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Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer

SIMPLE SUMMARY: We aimed to investigate if VDT could be applied as a predictor of clinical outcome in segmentectomy and wedge resection. We retrospectively studied 96 NSCLC patients post sublobar resection from 2012 to 2018, collecting two chest CT scans preoperatively of each case and calculating V...

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Autores principales: Liu, Chia-Chi, Cheng, Ya-Fu, Ke, Pei-Cing, Chen, Yi-Ling, Lin, Ching-Min, Wang, Bing-Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417538/
https://www.ncbi.nlm.nih.gov/pubmed/37568768
http://dx.doi.org/10.3390/cancers15153952
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author Liu, Chia-Chi
Cheng, Ya-Fu
Ke, Pei-Cing
Chen, Yi-Ling
Lin, Ching-Min
Wang, Bing-Yen
author_facet Liu, Chia-Chi
Cheng, Ya-Fu
Ke, Pei-Cing
Chen, Yi-Ling
Lin, Ching-Min
Wang, Bing-Yen
author_sort Liu, Chia-Chi
collection PubMed
description SIMPLE SUMMARY: We aimed to investigate if VDT could be applied as a predictor of clinical outcome in segmentectomy and wedge resection. We retrospectively studied 96 NSCLC patients post sublobar resection from 2012 to 2018, collecting two chest CT scans preoperatively of each case and calculating 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 (n = 22) and VDT ≥ 133 days (n = 74). Univariable and multivariable analyses were performed for comparative purposes. Our study demonstrated that the five year OS rates of patients with VDTs ≧ 133 days and VDTs < 133 days, respectively, were 89.9% and 71.9% (p = 0.003), and the five year DFS rates were 95.9% and 61.5% (p = 0.002). Thus, we concluded that VDT can be a powerful prognostic predictor and provides an essential role in planning surgical procedures. ABSTRACT: 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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spelling pubmed-104175382023-08-12 Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer Liu, Chia-Chi Cheng, Ya-Fu Ke, Pei-Cing Chen, Yi-Ling Lin, Ching-Min Wang, Bing-Yen Cancers (Basel) Article SIMPLE SUMMARY: We aimed to investigate if VDT could be applied as a predictor of clinical outcome in segmentectomy and wedge resection. We retrospectively studied 96 NSCLC patients post sublobar resection from 2012 to 2018, collecting two chest CT scans preoperatively of each case and calculating 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 (n = 22) and VDT ≥ 133 days (n = 74). Univariable and multivariable analyses were performed for comparative purposes. Our study demonstrated that the five year OS rates of patients with VDTs ≧ 133 days and VDTs < 133 days, respectively, were 89.9% and 71.9% (p = 0.003), and the five year DFS rates were 95.9% and 61.5% (p = 0.002). Thus, we concluded that VDT can be a powerful prognostic predictor and provides an essential role in planning surgical procedures. ABSTRACT: 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. MDPI 2023-08-03 /pmc/articles/PMC10417538/ /pubmed/37568768 http://dx.doi.org/10.3390/cancers15153952 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Chia-Chi
Cheng, Ya-Fu
Ke, Pei-Cing
Chen, Yi-Ling
Lin, Ching-Min
Wang, Bing-Yen
Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title_full Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title_fullStr Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title_full_unstemmed Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title_short Prediction of Surgical Outcome by Tumor Volume Doubling Time via Stereo Imaging Software in Early Non-Small Cell Lung Cancer
title_sort prediction of surgical outcome by tumor volume doubling time via stereo imaging software in early non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417538/
https://www.ncbi.nlm.nih.gov/pubmed/37568768
http://dx.doi.org/10.3390/cancers15153952
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