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A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans.
IEEE Trans Neural Netw Learn Syst
April 2024
Automated colorectal cancer (CRC) segmentation in medical imaging is the key to achieving automation of CRC detection, staging, and treatment response monitoring. Compared with magnetic resonance imaging (MRI) and computed tomography colonography (CTC), conventional computed tomography (CT) has enormous potential because of its broad implementation, superiority for the hollow viscera (colon), and convenience without needing bowel preparation. However, the segmentation of CRC in conventional CT is more challenging due to the difficulties presenting with the unprepared bowel, such as distinguishing the colorectum from other structures with similar appearance and distinguishing the CRC from the contents of the colorectum.
View Article and Find Full Text PDFAn AI-Based Colonic Polyp Classifier for Colorectal Cancer Screening Using Low-Dose Abdominal CT.
Sensors (Basel)
December 2022
Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY 40292, USA.
Among the non-invasive Colorectal cancer (CRC) screening approaches, Computed Tomography Colonography (CTC) and Virtual Colonoscopy (VC), are much more accurate. This work proposes an AI-based polyp detection framework for virtual colonoscopy (VC). Two main steps are addressed in this work: automatic segmentation to isolate the colon region from its background, and automatic polyp detection.
View Article and Find Full Text PDFUrinary Volatile Organic Compound Testing in Fast-Track Patients with Suspected Colorectal Cancer.
Cancers (Basel)
April 2022
Department of General Surgery, Yeovil District Hospital NHS Foundation Trust, Higher Kingston, Yeovil BA21 4AT, UK.
Colorectal symptoms are common but only infrequently represent serious pathology, including colorectal cancer (CRC). A large number of invasive tests are presently performed for reassurance. We investigated the feasibility of urinary volatile organic compound (VOC) testing as a potential triage tool in patients fast-tracked for assessment for possible CRC.
View Article and Find Full Text PDFA novel physical colonoscopy simulator based on analysis of data from computed tomography colonography.
Surg Today
September 2017
Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Purpose: Laparoscopic surgery is now practiced widely because of its lower postoperative morbidity. As flexible endoscopy during laparoscopic surgery minimizes surgical trauma further, training in endoscopy will become more important for surgeons. Thus, we designed a physical simulator, the Noda-Kitada-Suzuki (NKS) model, which could provide the more realistic insertion of a colonoscope.
View Article and Find Full Text PDFVirtual colonoscopy, optical colonoscopy, or fecal occult blood testing for colorectal cancer screening: results of a pilot randomized controlled trial.
Trials
July 2015
Department of Medicine, McMaster University, 1280 Main Street West, Room HSC-2C8, Hamilton, Ontario, L8S 4K1, Canada.
Background: No head-to-head randomized controlled trials have demonstrated the superiority of one colorectal screening modality over another in reducing colorectal cancer mortality. We conducted a pilot randomized controlled trial of fecal occult blood testing (FOBT), optical colonoscopy (OC), and virtual colonoscopy (VC), to inform the planning of a larger evaluative trial.
Methods: Eligible patients (aged 50 to 70) were recruited from five primary care practices in Hamilton, ON, Canada, between March 23, 2010 and August 11, 2010, and randomized 1:1:1 in a parallel design using an automated, centralized telephone service to either FOBT, OC, or VC.
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