Literature DB >> 18096536

CT colonography with computer-aided detection as a second reader: observer performance study.

Nicholas Petrick1, Maruf Haider, Ronald M Summers, Srinath C Yeshwant, Linda Brown, Edward M Iuliano, Adeline Louie, J Richard Choi, Perry J Pickhardt.   

Abstract

PURPOSE: To evaluate the effect of computer-aided detection (CAD) as second reader on radiologists' diagnostic performance in interpreting computed tomographic (CT) colonographic examinations by using a primary two-dimensional (2D) approach, with segmental, unblinded optical colonoscopy as the reference standard.
MATERIALS AND METHODS: This HIPAA-compliant study was IRB-approved with written informed consent. Four board-certified radiologists analyzed 60 CT examinations with a commercially available review system. Two-dimensional transverse views were used for initial polyp detection, while three-dimensional (3D) endoluminal and 2D multiplanar views were available for problem solving. After initial review without CAD, the reader was shown CAD-identified polyp candidates. The readers were then allowed to add to or modify their original diagnoses. Polyp location, CT Colonography Reporting and Data System categorization, and reader confidence as to the likelihood of a candidate being a polyp were recorded before and after CAD reading. The area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity were estimated for CT examinations with and without CAD readings by using multireader multicase analysis.
RESULTS: Use of CAD led to nonsignificant average reader AUC increases of 0.03, 0.03, and 0.04 for patients with adenomatous polyps 6 mm or larger, 6-9 mm, and 10 mm or larger, respectively (P > or = .25); likewise, CAD increased average reader sensitivity by 0.15, 0.16, and 0.14 for those respective groups, with a corresponding decrease in specificity of 0.14. These changes achieved significance for the 6 mm or larger group (P < .01), 6-9 mm group (P < .02), and for specificity (P < .01), but not for the 10 mm or larger group (P > .16). The average reading time was 5.1 minutes +/- 3.4 (standard deviation) without CAD. CAD added an average of 3.1 minutes +/- 4.3 (62%) to each reading (supine and prone positions combined); average total reading time, 8.2 minutes +/- 5.8.
CONCLUSION: Use of CAD led to a significant increase in sensitivity for detecting polyps in the 6 mm or larger and 6-9 mm groups at the expense of a similar significant reduction in specificity. RSNA, 2007

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Year:  2008        PMID: 18096536     DOI: 10.1148/radiol.2453062161

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  39 in total

Review 1.  Improving the accuracy of CTC interpretation: computer-aided detection.

Authors:  Ronald M Summers
Journal:  Gastrointest Endosc Clin N Am       Date:  2010-04

2.  Assessing operating characteristics of CAD algorithms in the absence of a gold standard.

Authors:  Kingshuk Roy Choudhury; David S Paik; Chin A Yi; Sandy Napel; Justus Roos; Geoffrey D Rubin
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

3.  Comparison of semiparametric receiver operating characteristic models on observer data.

Authors:  Frank W Samuelson; Xin He
Journal:  J Med Imaging (Bellingham)       Date:  2014-08-28

4.  Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography.

Authors:  Tan B Nguyen; Shijun Wang; Vishal Anugu; Natalie Rose; Matthew McKenna; Nicholas Petrick; Joseph E Burns; Ronald M Summers
Journal:  Radiology       Date:  2012-01-24       Impact factor: 11.105

5.  Evaluation of computer-aided detection and diagnosis systems.

Authors:  Nicholas Petrick; Berkman Sahiner; Samuel G Armato; Alberto Bert; Loredana Correale; Silvia Delsanto; Matthew T Freedman; David Fryd; David Gur; Lubomir Hadjiiski; Zhimin Huo; Yulei Jiang; Lia Morra; Sophie Paquerault; Vikas Raykar; Frank Samuelson; Ronald M Summers; Georgia Tourassi; Hiroyuki Yoshida; Bin Zheng; Chuan Zhou; Heang-Ping Chan
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

6.  CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography.

Authors:  Thomas Mang; Luca Bogoni; Vikram X Anand; Dass Chandra; Andrew J Curtin; Anna S Lev-Toaff; Gerardo Hermosillo; Ralph Noah; Vikas Raykar; Marcos Salganicoff; Robert Shaw; Susan Summerton; Rafel F R Tappouni; Helmut Ringel; Michael Weber; Matthias Wolf; Nancy A Obuchowski
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

7.  A comparison of material decomposition techniques for dual-energy CT colonography.

Authors:  Radin A Nasirudin; Rie Tachibana; Janne J Näppi; Kai Mei; Felix K Kopp; Ernst J Rummeny; Hiroyuki Yoshida; Peter B Noël
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-02-21

8.  A review of computer-aided diagnosis in thoracic and colonic imaging.

Authors:  Kenji Suzuki
Journal:  Quant Imaging Med Surg       Date:  2012-09

9.  Comparative performance of a primary-reader and second-reader paradigm of computer-aided detection for CT colonography in a low-prevalence screening population.

Authors:  Mototaka Miyake; Gen Iinuma; Stuart A Taylor; Steve Halligan; Tsuyoshi Morimoto; Tamaki Ichikawa; Hideto Tomimatsu; Gareth Beddoe; Kazuro Sugimura; Yasuaki Arai
Journal:  Jpn J Radiol       Date:  2013-02-19       Impact factor: 2.374

10.  Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided "first-reader" workflow for the detection of colorectal adenomas.

Authors:  Thomas Mang; Gerardo Hermosillo; Matthias Wolf; Luca Bogoni; Marcos Salganicoff; Vikas Raykar; Helmut Ringl; Michael Weber; Christina Mueller-Mang; Anno Graser
Journal:  Eur Radiol       Date:  2012-08-18       Impact factor: 5.315

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