Plain-English translation of NCT06735105 on ClinicalTrials.gov โ ยท Source last updated ยท Translation generated ยท How we translate trials
This study doesn't follow the usual testing phases โ it may be an observational study or a different type of research.
Doctors need accurate imaging to understand how advanced stomach cancer is before surgery. This study is testing three different MRI scanning sequences โ conventional DWI, TSE-DWI, and ZOOMit-DWI โ to see which one provides the clearest pictures and most accurate staging information for patients with gastric cancer.
Current standard MRI imaging sometimes struggles with image quality and accurate staging of stomach cancer. This trial is designed to find out whether newer scanning techniques can give doctors better, clearer images to help them plan more effective treatment.
You likely qualify ifโฆ
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You would receive MRI scans using three different scanning sequences on a 3.0 Tesla MRI machine. The researchers will compare the image quality and accuracy of each method, then match the MRI results against what doctors find during your surgery to see which scanning technique was most accurate in staging your cancer.
AI-generated summary from trial data ยท Aug 5, 2026 ยท Not medical advice
China
Yunnan Cancer Hospital
Enrollment target
~129 participants
Started
December 2023
Primary completion
December 2024
This trial's estimated completion date has passed โ the record may not be fully up to date.
Age range
18 Years โ 80 Years
Last updated on clinicaltrials.gov in December 2024.
Reach out to the team running this trial. Response times vary โ some teams are faster than others.
Central contact
Li Yanli, master
Ethics Committee of Yunnan Provincial Cancer Hospital
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first โ no email needed to get started.