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

10 de junho de 2026 atualizado por: 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).

Visão geral do estudo

Status

Recrutamento

Intervenção / Tratamento

Descrição detalhada

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%.

Tipo de estudo

Intervencional

Inscrição (Estimado)

628

Estágio

  • Não aplicável

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Contato de estudo

Estude backup de contato

Locais de estudo

      • Singapore, Cingapura, 308433
      • Singapore, Cingapura
      • Singapore, Cingapura
        • Ainda não está recrutando
        • Changi General Hospital
        • Contato:
          • Clinical Research Coordinator
          • Número de telefone: 6569365716
          • E-mail: ctru@cgh.com.sg
        • Contato:
        • Investigador principal:
          • Tiing Leong Ang, Phd

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

  • Adulto
  • Adulto mais velho

Aceita Voluntários Saudáveis

Sim

Descrição

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

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Triagem
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição Paralela
  • Mascaramento: Solteiro

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Comparador Ativo: 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).
Sem intervenção: Conventional Colonoscopy
Conventional Colonoscopy using white light

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Prazo
SSL per colonoscopy (SPC) using White Light Endoscopy alone vs enhancement by CADe system.
Prazo: up to a year
up to a year

Medidas de resultados secundários

Medida de resultado
Prazo
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
Prazo: up to a year
up to a year

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Investigadores

  • Cadeira de estudo: Joseph JY Sung, PHD, Nanyang Technological University

Publicações e links úteis

A pessoa responsável por inserir informações sobre o estudo fornece voluntariamente essas publicações. Estes podem ser sobre qualquer coisa relacionada ao estudo.

Publicações Gerais

  • 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)

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Real)

21 de maio de 2026

Conclusão Primária (Estimado)

1 de maio de 2027

Conclusão do estudo (Estimado)

3 de maio de 2027

Datas de inscrição no estudo

Enviado pela primeira vez

10 de junho de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

10 de junho de 2026

Primeira postagem (Real)

16 de junho de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

16 de junho de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

10 de junho de 2026

Última verificação

1 de junho de 2026

Mais Informações

Termos relacionados a este estudo

Outros números de identificação do estudo

  • 2025-1940

Plano para dados de participantes individuais (IPD)

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INDECISO

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

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