2023 World Conference on Lung Cancer (Posters)-P1.16. Three Dimensional Volumetric Analysis Is Useful to Improve Diagnostic Accuracy in Early-Stage Lung Adenocarcinoma.

P1.16. Three Dimensional Volumetric Analysis Is Useful to Improve Diagnostic Accuracy in Early-Stage Lung Adenocarcinoma. - PDF(Slides)

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In a study conducted by Shinji Kaneda and colleagues at the Mie University Graduate School of Medicine in Japan, the predictive performance of CT imaging and 3D volumetric analysis for early-stage lung adenocarcinoma was compared. The study aimed to assess the potential of 3D volumetric analysis in improving the diagnostic accuracy of invasive lesions in lung adenocarcinoma.<br /><br />The researchers performed radiologic and pathologic revisions on 346 patients with resected primary lung cancer between January 2019 and December 2021. The TNM stage of the tumors was determined using the 8th edition of the TNM classification. The 3D volumetric analysis was performed using the SYNAPSE VINCENT software program. A SYNAPSE VINCENT computer workstation was used for the 3D imaging analysis.<br /><br />The results showed that compared to preinvasive lesion groups, invasive lesion groups exhibited higher consolidation diameter, C/T ratio, tumor volume, consolidation volume, and 3D C/T ratio. The consolidation volume and 3D C/T ratio were found to have higher predictive accuracy for invasive lesions than the consolidation diameter and C/T ratio.<br /><br />Further analysis showed that consolidation volume was the only predictor of invasive lesions, as determined by multivariate analysis. Pathological review of preinvasive lesions revealed that most of the solid components were due to alveolar collapse composed of elastic and collagen fibers within the tumors. The study also found that the tumor doubling time trended to be longer in preinvasive lesions.<br /><br />The study has certain limitations, including its retrospective nature and the possibility of differences in the delineation of consolidation size and whole tumor size on CT imaging. Intraoperative deflation may have also caused alveolar collapse. Nonetheless, the findings suggest that 3D volumetric analysis is more accurate than conventional 2D imaging analysis in predicting pathological invasive lesions in early-stage lung adenocarcinoma.

Asset Subtitle

Shinji Kaneda

Meta Tag

Speaker Shinji Kaneda

Topic Screening & Early Detection: Nodule Management

Keywords

CT imaging

3D volumetric analysis

lung adenocarcinoma

predictive performance

diagnostic accuracy

invasive lesions

TNM classification

SYNAPSE VINCENT software program

consolidation volume

multivariate analysis