Academic Journal
The Role of Computational Models in the Detection of Colorectal Carcinoma and Precancerous Lesions.
| Τίτλος: | The Role of Computational Models in the Detection of Colorectal Carcinoma and Precancerous Lesions. |
|---|---|
| Συγγραφείς: | Zivic J; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia., Jakovljevic S; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of General Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia., Zivic M; Department of Dentistry, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Maxillofacial Surgery, Clinic of Otorhinolaryngology, University Clinical Centre Kragujevac, 34000 Kragujevac, Serbia., Rancic A; Clinic for Gastroenterohepatology, University Clinical Center Niš, 18000 Niš, Serbia., Radojevic D; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia., Maksic M; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia., Ilic I; Clinic for Gastroenterohepatology, University Clinical Center Niš, 18000 Niš, Serbia., Milutinovic N; Department of Digestive Surgery, University Clinical Center Niš, 18000 Niš, Serbia., Mirkovic N; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Vascular Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia., Eric S; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Anesthesiology, Resuscitation and Intensive Care, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia., Stojanovic B; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia., Stolic R; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Nephrology and Dialysis Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia., Antonelli G; Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy.; Endoscopy Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy., Zdravkovic N; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia. |
| Πηγή: | International journal of molecular sciences [Int J Mol Sci] 2026 Sep 06; Vol. 27 (17). Date of Electronic Publication: 2026 Sep 06. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI, [2000- |
| Ιατρικοί όροι (MeSH): | Colorectal Neoplasms*/diagnosis , Colorectal Neoplasms*/pathology , Precancerous Conditions*/diagnosis , Diagnosis, Computer-Assisted*/methods , Computer Simulation*, Colonoscopy/methods ; Adenoma/diagnosis ; Early Detection of Cancer/methods ; Humans ; Artificial Intelligence |
| Περίληψη: | Colonoscopy is a key screening method for colorectal cancer (CRC), but its effectiveness is limited. Computer-aided detection (CADe) and computer-aided diagnostics (CADx), as part of an artificial intelligence (AI) system, improve the detection and optical characterization of lesions. This review maps and analyzes the evidence on the application of AI in colonoscopy, with a focus on the detection, segmentation, and characterization of colon neoplasms, available platforms, architectural models and implementation. The review was conducted in accordance with JBI and PRISMA-ScR guidelines, using the PCC framework. Meta-analyses, randomized controlled trials, systematic and narrative reviews, observational studies, guidelines, and consensus documents on the use of AI systems in different phases of colonoscopy were searched. CADe significantly improves adenoma detection and reduces the number of missed lesions. CADx, segmentation, depth of invasion assessment, and detection of learned lesions remain limited and heterogeneous. CADe has strong evidence for improving ADR, whereas current evidence for CADx remains insufficient to support a "resect-and-discard" strategy. Further cost-effectiveness studies are needed. Commercial platforms vary in their features and level of clinical validation. Colonoscopy using AI is a current topic with rapid development. This scoping review comprises heterogeneous literature covering clinical applications, technical aspects, the potential benefits and limitations of AI in improving colonoscopy performance and reducing the burden of colorectal cancer. Further trials involving diverse patient populations across different countries are needed to validate and extend the current evidence. |
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| Contributed Indexing: | Keywords: adenoma detection rate; adenoma miss rate; artificial intelligence; colonoscopy; colorectal cancer; colorectal polyps; computer-aided detection; computer-aided diagnosis; quality indicators |
| Entry Date(s): | Date Created: 20260915 Date Completed: 20260915 Latest Revision: 20260916 |
| Update Code: | 20260916 |
| PubMed Central ID: | PMC13566519 |
| DOI: | 10.3390/ijms27177943 |
| PMID: | 42737839 |
| Βάση Δεδομένων: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: The Role of Computational Models in the Detection of Colorectal Carcinoma and Precancerous Lesions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zivic+J%22">Zivic J</searchLink>; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Jakovljevic+S%22">Jakovljevic S</searchLink>; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of General Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Zivic+M%22">Zivic M</searchLink>; Department of Dentistry, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Maxillofacial Surgery, Clinic of Otorhinolaryngology, University Clinical Centre Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Rancic+A%22">Rancic A</searchLink>; Clinic for Gastroenterohepatology, University Clinical Center Niš, 18000 Niš, Serbia.<br /><searchLink fieldCode="AU" term="%22Radojevic+D%22">Radojevic D</searchLink>; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Maksic+M%22">Maksic M</searchLink>; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Ilic+I%22">Ilic I</searchLink>; Clinic for Gastroenterohepatology, University Clinical Center Niš, 18000 Niš, Serbia.<br /><searchLink fieldCode="AU" term="%22Milutinovic+N%22">Milutinovic N</searchLink>; Department of Digestive Surgery, University Clinical Center Niš, 18000 Niš, Serbia.<br /><searchLink fieldCode="AU" term="%22Mirkovic+N%22">Mirkovic N</searchLink>; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Vascular Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Eric+S%22">Eric S</searchLink>; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Department of Anesthesiology, Resuscitation and Intensive Care, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Stojanovic+B%22">Stojanovic B</searchLink>; Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Stolic+R%22">Stolic R</searchLink>; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Nephrology and Dialysis Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia.<br /><searchLink fieldCode="AU" term="%22Antonelli+G%22">Antonelli G</searchLink>; Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy.; Endoscopy Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy.<br /><searchLink fieldCode="AU" term="%22Zdravkovic+N%22">Zdravkovic N</searchLink>; Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.; Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101092791%22">International journal of molecular sciences</searchLink> [Int J Mol Sci] 2026 Sep 06; Vol. 27 (17). <i>Date of Electronic Publication: </i>2026 Sep 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101092791 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1422-0067 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214220067%22">14220067 </searchLink><i>NLM ISO Abbreviation: </i>Int J Mol Sci <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Original Publication</i>: Basel, Switzerland : MDPI, [2000- – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Colorectal+Neoplasms%22">Colorectal Neoplasms*</searchLink>/<searchLink fieldCode="MM" term="%22Colorectal+Neoplasms+diagnosis%22">diagnosis</searchLink> <br /><searchLink fieldCode="MM" term="%22Colorectal+Neoplasms%22">Colorectal Neoplasms*</searchLink>/<searchLink fieldCode="MM" term="%22Colorectal+Neoplasms+pathology%22">pathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Precancerous+Conditions%22">Precancerous Conditions*</searchLink>/<searchLink fieldCode="MM" term="%22Precancerous+Conditions+diagnosis%22">diagnosis</searchLink> <br /><searchLink fieldCode="MM" term="%22Diagnosis%2C+Computer-Assisted%22">Diagnosis, Computer-Assisted*</searchLink>/<searchLink fieldCode="MM" term="%22Diagnosis%2C+Computer-Assisted+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Computer+Simulation%22">Computer Simulation*</searchLink><br /><searchLink fieldCode="MH" term="%22Colonoscopy%22">Colonoscopy</searchLink>/<searchLink fieldCode="MH" term="%22Colonoscopy+methods%22">methods</searchLink> ; <searchLink fieldCode="MH" term="%22Adenoma%22">Adenoma</searchLink>/<searchLink fieldCode="MH" term="%22Adenoma+diagnosis%22">diagnosis</searchLink> ; <searchLink fieldCode="MH" term="%22Early+Detection+of+Cancer%22">Early Detection of Cancer</searchLink>/<searchLink fieldCode="MH" term="%22Early+Detection+of+Cancer+methods%22">methods</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Colonoscopy is a key screening method for colorectal cancer (CRC), but its effectiveness is limited. Computer-aided detection (CADe) and computer-aided diagnostics (CADx), as part of an artificial intelligence (AI) system, improve the detection and optical characterization of lesions. This review maps and analyzes the evidence on the application of AI in colonoscopy, with a focus on the detection, segmentation, and characterization of colon neoplasms, available platforms, architectural models and implementation. The review was conducted in accordance with JBI and PRISMA-ScR guidelines, using the PCC framework. Meta-analyses, randomized controlled trials, systematic and narrative reviews, observational studies, guidelines, and consensus documents on the use of AI systems in different phases of colonoscopy were searched. CADe significantly improves adenoma detection and reduces the number of missed lesions. CADx, segmentation, depth of invasion assessment, and detection of learned lesions remain limited and heterogeneous. CADe has strong evidence for improving ADR, whereas current evidence for CADx remains insufficient to support a "resect-and-discard" strategy. Further cost-effectiveness studies are needed. Commercial platforms vary in their features and level of clinical validation. Colonoscopy using AI is a current topic with rapid development. This scoping review comprises heterogeneous literature covering clinical applications, technical aspects, the potential benefits and limitations of AI in improving colonoscopy performance and reducing the burden of colorectal cancer. Further trials involving diverse patient populations across different countries are needed to validate and extend the current evidence. – Name: Ref Label: References Group: RefInfo Data: Nat Rev Gastroenterol Hepatol. 2022 Aug;19(8):521-531. (PMID: <searchLink fieldCode="PM" term="%2235505243%22">35505243)</searchLink><br />Gastrointest Endosc. 2024 May;99(5):667-675.e1. 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(PMID: <searchLink fieldCode="PM" term="%2241724535%22">41724535)</searchLink> – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>adenoma detection rate; adenoma miss rate; artificial intelligence; colonoscopy; colorectal cancer; colorectal polyps; computer-aided detection; computer-aided diagnosis; quality indicators – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20260915 <i>Date Completed: </i>20260915 <i>Latest Revision: </i>20260916 – Name: DateUpdate Label: Update Code Group: Date Data: 20260916 – Name: PubmedCentralID Label: PubMed Central ID Group: ID Data: PMC13566519 – Name: DOI Label: DOI Group: ID Data: 10.3390/ijms27177943 – Name: AN Label: PMID Group: ID Data: 42737839 |
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