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临床试验/NCT07111715
NCT07111715招募中不适用

Comparison Between Artificial Intelligence Assisted Capsule Endoscopy and Standard Reading to Investigate Suspected Crohn Disease: the SCAI STUDY

Fondazione Poliambulanza Istituto Ospedaliero2 个研究点 分布在 1 个国家目标入组 180 人开始时间: 2025年7月21日最近更新:
干预措施

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
180
试验地点
2
主要终点
Diagnostic yield (DY)

研究概览

简要总结

The diagnosis of Crohn's Disease (CD) is based on a combination of clinical, biochemical (serological and fecal), endoscopic, radiological, and histological investigations. In the absence of obstructive symptoms or known stenosis, European guidelines recommend to investigate the small intestine using Video Capsule Endoscopy (VCE) if ileocolonoscopy is not decisive. To reduce the reading time of VCE and increase the number of identified lesions during the examination, various artificial intelligence software/tools have been developed in recent decades. This study aims to be the first prospective multicentric real-life trial to evaluate AI-assisted VCE using SmartScan in identifying typical mucosal abnormalities of the small intestine in patients with suspected CD and its ability to reduce reading time while maintaining the same diagnostic yield and diagnostic accuracy of standard reading. The objective of the study is to evaluate the role of AI-assisted VCE using the OMOM SmartScan in detecting typical small bowel inflammatory lesions (i.e. erosions and ulcers) in patients with suspected CD, and comparing AI with standard reading.

详细描述

SCREENING Patients with signs and symptoms of suspected CD AND negative/inconclusive ileocolonoscopy will be enrolled. Inconclusive ileocolonoscopy will be defined as the presence of aspecific inflammatory mucosal alterations in the ileum or colon, that do not allow a final diagnosis of CD. At the Screening Visit, active or recent gastrointestinal infection will be ruled out. Patients who will present with sub-occlusive symptoms will undergo a patency capsule to exclude the presence of a stenosis. Only patients with a prompt patency transit (expulsion within 30-33 hours of the intact patency capsule or its absence on abdominal X-ray) will be enrolled.

Signs and symptoms of suspected CD will be defined according to the ECCO Guidelines and ICCE criteria. An ad-hoc protocol defined by the authors will be applied to define the patient with suspicion of CD, stratifying all factors as major or minor criteria: the presence of at least two major criteria or the combination of one major criteria with three minor criteria will be necessary for patient enrolment. Other clinical, laboratory and radiological data will be collected (i.e. Thrombocyte, leukocytes, ESR, Vitamin D).

Before the ingestion of the capsule, patients reported outcomes (PRO) measures will be collected to investigate how patients' symptoms impair their physical and mental health (anxiety, depression), interfere with daily activities (work, personal care) and are responsible for chronic fatigue and tiredness, or loss of energy. The aforementioned questionnaires are FACIT-F (https://www.facit.org/measures/facit-fatigue), SF 36 (22), and EQ-5D-5L (23).

VCE PROTOCOL: Small bowel VCE will be performed using the OMOM Capsule System (Chongqing Jinshan Science & Technology (Group) Co), equipped with a DNN based system called SmartScan (SC), which is able to automatically select suspected lesions thus creating a very short video constituted only by selected images. The SC100 system tested in this study consists of:

  1. Ingestible microcamera SC1 OMOM HD: the capsule is 25.4 x 11.4 mm in size, with a weight of 3.0 grams. It is embedded with a single camera with a 172° field of view; sampling rate varies between 4 and 35 frames per second, and the image resolution is 512 x 512 pixels. The depth of field is optimized between 0 and 50 mm. The Truecolor 24-bit model allows for high colour depth, displaying up to 16 million colours per pixel.
  2. Recorder and SC-RD1 belt: antennas receive data from the OMOM video capsule
  3. Vue Smart Work Station: SmartView reading software equipped with the CNN model. The CNN model analyses raw data during the download phase from the recorder and during video review. It supports the operator in reviewing and reporting through three functionalities:

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 75 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age >= 18 and <= 75 years
  • Clinical suspicion of Crohn's Disease (CD) with/without occlusive symptoms
  • Ileocolonoscopy: negative examination, aspecific inflammatory findings
  • Signed informed consent form

排除标准

  • Known diagnosis of CD
  • Endoscopic diagnosis of active diverticular disease, colorectal cancer, ulcerative colitis, or infectious colitis, microscopic colitis
  • Positive stool tests for pathogenic bacteria, Yersinia enterocolitica, parasites, C. difficile infection, fecal antigen for Giardia lamblia within 6 months before VCE
  • Known intestinal obstruction or unconfirmed small bowel patency
  • Any use of NSAIDs in the 4 weeks before ileocolonoscopy and before VCE
  • Known gastrointestinal motility disorder
  • Known or suspected delayed gastric emptying
  • Swallowing disorders
  • Allergy or other contraindications or intolerance to the medications/devices used in the study
  • Endoscopic placement of the capsule
  • Any condition that prevents adherence to the study
  • Pregnancy
  • Participation in another clinical trial involving experimental drugs or devices
  • Concomitant life-threatening condition
  • Chronic kidney disease (eGFR<30mL/min/1.73 m2)
  • Inability to sign the informed consent

研究组 & 干预措施

Suspected Crohn's Disease

Eligible patients for the study are those with clinical symptoms and laboratory results suggestive of CD who have previously undergone an ileocolonoscopy which excluded other organic pathology and/or resulted inconclusive for CD (aspecific terminal ileitis).

干预措施: Small bowel Video Capsule Endoscopy (VCE) using an Capsule System equipped with a Deep Neural Network based system called SmartScan (SC), (Device)

结局指标

主要结局

Diagnostic yield (DY)

时间窗: through study completion, an average of 1 year

Non-inferiority of AI-assisted reading (AIR) compared to standard reading (SR) in detecting (diagnostic yield - DY) typical lesions of suspected CD (erosions and/or ulcers and/or stenosis).

次要结局

  • VCE reading time(through study completion, an average of 1 year)
  • VCE reading time(through study completion, an average of 1 year)

研究者

发起方
Fondazione Poliambulanza Istituto Ospedaliero
申办方类型
Other
责任方
Principal Investigator
主要研究者

Stefania Piccirelli

Principal Investigator

Fondazione Poliambulanza Istituto Ospedaliero

研究点 (2)

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