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Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas
Julien G Cohen1,2, Jin Mo Goo3,4, Roh-Eul Yoo1
1Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.
European Radiology
|April 7, 2016
Summary
Software effectively segments ground-glass and solid components in subsolid pulmonary adenocarcinomas, showing no significant difference compared to pathology measurements.
Area of Science:
- Radiology
- Pulmonary Medicine
- Medical Imaging Analysis
Background:
- Subsolid nodules in pulmonary adenocarcinomas present diagnostic challenges.
- Accurate segmentation of ground-glass and solid components is crucial for characterization.
Purpose of the Study:
- To evaluate the performance of image analysis software in segmenting subsolid nodule components.
- To compare software-based segmentation with manual measurements and pathological findings.
Main Methods:
- Seventy-three pulmonary adenocarcinomas with subsolid nodules were analyzed.
- Software applied attenuation thresholds for segmentation.
- Manual and software measurements were compared with pathology data.
Main Results:
- Software segmentation of ground-glass components showed minimal difference compared to pathology.
- Software and manual measurements for solid components demonstrated no significant difference from pathology.
- Manual measurements on lung windows were more accurate than on mediastinal windows.
Conclusions:
- Software provides effective segmentation of ground-glass and solid components in subsolid nodules.
- Software-based measurements correlate well with pathological findings.
- Manual measurements on lung windows are preferred for solid component assessment.
