Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.

Detalhes bibliográficos
Autor(a) principal: Santiago, I
Data de Publicação: 2019
Outros Autores: Santinha, J, Ianus, A, Galzerano, A, Manso, RT, et al.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.10/2259
Resumo: Noninvasive characterization of lymph node involvement in cancer is an enduring onerous challenge. In rectal cancer, pathologic lymph node status constitutes the most important determinant of local recurrence and overall survival, and patients with involved lymph nodes may benefit from preoperative chemo and/or radiotherapy. However, knowledge of lymph node status before surgery is currently hampered by limited imaging accuracy. Here, we introduce Susceptibility-Perturbation MRI (SPI) as a novel source of contrast to map malignant infiltration into mesorectal lymph nodes. SPI involves multigradient echo (MGE) signal decays presenting a nonmonoexponential nature, which we show is sensitive to the underlying microstructure via susceptibility perturbations. Using numerical simulations, we predicted that the large cell morphology and the high cellularity of tumor within affected mesorectal lymph nodes would induce signature SPI decays. We validated this prediction in mesorectal lymph nodes excised from total mesorectal excision specimens of patients with rectal cancer using ultrahigh field (16.4 T) MRI. SPI signals distinguished benign from malignant nodal tissue, both qualitatively and quantitatively, and our histologic analyses confirmed cellularity and cell size were the likely underlying sources for the differences observed. SPI was then adapted to a clinical 1.5 T scanner, added to patients' staging protocol, and compared with conventional assessment by two expert radiologists. Nonmonoexponential decays, similar to those observed in the ex vivo study, were demonstrated, and SPI classified lymph nodes more accurately than standard high-resolution T2-weighted imaging assessment. These findings suggest this simple, yet highly informative, method can improve rectal cancer patient selection for neoadjuvant therapy. SIGNIFICANCE: These findings introduce an MRI methodology tailored to detect magnetic susceptibility perturbations induced by subtle alterations in tissue microstructure.
id RCAP_5c6222c3a097f77cb5ef5bdf10586a95
oai_identifier_str oai:repositorio.hff.min-saude.pt:10400.10/2259
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.Lymph nodesRectal neoplasmsMagnetic resonance imagingNoninvasive characterization of lymph node involvement in cancer is an enduring onerous challenge. In rectal cancer, pathologic lymph node status constitutes the most important determinant of local recurrence and overall survival, and patients with involved lymph nodes may benefit from preoperative chemo and/or radiotherapy. However, knowledge of lymph node status before surgery is currently hampered by limited imaging accuracy. Here, we introduce Susceptibility-Perturbation MRI (SPI) as a novel source of contrast to map malignant infiltration into mesorectal lymph nodes. SPI involves multigradient echo (MGE) signal decays presenting a nonmonoexponential nature, which we show is sensitive to the underlying microstructure via susceptibility perturbations. Using numerical simulations, we predicted that the large cell morphology and the high cellularity of tumor within affected mesorectal lymph nodes would induce signature SPI decays. We validated this prediction in mesorectal lymph nodes excised from total mesorectal excision specimens of patients with rectal cancer using ultrahigh field (16.4 T) MRI. SPI signals distinguished benign from malignant nodal tissue, both qualitatively and quantitatively, and our histologic analyses confirmed cellularity and cell size were the likely underlying sources for the differences observed. SPI was then adapted to a clinical 1.5 T scanner, added to patients' staging protocol, and compared with conventional assessment by two expert radiologists. Nonmonoexponential decays, similar to those observed in the ex vivo study, were demonstrated, and SPI classified lymph nodes more accurately than standard high-resolution T2-weighted imaging assessment. These findings suggest this simple, yet highly informative, method can improve rectal cancer patient selection for neoadjuvant therapy. SIGNIFICANCE: These findings introduce an MRI methodology tailored to detect magnetic susceptibility perturbations induced by subtle alterations in tissue microstructure.American Association for Cancer ResearchRepositório do Hospital Prof. Doutor Fernando FonsecaSantiago, ISantinha, JIanus, AGalzerano, AManso, RT, et al.2019-05-20T15:27:20Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.10/2259engCancer Res. 2019 May 1;79(9):2435-2444.1538-744510.1158/0008-5472.CAN-18-3682info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-20T15:52:56Zoai:repositorio.hff.min-saude.pt:10400.10/2259Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:53:13.335377Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
title Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
spellingShingle Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
Santiago, I
Lymph nodes
Rectal neoplasms
Magnetic resonance imaging
title_short Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
title_full Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
title_fullStr Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
title_full_unstemmed Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
title_sort Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.
author Santiago, I
author_facet Santiago, I
Santinha, J
Ianus, A
Galzerano, A
Manso, RT, et al.
author_role author
author2 Santinha, J
Ianus, A
Galzerano, A
Manso, RT, et al.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório do Hospital Prof. Doutor Fernando Fonseca
dc.contributor.author.fl_str_mv Santiago, I
Santinha, J
Ianus, A
Galzerano, A
Manso, RT, et al.
dc.subject.por.fl_str_mv Lymph nodes
Rectal neoplasms
Magnetic resonance imaging
topic Lymph nodes
Rectal neoplasms
Magnetic resonance imaging
description Noninvasive characterization of lymph node involvement in cancer is an enduring onerous challenge. In rectal cancer, pathologic lymph node status constitutes the most important determinant of local recurrence and overall survival, and patients with involved lymph nodes may benefit from preoperative chemo and/or radiotherapy. However, knowledge of lymph node status before surgery is currently hampered by limited imaging accuracy. Here, we introduce Susceptibility-Perturbation MRI (SPI) as a novel source of contrast to map malignant infiltration into mesorectal lymph nodes. SPI involves multigradient echo (MGE) signal decays presenting a nonmonoexponential nature, which we show is sensitive to the underlying microstructure via susceptibility perturbations. Using numerical simulations, we predicted that the large cell morphology and the high cellularity of tumor within affected mesorectal lymph nodes would induce signature SPI decays. We validated this prediction in mesorectal lymph nodes excised from total mesorectal excision specimens of patients with rectal cancer using ultrahigh field (16.4 T) MRI. SPI signals distinguished benign from malignant nodal tissue, both qualitatively and quantitatively, and our histologic analyses confirmed cellularity and cell size were the likely underlying sources for the differences observed. SPI was then adapted to a clinical 1.5 T scanner, added to patients' staging protocol, and compared with conventional assessment by two expert radiologists. Nonmonoexponential decays, similar to those observed in the ex vivo study, were demonstrated, and SPI classified lymph nodes more accurately than standard high-resolution T2-weighted imaging assessment. These findings suggest this simple, yet highly informative, method can improve rectal cancer patient selection for neoadjuvant therapy. SIGNIFICANCE: These findings introduce an MRI methodology tailored to detect magnetic susceptibility perturbations induced by subtle alterations in tissue microstructure.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-20T15:27:20Z
2019-01-01T00:00:00Z
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.10/2259
url http://hdl.handle.net/10400.10/2259
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cancer Res. 2019 May 1;79(9):2435-2444.
1538-7445
10.1158/0008-5472.CAN-18-3682
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Association for Cancer Research
publisher.none.fl_str_mv American Association for Cancer Research
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799130399610241024