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Development of a PET-CT Based Radiomics Model for Preoperative Prediction of the Novel IASLC Grading and Prognosis in Patients with Clinical Stage I Pure Solid Invasive Lung Adenocarcinoma

  • 0Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (J.L., H.W., B.X., S.M., Y.C., Z.X., J.X., L.S., S.C., X.Z., X.Z.).
Academic Radiology +

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March 22, 2025

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March 22, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

A new radiomics nomogram using fluorine-18-fludeoxyglucose (18F-FDG) PET/CT can predict International Association for the Study of Lung Cancer (IASLC) grade and recurrence-free survival (RFS) in patients with lung adenocarcinoma.

Area Of Science

  • Oncology
  • Radiology
  • Medical Imaging

Background

  • Lung adenocarcinoma (LADC) diagnosis and staging are critical for treatment planning.
  • Accurate preoperative grading and survival prediction are essential for clinical stage I pure-solid LADC.
  • Current methods may not fully capture prognostic information.

Purpose Of The Study

  • To develop and validate a 18F-FDG PET/CT-based radiomics nomogram.
  • To predict the IASLC grading and recurrence-free survival (RFS) in patients with clinical stage I pure-solid invasive LADC.
  • To assess the nomogram's predictive performance compared to traditional models.

Main Methods

  • Retrospective analysis of 418 patients with clinical stage I pure-solid invasive LADC.
  • Extraction of radiomics features from preoperative 18F-FDG PET/CT images.
  • Development of a predictive nomogram integrating radiomics, clinical, and radiological features.

Main Results

  • The radiomics model achieved AUCs of 0.838 (training) and 0.768 (testing).
  • Higher SUVmax and cavity presence were independent risk factors for IASLC grading.
  • The integrated nomogram significantly stratified patients for RFS (p<0.001).

Conclusions

  • A preoperative PET/CT-based radiomics nomogram is a promising biomarker.
  • It aids in predicting IASLC grade and RFS for clinical stage I pure-solid invasive LADC.
  • This tool can improve preoperative risk stratification and treatment decisions.

Keywords: