Literature DB >> 8959178

Effect of human variability on independent double reading in screening mammography.

C A Beam1, D C Sullivan, P M Layde.   

Abstract

RATIONALE AND
OBJECTIVES: To demonstrate the range of gains and losses that radiologists might experience from independent double reading in screening mammography.
METHODS: From a national random sample of radiologists, the authors formed 131 pairs. For each radiologist, the authors analyzed the increase relative to his or her individual true-positive rate (TPR) or false-positive rate (FPR), number of additional cancers detected, and change to negative biopsy rate that would result from independent double reading after pairing.
RESULTS: The average radiologist can expect an 8%-14% gain in TPR and a 4%-10% increase in FPR with pairing. For some radiologists, double reading increased the TPR with a small concomitant increase in FPR. Other radiologists, however, realized small gains in TPR with large increases in FPR. Adding the reading from a more experienced radiologist did not necessarily improve the TPR of a radiologist with less experience.
CONCLUSION: Radiologists can form complementary and noncomplementary pairs for double reading. Use of this procedure must be decided on an individual basis.

Entities:  

Mesh:

Year:  1996        PMID: 8959178     DOI: 10.1016/s1076-6332(96)80296-0

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  10 in total

1.  Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms.

Authors:  Jun Ge; Lubomir M Hadjiiski; Berkman Sahiner; Jun Wei; Mark A Helvie; Chuan Zhou; Heang-Ping Chan
Journal:  Phys Med Biol       Date:  2007-01-23       Impact factor: 3.609

2.  Computer-aided detection systems for breast masses: comparison of performances on full-field digital mammograms and digitized screen-film mammograms.

Authors:  Jun Wei; Lubomir M Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Jun Ge; Marilyn A Roubidoux; Mark A Helvie; Chuan Zhou; Yi-Ta Wu; Chintana Paramagul; Yiheng Zhang
Journal:  Acad Radiol       Date:  2007-06       Impact factor: 3.173

3.  Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammography.

Authors:  R Tanaka; M Takamori; Y Uchiyama; R M Nishikawa; J Shiraishi
Journal:  Br J Radiol       Date:  2014-12-23       Impact factor: 3.039

4.  Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

Authors:  Karen Drukker; Karla J Horsch; Lorenzo L Pesce; Maryellen L Giger
Journal:  Acad Radiol       Date:  2013-04-17       Impact factor: 3.173

5.  Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial.

Authors:  Mark A Helvie; Lubomir Hadjiiski; Erini Makariou; Heang-Ping Chan; Nicholas Petrick; Berkman Sahiner; Shih-Chung B Lo; Matthew Freedman; Dorit Adler; Janet Bailey; Caroline Blane; Donna Hoff; Karen Hunt; Lynn Joynt; Katherine Klein; Chintana Paramagul; Stephanie K Patterson; Marilyn A Roubidoux
Journal:  Radiology       Date:  2004-02-27       Impact factor: 11.105

6.  Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.

Authors:  Alyssa T Watanabe; Vivian Lim; Hoanh X Vu; Richard Chim; Eric Weise; Jenna Liu; William G Bradley; Christopher E Comstock
Journal:  J Digit Imaging       Date:  2019-08       Impact factor: 4.056

7.  Inter-observer variability in mammography screening and effect of type and number of readers on screening outcome.

Authors:  L E M Duijm; M W J Louwman; J H Groenewoud; L V van de Poll-Franse; J Fracheboud; J W Coebergh
Journal:  Br J Cancer       Date:  2009-03-03       Impact factor: 7.640

8.  Performance of double reading mammography in an Iranian population and its effect on patient outcome.

Authors:  Maryam Moradi; Kobra Ganji; Niloufar Teyfouri; Farzaneh Kolahdoozan
Journal:  Iran J Radiol       Date:  2013-05-20       Impact factor: 0.212

9.  Who could benefit the most from using a computer-aided detection system in full-field digital mammography?

Authors:  Na Young Jung; Bong Joo Kang; Hyeon Sook Kim; Eun Suk Cha; Jae Hee Lee; Chang Suk Park; In Young Whang; Sung Hun Kim; Yeong Yi An; Jae Jeong Choi
Journal:  World J Surg Oncol       Date:  2014-05-29       Impact factor: 2.754

10.  Evaluation of radiographers' mammography screen-reading accuracy in Australia.

Authors:  Josephine C Debono; Ann E Poulos; Nehmat Houssami; Robin M Turner; John Boyages
Journal:  J Med Radiat Sci       Date:  2014-08-06
  10 in total

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