Correlation between [18F]-FDG PET/CT findings and pathological subtypes of lung adenocarcinoma presenting as ground-glass opacity
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View abstract on PubMed
Summary
This summary is machine-generated.Positron emission tomography/computed tomography (PET/CT) findings like SUVmax and lesion size correlate with lung adenocarcinoma subtypes. These [18F]-FDG PET/CT metrics can help evaluate prognosis in patients with ground-glass opacity (GGO) lung adenocarcinoma.
Area Of Science
- Oncology
- Radiology
- Pathology
Background
- Lung adenocarcinoma with ground-glass opacity (GGO) presents diagnostic challenges.
- Accurate pathological subtyping is crucial for prognosis and treatment planning.
- Non-invasive imaging biomarkers are needed to complement pathological assessment.
Purpose Of The Study
- To investigate the correlation between [18F]-FDG PET/CT imaging features and pathological subtypes of lung adenocarcinoma manifesting as GGO.
- To determine if quantitative PET/CT parameters can predict the prognosis of GGO lung adenocarcinoma.
Main Methods
- Retrospective analysis of 90 GGO lesions from 88 patients diagnosed with lung adenocarcinoma who underwent [18F]-FDG PET/CT.
- Measurement of lesion size and maximum standardized uptake value (SUVmax).
- Calculation of the proportion of solid components and quantitative classification of GGO lesions based on the 2011 IASLC/ATS/ERS classification into good, relatively good, and poor prognosis groups.
Main Results
- A significant negative correlation was observed between SUVmax and quantitative classification value (r = -0.638, P < 0.001).
- Significant differences in GGO lesion size, SUVmax, and quantitative classification values were found across various pathological subtypes (e.g., Atypical adenomatous hyperplasia, Acinar predominant adenocarcinoma, Lepidic predominant adenocarcinoma, Papillary predominant adenocarcinoma, Solid predominant adenocarcinoma).
- Distinct differences in GGO lesion size, SUVmax, and quantitative classification values were identified among the good, relatively good, and poor prognosis groups.
Conclusions
- [18F]-FDG PET/CT metrics, including GGO lesion size, SUVmax, and quantitative classification value, are significantly correlated with different pathological subtypes of lung adenocarcinoma.
- These imaging parameters show potential as non-invasive tools for evaluating the prognosis of lung adenocarcinoma with GGO.
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