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Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology

BACKGROUND: Primary hepatic neuroendocrine tumors (PHNET) are extremely rare and difficult to distinguish from primary and metastatic liver cancers since PHNETs blood supply comes from the liver artery. This study aims to investigate CT and MR imaging findings of primary hepatic neuroendocrine tumor...

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Autores principales: Wang, Li-Xia, Liu, Kan, Lin, Guang-Wu, Jiang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536757/
https://www.ncbi.nlm.nih.gov/pubmed/26272674
http://dx.doi.org/10.1186/s40644-015-0046-0
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author Wang, Li-Xia
Liu, Kan
Lin, Guang-Wu
Jiang, Tao
author_facet Wang, Li-Xia
Liu, Kan
Lin, Guang-Wu
Jiang, Tao
author_sort Wang, Li-Xia
collection PubMed
description BACKGROUND: Primary hepatic neuroendocrine tumors (PHNET) are extremely rare and difficult to distinguish from primary and metastatic liver cancers since PHNETs blood supply comes from the liver artery. This study aims to investigate CT and MR imaging findings of primary hepatic neuroendocrine tumor (PHNET) and correlation with the 2010 WHO pathological classification. METHODS: We examined CT and MRI scans from 29 patients who were diagnosed with PHNET and correlated the data with the 2010 WHO classification of neuroendocrine tumors. RESULTS: According to the 2010 WHO classification system, PHNETs are divided into three grades based on histological criteria. Grade 1 tumors are singular, solid nodules with enhancement at the arterial phase on CT and MRI scans. In grade 1 tumors, the dynamic-contrast enhancement curve shows rapid wash-in in the arterial phase. Grade 2 tumors can have a singular or multiple distribution pattern, necrosis, and nodule or marginal ring-like enhancements. Grade 3 tumors have multiple lesions, internal necrosis, and evidence of hemorrhage. Portal venous tumor thrombus was seen in one case. As tumor grades increase, the capsule begins to lose integrity and tumor apparent diffusion coefficient (ADC) values decrease(grade 1: 1.39 ± 0.20× 10(−3) mm(2)/s versus grade 2: 1.26 ± 0.23× 10(−3) mm(2)/s versus grade 3: 1.14 ± 0.17× 10(−3) mm(2)/s). CONCLUSION: CT and MRI can reflect tumor grade and pathological features of PHNETs, which are helpful in accurately diagnosing PHNETs.
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spelling pubmed-45367572015-08-15 Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology Wang, Li-Xia Liu, Kan Lin, Guang-Wu Jiang, Tao Cancer Imaging Research Article BACKGROUND: Primary hepatic neuroendocrine tumors (PHNET) are extremely rare and difficult to distinguish from primary and metastatic liver cancers since PHNETs blood supply comes from the liver artery. This study aims to investigate CT and MR imaging findings of primary hepatic neuroendocrine tumor (PHNET) and correlation with the 2010 WHO pathological classification. METHODS: We examined CT and MRI scans from 29 patients who were diagnosed with PHNET and correlated the data with the 2010 WHO classification of neuroendocrine tumors. RESULTS: According to the 2010 WHO classification system, PHNETs are divided into three grades based on histological criteria. Grade 1 tumors are singular, solid nodules with enhancement at the arterial phase on CT and MRI scans. In grade 1 tumors, the dynamic-contrast enhancement curve shows rapid wash-in in the arterial phase. Grade 2 tumors can have a singular or multiple distribution pattern, necrosis, and nodule or marginal ring-like enhancements. Grade 3 tumors have multiple lesions, internal necrosis, and evidence of hemorrhage. Portal venous tumor thrombus was seen in one case. As tumor grades increase, the capsule begins to lose integrity and tumor apparent diffusion coefficient (ADC) values decrease(grade 1: 1.39 ± 0.20× 10(−3) mm(2)/s versus grade 2: 1.26 ± 0.23× 10(−3) mm(2)/s versus grade 3: 1.14 ± 0.17× 10(−3) mm(2)/s). CONCLUSION: CT and MRI can reflect tumor grade and pathological features of PHNETs, which are helpful in accurately diagnosing PHNETs. BioMed Central 2015-08-15 /pmc/articles/PMC4536757/ /pubmed/26272674 http://dx.doi.org/10.1186/s40644-015-0046-0 Text en © Wang et al. 2015 Open Access This 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
Wang, Li-Xia
Liu, Kan
Lin, Guang-Wu
Jiang, Tao
Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title_full Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title_fullStr Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title_full_unstemmed Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title_short Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology
title_sort primary hepatic neuroendocrine tumors: comparing ct and mri features with pathology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536757/
https://www.ncbi.nlm.nih.gov/pubmed/26272674
http://dx.doi.org/10.1186/s40644-015-0046-0
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