Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy
The present study aims to monitor longitudinal changes in simulated tumor interstitial fluid pressure (IFP) and velocity (IFV) values using dynamic contrast-enhanced (DCE)-MRI-based computational fluid modeling (CFM) in pancreatic ductal adenocarcinoma (PDAC) patients. Nine PDAC patients underwent M...
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2021-08-01
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doaj-99ef913bf27748d393513a560e253fd02021-09-09T13:40:28ZengMDPI AGCancers2072-66942021-08-01134319431910.3390/cancers13174319Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body RadiotherapyRamesh Paudyal0Eve LoCastro1Marsha Reyngold2Richard Kinh Do3Amaresha Shridhar Konar4Jung Hun Oh5Abhay Dave6Kenneth Yu7Karyn A. Goodman8Amita Shukla-Dave9Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USATouro College of Osteopathic Medicine, New York, NY 10027, USADepartment of Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USATisch Cancer Institute at Mount Sinai Hospital, New York, NY 10029, USADepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USAThe present study aims to monitor longitudinal changes in simulated tumor interstitial fluid pressure (IFP) and velocity (IFV) values using dynamic contrast-enhanced (DCE)-MRI-based computational fluid modeling (CFM) in pancreatic ductal adenocarcinoma (PDAC) patients. Nine PDAC patients underwent MRI, including DCE-MRI, on a 3-Tesla MRI scanner at pre-treatment (TX (0)), after the first fraction of stereotactic body radiotherapy (SBRT, (D1-TX)), and six weeks post-TX (D2-TX). The partial differential equation of IFP formulated from the continuity equation, incorporating the Starling Principle of fluid exchange, Darcy velocity, and volume transfer constant (K<sup>trans</sup>), was solved in COMSOL Multiphysics software to generate IFP and IFV maps. Tumor volume (V<sub>t</sub>), K<sup>trans</sup>, IFP, and IFV values were compared (Wilcoxon and Spearman) between the time- points. D2-TX K<sup>trans</sup> values were significantly different from pre-TX and D1-TX (<i>p</i> < 0.05). The D1-TX and pre-TX mean IFV values exhibited a borderline significant difference (<i>p</i> = 0.08). The IFP values varying <3.0% between the three time-points were not significantly different (<i>p</i> > 0.05). V<sub>t</sub> and IFP values were strongly positively correlated at pre-TX (ρ = 0.90, <i>p</i> = 0.005), while IFV exhibited a strong negative correlation at D1-TX (ρ = −0.74, <i>p</i> = 0.045). V<sub>t</sub>, K<sup>trans</sup>, IFP, and IFV hold promise as imaging biomarkers of early response to therapy in PDAC.https://www.mdpi.com/2072-6694/13/17/4319computational fluid modelingDarcy velocitydynamic contrast-enhanced MRIhydraulic conductivityinterstitial fluid pressure and velocityStarling principle |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ramesh Paudyal Eve LoCastro Marsha Reyngold Richard Kinh Do Amaresha Shridhar Konar Jung Hun Oh Abhay Dave Kenneth Yu Karyn A. Goodman Amita Shukla-Dave |
spellingShingle |
Ramesh Paudyal Eve LoCastro Marsha Reyngold Richard Kinh Do Amaresha Shridhar Konar Jung Hun Oh Abhay Dave Kenneth Yu Karyn A. Goodman Amita Shukla-Dave Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy Cancers computational fluid modeling Darcy velocity dynamic contrast-enhanced MRI hydraulic conductivity interstitial fluid pressure and velocity Starling principle |
author_facet |
Ramesh Paudyal Eve LoCastro Marsha Reyngold Richard Kinh Do Amaresha Shridhar Konar Jung Hun Oh Abhay Dave Kenneth Yu Karyn A. Goodman Amita Shukla-Dave |
author_sort |
Ramesh Paudyal |
title |
Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy |
title_short |
Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy |
title_full |
Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy |
title_fullStr |
Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy |
title_full_unstemmed |
Longitudinal Monitoring of Simulated Interstitial Fluid Pressure for Pancreatic Ductal Adenocarcinoma Patients Treated with Stereotactic Body Radiotherapy |
title_sort |
longitudinal monitoring of simulated interstitial fluid pressure for pancreatic ductal adenocarcinoma patients treated with stereotactic body radiotherapy |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-08-01 |
description |
The present study aims to monitor longitudinal changes in simulated tumor interstitial fluid pressure (IFP) and velocity (IFV) values using dynamic contrast-enhanced (DCE)-MRI-based computational fluid modeling (CFM) in pancreatic ductal adenocarcinoma (PDAC) patients. Nine PDAC patients underwent MRI, including DCE-MRI, on a 3-Tesla MRI scanner at pre-treatment (TX (0)), after the first fraction of stereotactic body radiotherapy (SBRT, (D1-TX)), and six weeks post-TX (D2-TX). The partial differential equation of IFP formulated from the continuity equation, incorporating the Starling Principle of fluid exchange, Darcy velocity, and volume transfer constant (K<sup>trans</sup>), was solved in COMSOL Multiphysics software to generate IFP and IFV maps. Tumor volume (V<sub>t</sub>), K<sup>trans</sup>, IFP, and IFV values were compared (Wilcoxon and Spearman) between the time- points. D2-TX K<sup>trans</sup> values were significantly different from pre-TX and D1-TX (<i>p</i> < 0.05). The D1-TX and pre-TX mean IFV values exhibited a borderline significant difference (<i>p</i> = 0.08). The IFP values varying <3.0% between the three time-points were not significantly different (<i>p</i> > 0.05). V<sub>t</sub> and IFP values were strongly positively correlated at pre-TX (ρ = 0.90, <i>p</i> = 0.005), while IFV exhibited a strong negative correlation at D1-TX (ρ = −0.74, <i>p</i> = 0.045). V<sub>t</sub>, K<sup>trans</sup>, IFP, and IFV hold promise as imaging biomarkers of early response to therapy in PDAC. |
topic |
computational fluid modeling Darcy velocity dynamic contrast-enhanced MRI hydraulic conductivity interstitial fluid pressure and velocity Starling principle |
url |
https://www.mdpi.com/2072-6694/13/17/4319 |
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