Screening is currently the most effective way for early detection of colonic cancer. Computed tomographic colonography (CTC), or virtual colonoscopy, has become an effective technique for non-invasive colon cancer screening that can be an alternative to optical colonoscopy (OC). However, current CTC examinations require pre-examination cathartic bowel preparation, essentially identical to that required for OC. The perceived discomfort and inconvenience associated with the rigorous cathartic bowel preparation before a CTC examination has been identified as the main barrier to wide acceptance of colon screening. The main technical barrier in applying non-cathartic bowel preparation to CTC examination is the lack of an effective electronic cleansing (EC) scheme for subtraction of tagged fecal materials in CTC images, because the cleansing artifacts encountered in current EC methods are too severe to allow non-cathartic CTC images of diagnostic quality. Dual-energy CT (deCT) is a new imaging technique that allows materials differentiation based on CT attenuation values derived from two synchronous CT acquisitions at different energies. Non-cathartic dual-energy CTC (deCTC), i.e., applying deCT to non-cathartic CTC image acquisition, has the potential significantly to improve the quality of EC. In this project, we will develop an EC scheme for non-cathartic deCTC, denoted as dual-energy EC (deEC), in which patients will be examined with non-cathartic bowel preparation and imaged with a deCT scanner. After image acquisition, the proposed deEC scheme will effectively remove the residual fecal materials in the colon in CTC images by a set of novel image processing methods developed in a dual-energy context. The capability of material differentiation in deCTC provides a new dimension for obviating the major cleansing artifacts existing in current EC methods, and thus provides CTC images of diagnostic quality. For evaluation purposes, we will establish a non-cathartic DE-CTC database. The quality and performance of the proposed DE-EC scheme will be evaluated in a phantom study, a manual cleansing study, a computer-aided detection (CAD) of polyps study, and an observer study. This research is innovative in that the non-cathartic deCTC and the development of its deEC scheme have not yet been attempted. The successful development and validation of the proposed deEC scheme will provide radiologists with cleansed CTC images of diagnostic quality for detecting colon cancer, and it will release the patients from the main concern regarding colon screening. Such an deEC-aided non-cathartic deCTC examination could substantially increase the screening compliance, safety, and the capacity for colon cancer screening. Thus, the proposed research will substantially raise the screening rate and the early detection of colonic polyps and cancers.

Public Health Relevance

The successful development and validation of the proposed deEC scheme will provide radiologists with cleansed CTC images of diagnostic quality for detecting colon cancer, and it will release patients from the main concern regarding colon screening. Such an EC-cleansed non-cathartic deCTC examination will substantially increase the rate of colon screening and thereby advance the early detection rate of colon cancer, leading to a reduction in colon cancer mortality rates.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Research Grants (R03)
Project #
1R03CA156664-01A1
Application #
8245518
Study Section
Special Emphasis Panel (ZCA1-SRLB-Y (O2))
Program Officer
Marquez, Guillermo
Project Start
2012-04-01
Project End
2014-03-31
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
1
Fiscal Year
2012
Total Cost
$87,250
Indirect Cost
$37,250
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
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Näppi, Janne J; Regge, Daniele; Yoshida, Hiroyuki (2015) Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography. Proc SPIE Int Soc Opt Eng 9414:94142Y
Yoshida, Hiroyuki; Wu, Yin; Cai, Wenli et al. (2012) Scalable, high-performance 3D imaging software platform: system architecture and application to virtual colonoscopy. Conf Proc IEEE Eng Med Biol Soc 2012:3994-7
Cai, Wenli; Kim, Se Hyung; Lee, June-Goo et al. (2012) Virtual colon tagging for electronic cleansing in dual-energy fecal-tagging CT colonography. Conf Proc IEEE Eng Med Biol Soc 2012:3736-9