Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer

Abstract [18F]Fluorodeoxyglucose ([18F]FDG) Positron emission tomography/computed tomography (PET/CT) is commonly used for rectal cancer staging, but improved diagnostic methods for nodal metastases are needed. We aimed to evaluate whether the combination model of the metabolic tumor volume of prima...

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Autores principales:	Sung Hoon Kim, Bong-Il Song, Beong Woo Kim, Hae Won Kim, Kyoung Sook Won, Sung Uk Bae, Woon Kyung Jeong, Seong Kyu Baek
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/98058749fc3d446097945c739307b9fa
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spelling	oai:doaj.org-article:98058749fc3d446097945c739307b9fa2021-12-02T16:08:16ZPredictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer10.1038/s41598-019-41422-82045-2322https://doaj.org/article/98058749fc3d446097945c739307b9fa2019-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-41422-8https://doaj.org/toc/2045-2322Abstract [18F]Fluorodeoxyglucose ([18F]FDG) Positron emission tomography/computed tomography (PET/CT) is commonly used for rectal cancer staging, but improved diagnostic methods for nodal metastases are needed. We aimed to evaluate whether the combination model of the metabolic tumor volume of primary tumor (T_MTV) and maximum standardized uptake value of lymph node (N_SUVmax) on pretreatment [18F]FDG PET/CT could improve nodal metastases prediction in rectal cancer. We enrolled a total of 166 rectal cancer patients who underwent pretreatment [18F]FDG PET/CT and surgical resection without neoadjuvant treatment between January 2009 and August 2016. Visual and semiquantitative PET/CT parameters were obtained. Associations between clinicopathological, PET/CT-derived variables and nodal metastases were evaluated by logistic regression analysis. Nodal metastases were confirmed histologically in 68 of the 166 patients (41%). Uni- and multivariate analyses demonstrated T_MTV and N_SUVmax were independent predictive factors for nodal metastases. The c-statistics of the combination model was 0.806 (Standard Error, 0.034; 95% Confidence Interval, 0.737–0.863), which showed significant improvement compared to T_MTV (0.698, P = 0.0002) or N_SUVmax (0.720, P = 0.0008) alone. T_MTV and N_SUVmax are independently correlated with nodal metastases. Furthermore, the combination model showed improved performance for risk prediction; thus, [18F]FDG PET/CT might have a role in rectal cancer staging and treatment planning.Sung Hoon KimBong-Il SongBeong Woo KimHae Won KimKyoung Sook WonSung Uk BaeWoon Kyung JeongSeong Kyu BaekNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-7 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sung Hoon Kim Bong-Il Song Beong Woo Kim Hae Won Kim Kyoung Sook Won Sung Uk Bae Woon Kyung Jeong Seong Kyu Baek Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
description	Abstract [18F]Fluorodeoxyglucose ([18F]FDG) Positron emission tomography/computed tomography (PET/CT) is commonly used for rectal cancer staging, but improved diagnostic methods for nodal metastases are needed. We aimed to evaluate whether the combination model of the metabolic tumor volume of primary tumor (T_MTV) and maximum standardized uptake value of lymph node (N_SUVmax) on pretreatment [18F]FDG PET/CT could improve nodal metastases prediction in rectal cancer. We enrolled a total of 166 rectal cancer patients who underwent pretreatment [18F]FDG PET/CT and surgical resection without neoadjuvant treatment between January 2009 and August 2016. Visual and semiquantitative PET/CT parameters were obtained. Associations between clinicopathological, PET/CT-derived variables and nodal metastases were evaluated by logistic regression analysis. Nodal metastases were confirmed histologically in 68 of the 166 patients (41%). Uni- and multivariate analyses demonstrated T_MTV and N_SUVmax were independent predictive factors for nodal metastases. The c-statistics of the combination model was 0.806 (Standard Error, 0.034; 95% Confidence Interval, 0.737–0.863), which showed significant improvement compared to T_MTV (0.698, P = 0.0002) or N_SUVmax (0.720, P = 0.0008) alone. T_MTV and N_SUVmax are independently correlated with nodal metastases. Furthermore, the combination model showed improved performance for risk prediction; thus, [18F]FDG PET/CT might have a role in rectal cancer staging and treatment planning.
format	article
author	Sung Hoon Kim Bong-Il Song Beong Woo Kim Hae Won Kim Kyoung Sook Won Sung Uk Bae Woon Kyung Jeong Seong Kyu Baek
author_facet	Sung Hoon Kim Bong-Il Song Beong Woo Kim Hae Won Kim Kyoung Sook Won Sung Uk Bae Woon Kyung Jeong Seong Kyu Baek
author_sort	Sung Hoon Kim
title	Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
title_short	Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
title_full	Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
title_fullStr	Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
title_full_unstemmed	Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer
title_sort	predictive value of [18f]fdg pet/ct for lymph node metastasis in rectal cancer
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/98058749fc3d446097945c739307b9fa
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Predictive Value of [18F]FDG PET/CT for Lymph Node Metastasis in Rectal Cancer

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