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USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSL) (AI-SSLD)

2026年6月10日 更新者:Chew Wei Da、National Healthcare Group, Singapore

USAGE OF ARITIFICIAL INTELLIGENCE IN AIDING WITH COLONIC SESSILE SERRATED LESIONS DETECTION AND DIAGNOSIS (AI-SSLD)

The aim of this study is to is to evaluate if a real-time Computer Aided Detection (CADe) system can help improve the detection of SSL(sessile serrated lesions) versus a conventional colonoscopy (CC) using white light examination(WLE).

調査の概要

詳細な説明

The serrated pathway is believed to account for 30% of all colorectal cancers (CRC). However, as detection rates vary widely among endoscopists and pathologists, there is uncertainty about the prevalence of these lesions [1]. Prevalence varies with study location, diagnostic criteria and examination quality. Relatively little is known about the epidemiology of these lesions (prevalence, location, family history) and risk of malignant transformation (timing, associated factors). A systematic review reported prevalence of sessile serrated lesions (SSL) was 3.9% in Europe and 5.1% in the US.

In Asia, only few reports on Sessile Serrated lesion (SSL) have been published. In a CRC screening study from Hong Kong recruiting 6,011 subjects, 486 (8.1%) subjects were reported to have HPs and only 85 (1.4%) SSL [2]. A study from Japan recruiting 5,218 asymptomatic subjects for CRC screening reported detection rates of serrated lesions of 23.3% and of right-sided serrated lesions of 7.6% respectively [3]. In this study, high-quality video endoscopes with narrow-band imaging (NBI) and magnification were used with 0.4% indigo carmine dye to enhance the detection of flat lesions. On the other hand, In Australia, the prevalence of SSL in Chinese (2%) was lower when compared with Caucasian (7%) subjects [4]. Studies have shown that SSLs are associated with CRC, especially those on the right colon and in the elderly age group, and hence should be detected and remove.[5] In addition to the potential for malignant transformation of SSL, individuals with these lesions are reportedly at higher risk of development of synchronous and metachronous CRC and advanced colorectal neoplasia (ACN) at other sites. [6-8]

Training for endoscopists and pathologists to identify SSL will likely increase detection rates, improve the prevalence of estimates of these lesions and hence reduce the incidence of interval post-colonoscopy colorectal cancer [9] The high variability between studies on the SSL prevalence, is at least partly explained by varying detection rates of serrated lesions between endoscopists, as this rate appears highly operator dependent.

Currently, CADe has been shown to improve adenoma detection rate by around 30%.[10] With the existing algorithm, SSL detection has not been improved irrespective of endoscopist experience, system type or healthcare setting. [11] This is because focus has always been put on adenomatous polyps. SSLs are sessile or flat lesions measuring average size 5-7mm and can be easily missed during conventional colonoscopy as they are usually normal to pale in color They may exhibit distinct endoscopic features such as overlying mucus cap, cloud-like surface, ring of debris or stool around the lesion and obscured mucosal vasculature During narrow-band imaging endoscopy, they have a cloud-like appearance, irregular shape, and dark spots inside the crypts. Better bowel preparation, longer withdrawal time, and careful examination of the right colon (with repeated anterograde examination or retroflexion in the caecum) improved detection of SSL [12]. Electronic chromoendoscopy such as NBI may marginally improve the detection of SSL but is currently not recommended as mandatory practice, because clear scientific evidence is lacking.

Usage of CADe system has been shown in several studies to improve polyp detection rate even amongst junior endoscopists but however most of the CADE system is trained to focus on adenomatous polyp. This AI algorithm has been trained to detect SSL. If proven to be effective in a real-world setting, this will improve outcomes of patients undergoing colonoscopies and reduce the risk of interval colon cancers post colonoscopies.

We hypothesise that usage of CADe system can improve SSL detection significantly from 2% with conventional White Light endoscopy to 6.5%.

研究の種類

介入

入学 (推定)

628

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

研究連絡先のバックアップ

研究場所

      • Singapore、シンガポール、308433
      • Singapore、シンガポール
        • 募集
        • National University of Singapore
        • コンタクト:
        • コンタクト:
        • 主任研究者:
          • Jonathan Wei Jie Lee
      • Singapore、シンガポール
        • まだ募集していません
        • Changi General Hospital
        • コンタクト:
          • Clinical Research Coordinator
          • 電話番号:6569365716
          • メール:ctru@cgh.com.sg
        • コンタクト:
        • 主任研究者:
          • Tiing Leong Ang, Phd

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

説明

Inclusion Criteria:

Adult (40 - 80 years) Undergoing colonoscopy for screening, surveillance, or diagnostic indications. Complete colonoscopy with satisfactory Boston Bowel Prep Scale of 6 or higher. Provide informed consent to participate in the study

Exclusion Criteria:

Personal or family history of colorectal cancer Personal or family history of colonic polyposis syndromes Personal or family history of inflammatory bowel disease Prior colorectal surgery Contraindications to colonoscopy (intestinal obstruction, medical conditions that will make the risk of colonoscopy too high) Contraindications to polypectomy (ongoing anticoagulation / double antiplatelet therapy that cannot be stopped for the colonoscopy) Inability to give consent Incomplete colonoscopy/ Unable to retrieve specimen for pathology Poor bowel preparation (Boston Bowel Prep Scale <6) Pregnant Women

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ふるい分け
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
アクティブコンパレータ:AI-assisted colonoscopy
A real-time Computer Aided Detection (CADe) system can help improve the detection of SSL versus a conventional colonoscopy (CC) using white light examination(WLE).
介入なし:Conventional Colonoscopy
Conventional Colonoscopy using white light

この研究は何を測定していますか?

主要な結果の測定

結果測定
時間枠
SSL per colonoscopy (SPC) using White Light Endoscopy alone vs enhancement by CADe system.
時間枠:up to a year
up to a year

二次結果の測定

結果測定
時間枠
1) Adenoma per colonoscopy (APC) using White Light Endoscopy alone vs enhancement by CADe system. 2) Polyp per colonoscopy (PPC) using White Light Endoscopy alone vs enhancement by CADe system. 3) Difference in the SPC, APC, PPC for each proceduralist
時間枠:up to a year
up to a year

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • スタディチェア:Joseph JY Sung, PHD、Nanyang Technological University

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

一般刊行物

  • 1.Meester RGS, van Herk M, Lansdorp-Vogelaar I, et al. Prevalence and clinical features of sessile serrated polyps: a systematic review. Gastroenterology 2020;159:105-118.e25 2.Lui, R. N. et al. Prevalence and risk factors for sessile serrated lesions in an average risk colorectal cancer screening population. J. Gastroenterol. Hepatol. 36, 1656-1662 (2021) 3.Sekiguchi M, Matsuda T Prevalence of serrated lesions, risk factors, and their association with synchronous advanced colorectal neoplasia in asymptomatic screened individuals. J Gastroenterol Hepatol. 2020 Nov;35(11):1938-1944 doi: 10.1111/jgh.15116. Epub 2020 Jun 10 4.Sung JJY, Chiu HM Third Asia-Pacific consensus recommendations on colorectal cancer screening and postpolypectomy surveillance. Gut. 2022 Nov;71(11):2152-2166. doi: 10.1136/gutjnl-2022-327377. Epub 2022 Aug 24 5.Song M, Emilsson L, Bozorg SR, et al. Risk of colorectal cancer incidence and mortality after polypectomy: a Swedish recordlinkage study. Lancet Gastroenterol Hepatol 2020;5:537-547. 6.Gao Q, Tsoi KK, Hirai HW, et al. Serrated polyps and the risk of synchronous colorectal advanced neoplasia: a systematic review and meta-analysis. Am J Gastroenterol. 2015; 110: 501-9. 7.He X, Hang D, Wu K, et al. Long-term Risk of Colorectal Cancer After Removal of Conventional Adenomas and Serrated Polyps. Gastroenterology. 2020; 158: 852-61. 8.Ng SC, Sung JJ. Association between serrated polyps and the risk of synchronous advanced colorectal neoplasia in average-risk individuals. Aliment Pharmacol Ther. 2015 Jan;41(1):108-15. doi: 10.1111/apt.13003. Epub 2014 Oct 22. PMID: 25339583. 9.David E F W M van Toledo et al, Serrated polyp detection and risk of interval post-colonoscopy colorectal cancer: a population-based study, The Lancet Gastroenterology & Hepatology, Volume 7, Issue 8, 2022, Pages 747-754 10.Repici A, Hassan C. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020 Aug;159(2)

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2026年5月21日

一次修了 (推定)

2027年5月1日

研究の完了 (推定)

2027年5月3日

試験登録日

最初に提出

2026年6月10日

QC基準を満たした最初の提出物

2026年6月10日

最初の投稿 (実際)

2026年6月16日

学習記録の更新

投稿された最後の更新 (実際)

2026年6月16日

QC基準を満たした最後の更新が送信されました

2026年6月10日

最終確認日

2026年6月1日

詳しくは

本研究に関する用語

キーワード

その他の研究ID番号

  • 2025-1940

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

未定

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

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