Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma
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...
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Published in | Frontiers in oncology Vol. 12; p. 1007134 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
06.01.2023
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ISSN | 2234-943X 2234-943X |
DOI | 10.3389/fonc.2022.1007134 |
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Abstract | 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.
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
, plasma volume fraction v
, transfer constant K
, and extravascular extracellular volume fraction v
. 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.
Fourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of F
, v
, K
, and v
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.
Multitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. |
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AbstractList | 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.Background and aimsAccurate 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.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 Fp, plasma volume fraction vp, transfer constant Ktrans, and extravascular extracellular volume fraction ve. 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.MethodsThe 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 Fp, plasma volume fraction vp, transfer constant Ktrans, and extravascular extracellular volume fraction ve. 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.Fourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of Fp, vp, Ktrans, and ve 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.ResultsFourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of Fp, vp, Ktrans, and ve 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.Multitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC.ConclusionMultitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. 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. 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 , plasma volume fraction v , transfer constant K , and extravascular extracellular volume fraction v . 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. Fourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of F , v , K , and v 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. Multitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. Background and aimsAccurate 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.MethodsThe 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 Fp, plasma volume fraction vp, transfer constant Ktrans, and extravascular extracellular volume fraction ve. 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.ResultsFourteen PDAC patients, 8 CP patients and 20 healthy subjects were prospectively recruited. The combination of Fp, vp, Ktrans, and ve 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.ConclusionMultitasking DCE MRI is a promising clinical tool that is capable of unbiased quantitative differentiation between CP from PDAC. |
Author | Wu, Chaowei Wang, Nan Xie, Yibin Christodoulou, Anthony G. Ma, Sen Pandol, Stephen J. Fan, Zhaoyang Li, Debiao Gaddam, Srinivas Wang, Lixia Lo, Simon Hendifar, Andrew E. |
AuthorAffiliation | 3 Bioengineering Department, University of California, Los Angeles , Los Angeles, CA , United States 2 The Karsh Division of Gastroenterology and Hepatology, Cedars Sinai Medical Center , Los Angeles, CA , United States 4 Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles , Los Angeles, CA , United States 1 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA , United States 5 Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center , Los Angeles, CA , United States |
AuthorAffiliation_xml | – name: 4 Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles , Los Angeles, CA , United States – name: 3 Bioengineering Department, University of California, Los Angeles , Los Angeles, CA , United States – name: 2 The Karsh Division of Gastroenterology and Hepatology, Cedars Sinai Medical Center , Los Angeles, CA , United States – name: 5 Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center , Los Angeles, CA , United States – name: 1 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA , United States |
Author_xml | – sequence: 1 givenname: Nan surname: Wang fullname: Wang, Nan – sequence: 2 givenname: Srinivas surname: Gaddam fullname: Gaddam, Srinivas – sequence: 3 givenname: Yibin surname: Xie fullname: Xie, Yibin – sequence: 4 givenname: Anthony G. surname: Christodoulou fullname: Christodoulou, Anthony G. – sequence: 5 givenname: Chaowei surname: Wu fullname: Wu, Chaowei – sequence: 6 givenname: Sen surname: Ma fullname: Ma, Sen – sequence: 7 givenname: Zhaoyang surname: Fan fullname: Fan, Zhaoyang – sequence: 8 givenname: Lixia surname: Wang fullname: Wang, Lixia – sequence: 9 givenname: Simon surname: Lo fullname: Lo, Simon – sequence: 10 givenname: Andrew E. surname: Hendifar fullname: Hendifar, Andrew E. – sequence: 11 givenname: Stephen J. surname: Pandol fullname: Pandol, Stephen J. – sequence: 12 givenname: Debiao surname: Li fullname: Li, Debiao |
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Copyright | Copyright © 2023 Wang, Gaddam, Xie, Christodoulou, Wu, Ma, Fan, Wang, Lo, Hendifar, Pandol and Li. Copyright © 2023 Wang, Gaddam, Xie, Christodoulou, Wu, Ma, Fan, Wang, Lo, Hendifar, Pandol and Li 2023 Wang, Gaddam, Xie, Christodoulou, Wu, Ma, Fan, Wang, Lo, Hendifar, Pandol and Li |
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Keywords | quantitative imaging microcirculation properties Multitasking DCE dynamic contrast enhanced magnetic resonance imaging differential diagnosis of chronic pancreatitis and pancreatic ductal adenocarcinoma |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Cancer Imaging and Image-directed Interventions, a section of the journal Frontiers in Oncology Edited by: Pilar López-Larrubia, Spanish National Research Council (CSIC), Spain Reviewed by: Tao Yu, China Medical University, China; Zhendong Jin, Second Military Medical University, China |
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Snippet | Accurate differentiation of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this study, a novel... Background and aimsAccurate differentiation of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this... |
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SubjectTerms | differential diagnosis of chronic pancreatitis and pancreatic ductal adenocarcinoma dynamic contrast enhanced magnetic resonance imaging microcirculation properties Multitasking DCE Oncology quantitative imaging |
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Title | Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma |
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