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The Learning Curve of Probe-based Confocal Laser Endomicroscopy (pCLE) images interpretation in Gastric Intestinal Metaplasia (GIM)
Objective:
The aim of this study is to evaluate the learning curve of pCLE images interpretation in GIM.
Research design:
Blinded review of pCLE images for the diagnosis of GIM
Sample size:
Five beginner endoscopists will be assigned in this study to read approximately 80 videoclips
Data analysis:
ROC curve is analyzed by SPSS version 16.
Expected Benefit and Clinical Application Information on the learning curve for GIM interpretation from pCLE images in order to develop early gastric cancer detection
Full description
Background and Rationale:
Gastric cancer remains the second leading cause of cancer related death in the world. The incidence and mortality rate is predominant in East Asia[1]. Usually, gastric cancer is asymptomatic in early stage; therefore, most patients are in the advanced stage and incurable at diagnosis. The pathogenesis of intestinal type gastric cancer is sequential and multistep pathway. Gastric intestinal metaplasia (GIM) is the precancerous lesion for intestinal type gastric cancer[2]. The strategies which can detect precancerous and/or early cancerous transformation are very beneficial because only early gastric cancer can potentially be cured by endoscopic treatment. Probe-based confocal laser endomicroscope or pCLE is useful for GIM detection with 94% in sensitivity[3]. However, this perfect sensitivity in pCLE interpretation is provided in only expertise. We still do not know how to be an expert in GIM interpretation. No study about learning curve in GIM interpretation by pCLE published
Observation and Measurement:
Collect the accuracy in GIM interpretation from pCLE reported in ROC curve
Methodology:
Data collection:
All data will be processed and recorded by one physician.
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Inclusion and exclusion criteria
Inclusion Criteria:
5 participants in 1 patient group
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Central trial contact
Nuttaphat Namjud, M.Sc.; Rapat Pittayanon, MD
Data sourced from clinicaltrials.gov
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