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Набор скоро начнётся NCT07307547

Efficacy of AI-Assisted Colonoscopy for Screening Colorectal Neoplasia (AI-COLOSCREEN)

Без фазы С лечением Colorectal Neoplasms Colonic Polyp Adenoma Colorectal Cancer

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: AI-Assisted Colonoscopy.
Кому может быть актуально
Состояния в реестре: Colorectal Neoplasms, Colonic Polyp, Adenoma, Colorectal Cancer. Базовые параметры: 18 лет — 75 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Китай
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
Официальное название

A Multi-center, Randomized, Controlled Clinical Study on the Efficacy of Artificial Intelligence-Assisted Colonoscopy in Improving the Screening of Colorectal Cancer and Precancerous Lesions.

Обзор

This study is a multi-center, randomized controlled trial designed to evaluate whether an artificial intelligence (AI) system can assist endoscopists to improve the detection rate of colorectal adenomas and cancers during colonoscopy compared to standard colonoscopy. Early screening and diagnosis are key to reducing the burden of colorectal cancer, but current colonoscopy has limitations, including the risk of missed lesions. This trial aims to determine if AI can enhance screening quality and diagnostic accuracy.

Подробное описание

Colorectal cancer (CRC) screening is crucial for early detection and reducing mortality, yet current colonoscopy techniques face challenges such as variable adenoma detection rates (ADR) and the risk of missed diagnoses for subtle lesions. This study is a prospective, multi-center, parallel-group, randomized controlled trial aiming to validate the clinical value of an AI-assisted diagnostic system in improving screening quality. A total of 3342 participants will be randomized in a 1:1 ratio to undergo either AI-assisted colonoscopy (Experimental Group) or conventional high-definition colonoscopy (Control Group). The primary objective is to compare the ADR between the two groups. Secondary objectives include assessing the detection rate of advanced or specific types of polyps, the mean number of adenomas per procedure, and the impact of the AI system on both patient and physician satisfaction. The study will provide high-quality evidence for the standardized application of AI technology in CRC screening, with the ultimate goal of reducing the incidence and mortality of colorectal cancer.

Вмешательства

  • Устройство AI-Assisted Colonoscopy
    High-definition colonoscopy procedure with a real-time video analyzed artificial intelligence system.

Первичные конечные точки

  • Adenoma Detection Rate (ADR) [Срок оценки: From the day of the procedure up to 14 days post-procedure.]
Вторичные конечные точки (5)
  • Mean Adenomas Per Colonoscopy (APC) [Срок оценки: From the day of the procedure up to 14 days post-procedure.]
  • Advanced Adenoma and Sessile Serrated Adenoma/Polyp (SSA/P) Detection Rate [Срок оценки: From the day of the procedure up to 14 days post-procedure.]
  • Patient Satisfaction Score [Срок оценки: Assessed within 1 hour after completion of the colonoscopy procedure.]
  • Physician Satisfaction Score [Срок оценки: Assessed within 1 hour after completion of the colonoscopy procedure.]
  • Incidence of Procedure-Related Adverse Events [Срок оценки: From the start of the procedure up to 30 days post-procedure.]

Критерии участия

Критерии включения

  • Age between 18 and 75 years, inclusive.
  • Scheduled for a screening, diagnostic, or surveillance colonoscopy.
  • Able to understand the study protocol and provide written informed consent.

Критерии исключения

  • Known contraindications to colonoscopy or biopsy.
  • Personal history of colorectal cancer, inflammatory bowel disease (IBD), or previous colorectal surgery.
  • Known or suspected colorectal polyposis syndrome (e.g., Familial Adenomatous Polyposis - FAP).
  • Patients with active colorectal bleeding, bowel obstruction, or toxic megacolon.
  • Women who are pregnant, planning to become pregnant, or are breastfeeding.
  • Participation in another interventional clinical trial within the 30 days prior to enrollment.
  • Any other condition that, in the investigator's judgment, would make the participant unsuitable for the study.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение
Рандомизированное
Модель
Параллельные группы
Маскирование
Открытое
Основная цель
Скрининг

Центры проведения

Китай · 1 центр
  • The Second Affiliated Hospital, Zhejiang University School of Medicine — Ханчжоу

Идентификаторы

NCT: NCT07307547 · 2025-0756

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗