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Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer

BACKGROUND: Patients with small-sized peripheral non-small cell lung cancer (NSCLC), but without lymph node metastasis, may be optimal candidates for sublobar resection. We aim to identify the predictors of occult lymph node metastasis (OLNM) using F-18 fluorodeoxyglucose positron emission tomograph...

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Autores principales: Park, Seong Yong, Yoon, Joon-Kee, Park, Kwang Joo, Lee, Su Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689054/
https://www.ncbi.nlm.nih.gov/pubmed/26694918
http://dx.doi.org/10.1186/s40644-015-0058-9
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author Park, Seong Yong
Yoon, Joon-Kee
Park, Kwang Joo
Lee, Su Jin
author_facet Park, Seong Yong
Yoon, Joon-Kee
Park, Kwang Joo
Lee, Su Jin
author_sort Park, Seong Yong
collection PubMed
description BACKGROUND: Patients with small-sized peripheral non-small cell lung cancer (NSCLC), but without lymph node metastasis, may be optimal candidates for sublobar resection. We aim to identify the predictors of occult lymph node metastasis (OLNM) using F-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) in clinically node-negative, small-sized NSCLC. METHODS: One hundred thirty nine patients with small-sized NSCLC (of less than 3 cm in diameter) who underwent surgical resection with mediastinal lymph node dissection were evaluated. The maximum standardized uptake value (SUVmax), metabolic total volume (MTV) and total lesion glycolysis (TLG) of the primary tumor were measured on pretreatment PET/CT. These metabolic parameters and pathological variables were analyzed for OLNM. RESULTS: The mean tumor size was 2.11 ± 0.63 cm, and the mean number of dissected lymph nodes was 19.74 ± 12.86. Adenocarcinoma occurred in 106 patients (76.3 %). Twenty-four patients (17.2 %) had lymph node metastasis. The mean SUVmax, MTV and TLG were 4.61 ± 3.99 (0.5 ~ 17.8), 4.18 ± 6.39 (0 ~ 34.6) and 16.13 ± 28.86 (0 ~ 164.2), respectively. On receiver operating characteristic (ROC) curve analysis, the areas under the curve (AUC) for SUVmax, MTV and TLG for node metastasis were 0.753, 0.783 and 0.775, respectively. On multivariate analysis, SUVmax (Odds ratio [OR] = 1.120, p = 0.044) and MTV (OR = 1.117, p = 0.007) were found to be risk factors for OLNM. The concordance index of MTV was 0.763, which was slightly higher than that of SUVmax. CONCLUSION: SUVmax and volume-based parameters are significant risk factors for OLNM in small peripheral NSCLC. MTV showed a better predictive performance than that of the other PET parameters; therefore, MTV may be a possible indicator for sublobar resection in clinically node-negative small-sized NSCLC.
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spelling pubmed-46890542015-12-24 Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer Park, Seong Yong Yoon, Joon-Kee Park, Kwang Joo Lee, Su Jin Cancer Imaging Research Article BACKGROUND: Patients with small-sized peripheral non-small cell lung cancer (NSCLC), but without lymph node metastasis, may be optimal candidates for sublobar resection. We aim to identify the predictors of occult lymph node metastasis (OLNM) using F-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) in clinically node-negative, small-sized NSCLC. METHODS: One hundred thirty nine patients with small-sized NSCLC (of less than 3 cm in diameter) who underwent surgical resection with mediastinal lymph node dissection were evaluated. The maximum standardized uptake value (SUVmax), metabolic total volume (MTV) and total lesion glycolysis (TLG) of the primary tumor were measured on pretreatment PET/CT. These metabolic parameters and pathological variables were analyzed for OLNM. RESULTS: The mean tumor size was 2.11 ± 0.63 cm, and the mean number of dissected lymph nodes was 19.74 ± 12.86. Adenocarcinoma occurred in 106 patients (76.3 %). Twenty-four patients (17.2 %) had lymph node metastasis. The mean SUVmax, MTV and TLG were 4.61 ± 3.99 (0.5 ~ 17.8), 4.18 ± 6.39 (0 ~ 34.6) and 16.13 ± 28.86 (0 ~ 164.2), respectively. On receiver operating characteristic (ROC) curve analysis, the areas under the curve (AUC) for SUVmax, MTV and TLG for node metastasis were 0.753, 0.783 and 0.775, respectively. On multivariate analysis, SUVmax (Odds ratio [OR] = 1.120, p = 0.044) and MTV (OR = 1.117, p = 0.007) were found to be risk factors for OLNM. The concordance index of MTV was 0.763, which was slightly higher than that of SUVmax. CONCLUSION: SUVmax and volume-based parameters are significant risk factors for OLNM in small peripheral NSCLC. MTV showed a better predictive performance than that of the other PET parameters; therefore, MTV may be a possible indicator for sublobar resection in clinically node-negative small-sized NSCLC. BioMed Central 2015-12-22 /pmc/articles/PMC4689054/ /pubmed/26694918 http://dx.doi.org/10.1186/s40644-015-0058-9 Text en © Park et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Park, Seong Yong
Yoon, Joon-Kee
Park, Kwang Joo
Lee, Su Jin
Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title_full Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title_fullStr Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title_full_unstemmed Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title_short Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer
title_sort prediction of occult lymph node metastasis using volume-based pet parameters in small-sized peripheral non-small cell lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689054/
https://www.ncbi.nlm.nih.gov/pubmed/26694918
http://dx.doi.org/10.1186/s40644-015-0058-9
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