Radiomics Combined With Frozen Section Prediction Model for Spread Through Air Space in Lung Adenocarcinoma
NCT ID: NCT05400304
Last Updated: 2022-06-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
900 participants
OBSERVATIONAL
2022-07-01
2023-05-12
Brief Summary
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Detailed Description
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Therefore, the proposed project aims to develop and validate a multifactorial model combining radiomics with frozen section analysis to assesse Spread Through Air Space during surgery, which can provide decision-making support to therapeutic planning for early-stage lung adenocarcinomas.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Training dataset
No interventions
radiomics
The high-throughput extraction of large amounts of quantitative image features from medical images
External validation1
No interventions
radiomics
The high-throughput extraction of large amounts of quantitative image features from medical images
External validation2
No interventions
radiomics
The high-throughput extraction of large amounts of quantitative image features from medical images
Interventions
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radiomics
The high-throughput extraction of large amounts of quantitative image features from medical images
Eligibility Criteria
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Inclusion Criteria
2. preoperative standard non-enhanced CT is available
3. Pathologically confirmed
Exclusion Criteria
2. the time interval between the CT examination and surgery was more than two weeks
18 Years
75 Years
ALL
No
Sponsors
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
OTHER
Responsible Party
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Other Identifiers
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RFSTAS
Identifier Type: -
Identifier Source: org_study_id
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