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Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma
BACKGROUND AND AIMS: Accurate differentiation of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this study, a novel Multitasking dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) technique was used to quantitatively evaluate...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853434/ https://www.ncbi.nlm.nih.gov/pubmed/36686811 http://dx.doi.org/10.3389/fonc.2022.1007134 |
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author | Wang, Nan Gaddam, Srinivas Xie, Yibin Christodoulou, Anthony G. Wu, Chaowei Ma, Sen Fan, Zhaoyang Wang, Lixia Lo, Simon Hendifar, Andrew E. Pandol, Stephen J. Li, Debiao |
author_facet | Wang, Nan Gaddam, Srinivas Xie, Yibin Christodoulou, Anthony G. Wu, Chaowei Ma, Sen Fan, Zhaoyang Wang, Lixia Lo, Simon Hendifar, Andrew E. Pandol, Stephen J. Li, Debiao |
author_sort | Wang, Nan |
collection | PubMed |
description | BACKGROUND AND AIMS: Accurate differentiation of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this study, a novel Multitasking dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) technique was used to quantitatively evaluate the microcirculation properties of pancreas in CP and PDAC and differentiate between them. METHODS: The Multitasking DCE technique was able to acquire one 3D image per second during the passage of MRI contrast agent, allowing the quantitative estimation of microcirculation properties of tissue, including blood flow F(p), plasma volume fraction v(p), transfer constant K(trans), and extravascular extracellular volume fraction v(e). Receiver operating characteristic (ROC) analysis was performed to differentiate the CP pancreas, PDAC pancreas, normal control pancreas, PDAC tumor, PDAC upstream, and PDAC downstream. ROCs from quantitative analysis and conventional analysis were compared. RESULTS: Fourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of F(p), v(p), K(trans), and v(e) can differentiate CP versus PDAC pancreas with good AUC (AUC [95% CI] = 0.821 [0.654 – 0.988]), CP versus normal pancreas with excellent AUC (1.000 [1.000 – 1.000]), PDAC pancreas versus normal pancreas with excellent AUC (1.000 [1.000 – 1.000]), CP versus PDAC tumor with excellent AUC (1.000 [1.000 – 1.000]), CP versus PDAC downstream with excellent AUC (0.917 [0.795 – 1.000]), and CP versus PDAC upstream with fair AUC (0.722 [0.465 – 0.980]). This quantitative analysis outperformed conventional analysis in differentiation of each pair. CONCLUSION: Multitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. |
format | Online Article Text |
id | pubmed-9853434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98534342023-01-21 Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma Wang, Nan Gaddam, Srinivas Xie, Yibin Christodoulou, Anthony G. Wu, Chaowei Ma, Sen Fan, Zhaoyang Wang, Lixia Lo, Simon Hendifar, Andrew E. Pandol, Stephen J. Li, Debiao Front Oncol Oncology BACKGROUND AND AIMS: Accurate differentiation of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this study, a novel Multitasking dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) technique was used to quantitatively evaluate the microcirculation properties of pancreas in CP and PDAC and differentiate between them. METHODS: The Multitasking DCE technique was able to acquire one 3D image per second during the passage of MRI contrast agent, allowing the quantitative estimation of microcirculation properties of tissue, including blood flow F(p), plasma volume fraction v(p), transfer constant K(trans), and extravascular extracellular volume fraction v(e). Receiver operating characteristic (ROC) analysis was performed to differentiate the CP pancreas, PDAC pancreas, normal control pancreas, PDAC tumor, PDAC upstream, and PDAC downstream. ROCs from quantitative analysis and conventional analysis were compared. RESULTS: Fourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of F(p), v(p), K(trans), and v(e) can differentiate CP versus PDAC pancreas with good AUC (AUC [95% CI] = 0.821 [0.654 – 0.988]), CP versus normal pancreas with excellent AUC (1.000 [1.000 – 1.000]), PDAC pancreas versus normal pancreas with excellent AUC (1.000 [1.000 – 1.000]), CP versus PDAC tumor with excellent AUC (1.000 [1.000 – 1.000]), CP versus PDAC downstream with excellent AUC (0.917 [0.795 – 1.000]), and CP versus PDAC upstream with fair AUC (0.722 [0.465 – 0.980]). This quantitative analysis outperformed conventional analysis in differentiation of each pair. CONCLUSION: Multitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9853434/ /pubmed/36686811 http://dx.doi.org/10.3389/fonc.2022.1007134 Text en Copyright © 2023 Wang, Gaddam, Xie, Christodoulou, Wu, Ma, Fan, Wang, Lo, Hendifar, Pandol and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Nan Gaddam, Srinivas Xie, Yibin Christodoulou, Anthony G. Wu, Chaowei Ma, Sen Fan, Zhaoyang Wang, Lixia Lo, Simon Hendifar, Andrew E. Pandol, Stephen J. Li, Debiao Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title_full | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title_fullStr | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title_full_unstemmed | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title_short | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
title_sort | multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853434/ https://www.ncbi.nlm.nih.gov/pubmed/36686811 http://dx.doi.org/10.3389/fonc.2022.1007134 |
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