ArticleGeneral thoracic and cardiovascular surgery2025
Enhancing identification of early-stage lung adenocarcinomas through solid component analysis of three-dimensional computed tomography images.
Article in General thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Head-to-head comparison of maximum standardized uptake value and three-dimensional consolidation-to-tumor ratio for preoperative prediction of International Association for the Study of Lung Cancer grade 3 in clinical stage IA invasive lung adenocarcinoma.Journal of thoracic disease · 2026Article
- Indications for segmentectomy in early-stage lung cancer based on solid volume analysis using three-dimensional computed tomography.General thoracic and cardiovascular surgery · 2026Article
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6 authors.
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Abstract
objectivesAs the role of segmentectomy expands in managing early-stage lung adenocarcinoma, precise preoperative assessments of tumor invasiveness via computed tomography become crucial. This study aimed to evaluate the effectiveness of solid component analysis of three-dimensional (3D) computed tomography images and establish segmentectomy criteria for early-stage lung adenocarcinomas.
methodsThis retrospective study included 101 cases with adenocarcinoma diagnoses, with patients undergoing segmentectomy for clinical stage 0 or IA between 2012 and 2017. The solid component volume (3D-volume) and solid component ratio (3D-ratio) of tumors were calculated using 3D computed tomography. Additionally, based on two-dimensional (2D) computed tomography, the solid component diameter (2D-diameter) and solid component ratio (2D-ratio) were calculated. The area under the receiver-operating characteristic curve (AUC) was calculated for each method, facilitating predictions of mortality and recurrence within 5 years. The AUC of each measurement was compared with those of invasive component diameter (path-diameter) and invasive component ratio (path-ratio) obtained through pathology analysis.
resultsThe predictive performance of 3D-volume did not differ significantly from that of path-diameter, whereas 2D-diameter exhibited less predictive accuracy (AUC: 3D-volume, 2D-diameter, and path-diameter: 0.772, 0.624, and 0.747, respectively; 3D-volume vs. path-diameter: p = 0.697; 2D-diameter vs. path-diameter: p = 0.048). Results were similar for the solid component ratio (AUC: 3D-ratio, 2D-ratio, path-ratio: 0.707, 0.534, and 0.698, respectively; 3D-ratio vs. path-ratio: p = 0.882; 2D-ratio vs. path-ratio: p = 0.038).
conclusionSolid component analysis using 3D computed tomography offers advantages in prognostic prediction for early-stage lung adenocarcinomas.
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