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BACKGROUND: Volume doubling time (VDT) has been proven to be a powerful predictor of lung cancer progression. In non-small cell lung cancer patients receiving sublobar resection, the discussion of correlation between VDT and surgery was absent. We proposed to investigate the surgical outcomes according to VDT. METHODS: We retrospectively studied 96 cases post sublobar resection from 2012 to 2018, collecting two chest CT scans preoperatively of each case and calculating the VDT. The receiver operating characteristic curve was constructed to identify the optimal cut-off point of VDTs as 133 days. We divided patients into two groups: VDT < 133 days and VDT ≥ 133 days. Univariable and multivariable analyses were performed for comparative purposes. RESULTS: Univariable and multivariable analyses revealed that the consolidation and tumor diameter ratio was the factor of overall survival (OS), and VDT was the only factor of disease-free survival (DFS). The five year OS rates of patients with VDTs ≥ 133 days and VDTs < 133 days, respectively, were 89.9% and 71.9%, and the five year DFS rates were 95.9% and 61.5%. CONCLUSION: As VDT serves as a powerful prognostic predictor and provides an essential role in planning surgical procedures, the evaluation of VDT preoperatively is highly suggested.
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BACKGROUND: The objective of our study was to assess if 3D reconstructed images could be extrapolated to reflect pathologies, as evaluated by early-stage lung adenocarcinoma tumor size and simulated segmentectomy resection margin. METHODS: Retrospectively selected patients (n = 18) who underwent segmentectomy at Changhua Christian Hospital between 2012 and 2018 and then had pulmonary 3D reconstruction using Ziostation2 were included in our study. Tumor size and simulated segmentectomy resection distance on a 3D model were measure and compared to pathology. RESULTS: Both tumor size and segmentectomy resection margin showed positive correlations between 3D image measurements and pathological measurements. The resection margin showed a stronger correlation and was beneficial in pre-operative planning. CONCLUSIONS: A 3D reconstructed model aided understanding of pulmonary anatomy, prompting confidence in surgical approaches and ensured segmentectomy outcome success. Regardless of age and pulmonary function, 3D simulation can accurately mimic segmentectomy, making it a simple, effective and feasible pre-operative planning tool.
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BACKGROUND: One challenging aspect of video-assisted thoracoscopic surgery (VATS) is finding the small pulmonary lung nodules for resection. Pre-operative localization of nodules is important for resection. Recently, image-guided VATS (iVATS) in a hybrid room has received attention. Our study aims to compare pros and cons between traditional CT room localization and iVATS localization with Artis Pheno. METHODS: This study was a retrospective analysis in our institute (Changhua Christian Hospital, Changhua). Patients with pulmonary nodules who received localization between January 2018 and December 2018 were included in the study. There were 126 patients included in the study. Among these, 63 patients received localization in a CT room and the other 63 patients received iVATS. We measured the time from localization to skin incision, success rate, complication rate, operation time, blood loss and length of hospital stay. RESULTS: Time from localization to skin incision was significantly shorter in the iVATS group than in the CT room group (23.57 vs. 372.11 min, P<0.001). The CT room group had a significantly higher complication rate than the iVATS group (n=49, 77.8% vs. n=2, 3.2%, P<0.001). There were no significant differences in operation methods, operation time, blood loss and length of hospital stay. CONCLUSIONS: iVATS provides shorter time from localization to skin incision and fewer complications than CT room localization.
