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Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer

BACKGROUND: Sentinel node biopsy often results in the identification and removal of multiple nodes as sentinel nodes, although most of these nodes could be non-sentinel nodes. This study investigated whether computed tomography-lymphography (CT-LG) can distinguish sentinel nodes from non-sentinel no...

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Autores principales: Motomura, Kazuyoshi, Sumino, Hiroshi, Noguchi, Atsushi, Horinouchi, Takashi, Nakanishi, Katsuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028847/
https://www.ncbi.nlm.nih.gov/pubmed/24321242
http://dx.doi.org/10.1186/1471-2342-13-42
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author Motomura, Kazuyoshi
Sumino, Hiroshi
Noguchi, Atsushi
Horinouchi, Takashi
Nakanishi, Katsuyuki
author_facet Motomura, Kazuyoshi
Sumino, Hiroshi
Noguchi, Atsushi
Horinouchi, Takashi
Nakanishi, Katsuyuki
author_sort Motomura, Kazuyoshi
collection PubMed
description BACKGROUND: Sentinel node biopsy often results in the identification and removal of multiple nodes as sentinel nodes, although most of these nodes could be non-sentinel nodes. This study investigated whether computed tomography-lymphography (CT-LG) can distinguish sentinel nodes from non-sentinel nodes and whether sentinel nodes identified by CT-LG can accurately stage the axilla in patients with breast cancer. METHODS: This study included 184 patients with breast cancer and clinically negative nodes. Contrast agent was injected interstitially. The location of sentinel nodes was marked on the skin surface using a CT laser light navigator system. Lymph nodes located just under the marks were first removed as sentinel nodes. Then, all dyed nodes or all hot nodes were removed. RESULTS: The mean number of sentinel nodes identified by CT-LG was significantly lower than that of dyed and/or hot nodes removed (1.1 vs 1.8, p <0.0001). Twenty-three (12.5%) patients had ≥2 sentinel nodes identified by CT-LG removed, whereas 94 (51.1%) of patients had ≥2 dyed and/or hot nodes removed (p <0.0001). Pathological evaluation demonstrated that 47 (25.5%) of 184 patients had metastasis to at least one node. All 47 patients demonstrated metastases to at least one of the sentinel nodes identified by CT-LG. CONCLUSIONS: CT-LG can distinguish sentinel nodes from non-sentinel nodes, and sentinel nodes identified by CT-LG can accurately stage the axilla in patients with breast cancer. Successful identification of sentinel nodes using CT-LG may facilitate image-based diagnosis of metastasis, possibly leading to the omission of sentinel node biopsy.
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spelling pubmed-40288472014-05-22 Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer Motomura, Kazuyoshi Sumino, Hiroshi Noguchi, Atsushi Horinouchi, Takashi Nakanishi, Katsuyuki BMC Med Imaging Research Article BACKGROUND: Sentinel node biopsy often results in the identification and removal of multiple nodes as sentinel nodes, although most of these nodes could be non-sentinel nodes. This study investigated whether computed tomography-lymphography (CT-LG) can distinguish sentinel nodes from non-sentinel nodes and whether sentinel nodes identified by CT-LG can accurately stage the axilla in patients with breast cancer. METHODS: This study included 184 patients with breast cancer and clinically negative nodes. Contrast agent was injected interstitially. The location of sentinel nodes was marked on the skin surface using a CT laser light navigator system. Lymph nodes located just under the marks were first removed as sentinel nodes. Then, all dyed nodes or all hot nodes were removed. RESULTS: The mean number of sentinel nodes identified by CT-LG was significantly lower than that of dyed and/or hot nodes removed (1.1 vs 1.8, p <0.0001). Twenty-three (12.5%) patients had ≥2 sentinel nodes identified by CT-LG removed, whereas 94 (51.1%) of patients had ≥2 dyed and/or hot nodes removed (p <0.0001). Pathological evaluation demonstrated that 47 (25.5%) of 184 patients had metastasis to at least one node. All 47 patients demonstrated metastases to at least one of the sentinel nodes identified by CT-LG. CONCLUSIONS: CT-LG can distinguish sentinel nodes from non-sentinel nodes, and sentinel nodes identified by CT-LG can accurately stage the axilla in patients with breast cancer. Successful identification of sentinel nodes using CT-LG may facilitate image-based diagnosis of metastasis, possibly leading to the omission of sentinel node biopsy. BioMed Central 2013-12-09 /pmc/articles/PMC4028847/ /pubmed/24321242 http://dx.doi.org/10.1186/1471-2342-13-42 Text en Copyright © 2013 Motomura et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Motomura, Kazuyoshi
Sumino, Hiroshi
Noguchi, Atsushi
Horinouchi, Takashi
Nakanishi, Katsuyuki
Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title_full Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title_fullStr Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title_full_unstemmed Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title_short Sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
title_sort sentinel nodes identified by computed tomography-lymphography accurately stage the axilla in patients with breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028847/
https://www.ncbi.nlm.nih.gov/pubmed/24321242
http://dx.doi.org/10.1186/1471-2342-13-42
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