Literature DB >> 16950700

Impact of the number of readers on mammography interpretation.

K Hukkinen1, L Kivisaari, T Vehmas.   

Abstract

PURPOSE: To evaluate the impact of the number of readers on sensitivity and specificity, and compare it with conference consensus reading.
MATERIAL AND METHODS: Eight readers read mammography films of 200 women (including 35 false-negative and 16 screen-detected cancers). The sensitivities and specificities of the two methods were calculated: either at least a single cancer-positive opinion within the group (summarized independent reading) or the cancer-positive opinion of the reader majority (conference consensus reading) was considered decisive.
RESULTS: The mean sensitivity for summarized independent readings of different groups was 64.7% as compared to the 43.1% mean sensitivity of conference consensus readings. The mean specificities were 92.4% and 97.7%, respectively. The greatest sensitivity of 74.5% was achieved when the readings of the four best-performing readers were combined.
CONCLUSION: The sensitivity of reading is maximal when any positive opinion within a pair or a group of readers is taken into consideration. Discordant double reading may best be judged as screening positive, and the value of a third opinion should be questioned.

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Year:  2006        PMID: 16950700     DOI: 10.1080/02841850600803842

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  3 in total

1.  Establishing a gold standard for test sets: variation in interpretive agreement of expert mammographers.

Authors:  Tracy Onega; Melissa L Anderson; Diana L Miglioretti; Diana S M Buist; Berta Geller; Andy Bogart; Robert A Smith; Edward A Sickles; Barbara Monsees; Lawrence Bassett; Patricia A Carney; Karla Kerlikowske; Bonnie C Yankaskas
Journal:  Acad Radiol       Date:  2013-06       Impact factor: 3.173

2.  Making AI Even Smarter Using Ensembles: A Challenge to Future Challenges and Implications for Clinical Care.

Authors:  Eliot L Siegel
Journal:  Radiol Artif Intell       Date:  2019-11-20

3.  Testing and improving the acceptability of a web-based platform for collective intelligence to improve diagnostic accuracy in primary care clinics.

Authors:  Valy Fontil; Kate Radcliffe; Helena C Lyson; Neda Ratanawongsa; Courtney Lyles; Delphine Tuot; Kaeli Yuen; Urmimala Sarkar
Journal:  JAMIA Open       Date:  2019-02-01
  3 in total

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