AI Article Synopsis

  • The study aimed to assess how effective 18F-FDG PET/CT imaging is in diagnosing different stages of lung adenocarcinoma in infiltrative subsolid nodules and to identify predictive factors for invasive adenocarcinoma.
  • A retrospective analysis of 170 surgically confirmed lung adenocarcinoma cases revealed that characteristics like nodule size, spiculation, and metabolic parameters differed significantly across preinvasive, microinvasive, and invasive lesions.
  • Key predictive factors for invasive adenocarcinoma were found to be nodule composition, size, and maximum standardized uptake ratio, suggesting that specific imaging features could help in early diagnosis and intervention.*

Article Abstract

Purpose: To investigate the diagnostic value of 18 F-fluorodeoxyglucose(FDG) PET/computed tomography (CT) for infiltrative subsolid nodules at different stages of lung adenocarcinoma and to explore predictive factors for invasive adenocarcinoma, providing compelling evidence for timely intervention.

Methods: A retrospective analysis was conducted on PET/CT imaging data of 170 subsolid nodules lesions confirmed postoperatively as lung adenocarcinoma or precursor glandular lesions. Lesions were categorized into preinvasive lesions including atypical adenomatous hyperplasia and adenocarcinoma in situ, microinvasive adenocarcinoma, and invasive adenocarcinoma. Compared the differences in imaging features and metabolic parameters among different groups and used a multifactor logistic regression model and receiver operating characteristic curve analysis to identify predictive factors for invasive adenocarcinoma.

Results: From preinvasive lesions through microinvasive adenocarcinoma to invasive adenocarcinoma, there was a gradual increase in nodule diameter, nodule area, and proportion of part-solid nodule. Statistical significance ( P  < 0.05) was observed in the rates of spiculation and pleural indentation between preinvasive lesions versus microinvasive adenocarcinoma and invasive adenocarcinoma groups. The maximum standardized uptake value and maximum standardized uptake ratio show statistically significant differences ( P  < 0.05) between the invasive adenocarcinoma group and the other groups. Logistic regression analysis indicated that nodule composition, nodule diameter, and maximum standardized uptake ratio were predictive factors for invasive adenocarcinoma ( P  < 0.05). For part-solid nodules, the longest diameter of the solid component has a high diagnostic value.

Conclusion: The imaging features of 18 F-FDG PET/CT contribute to the diagnosis of infiltrative subsolid nodules at different stages of lung adenocarcinoma, providing robust evidence for timely intervention.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537473PMC
http://dx.doi.org/10.1097/MNM.0000000000001908DOI Listing

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