Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography

Janne Näppi; June Goo Lee; Joel G. Fletcher; Hiroyuki Yoshida

doi:10.1007/978-3-642-25719-3_12

Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography

Janne Näppi, June Goo Lee, Joel G. Fletcher, Hiroyuki Yoshida

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Crohn's disease is an inflammatory disease that can cause a wide variety of symptoms and is increasing in prevalence. We developed a computer-assisted diagnosis (CADx) scheme for quantitative image-based analysis of Crohn's disease in CT enterography (CTE). The CADx scheme extracts regions of interest automatically from CTE data, analyzes the small bowel automatically by use of mural features, and uses a support vector machine to predict the presence of active Crohn's disease. For pilot evaluation, two radiologists diagnosed the CTE data of 54 patients with known or suspected Crohn's disease. An unblinded gastroenterologist established the truth about the patients. The CADx scheme was then trained with the CTE data of 46 patients where the radiologists agreed on their diagnosis, and it was tested with the 8 difficult cases where the radiologists disagreed on their diagnosis. A bootstrapping analysis of the per-patient performance of the CADx scheme in predicting the presence of active Crohn's disease yielded an area under receiver-operating characteristic (ROC) curve of 0.92±0.05. The result indicates that the CADx scheme could provide a useful decision-making tool for CTE.

Original language	English (US)
Title of host publication	Virtual Colonoscopy and Abdominal Imaging
Subtitle of host publication	Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers
Pages	84-90
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-25719-3_12
State	Published - 2011
Event	2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China Duration: Sep 20 2010 → Sep 20 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6668 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Country/Territory	China
City	Beijing
Period	9/20/10 → 9/20/10

Keywords

CAD
CT enterography
Crohn's disease
computer-assisted diagnosis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-25719-3_12

Cite this

Näppi, J., Lee, J. G., Fletcher, J. G., & Yoshida, H. (2011). Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers (pp. 84-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6668 LNCS). https://doi.org/10.1007/978-3-642-25719-3_12

Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography. / Näppi, Janne; Lee, June Goo; Fletcher, Joel G. et al.
Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. p. 84-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6668 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Näppi, J, Lee, JG, Fletcher, JG & Yoshida, H 2011, Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography. in Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6668 LNCS, pp. 84-90, 2nd Int.Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, Held in Conjunction with the 13th Int.Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 9/20/10. https://doi.org/10.1007/978-3-642-25719-3_12

Näppi J, Lee JG, Fletcher JG, Yoshida H. Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography. In Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. p. 84-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-25719-3_12

Näppi, Janne ; Lee, June Goo ; Fletcher, Joel G. et al. / Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography. Virtual Colonoscopy and Abdominal Imaging: Computational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers. 2011. pp. 84-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography

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Keywords

ASJC Scopus subject areas

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