Literature DB >> 12238545

Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance.

Sergey V Beiden1, Robert F Wagner, Kunio Doi, Robert M Nishikawa, Matthew Freedman, Shih-Chung Ben Lo, Xin-Wei Xu.   

Abstract

RATIONALE AND
OBJECTIVES: The authors analyzed two methods for arranging the temporal sequencing of unaided versus computer-assisted reading in multiple-reader, multiple-case receiver operating characteristic studies of detection of solitary pulmonary nodules on chest radiographs. In the "independent" mode the readings are separated by about I month; in the "sequential" mode, the computer-assisted reading immediately follows the unassisted reading.
MATERIALS AND METHODS: The authors used the method of Beiden, Wagner, and Campbell (BWC) to decompose the components of variance of receiver operating characteristic accuracy measures into those that are correlated and those that are uncorrelated across reading conditions. Only the latter contribute to uncertainty in estimates of the difference in accuracy measures across reading conditions (unaided vs aided). This method was used to analyze data from two independent studies of the detection of solitary pulmonary nodules on chest radiographs.
RESULTS: In the sequential reading mode the components that were correlated across reading conditions increased compared to the independent reading mode, as might be expected. What was not anticipated was the fact that the total reader variance was approximately the same for the two reading modes. The results were remarkably similar across the two independent studies analyzed.
CONCLUSION: The sequential reading mode may thus be the more sensitive probe of the difference between unassisted and computer-assisted reading, if the mean effect is unperturbed (as here). It is also the least demanding on the logistics and investment of reader time.

Mesh:

Year:  2002        PMID: 12238545     DOI: 10.1016/s1076-6332(03)80479-8

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


  7 in total

1.  Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Authors:  Brandon D Gallas; Heang-Ping Chan; Carl J D'Orsi; Lori E Dodd; Maryellen L Giger; David Gur; Elizabeth A Krupinski; Charles E Metz; Kyle J Myers; Nancy A Obuchowski; Berkman Sahiner; Alicia Y Toledano; Margarita L Zuley
Journal:  Acad Radiol       Date:  2012-02-03       Impact factor: 3.173

2.  Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.

Authors:  Berkman Sahiner; Heang-Ping Chan; Marilyn A Roubidoux; Lubomir M Hadjiiski; Mark A Helvie; Chintana Paramagul; Janet Bailey; Alexis V Nees; Caroline Blane
Journal:  Radiology       Date:  2007-01-23       Impact factor: 11.105

Review 3.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Influence of study design in receiver operating characteristics studies: sequential versus independent reading.

Authors:  Steven Schalekamp; Bram van Ginneken; Cornelia M Schaefer-Prokop; Nico Karssemeijer
Journal:  J Med Imaging (Bellingham)       Date:  2014-04-23

5.  Sample size tables for computer-aided detection studies.

Authors:  Nancy A Obuchowski; Stephen L Hillis
Journal:  AJR Am J Roentgenol       Date:  2011-11       Impact factor: 3.959

6.  Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.

Authors:  L Barinov; A Jairaj; M Becker; S Seymour; E Lee; A Schram; E Lane; A Goldszal; D Quigley; L Paster
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

7.  Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support.

Authors:  Lubomir M Hadjiiski; Kenny H Cha; Richard H Cohan; Heang-Ping Chan; Elaine M Caoili; Matthew S Davenport; Ravi K Samala; Alon Z Weizer; Ajjai Alva; Galina Kirova-Nedyalkova; Kimberly Shampain; Nathaniel Meyer; Daniel Barkmeier; Sean A Woolen; Prasad R Shankar; Isaac R Francis; Phillip L Palmbos
Journal:  Tomography       Date:  2020-06
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.