Large Language Model-Assisted cTNM Annotation From Chinese PSMA PET/CT Reports
This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.
About the trial
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.
Original English text from ClinicalTrials.gov
Who can (and can't) join
✓ Qualifies
- •Mężczyźni w wieku 18 lat lub starsi
- •Pacjenci z rakiem prostaty potwierdzonym badaniem, podejrzeniem raka prostaty lub klinicznie zdiagnozowani
- •Pacjenci, którzy przeszli badanie PET/CT z PSMA w ramach rutynowej opieki medycznej
- •Pełny lub niemal pełny raport z badania PET/CT w języku chińskim zawierający opis wyników i opinie
- •Raport zawiera informacje o miejscu nowotworu, węzłach chłonnych, przerzutach lub niewnościach
✗ Disqualifies
- •Raporty niezwiązane z rakiem prostaty lub wyraźnie nieistotne dla badania
- •Raporty z poważnymi brakami, nieczytelne lub bez głównego tekstu
- •Raporty, które nie mogą być prawidłowo zanonimizowane lub zawierają dane osobowe
- •Zduplikowane zapisy lub wielokrotnie eksportowane dane z tego samego badania
- •Raporty oceniane jako zbyt niskiej jakości do analizy
Simplified criteria — AI translation
Trial details
- Minimum age
- 18 Years
- Last updated (source)
- July 21, 2026
- Sex
- Male only
Therapies / drugs in trial
Locations (1)
The First Affiliated Hospital of Wenzhou Medical University
Wenzhou, China
Trial contact
Contact information from ClinicalTrials.gov. Contact in English.
Share this trial
Data from ClinicalTrials.gov. AI-assisted translation, last sync: 7/22/2026.
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