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Large Language Model-Assisted cTNM Annotation From Chinese PSMA PET/CT Reports
Sponsor: First Affiliated Hospital of Wenzhou Medical University
Summary
This observational study will develop and validate a large language model-assisted workflow for imaging cTNM staging annotation and uncertainty recognition in prostate cancer using Chinese PSMA PET/CT report texts generated during routine clinical care. The study will use de-identified report texts and necessary baseline clinical information only. No additional imaging examination, blood test, treatment, or follow-up visit will be assigned for this study. The main objective is to evaluate whether a locally or institutionally controlled large language model can identify report-derived imaging cT, cN, and cM categories, extract supporting evidence from the original report, and recognize uncertainty expressions. Model performance will be assessed using an internal independent validation set, external validation reports from two collaborating hospitals, and a prospective validation set of 100 consecutive routine PSMA PET/CT reports. A human-AI comparison will also be performed using physicians from urology and imaging-related specialties with different seniority levels.
Official title: Large Language Model-Assisted Imaging cTNM Staging Annotation and Uncertainty Recognition for Prostate Cancer Based on Chinese PSMA PET/CT Reports
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
4600
Start Date
2026-06-17
Completion Date
2027-12-31
Last Updated
2026-07-16
Healthy Volunteers
No
Conditions
Interventions
Large Language Model-Assisted Report Annotation
A locally or institutionally controlled large language model workflow will analyze de-identified Chinese PSMA PET/CT report texts and generate structured outputs for report-derived imaging cTNM staging annotation, uncertainty recognition, and supporting evidence extraction. This workflow is used only for research evaluation and methodological analysis. It will not assign any examination, treatment, medication, procedure, or follow-up to participants, and it will not guide clinical diagnosis or treatment decisions.
Locations (1)
The First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China