acad Radiol. 2017. PMID: 27986508 Free PMC article.
Ramírez-Galván YA, Cardona-Huerta S, Elizondo-Riojas G, Montemayor-Martínez A, Morales-Escajeda JI, Herrera-Peña CE. Ramírez-Galván YA, et al. Ecancermedicalscience. 2021 Jul 28;15:1272. doi: 10.3332/ecancer.2021.1272. eCollection 2021. Ecancermedicalscience. 2021. PMID: 34567257 Free PMC article.
Miglioretti DL, Ichikawa L, Smith RA, Bassett LW, Feig SA, Monsees B, Parikh JR, Rosenberg RD, Sickles EA, Carney PA. Miglioretti DL, et al. AJR Am J Roentgenol. 2015 Apr;204(4):W486-91. doi: 10.2214/AJR.13.12313. AJR Am J Roentgenol. 2015. PMID: 25794100 Free PMC article.
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