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Related Experiment Video

Updated: Nov 16, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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Inter-Reader Variability of Volumetric Subsolid Pulmonary Nodule Radiomic Features.

Lea Azour1, William H Moore1, Thomas O'Donnell2

  • 1Department of Radiology, NYU Langone Health (L.A., W.H.M., J.B., J.P.K.).

Academic Radiology
|February 21, 2021
PubMed
Summary

Inter-observer consistency for subsolid pulmonary nodule radiomic features varies. Nodule morphology significantly impacts radiomic feature consistency and segmentation accuracy, with some features showing high reliability.

Keywords:
groundglasspulmonary nodulesradiomicssubsolidtexturevariability

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Area of Science:

  • Radiology
  • Medical Imaging
  • Pulmonary Nodule Analysis

Background:

  • Subsolid pulmonary nodules require accurate characterization for clinical management.
  • Radiomic features offer quantitative descriptors of nodules but their consistency is crucial.

Purpose of the Study:

  • To evaluate the inter-observer consistency of radiomic features extracted from subsolid pulmonary nodules.
  • To identify factors influencing the consistency and segmentation accuracy of these features.

Main Methods:

  • Two radiologists and an imaging fellow segmented 135 subsolid nodules from CT scans.
  • Radiomic features were extracted, and inter-observer consistency was assessed using coefficient of variation (CV).
  • Segmentation accuracy and influencing factors were analyzed using statistical methods.

Main Results:

  • Several radiomic features, including entropy and sphericity, demonstrated high inter-reader consistency (CV<5%).
  • Features like surface area and energy showed low consistency (CV>10%).
  • Nodule morphology (margin, shape, air bronchograms) and size significantly affected segmentation accuracy.

Conclusions:

  • Inter-observer consistency for subsolid pulmonary nodule radiomic features is variable.
  • Nodule morphology is a key determinant of radiomic feature consistency and segmentation accuracy.
  • Specific features like sphericity and entropy show promising reliability.