Diagnostic Accuracy of EUS for Colorectal Submucosal Masses
Study on the Diagnostic Accuracy of Endoscopic Ultrasound for Submucosal Masses of Colorectal Cancer
1 other identifier
observational
270
1 country
1
Brief Summary
This study aims to evaluate the diagnostic accuracy of endoscopic ultrasound (EUS) for colorectal submucosal tumors/lesions (SMTs/SELs) and to identify factors associated with correct EUS diagnosis. Using cases with histopathologic confirmation as the reference standard, EUS-based preoperative diagnoses will be compared with final pathology to estimate overall accuracy and accuracy across different lesion types. Potential influencing factors-including lesion location, size, echogenicity, layer of origin, image quality, operator experience and training, and EUS equipment/probe type-will be analyzed to determine independent predictors of diagnostic concordance. The findings are expected to inform optimization of EUS examination and interpretation for colorectal submucosal lesions, thereby improving clinical decision-making and overall quality of care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2015
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2023
CompletedFirst Submitted
Initial submission to the registry
December 31, 2025
CompletedFirst Posted
Study publicly available on registry
January 20, 2026
CompletedJanuary 20, 2026
October 1, 2023
8.8 years
December 31, 2025
January 11, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Coincidence Rate Between Endoscopic Ultrasound Diagnosis and Pathological Diagnosis
For each included lesion with histopathologic confirmation, the preoperative endoscopic ultrasound (EUS) diagnosis will be compared with the final pathological diagnosis. The coincidence rate will be calculated as the proportion of lesions in which the EUS diagnosis is concordant with the pathological diagnosis (number of concordant diagnoses divided by the total number of lesions assessed) during the study period.
At the time of preoperative EUS and postoperative pathological evaluation (Day 0).
Interventions
Eligibility Criteria
This study includes patients who were admitted to Shenzhen Hospital of Southern Medical University between 2015 and 2023 and underwent colorectal endoscopic ultrasound (EUS). Eligible participants are those diagnosed with colorectal submucosal tumors/subepithelial lesions based on the Chinese expert consensus on endoscopic diagnosis and treatment of gastrointestinal submucosal tumors (2023 edition) and related criteria. Patients whose EUS findings did not support a diagnosis of a submucosal tumor/subepithelial lesion were excluded.
You may qualify if:
- Patients who were admitted to Shenzhen Hospital of Southern Medical University from 2015 to 2023 and underwent colorectal endoscopic ultrasound.
- Patients diagnosed with colorectal submucosal tumors (subepithelial lesions) according to the Chinese expert consensus on the endoscopic diagnosis and treatment of gastrointestinal submucosal tumors (2023 edition).
You may not qualify if:
- Patients with endoscopic ultrasound diagnosis of non-submucosal tumors.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Run-hua Lilead
Study Sites (1)
Unknown Facility
Shenzhen, Guangdong, 518000, China
Related Links
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Study Director
Study Record Dates
First Submitted
December 31, 2025
First Posted
January 20, 2026
Study Start
January 1, 2015
Primary Completion
October 1, 2023
Study Completion
October 1, 2023
Last Updated
January 20, 2026
Record last verified: 2023-10
Data Sharing
- IPD Sharing
- Will not share