Literature DB >> 23033425

Predicting polyp location on optical colonoscopy from CT colonography by minimal-energy curve modeling of the colonoscope path.

Jiamin Liu1, Kevin W Chang, Jianhua Yao, Ronald M Summers.   

Abstract

The ability to accurately locate a polyp found on computed tomographic colonography (CTC) at subsequent optical colonoscopy (OC) is an important task in colorectal cancer screening. We present a method to more accurately match polyp locations at CTC and OC. A colonoscope was modeled as a flexible tube with negligible stretch and minimal strain. The path of the colonoscope was estimated using a minimal-energy curve method. The energy function was defined and optimized by a subdivision scheme. The prediction of polyp locations at OC from CTC was converted to an optimization problem. The prediction performance was evaluated on 134 polyps by comparing the predicted with the true polyp locations at OC. The method can accurately predict polyp locations at OC to within ±0.5 colonoscope mark (5 cm) for more than 58% of polyps and to within ±1 colonoscope mark (10 cm) for more than 96% of polyps, significantly improving upon previously published methods. This method can be easily incorporated into routine OC practice and allow the colonoscopist to begin the examination by targeting locations of potential polyps found at CTC.

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Year:  2012        PMID: 23033425      PMCID: PMC4217649          DOI: 10.1109/TBME.2012.2217960

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

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Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

4.  Annual report to the nation on the status of cancer, 1975-2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates.

Authors:  Brenda K Edwards; Elizabeth Ward; Betsy A Kohler; Christie Eheman; Ann G Zauber; Robert N Anderson; Ahmedin Jemal; Maria J Schymura; Iris Lansdorp-Vogelaar; Laura C Seeff; Marjolein van Ballegooijen; S Luuk Goede; Lynn A G Ries
Journal:  Cancer       Date:  2010-02-01       Impact factor: 6.860

5.  Registration under topological change for CT colonography.

Authors:  Jung W Suh; Christopher L Wyatt
Journal:  IEEE Trans Biomed Eng       Date:  2011-01-10       Impact factor: 4.538

6.  Genetic alterations during colorectal-tumor development.

Authors:  B Vogelstein; E R Fearon; S R Hamilton; S E Kern; A C Preisinger; M Leppert; Y Nakamura; R White; A M Smits; J L Bos
Journal:  N Engl J Med       Date:  1988-09-01       Impact factor: 91.245

7.  Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis.

Authors:  Shijun Wang; Jianhua Yao; Jiamin Liu; Nicholas Petrick; Robert L Van Uitert; Senthil Periaswamy; Ronald M Summers
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

8.  Normalized distance along the colon centerline: a method for correlating polyp location on CT colonography and optical colonoscopy.

Authors:  Ronald M Summers; Jeffrey A Swift; Andrew J Dwyer; J Richard Choi; Perry J Pickhardt
Journal:  AJR Am J Roentgenol       Date:  2009-11       Impact factor: 3.959

9.  Anatomic factors predictive of incomplete colonoscopy based on findings at CT colonography.

Authors:  Meghan E Hanson; Perry J Pickhardt; David H Kim; Patrick R Pfau
Journal:  AJR Am J Roentgenol       Date:  2007-10       Impact factor: 3.959

10.  Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology.

Authors:  Bernard Levin; David A Lieberman; Beth McFarland; Robert A Smith; Durado Brooks; Kimberly S Andrews; Chiranjeev Dash; Francis M Giardiello; Seth Glick; Theodore R Levin; Perry Pickhardt; Douglas K Rex; Alan Thorson; Sidney J Winawer
Journal:  CA Cancer J Clin       Date:  2008-03-05       Impact factor: 508.702

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  1 in total

Review 1.  Progress in Fully Automated Abdominal CT Interpretation.

Authors:  Ronald M Summers
Journal:  AJR Am J Roentgenol       Date:  2016-04-21       Impact factor: 3.959

  1 in total

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