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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4536757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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