Cargando…

Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study

We describe multi-institutional experience using free-breathing, 3D Spiral GRAPPA-based quantitative perfusion MRI in characterizing neoplastic liver masses. 45 patients (age: 48–72 years) were prospectively recruited at University Hospitals, Cleveland, USA on a 3 Tesla (T) MRI, and at Zhongshan Hos...

Descripción completa

Detalles Bibliográficos
Autores principales: Pahwa, Shivani, Liu, Hao, Chen, Yong, Dastmalchian, Sara, O’Connor, Gregory, Lu, Ziang, Badve, Chaitra, Yu, Alice, Wright, Katherine, Chalian, Hamid, Rao, Shengxiang, Fu, Caixia, Vallines, Ignacio, Griswold, Mark, Seiberlich, Nicole, Zeng, Mengsu, Gulani, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862961/
https://www.ncbi.nlm.nih.gov/pubmed/29563601
http://dx.doi.org/10.1038/s41598-018-20726-1
_version_ 1783308320576110592
author Pahwa, Shivani
Liu, Hao
Chen, Yong
Dastmalchian, Sara
O’Connor, Gregory
Lu, Ziang
Badve, Chaitra
Yu, Alice
Wright, Katherine
Chalian, Hamid
Rao, Shengxiang
Fu, Caixia
Vallines, Ignacio
Griswold, Mark
Seiberlich, Nicole
Zeng, Mengsu
Gulani, Vikas
author_facet Pahwa, Shivani
Liu, Hao
Chen, Yong
Dastmalchian, Sara
O’Connor, Gregory
Lu, Ziang
Badve, Chaitra
Yu, Alice
Wright, Katherine
Chalian, Hamid
Rao, Shengxiang
Fu, Caixia
Vallines, Ignacio
Griswold, Mark
Seiberlich, Nicole
Zeng, Mengsu
Gulani, Vikas
author_sort Pahwa, Shivani
collection PubMed
description We describe multi-institutional experience using free-breathing, 3D Spiral GRAPPA-based quantitative perfusion MRI in characterizing neoplastic liver masses. 45 patients (age: 48–72 years) were prospectively recruited at University Hospitals, Cleveland, USA on a 3 Tesla (T) MRI, and at Zhongshan Hospital, Shanghai, China on a 1.5 T MRI. Contrast-enhanced volumetric T1-weighted images were acquired and a dual-input single-compartment model used to derive arterial fraction (AF), distribution volume (DV) and mean transit time (MTT) for the lesions and normal parenchyma. The measurements were compared using two-tailed Student’s t-test, with Bonferroni correction applied for multiple-comparison testing. 28 hepatocellular carcinoma (HCC) and 17 metastatic lesions were evaluated. No significant difference was noted in perfusion parameters of normal liver parenchyma and neoplastic masses at two centers (p = 0.62 for AF, 0.015 for DV, 0.42 for MTT for HCC, p = 0.13 for AF, 0.97 for DV, 0.78 for MTT for metastases). There was statistically significant difference in AF, DV, and MTT of metastases and AF and DV of HCC compared to normal liver parenchyma (p < 0.5/9 = 0.0055). A statistically significant difference was noted in the MTT of metastases compared to hepatocellular carcinoma (p < 0.001*10-5). In conclusion, 3D Spiral-GRAPPA enabled quantitative free-breathing perfusion MRI exam provides robust perfusion parameters.
format Online
Article
Text
id pubmed-5862961
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-58629612018-03-27 Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study Pahwa, Shivani Liu, Hao Chen, Yong Dastmalchian, Sara O’Connor, Gregory Lu, Ziang Badve, Chaitra Yu, Alice Wright, Katherine Chalian, Hamid Rao, Shengxiang Fu, Caixia Vallines, Ignacio Griswold, Mark Seiberlich, Nicole Zeng, Mengsu Gulani, Vikas Sci Rep Article We describe multi-institutional experience using free-breathing, 3D Spiral GRAPPA-based quantitative perfusion MRI in characterizing neoplastic liver masses. 45 patients (age: 48–72 years) were prospectively recruited at University Hospitals, Cleveland, USA on a 3 Tesla (T) MRI, and at Zhongshan Hospital, Shanghai, China on a 1.5 T MRI. Contrast-enhanced volumetric T1-weighted images were acquired and a dual-input single-compartment model used to derive arterial fraction (AF), distribution volume (DV) and mean transit time (MTT) for the lesions and normal parenchyma. The measurements were compared using two-tailed Student’s t-test, with Bonferroni correction applied for multiple-comparison testing. 28 hepatocellular carcinoma (HCC) and 17 metastatic lesions were evaluated. No significant difference was noted in perfusion parameters of normal liver parenchyma and neoplastic masses at two centers (p = 0.62 for AF, 0.015 for DV, 0.42 for MTT for HCC, p = 0.13 for AF, 0.97 for DV, 0.78 for MTT for metastases). There was statistically significant difference in AF, DV, and MTT of metastases and AF and DV of HCC compared to normal liver parenchyma (p < 0.5/9 = 0.0055). A statistically significant difference was noted in the MTT of metastases compared to hepatocellular carcinoma (p < 0.001*10-5). In conclusion, 3D Spiral-GRAPPA enabled quantitative free-breathing perfusion MRI exam provides robust perfusion parameters. Nature Publishing Group UK 2018-03-21 /pmc/articles/PMC5862961/ /pubmed/29563601 http://dx.doi.org/10.1038/s41598-018-20726-1 Text en © The Author(s) 2018 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
Pahwa, Shivani
Liu, Hao
Chen, Yong
Dastmalchian, Sara
O’Connor, Gregory
Lu, Ziang
Badve, Chaitra
Yu, Alice
Wright, Katherine
Chalian, Hamid
Rao, Shengxiang
Fu, Caixia
Vallines, Ignacio
Griswold, Mark
Seiberlich, Nicole
Zeng, Mengsu
Gulani, Vikas
Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title_full Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title_fullStr Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title_full_unstemmed Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title_short Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study
title_sort quantitative perfusion imaging of neoplastic liver lesions: a multi-institution study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862961/
https://www.ncbi.nlm.nih.gov/pubmed/29563601
http://dx.doi.org/10.1038/s41598-018-20726-1
work_keys_str_mv AT pahwashivani quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT liuhao quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT chenyong quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT dastmalchiansara quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT oconnorgregory quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT luziang quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT badvechaitra quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT yualice quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT wrightkatherine quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT chalianhamid quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT raoshengxiang quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT fucaixia quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT vallinesignacio quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT griswoldmark quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT seiberlichnicole quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT zengmengsu quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy
AT gulanivikas quantitativeperfusionimagingofneoplasticliverlesionsamultiinstitutionstudy