Objective: The purpose of our study was to evaluate two current automatic polyp detection systems to determine their sensitivity and false-positive rate in patients who have undergone CT colonography and subsequent endoscopy.
Materials And Methods: We evaluated two polyp detection systems--Polyp Enhanced Viewing (PEV) and the Summers computer-aided detection (CAD) system (National Institutes of Health [NIH]) using a unique cohort of CT colonography examinations: 31 examinations with true-positive lesions identified by radiologists and 34 examinations with false-positive lesions incorrectly identified by radiologists. All patients had reference-standard colonoscopy within 7 days of CT. Candidate lesions were compared with the endoscopic reference standard and prospective radiologist interpretation. The sensitivity and false-positive rates were calculated for each system.
Results: The NIH system had a higher sensitivity than the PEV tool for polyps > or = 1 cm (22/23, 96%; 78-99%, 95% CI vs 14/23, 61%; 38-81%, 95% CI; p = 0.008, respectively). There was no significant difference in the detection of medium-sized polyps 6-9 mm in size (8/13 vs 6/13, p = 0.68, respectively). The PEV tool had an average of 1.18 false-positive detections per patient, whereas the NIH tool had an average of 5.20 false-positive detections per patient, with the PEV tool having significantly fewer false-positive detections in both patient groups (p < 0.001).
Conclusion: One polyp detection system tended to operate with a higher sensitivity, whereas the other tended to operate with a lower false-positive rate. Prospective trials using polyp detection systems as a primary or secondary means of CT colonography interpretation appear warranted.
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http://dx.doi.org/10.2214/AJR.07.2289 | DOI Listing |
Endoscopy
January 2025
Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC Location VUmc, Amsterdam, Netherlands.
Background AI-systems in endoscopy are predominantly developed and tested using high-quality imagery from expert centers. Their performance may be different when applied on heterogeneous imagery in clinical practice. This is partially caused by the diversity in post-processing enhancement settings used in endoscopy units.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Importance: High-quality colonoscopy reduces the risks of colorectal cancer by increasing the adenoma detection rate. Routine use of an automatic quality control system (AQCS) to assist in colorectal adenoma detection should be considered.
Objective: To evaluate the effect of an AQCS on the adenoma detection rate among colonoscopists who were moderate- and low-level detectors during routine colonoscopy.
J Anus Rectum Colon
January 2025
Department of Gastroenterology, Hiroshima University Hospital, Hiroshima, Japan.
Objectives: Studies have suggested that computer-aided polyp detection using artificial intelligence improves adenoma identification during colonoscopy. However, its real-world effectiveness remains unclear. Therefore, this study evaluated the usefulness of computer-aided detection during regular surveillance colonoscopy.
View Article and Find Full Text PDFJ Anus Rectum Colon
January 2025
Department of Endoscopy, Fukuoka University Chikushi Hospital, Chikushino, Japan.
Objectives: Colonoscopy is the gold standard for screening cancer and precancerous lesions in the large intestine. Recently, remarkable advances in artificial intelligence (AI) have led to the development of various computer-aided detection (CADe) systems for colonoscopy. This study aimed to evaluate the usefulness of AI for colonoscopy using CAD-EYE (Fujifilm, Tokyo, Japan) to calculate the adenoma miss rate (AMR).
View Article and Find Full Text PDFFront Surg
January 2025
Department of Otolaryngology, Pei County People's Hospital, Xuzhou, Jiangsu, China.
Objective: This study was undertaken to assess the association between the likelihood of surgical recurrence and serum ECP and TIgE levels in chronic rhinosinusitis with nasal polyps (CRSwNP).
Methodology: Clinical information was gathered retrospectively from 166 cases of surgically treated CRSwNP as well as 60 cases of chronic rhinosinusitis without nasal polyps (CRSsNP). A comparative analysis on serum levels of total immunoglobulin E (TIgE) and eosinophil cationic protein (ECP) was carried out between the two groups.
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