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Differentiation Between Heterogeneous GGN and Part-Solid Nodule Using 2 D Grayscale Histogram Analysis of
Hirofumi Koike1, Kazuto Ashizawa2, Shin Tsutsui1
1Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Clinical Lung Cancer
|July 5, 2023
Summary
Grayscale histogram analysis of thin-section computed tomography effectively differentiates heterogeneous ground-glass nodules from part-solid nodules in pulmonary adenocarcinoma. This quantitative method aids in distinguishing invasive from minimally invasive or in situ adenocarcinoma subtypes.
Area of Science:
- Radiology
- Pulmonary Medicine
- Oncology
Background:
- Pulmonary adenocarcinoma presents as heterogeneous ground-glass nodules (HGGNs) or part-solid nodules (PSNs).
- Distinguishing between HGGNs and PSNs, and between invasive adenocarcinoma (IVA) and less advanced stages (MIA+AIS), is crucial for treatment planning.
Purpose of the Study:
- To evaluate surgically resected pulmonary adenocarcinomas with HGGNs and PSNs.
- To clarify differences between HGGNs and PSNs using quantitative CT analysis.
- To differentiate between IVA and MIA+AIS using grayscale histogram analysis.
Main Methods:
- Retrospective analysis of 241 pulmonary adenocarcinoma cases.
- Classification of nodules into HGGNs and PSNs by three thoracic radiologists.
- Application of grayscale histogram analysis on thin-section computed tomography (TSCT) images.
Main Results:
- Significant differences in various histogram parameters (area, solid component size, CT values, texture features) were found between HGGNs and PSNs.
- Histograms also revealed significant differences between IVA and MIA+AIS within both HGGN and PSN groups.
- Quantitative CT analysis demonstrated clear distinctions based on nodule type and pathological invasiveness.
Conclusions:
- Grayscale histogram analysis is effective in distinguishing between HGGNs and PSNs.
- This quantitative approach may assist in estimating the pathological invasiveness of pulmonary adenocarcinoma nodules.
- TSCT histogram analysis offers valuable insights for differentiating pulmonary adenocarcinoma subtypes.

