Radiomics Combined With Frozen Section Prediction Model for Spread Through Air Space in Lung Adenocarcinoma

Study Overview
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Brief Summary
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a multifactorial model combining radiomics with frozen section analysis is a potential biomarker for assessing Spread Through Air Space during surgery, which can provide decision-making support to therapeutic planning for early-stage lung adenocarcinomas.

Detailed Description
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Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. Its preoperative assessment could thus be useful to customize surgical treatment. Radiomics and frozen section haave been recently proposed to predict STAS in patients with lung adenocarcinoma. Radiomics-based Prediction Model is highly sensitive but not specific for STAS detection. While, frozen section is highly specific but not sensitive for STAS detection in early lung adenocarcinomas. 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.

Official Title
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Preoperative CT-based Radiomics Combined With Intraoperative Frozen Section is Predictive of Spread Through Air Space in Early Lung Adenocarcinoma

Conditions
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Lung Adenocarcinoma

Intervention / Treatment
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* Diagnostic Test: radiomics


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: intraoperative frozen section diagnosis and final pathology diagnosis are available preoperative standard non-enhanced CT is available Pathologically confirmed Exclusion Criteria: with a previous history of radiation therapy, chemotherapy or biopsy the time interval between the CT examination and surgery was more than two weeks

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 75 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Training dataset<br>No interventions | Diagnostic Test: radiomics<br>* The high-throughput extraction of large amounts of quantitative image features from medical images<br>|
| External validation1<br>No interventions | Diagnostic Test: radiomics<br>* The high-throughput extraction of large amounts of quantitative image features from medical images<br>|
| External validation2<br>No interventions | Diagnostic Test: radiomics<br>* The high-throughput extraction of large amounts of quantitative image features from medical images<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Sensitivity | Testing the sensitivity of Radiomics to predict STAS using the area under receiver operating characteristic curve | 24 hour before operation | 
| Specificity | Testing the specificity of Radiomics to predict STAS using the area under receiver operating characteristic curve | 24 hour before operation | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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radiomics, Spread Through Air Space, frozen section, Prediction Model