Objectives: Fecal immunochemical testing (FIT) and colonoscopy are tandem procedures in colorectal cancer (CRC) screening. A positive FIT predicts advanced neoplasia (AN) that requires endoscopic detection and removal. En bloc or piecemeal resection of AN is associated with a significant rate of residual or recurrent neoplasia. Second-look colonoscopies are indicated to assess completeness of removal of AN. These colonoscopies can make a substantial demand on colonoscopy capacity and health-care system. This study is the first to evaluate the demand and risk factors for second-look colonoscopy in FIT CRC screening.
Methods: All colonoscopies after a positive FIT, in subjects aged 50-74 years approached for 3 rounds of FIT screening, were prospectively registered. Second-look colonoscopies were defined as any colonoscopy within 1 year following a colonoscopy after positive FIT.
Results: Out of 1,215 FIT-positive screenees undergoing colonoscopy, 105 (8.6%) patients underwent a second-look colonoscopy, of whom 30 (2.5%) underwent more than one colonoscopy (range 2-9), leading to a total of 149 (12.3%) additional colonoscopies. Main reasons for second-look colonoscopies were assessment of complete AN removal (41.9%) and need for additional polypectomy (34.3%). Risk factors were advanced adenomas and poor bowel preparation (P<0.001). High fecal hemoglobin concentration was the only predictor of a second-look colonoscopy before index colonoscopy (P<0.001).
Conclusions: Second-look colonoscopies have substantial impact on colonoscopy resources, increasing the demand with 12%. The main reasons for these second-look colonoscopies were previous incomplete polypectomy and control of completeness of removal of neoplastic lesions. A high fecal hemoglobin concentration as measured by FIT can help to identify patients at risk of a second-look colonoscopy.
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http://dx.doi.org/10.1038/ajg.2015.157 | DOI Listing |
Dig Endosc
November 2024
Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Korean J Intern Med
July 2024
AI Center, Korea University Anam Hospital, Seoul, Korea.
This study reviews the recent progress of artificial intelligence for colonoscopy from detection to diagnosis. The source of data was 27 original studies in PubMed. The search terms were "colonoscopy" (title) and "deep learning" (abstract).
View Article and Find Full Text PDFEndoscopy
April 2023
Department of Gastroenterology, Portuguese Oncology Institute - Porto, Portugal.
ESGE suggests conventional endoscopic submucosal dissection (ESD; marking and mucosal incision followed by circumferential incision and stepwise submucosal dissection) for most esophageal and gastric lesions. ESGE suggests tunneling ESD for esophageal lesions involving more than two-thirds of the esophageal circumference. ESGE recommends the pocket-creation method for colorectal ESD, at least if traction devices are not used.
View Article and Find Full Text PDFNeuro Endocrinol Lett
June 2022
Clinic of General, Visceral and Transplant Surgery, Jessenius Faculty of Medicine, Comenius University in Bratislava, University Hospital Martin, Martin, Slovak Republic.
Introduction: Since the second half of the 20th century, an association between the occurrence of Clostridium septicum and Streptococcus gallolyticus infections in patients with colorectal cancer has been described in specialist literature. Infections are manifested by bacteremia, septic embolism, cellulitis, myonecrosis, and gas gangrene of the limbs.
Material And Methods: The authors present a case of a rare association between lower limb gangrene caused by the septic embolization of a Clostridium septicum infection and malignancy of colon ascendens in a polymorbid patient.
Diagnostics (Basel)
October 2021
Department of Endoscopy, The Jikei University School of Medicine, 3-25-8 Nishishimbashi, Minato-ku, Tokyo 105-8461, Japan.
We developed a computer-aided detection (CADe) system to detect and localize colorectal lesions by modifying You-Only-Look-Once version 3 (YOLO v3) and evaluated its performance in two different settings. The test dataset was obtained from 20 randomly selected patients who underwent endoscopic resection for 69 colorectal lesions at the Jikei University Hospital between June 2017 and February 2018. First, we evaluated the diagnostic performances using still images randomly and automatically extracted from video recordings of the entire endoscopic procedure at intervals of 5 s, without eliminating poor quality images.
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