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

10 de junio de 2026 actualizado 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).

Descripción general del estudio

Estado

Reclutamiento

Intervención / Tratamiento

Descripción detallada

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 estudio

Intervencionista

Inscripción (Estimado)

628

Fase

  • No aplica

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Copia de seguridad de contactos de estudio

Ubicaciones de estudio

      • Singapore, Singapur, 308433
        • Reclutamiento
        • Tan Tock Seng Hospital
        • Contacto:
        • Contacto:
        • Investigador principal:
          • Weida Chew
      • Singapore, Singapur
        • Reclutamiento
        • National University of Singapore
        • Contacto:
        • Contacto:
        • Investigador principal:
          • Jonathan Wei Jie Lee
      • Singapore, Singapur
        • Aún no reclutando
        • Changi General Hospital
        • Contacto:
          • Clinical Research Coordinator
          • Número de teléfono: 6569365716
          • Correo electrónico: ctru@cgh.com.sg
        • Contacto:
        • Investigador principal:
          • Tiing Leong Ang, Phd

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto
  • Adulto Mayor

Acepta Voluntarios Saludables

Sí

Descripción

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

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Poner en pantalla
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Único

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
Comparador activo: 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).
Sin intervención: Conventional Colonoscopy
Conventional Colonoscopy using white light

¿Qué mide el estudio?

Medidas de resultado primarias

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

Medidas de resultado secundarias

Medida de resultado
Periodo de tiempo
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
Periodo de tiempo: up to a year
up to a year

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Investigadores

  • Silla de estudio: Joseph JY Sung, PHD, Nanyang Technological University

Publicaciones y enlaces útiles

La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.

Publicaciones Generales

  • 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)

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Actual)

21 de mayo de 2026

Finalización primaria (Estimado)

1 de mayo de 2027

Finalización del estudio (Estimado)

3 de mayo de 2027

Fechas de registro del estudio

Enviado por primera vez

10 de junio de 2026

Primero enviado que cumplió con los criterios de control de calidad

10 de junio de 2026

Publicado por primera vez (Actual)

16 de junio de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

16 de junio de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

10 de junio de 2026

Última verificación

1 de junio de 2026

Más información

Términos relacionados con este estudio

Otros números de identificación del estudio

  • 2025-1940

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

INDECISO

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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