ArticleSurgery today2021
Consolidation volume and integration of computed tomography values on three-dimensional computed tomography may predict pathological invasiveness in early lung adenocarcinoma.
Article in Surgery today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Study of Imaging Analysis for Distinguishing Alveolar Collapse From Invasive Lesions in Early-Stage Lung Adenocarcinoma.Thoracic cancer · 2026Article
- The value of interlobar fissure semilunar sign based on multifactor joint analysis in predicting the invasiveness of ground glass nodules with interlobar fissure attachment in the lungs.BMC pulmonary medicine · 2024Article
- Image fusion for intraoperative evaluation of microwave ablation in non-small cell lung cancer: a retrospective cohort study.Quantitative imaging in medicine and surgery · 2024Article
- [Comparison of Two-dimensional and Three-dimensional Features of Chest CT in the Diagnosis of Invasion of Pulmonary Ground Glass Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022Article
- Investigation of the Biological Properties of Non-small Cell Lung Cancer Using Three-dimensional Computed Tomography Images.Cancer diagnosis & prognosisArticle
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Abstract
purposeTo investigate the relationship between three-dimensional computed tomography (3D-CT) findings and pathological invasiveness in lung adenocarcinoma.
methodsWe retrospectively evaluated 95 patients who underwent surgical resection of lung adenocarcinoma of ≤ 20 mm. The diameters, volumes, and CT values of tumor consolidation were analyzed. We defined the modified CT value by setting air as 0 and water as 1000 and assumed a correlation with pathological invasiveness. Pre-invasive lesions and minimally invasive adenocarcinomas were classified as non-invasive adenocarcinoma. We compared the clinico-radiological features with pathological invasiveness. Receiver operator characteristic (ROC) curves and recurrence-free survival curves were constructed.
resultsTwenty-six non-invasive adenocarcinomas and 69 invasive adenocarcinomas were evaluated. The multivariate analysis revealed that the consolidation volume and the integration of modified CT values were the most important predictors of pathological invasion. The area under the ROC curve and the cut-off values of the consolidation volume were 0.868 and 75 mm
conclusionThe consolidation volume and integration of modified CT values were shown to be highly predictive of pathological invasiveness.
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