Nanfang Hospital, Southern Medical University
Guangzhou, Guangdong, 510515, China
Location status: Recruiting
NCT Number: NCT07032961
The goal of this is to learn about the effectiveness and feasibility of a novel AI- assisted Mobile Capsule Gastroscopy (MCG) system for detecting gastric pathologies in elderly and high-risk populations.
The main question it aims to answer is:
Can MCG effectively detect gastric pathologies, including common gastric diseases, gastric cancer, and precancerous lesions, in elderly and high-risk individuals at community health centers?
Participants will:
Epidemiological, diagnostic, and post-MCG follow-up data generated during participants' involvement in the gastric pathologies public screening program will be collected.
Interested in participating?
Request Info45 year and older
All sexes
Observational
Guangzhou, Guangdong, 510515, China
Location status: Recruiting
Gastric diseases-including atrophic gastritis, gastric polyps, peptic ulcers, submucosal lesions, gastric cancer, and precancerous conditions-have become a major global public health challenge. In China, the prevalence of gastric ulcers is as high as 17.2%, significantly higher than that in Western countries (4.1%) [1]. Gastric cancer also ranks among the top globally in both incidence and mortality, with approximately 400,000 new cases and over 300,000 deaths each year [2-3]. Notably, around 80% of patients are diagnosed at an advanced stage, and the 5-year survival rate is less than 30% [4]. Studies have shown that early gastric cancer, if detected and treated promptly, can achieve a 5-year survival rate of over 90% [5]. Moreover, if benign conditions such as atrophic gastritis and peptic ulcers are not treated in time, they may progress into precancerous lesions or even malignancies [6]. Therefore, early screening and accurate diagnosis are key to reducing the disease burden of gastric disorders.
Although esophagogastroduodenoscopy (EGD) is considered the gold standard for gastric disease screening [7-8], its invasive nature, associated patient discomfort, and reliance on skilled endoscopists and specialized equipment limit its accessibility. In China, the scarcity of endoscopic resources in primary care settings, combined with low patient compliance, further restricts screening coverage and increases the risk of missed diagnoses [9-10].
In recent years, capsule endoscopy has emerged as a valuable complementary tool for gastrointestinal disease screening due to its non-invasive and user-friendly nature [6,7]. Among its modalities, magnetically controlled capsule gastroscopy (MCCG) provides comprehensive gastric visualization, with reported sensitivity and specificity of 90% and 92%, respectively, for common gastric lesions. However, its reliance on expensive magnetic navigation systems and trained operators limits its widespread adoption in community-based screening programs [8].
To address these limitations, a novel mobile-controlled capsule gastroscopy (MCG) system being more accessible and not requiring costly external magnetic control was developed. It consists only of a disposable capsule and a wireless portable receiver. Participants can complete the examination independently in community health centers or at home by following video instructions via a smartphone app and adjusting their body positions to guide the capsule. An AI algorithm ensures complete gastric coverage in real time. The video can be viewed directly on the smartphone and transmitted to the cloud for remote diagnosis. The MCG system is non-invasive, user-friendly, and compatible with remote diagnosis, making it well suited for gastric disease screening in community health centers. Compared with MCCG, MCG enables fully autonomous operation without magnetic navigation, substantially reducing technical complexity and healthcare costs. However, its diagnostic accuracy and real-world feasibility in community-based populations have yet to be validated through prospective studies.
In 2025, the Guangzhou Municipal Health Commission issued the 'Gastric Pathologies Screening Programme for the Elderly and High Risk Groups in Guangzhou Municipality'. Organized by the Commission and led by Southern Medical University Nanfang Hospital, with participation from Guangzhou First People's Hospital, The Second Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Hospital of Traditional Chinese Medicine, and others, the program will conduct screening and surveillance of 10,000 elderly and high-risk individuals in community health centers across Guangzhou.
This prospective cohort study will collect epidemiological data, examination results, follow-up outcomes, and other relevant information from the screening program. The primary endpoint is the detection rate of gastric pathologies, including common conditions (such as atrophic gastritis, gastric ulcers, and submucosal tumors), gastric cancer, and precancerous lesions. The operational feasibility, safety, and acceptability of the MCG system in primary care settings will also be assessed. Findings are expected to provide scientific evidence to support the optimization of gastric disease prevention and control strategies at the municipal level.
3.1 Short-term follow-up will be conducted on Days 1, 3, and 14 following MCG.
3.2 Long-term follow-up will be conducted annually for a duration of five years through telephone interviews and/or routine monitoring at community health centers.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
1.Provision of written informed consent; 2.Participants of the 'Gastric Pathologies Screening Programme for the Elderly and High Risk Groups in Guangzhou Municipality', the following are the criteria for inclusion in this public welfare programme:
Exclusion criteria
(1)Known allergy to medical polymer materials; (2)Psychiatric disorders that interfere with procedural cooperation; (3)Pregnancy or lactation; (4)Severe systemic comorbidities (e.g., cardiovascular, respiratory, neurological diseases) affecting examination tolerance; (5)Inflammatory bowel disease (Crohn's disease or ulcerative colitis) or gastrointestinal diverticulosis; (6)Known or suspected gastrointestinal malformations, obstructions, strictures, or fistulas; (7)Clinically significant dysphagia; (8)Acute abdominal symptoms (e.g., pain, vomiting, suspected bowel obstruction, or severe constipation); (9)History of major gastrointestinal surgery (e.g., esophagogastrostomy, gastrojejunostomy); (10)Physical debilitation precludes postural changes or concurrent severe illness; (11)Medically ineligible for abdominal procedures or refusal to undergo them; (12)Deemed unsuitable for MCG by the investigator; (13)Refusal to provide informed consent; (14)Any other condition judged by the investigator to make the individual unsuitable for study participation.
MCG System: GICE-1000 Manufacturer: Guangzhou Side Medical Technology Co., Ltd.
Time frame: At end of data collection phase (within 6 months of study launch)
This measure assesses the proportion of participants in whom MCG identifies common gastric diseases, gastric cancer, or precancerous lesions.
Time frame: Within 14days after MCG procedure
This outcome tracks the incidence and types of adverse events related to the MCG procedure, including capsule retention, discomfort, or complications requiring medical intervention.
Time frame: At end of data collection phase (within 6 months of study launch)
The coverage rate of gastric anatomical regions, the device failure rate, image quality, and mucosal visibility will be evaluated for all MCG examinations.
Coverage for each anatomical region and overall gastric coverage will be calculated as: Coverage rate = Number of Regions Adequately Visualized / Total Number of Anatomical Regions The calculation formula for the incidence of device failure is as follows: Device failure rate = Number of Cases with Device Failure / Number of Cases.
A three-level grading scale (excellent / good / poor) will be used to objectively assess the following imaging quality indicators: clarity, field of view, image stability, structural and detail resolution, stereoscopic perception, overall image impression, intragastric cleanliness, gastric lumen distension, and mucosal visualization.
Time frame: Immediately after MCG procedure
This outcome evaluates the proportion of participants who successfully complete the MCG exam without technical failure or early termination.
Time frame: Immediately after MCG procedure
Participant-reported satisfaction with the MCG procedure, assessed via structured survey covering aspects such as comfort and convenience.
Time frame: At end of data collection phase (within 6 months of study launch)
Evaluates the cost per case of gastric pathologies detected using MCG versus conventional methods, using health economic metrics such as cost-effectiveness ratio and incremental cost-effectiveness ratio (ICER).
Time frame: Within 30 days after MCG for participants referred for confirmatory EGD
Measures the consistency of diagnosis between MCG and the gold-standard EGD in participants with suspicious MCG findings. The Kappa statistic will be calculated to quantify diagnostic agreement.
Contact information is provided by the study sponsor or research team.
Nanfang Hospital, Southern Medical University
Other
Screening for Gastric Pathologies in Elderly and High-Risk Populations Using a Mobile Capsule Gastroscopy System: a Prospective, Multicenter, Population Based Cohort Study
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