A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis

This study aimed to develop and evaluate a new DCE-MRI processing technique that combines LEGATOS, a dual-temporal resolution DCE-MRI technique, with multi-kinetic models. This technique enables high spatial resolution interrogation of flow and permeability effects, which is currently challenging to...

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Main Authors: Ka-Loh Li, Daniel Lewis, Xiaoping Zhu, David J. Coope, Ibrahim Djoukhadar, Andrew T. King, Timothy Cootes, Alan Jackson
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Pharmaceuticals
Subjects:
Online Access:https://www.mdpi.com/1424-8247/16/9/1282
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author Ka-Loh Li
Daniel Lewis
Xiaoping Zhu
David J. Coope
Ibrahim Djoukhadar
Andrew T. King
Timothy Cootes
Alan Jackson
author_facet Ka-Loh Li
Daniel Lewis
Xiaoping Zhu
David J. Coope
Ibrahim Djoukhadar
Andrew T. King
Timothy Cootes
Alan Jackson
author_sort Ka-Loh Li
collection DOAJ
description This study aimed to develop and evaluate a new DCE-MRI processing technique that combines LEGATOS, a dual-temporal resolution DCE-MRI technique, with multi-kinetic models. This technique enables high spatial resolution interrogation of flow and permeability effects, which is currently challenging to achieve. Twelve patients with neurofibromatosis type II-related vestibular schwannoma (20 tumours) undergoing bevacizumab therapy were imaged at 1.5 T both before and at 90 days following treatment. Using the new technique, whole-brain, high spatial resolution images of the contrast transfer coefficient (K<sup>trans</sup>), vascular fraction (v<sub>p</sub>), extravascular extracellular fraction (v<sub>e</sub>), capillary plasma flow (F<sub>p</sub>), and the capillary permeability-surface area product (PS) could be obtained, and their predictive value was examined. Of the five microvascular parameters derived using the new method, baseline PS exhibited the strongest correlation with the baseline tumour volume (<i>p</i> = 0.03). Baseline v<sub>e</sub> showed the strongest correlation with the change in tumour volume, particularly the percentage tumour volume change at 90 days after treatment (<i>p</i> < 0.001), and PS demonstrated a larger reduction at 90 days after treatment (<i>p</i> = 0.0001) when compared to K<sup>trans</sup> or F<sub>p</sub> alone. Both the capillary permeability-surface area product (PS) and the extravascular extracellular fraction (v<sub>e</sub>) significantly differentiated the ‘responder’ and ‘non-responder’ tumour groups at 90 days (<i>p</i> < 0.05 and <i>p</i> < 0.001, respectively). These results highlight that this novel DCE-MRI analysis approach can be used to evaluate tumour microvascular changes during treatment and the need for future larger clinical studies investigating its role in predicting antiangiogenic therapy response.
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spelling doaj.art-2dfb13c82ea24b10b0f0c2b39bad6a9a2023-11-19T12:25:10ZengMDPI AGPharmaceuticals1424-82472023-09-01169128210.3390/ph16091282A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II NeurofibromatosisKa-Loh Li0Daniel Lewis1Xiaoping Zhu2David J. Coope3Ibrahim Djoukhadar4Andrew T. King5Timothy Cootes6Alan Jackson7Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UKGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UKDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UKGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UKDepartment of Neuroradiology, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UKGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UKDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UKDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UKThis study aimed to develop and evaluate a new DCE-MRI processing technique that combines LEGATOS, a dual-temporal resolution DCE-MRI technique, with multi-kinetic models. This technique enables high spatial resolution interrogation of flow and permeability effects, which is currently challenging to achieve. Twelve patients with neurofibromatosis type II-related vestibular schwannoma (20 tumours) undergoing bevacizumab therapy were imaged at 1.5 T both before and at 90 days following treatment. Using the new technique, whole-brain, high spatial resolution images of the contrast transfer coefficient (K<sup>trans</sup>), vascular fraction (v<sub>p</sub>), extravascular extracellular fraction (v<sub>e</sub>), capillary plasma flow (F<sub>p</sub>), and the capillary permeability-surface area product (PS) could be obtained, and their predictive value was examined. Of the five microvascular parameters derived using the new method, baseline PS exhibited the strongest correlation with the baseline tumour volume (<i>p</i> = 0.03). Baseline v<sub>e</sub> showed the strongest correlation with the change in tumour volume, particularly the percentage tumour volume change at 90 days after treatment (<i>p</i> < 0.001), and PS demonstrated a larger reduction at 90 days after treatment (<i>p</i> = 0.0001) when compared to K<sup>trans</sup> or F<sub>p</sub> alone. Both the capillary permeability-surface area product (PS) and the extravascular extracellular fraction (v<sub>e</sub>) significantly differentiated the ‘responder’ and ‘non-responder’ tumour groups at 90 days (<i>p</i> < 0.05 and <i>p</i> < 0.001, respectively). These results highlight that this novel DCE-MRI analysis approach can be used to evaluate tumour microvascular changes during treatment and the need for future larger clinical studies investigating its role in predicting antiangiogenic therapy response.https://www.mdpi.com/1424-8247/16/9/1282bevacizumabDCE-MRIneurofibromatosis type 2predictiontreatment response
spellingShingle Ka-Loh Li
Daniel Lewis
Xiaoping Zhu
David J. Coope
Ibrahim Djoukhadar
Andrew T. King
Timothy Cootes
Alan Jackson
A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
Pharmaceuticals
bevacizumab
DCE-MRI
neurofibromatosis type 2
prediction
treatment response
title A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
title_full A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
title_fullStr A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
title_full_unstemmed A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
title_short A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis
title_sort novel multi model high spatial resolution method for analysis of dce mri data insights from vestibular schwannoma responses to antiangiogenic therapy in type ii neurofibromatosis
topic bevacizumab
DCE-MRI
neurofibromatosis type 2
prediction
treatment response
url https://www.mdpi.com/1424-8247/16/9/1282
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