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Recruiting NCT07098884

Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos

— Observational Artificial Intelligence Lung Nodule

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: AI model.
Who it may be relevant to
Registry conditions: Artificial Intelligence, Lung Nodule. Basic parameters: 20 years — 75 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Overview

The current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens.

Interventions

  • Diagnostic test AI model
    AI model developed by smartphone photos of resected tumor specimens

Primary outcome measures

  • Area under the receiver operating characteristic curve [Time frame: From enrollment to the end of the study, assessed up to 6 months]

Eligibility criteria

Inclusion Criteria: (1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Age ranging from 20-75 years.

Exclusion Criteria: (1) Participants with incomplete clinical information; (2) Participants who have received anti-tumor therapy.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

China · 3 centers
  • Anhui Provincial Hospital — Hefei
  • The First Affiliated Hospital of Soochow University — Suzhou
  • Ningbo First Hospital — Ningbo

Identifiers

NCT: NCT07098884 · SPAI

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗