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Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model
The purpose of this study is to test the feasibility of applying a dual-input two-compartment liver perfusion model to patients with different pathologies. A total of 7 healthy subjects and 11 patients with focal liver lesions, including 6 patients with metastatic adenocarcinoma and 5 with hepatocel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727493/ https://www.ncbi.nlm.nih.gov/pubmed/29235486 http://dx.doi.org/10.1038/s41598-017-17753-9 |
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author | Ghodasara, Satyam Pahwa, Shivani Dastmalchian, Sara Gulani, Vikas Chen, Yong |
author_facet | Ghodasara, Satyam Pahwa, Shivani Dastmalchian, Sara Gulani, Vikas Chen, Yong |
author_sort | Ghodasara, Satyam |
collection | PubMed |
description | The purpose of this study is to test the feasibility of applying a dual-input two-compartment liver perfusion model to patients with different pathologies. A total of 7 healthy subjects and 11 patients with focal liver lesions, including 6 patients with metastatic adenocarcinoma and 5 with hepatocellular carcinoma (HCC), were examined. Liver perfusion values were measured from both focal liver lesions and cirrhotic tissues (from the 5 HCC patients). Compared to results from volunteer livers, significantly higher arterial fraction, fractional volume of the interstitial space, and lower permeability-surface area product were observed for metastatic lesions, and significantly higher arterial fraction and lower vascular transit time were observed for HCCs (P < 0.05). Significantly lower arterial fraction and higher vascular transit time, fractional volume of the vascular space, and fractional volume of the interstitial space were observed for metastases in comparison to HCCs (P < 0.05). For cirrhotic livers, a significantly lower total perfusion, lower fractional volume of the vascular space, higher fractional volume of the interstitial space, and lower permeability-surface area product were noted in comparison to volunteer livers (P < 0.05). Our findings support the possibility of using this model with 3D free-breathing acquisitions for lesion and diffuse liver disease characterization. |
format | Online Article Text |
id | pubmed-5727493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57274932017-12-18 Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model Ghodasara, Satyam Pahwa, Shivani Dastmalchian, Sara Gulani, Vikas Chen, Yong Sci Rep Article The purpose of this study is to test the feasibility of applying a dual-input two-compartment liver perfusion model to patients with different pathologies. A total of 7 healthy subjects and 11 patients with focal liver lesions, including 6 patients with metastatic adenocarcinoma and 5 with hepatocellular carcinoma (HCC), were examined. Liver perfusion values were measured from both focal liver lesions and cirrhotic tissues (from the 5 HCC patients). Compared to results from volunteer livers, significantly higher arterial fraction, fractional volume of the interstitial space, and lower permeability-surface area product were observed for metastatic lesions, and significantly higher arterial fraction and lower vascular transit time were observed for HCCs (P < 0.05). Significantly lower arterial fraction and higher vascular transit time, fractional volume of the vascular space, and fractional volume of the interstitial space were observed for metastases in comparison to HCCs (P < 0.05). For cirrhotic livers, a significantly lower total perfusion, lower fractional volume of the vascular space, higher fractional volume of the interstitial space, and lower permeability-surface area product were noted in comparison to volunteer livers (P < 0.05). Our findings support the possibility of using this model with 3D free-breathing acquisitions for lesion and diffuse liver disease characterization. Nature Publishing Group UK 2017-12-13 /pmc/articles/PMC5727493/ /pubmed/29235486 http://dx.doi.org/10.1038/s41598-017-17753-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ghodasara, Satyam Pahwa, Shivani Dastmalchian, Sara Gulani, Vikas Chen, Yong Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title | Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title_full | Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title_fullStr | Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title_full_unstemmed | Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title_short | Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model |
title_sort | free-breathing 3d liver perfusion quantification using a dual-input two-compartment model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727493/ https://www.ncbi.nlm.nih.gov/pubmed/29235486 http://dx.doi.org/10.1038/s41598-017-17753-9 |
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