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Large Language Model-Assisted cTNM Annotation From Chinese PSMA PET/CT Reports

Recruitingn/aAges 18 Years - anyMaleFirst Affiliated Hospital of Wenzhou Medical Univ…
NCT07707232 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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 1

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📋 Eligibility rules (as published)
Inclusion Criteria: 1. Male patients aged 18 years or older. 2. Patients with clinically diagnosed, pathologically diagnosed, or clinically suspected prostate cancer. 3. Patients who underwent PSMA PET/CT for initial staging, recurrence assessment, treatment response evaluation, metastatic assessment, or other clinical purposes during routine care. 4. Complete or basically complete Chinese PSMA PET/CT report text is available, including imaging findings and/or diagnostic impression. 5. The report text contains information that can be used to evaluate at least one target field, such as local prostate lesion, regional lymph nodes, non-regional lymph nodes, bone metastasis, visceral metastasis, or uncertainty expressions. 6. The research data can be de-identified and replaced by a study identification number before analysis. Exclusion Criteria: 1. PSMA PET/CT reports unrelated to prostate cancer, or reports clearly irrelevant to the research task. 2. Reports with severely missing, unreadable, or unavailable main text, imaging findings, or diagnostic impression. 3. Reports that cannot be adequately de-identified or contain residual direct personal identifiers that cannot be safely removed. 4. Duplicate records, repeated exports of the same examination, or records for which the unique report version cannot be confirmed. 5. Reports judged by the research team to be of insufficient quality for manual annotation, model evaluation, or statistical analysis.
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What it tests

  • Large Language Model-Assisted Report Annotation
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Where

1 site
The First Affiliated Hospital of Wenzhou Medical University
Wenzhou, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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