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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationVirtual Colonoscopy and Abdominal Imaging
Subtitle of host publicationComputational Challenges and Clinical Opportunities - Second International Workshop, Held in Conjunction with MICCAI 2010, Revised Selected Papers
Pages84-90
Number of pages7
DOIs
StatePublished - Dec 23 2011
Event2nd 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 2010Sep 20 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6668 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd 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
CountryChina
CityBeijing
Period9/20/109/20/10

Keywords

  • CAD
  • CT enterography
  • Crohn's disease
  • computer-assisted diagnosis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Computer-assisted diagnosis for quantitative image-based analysis of Crohn's disease in CT enterography'. Together they form a unique fingerprint.

Cite this