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Inconsistent CT NSCLC radiomics associated with feature selection methods, predictive models and related factors.

Gary Ge1, Azmul Siddique1, Jie Zhang1

  • 1Department of Radiology, University of Kentucky, Lexington, KY 40536, United States of America.

Physics in Medicine and Biology
|April 18, 2023
PubMed
Summary

Radiomic analysis of non-small cell lung cancer (NSCLC) using CT scans shows inconsistent results due to varied feature selection and predictive models. These variations impact reliability, highlighting the need for standardization in radiomic studies.

Keywords:
NSCLCfeature selection methodlung cancerpredictive modelradiomics

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Area of Science:

  • Radiomics and Medical Imaging
  • Oncology and Cancer Research
  • Computational Biology and Bioinformatics

Background:

  • Computed tomography (CT)-based radiomics shows promise for non-small cell lung cancer (NSCLC) prognostication.
  • However, uncertainties related to feature selection and predictive modeling may affect the reliability of radiomic studies.

Purpose of the Study:

  • To investigate the impact of feature selection methods, predictive models, and cohort characteristics on CT-based NSCLC radiomics.
  • To identify factors contributing to variability and potential inconsistencies in radiomic analysis.

Main Methods:

  • Retrospective analysis of CT images from 496 pre-treatment NSCLC patients.
  • Radiomic features extracted using IBEX; five feature selection methods and seven predictive models were evaluated.
  • Impact of cohort size (25%, 50%, 75%) and composition on feature selection and model performance (AUC) assessed.

Main Results:

  • Feature selection results were inconsistent and dependent on cohort size and composition.
  • Only 16 out of 2100 tested combinations achieved an Area Under the Curve (AUC) > 0.65.
  • Significant variability observed, indicating no clear standardized approach for reliable CT NSCLC radiomics.

Conclusions:

  • The choice of feature selection methods and predictive models significantly influences NSCLC radiomic study outcomes.
  • Inconsistencies underscore the need for further investigation into standardization to enhance the reliability of radiomic biomarkers.
  • Addressing these uncertainties is crucial for the clinical translation of CT-based radiomics in NSCLC.