Literature DB >> 29795776

Paired split-plot designs of multireader multicase studies.

Weijie Chen1, Qi Gong1, Brandon D Gallas1.   

Abstract

The widely used multireader multicase ROC study design for comparing imaging modalities is the fully crossed (FC) design: every reader reads every case of both modalities. We investigate paired split-plot (PSP) designs that may allow for reduced cost and increased flexibility compared with the FC design. In the PSP design, case images from two modalities are read by the same readers, thereby the readings are paired across modalities. However, within each modality, not every reader reads every case. Instead, both the readers and the cases are partitioned into a fixed number of groups and each group of readers reads its own group of cases-a split-plot design. Using a [Formula: see text]-statistic based variance analysis for AUC (i.e., area under the ROC curve), we show analytically that precision can be gained by the PSP design as compared with the FC design with the same number of readers and readings. Equivalently, we show that the PSP design can achieve the same statistical power as the FC design with a reduced number of readings. The trade-off for the increased precision in the PSP design is the cost of collecting a larger number of truth-verified patient cases than the FC design. This means that one can trade-off between different sources of cost and choose a least burdensome design. We provide a validation study to show the iMRMC software can be reliably used for analyzing data from both FC and PSP designs. Finally, we demonstrate the advantages of the PSP design with a reader study comparing full-field digital mammography with screen-film mammography.

Entities:  

Keywords:  iMRMC software; least burdensome approach; multireader multicase; reader studies; split-plot design

Year:  2018        PMID: 29795776      PMCID: PMC5956142          DOI: 10.1117/1.JMI.5.3.031410

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  16 in total

1.  A probabilistic model for the MRMC method, part 2: validation and applications.

Authors:  Matthew A Kupinski; Eric Clarkson; Harrison H Barrett
Journal:  Acad Radiol       Date:  2006-11       Impact factor: 3.173

2.  A probabilistic model for the MRMC method, part 1: theoretical development.

Authors:  Eric Clarkson; Matthew A Kupinski; Harrison H Barrett
Journal:  Acad Radiol       Date:  2006-11       Impact factor: 3.173

3.  One-shot estimate of MRMC variance: AUC.

Authors:  Brandon D Gallas
Journal:  Acad Radiol       Date:  2006-03       Impact factor: 3.173

4.  Reader studies for validation of CAD systems.

Authors:  Brandon D Gallas; David G Brown
Journal:  Neural Netw       Date:  2007-12-23

5.  Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis.

Authors:  Stephen L Hillis; Kevin S Berbaum; Charles E Metz
Journal:  Acad Radiol       Date:  2008-05       Impact factor: 3.173

6.  Dorfman-Berbaum-Metz method for statistical analysis of multireader, multimodality receiver operating characteristic data: validation with computer simulation.

Authors:  C A Roe; C E Metz
Journal:  Acad Radiol       Date:  1997-04       Impact factor: 3.173

7.  Generalized Roe and Metz receiver operating characteristic model: analytic link between simulated decision scores and empirical AUC variances and covariances.

Authors:  Brandon D Gallas; Stephen L Hillis
Journal:  J Med Imaging (Bellingham)       Date:  2014-09-25

8.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

9.  Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parameters.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2018-04-02       Impact factor: 2.373

10.  A marginal-mean ANOVA approach for analyzing multireader multicase radiological imaging data.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2013-08-23       Impact factor: 2.373

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  5 in total

1.  Impact of prevalence and case distribution in lab-based diagnostic imaging studies.

Authors:  Brandon D Gallas; Weijie Chen; Elodia Cole; Robert Ochs; Nicholas Petrick; Etta D Pisano; Berkman Sahiner; Frank W Samuelson; Kyle J Myers
Journal:  J Med Imaging (Bellingham)       Date:  2019-01-21

2.  Evaluation of Pseudoreader Study Designs to Estimate Observer Performance Results as an Alternative to Fully Crossed, Multireader, Multicase Studies.

Authors:  Rickey E Carter; David R Holmes; Joel G Fletcher; Cynthia H McCollough
Journal:  Acad Radiol       Date:  2019-05-07       Impact factor: 3.173

3.  Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms.

Authors:  Katherine Elfer; Sarah Dudgeon; Victor Garcia; Kim Blenman; Evangelos Hytopoulos; Si Wen; Xiaoxian Li; Amy Ly; Bruce Werness; Manasi S Sheth; Mohamed Amgad; Rajarsi Gupta; Joel Saltz; Matthew G Hanna; Anna Ehinger; Dieter Peeters; Roberto Salgado; Brandon D Gallas
Journal:  J Med Imaging (Bellingham)       Date:  2022-07-27

4.  Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis.

Authors:  Bih-Rong Wei; Charles H Halsey; Shelley B Hoover; Munish Puri; Howard H Yang; Brandon D Gallas; Maxwell P Lee; Weijie Chen; Amy C Durham; Jennifer E Dwyer; Melissa D Sánchez; Ryan P Traslavina; Chad Frank; Charles Bradley; Lawrence D McGill; D Glen Esplin; Paula A Schaffer; Sarah D Cramer; L Tiffany Lyle; Jessica Beck; Elizabeth Buza; Qi Gong; Stephen M Hewitt; R Mark Simpson
Journal:  Acad Pathol       Date:  2019-07-11

5.  A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.

Authors:  Sarah N Dudgeon; Si Wen; Matthew G Hanna; Rajarsi Gupta; Mohamed Amgad; Manasi Sheth; Hetal Marble; Richard Huang; Markus D Herrmann; Clifford H Szu; Darick Tong; Bruce Werness; Evan Szu; Denis Larsimont; Anant Madabhushi; Evangelos Hytopoulos; Weijie Chen; Rajendra Singh; Steven N Hart; Ashish Sharma; Joel Saltz; Roberto Salgado; Brandon D Gallas
Journal:  J Pathol Inform       Date:  2021-11-15
  5 in total

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