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Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis

The purpose of our study was to evaluate the association between metabolic parameters on FDG PET/CT and axillary lymph node metastasis (ALNM) in patients with invasive breast cancer. From January 2012 to December 2012, we analyzed 173 patients with invasive ductal carcinoma (IDC) who underwent both...

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Autores principales: An, Young-Sil, Kang, Doo Kyoung, Jung, Yongsik, Kim, Tae Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690765/
https://www.ncbi.nlm.nih.gov/pubmed/29137072
http://dx.doi.org/10.1097/MD.0000000000008557
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author An, Young-Sil
Kang, Doo Kyoung
Jung, Yongsik
Kim, Tae Hee
author_facet An, Young-Sil
Kang, Doo Kyoung
Jung, Yongsik
Kim, Tae Hee
author_sort An, Young-Sil
collection PubMed
description The purpose of our study was to evaluate the association between metabolic parameters on FDG PET/CT and axillary lymph node metastasis (ALNM) in patients with invasive breast cancer. From January 2012 to December 2012, we analyzed 173 patients with invasive ductal carcinoma (IDC) who underwent both initial breast magnetic resonance imaging (MRI) and (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) examinations. All metabolic parameters were measured from the tumor volume segmented by a gradient-based method. Once the primary target lesion was segmented, maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were calculated automatically by the MIMvista software. Mean age of 173 patients was 49 years. Of 173 patients, 45 (26%) showed ALNM. On univariate analysis, larger tumor size (>2.2 cm; P = .002), presence of lymphovascular invasion (P < .001), higher SUVmax (>2.82; P = .038), higher SUVmean (>1.2; P = .027), higher MTV (>2.38; P < .001), and higher TLG (>3.98; P = .007) were associated with a higher probability of ALNM. On multivariate analysis, presence of lymphovascular invasion (adjusted odds ratio [OR], 11.053; 95% CI, 4.403–27.751; P < .001) and higher MTV (>2.38) (adjusted OR, 2.696; 95% CI, 1.079–6.739; P = .034) maintained independent significance in predicting ALNM. In subgroup analysis of T2/T3 breast cancer, lymphovascular invasion (adjusted OR, 20.976; 95% CI, 5.431–81.010; P < .001) and higher MTV (>2.38) (adjusted OR, 4.906; 95% CI, 1.616–14.896; P = .005) were independent predictors of ALNM. However in T1 breast cancer, lymphovascular invasion (adjusted OR, 16.096; 95% CI, 2.517–102.939; P = .003) and larger SUV mean (>1.2) (adjusted OR, 13.275; 95% CI, 1.233–142.908; P = .033) were independent predictors while MTV was not. MTV may be associated with ALNM in patients with invasive breast cancer, particularly T2 and T3 stages. In T1 breast cancer, SUVmean was associated with ALNM.
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spelling pubmed-56907652017-11-28 Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis An, Young-Sil Kang, Doo Kyoung Jung, Yongsik Kim, Tae Hee Medicine (Baltimore) 5750 The purpose of our study was to evaluate the association between metabolic parameters on FDG PET/CT and axillary lymph node metastasis (ALNM) in patients with invasive breast cancer. From January 2012 to December 2012, we analyzed 173 patients with invasive ductal carcinoma (IDC) who underwent both initial breast magnetic resonance imaging (MRI) and (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) examinations. All metabolic parameters were measured from the tumor volume segmented by a gradient-based method. Once the primary target lesion was segmented, maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were calculated automatically by the MIMvista software. Mean age of 173 patients was 49 years. Of 173 patients, 45 (26%) showed ALNM. On univariate analysis, larger tumor size (>2.2 cm; P = .002), presence of lymphovascular invasion (P < .001), higher SUVmax (>2.82; P = .038), higher SUVmean (>1.2; P = .027), higher MTV (>2.38; P < .001), and higher TLG (>3.98; P = .007) were associated with a higher probability of ALNM. On multivariate analysis, presence of lymphovascular invasion (adjusted odds ratio [OR], 11.053; 95% CI, 4.403–27.751; P < .001) and higher MTV (>2.38) (adjusted OR, 2.696; 95% CI, 1.079–6.739; P = .034) maintained independent significance in predicting ALNM. In subgroup analysis of T2/T3 breast cancer, lymphovascular invasion (adjusted OR, 20.976; 95% CI, 5.431–81.010; P < .001) and higher MTV (>2.38) (adjusted OR, 4.906; 95% CI, 1.616–14.896; P = .005) were independent predictors of ALNM. However in T1 breast cancer, lymphovascular invasion (adjusted OR, 16.096; 95% CI, 2.517–102.939; P = .003) and larger SUV mean (>1.2) (adjusted OR, 13.275; 95% CI, 1.233–142.908; P = .033) were independent predictors while MTV was not. MTV may be associated with ALNM in patients with invasive breast cancer, particularly T2 and T3 stages. In T1 breast cancer, SUVmean was associated with ALNM. Wolters Kluwer Health 2017-11-10 /pmc/articles/PMC5690765/ /pubmed/29137072 http://dx.doi.org/10.1097/MD.0000000000008557 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 5750
An, Young-Sil
Kang, Doo Kyoung
Jung, Yongsik
Kim, Tae Hee
Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title_full Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title_fullStr Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title_full_unstemmed Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title_short Volume-based metabolic parameter of breast cancer on preoperative (18)F-FDG PET/CT could predict axillary lymph node metastasis
title_sort volume-based metabolic parameter of breast cancer on preoperative (18)f-fdg pet/ct could predict axillary lymph node metastasis
topic 5750
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690765/
https://www.ncbi.nlm.nih.gov/pubmed/29137072
http://dx.doi.org/10.1097/MD.0000000000008557
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