NCT05400304

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

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 900 (estimated)
• Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

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

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.

Conditions

• Lung Adenocarcinoma

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	radiomics	The high-throughput extraction of large amounts of quantitative image features from medical images

Timeline

• Start date: 2022-07-01
• Primary completion: 2023-05-01
• Completion: 2023-05-12
• First posted: 2022-06-01
• Last updated: 2022-06-29