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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05400304

Enrollment

900

Registered

2022-06-01

Start date

2022-07-01

Completion date

2023-05-12

Last updated

2022-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Adenocarcinoma

Keywords

Spread Through Air Space, radiomics, frozen section, Prediction Model

Brief 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.

Interventions

DIAGNOSTIC_TESTradiomics

The high-throughput extraction of large amounts of quantitative image features from medical images

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 75 Years

Healthy volunteers

Inclusion criteria

1. intraoperative frozen section diagnosis and final pathology diagnosis are available 2. preoperative standard non-enhanced CT is available 3. Pathologically confirmed

Exclusion criteria

1. with a previous history of radiation therapy, chemotherapy or biopsy 2. the time interval between the CT examination and surgery was more than two weeks

Design outcomes

Primary

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

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026