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Confocal Laser Endomicroscopy clinical trials

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NCT ID: NCT05575765 Enrolling by invitation - Clinical trials for Colorectal Neoplasms

Clinical Validation of Multimodal Digestive Endoscopy

Start date: August 14, 2023
Phase:
Study type: Observational

According to the latest global cancer epidemiological data published by the International Agency for Research on Cancer, colorectal cancer (CRC) ranks 3rd in total incidence and 2nd in total mortality among all malignancies worldwide. The prognosis of CRC is directly related to tumor stage. The 5-year survival rate for early CRC can reach 90%, while less than 14% for advanced CRC. Therefore, early diagnosis of CRC is particularly important. Gastrointestinal (GI) endoscopy is an important method in the diagnosis of CRC. Currently, diagnosis of GI endoscopy is mainly based on morphological changes of tumors, while early-stage tumors are difficult to be detected because of the indistinguishable morphology. Studies have shown that the molecular function of cancer cells can be altered in early-stage tumors. The development of a new endoscopic system that can identify early tumor molecular function changes and improve the accuracy of morphological diagnosis will greatly improve the early diagnosis rate of CRC, which is the future direction of GI endoscopic system design and development. The combination of high-definition white light endoscopy, endoscopic cerenkov luminescence imaging (ECLI) and probe-based confocal laser endomicroscopy (pCLE) is ideal for future new GI endoscopy. High-definition white light endoscopy is helpful to quickly find and locate suspected abnormal mucosa; on top of this, ECLI enables molecule-specific functional imaging for accurate identification and determination of GI lesions; and further relies on pCLE for high-precision "cellular-level" lesion images for optical biopsy of lesions. Through the multimodal digestive endoscopy, structural imaging and functional imaging can be accomplished simultaneously, playing the innate advantage of multimodal information fusion diagnosis and facilitating the identification of early-stage tumors. In this clinical trial, twenty patients with colorectal cancer who underwent PET-CT in Xijing Hospital were enrolled. Multimodal digestive endoscopy, combination of high-definition white light endoscopy, ECLI and pCLE, was used to perform for each patient's rectal cancer. ECLI images were compared with PET-CT images, and pCLE images were compared with tumor histopathology, which evaluate the actual imaging effect of multimodal digestive endoscopy in human.

NCT ID: NCT05462743 Recruiting - Clinical trials for Artificial Intelligence

Artificial Intelligence-assisted Confocal Laser Endomicroscopy Identification of Intestinal Metaplasia Severity

Start date: July 1, 2022
Phase:
Study type: Observational

Currently, the Correa cascade is a widely accepted model of gastric carcinogenesis. Intestinal metaplasia is a high risk factor for gastric cancer. According to Sydney criteria, mild intestinal metaplasia was not associated with gastric cancer, while moderate to severe intestinal metaplasia was strongly associated with the development of gastric cancer. Because intestinal metaplasia is distributed in various forms, the use of white light endoscopy lacks specificity, and the consistency with histopathological diagnosis is poor; Pathological biopsy is still needed to make a diagnosis. At present, national guidelines suggest that OLGIM score should be used to evaluate the risk of gastric cancer, and patients with OLGIM grade III/IV should be monitored by close gastroscopy. However, it requires at least four biopsies, which is clinically infeasible. Confocal laser endomicroscopy allows real-time observation of living tissue, comparable to pathological findings.

NCT ID: NCT05459428 Recruiting - Clinical trials for Confocal Laser Endomicroscopy

Artificial Intelligence Confocal Laser Endomicroscopy for Real-time Assessment of Gastric Cancer Risk.

Start date: May 20, 2022
Phase:
Study type: Observational

Current national guidelines recommend the use of OLGIM score to evaluate the risk of gastric cancer in patients, and close gastroscopic monitoring should be performed after OLGIM grade III/IV. However, it would not be clinically feasible to require at least four biopsies. Confocal laser endomicroscopy is able to magnify the tissue by 1000X, which can be seen at the cellular level. Observing goblet cells under Confocal laser endomicroscopy is simpler and diagnostic accuracy is comparable to pathology. Confocal laser endomicroscopy enables better assessment of intestinal metaplasia in gastric mucosa, thus quantifying the risk of gastric cancer and avoiding multiple biopsies.

NCT ID: NCT04136236 Recruiting - Clinical trials for Artificial Intelligence

Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

Start date: August 1, 2019
Phase:
Study type: Observational

Detection and differentiation of esophageal squamous neoplasia (ESN) are of value in improving patient outcomes. Probe-based confocal laser endomicroscopy (pCLE) can diagnose ESN accurately.However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

NCT ID: NCT04131530 Recruiting - Ulcerative Colitis Clinical Trials

Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence

Start date: October 2019
Phase:
Study type: Observational

Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables to evaluate the inflammation activity of ulcerative colitis with excellent correlation with histopathology. However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

NCT ID: NCT03784209 Completed - Clinical trials for Artificial Intelligence

Automatic Real-time Diagnosis of Gastric Mucosal Disease Using pCLE With Artificial Intelligence

Start date: July 1, 2018
Phase:
Study type: Observational

Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables real-time histological evaluation of gastric mucosal disease during ongoing endoscopy examination. However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

NCT ID: NCT02930616 Not yet recruiting - Clinical trials for Gastric Intestinal Metaplasia

A Comparison of pCLE Based Targeted Biopsy and WLE Based Standard Biopsy in Staging the Operative Link on Gastric Intestinal Metaplasia (OLGIM): A Randomized,Cross-over Study

Start date: October 2016
Phase: Phase 4
Study type: Interventional

Gastric intestinal metaplasia (GIM) is an important premalignant lesion for gastric cancer. Precisely surveillance of patients with GIM may result in early detection and improved prognosis. Though important, it is not necessary to recommend surveillance endoscopy for all patients with GIM, since the progression rate to gastric cancer within 10 years is only 1.8% in those patients.