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(Abstract)

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In this study presented at the WCLC 2023 conference, the authors aimed to compare the use of CT imaging and 3D volumetric analysis for predicting the presence of invasive lesions in early-stage lung adenocarcinoma. They analyzed data from 71 patients with preoperatively diagnosed stage IA1 adenocarcinoma, dividing them into two groups: preinvasive lesions and invasive lesions. The researchers calculated the 3D-C/T ratio, which divided the consolidation volume by the entire tumor volume, using a software program. They also reviewed the pathological characteristics of the preinvasive lesions. <br /><br />The results showed that the consolidation volume was the only predictor of invasive lesions, as determined by multivariate logistic regression analysis. The cutoffs for differentiating between preinvasive and invasive lesions were determined using ROC analysis. The diagnostic performance of the consolidation diameter, consolidation volume, C/T ratio, and 3D-C/T ratio was evaluated, with AUC values of 0.694, 0.808, 0.587, and 0.749 respectively. The analysis of the preinvasive lesion group revealed that the solid components were mainly due to alveolar collapse, composed of elastic and collagen fibers. <br /><br />The authors also followed up with 21 patients for more than one year and found that two patients had no change in tumor area and eight patients had no change in tumor consolidation area. The mean follow-up period was 1944 days and the tumor doubling time was 959 days. The tumor doubling time of the consolidation area was 689 days.<br /><br />Based on their findings, the authors concluded that the solid components in preinvasive lesions are primarily due to alveolar collapse with elastic and collagen fibers, and the doubling time of these lesions tends to be longer. They also suggested that 3D volumetric analysis is more accurate than conventional 2D imaging analysis for predicting 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

invasive lesions

early-stage lung adenocarcinoma

preinvasive lesions

consolidation volume

3D-C/T ratio

multivariate logistic regression analysis

ROC analysis

tumor doubling time