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Lewis D, McHugh DJ, Li KL, Zhu X, Mcbain C, Lloyd SK, Jackson A, Pathmanaban ON, King AT, Coope DJ. Detection of early changes in the post-radiosurgery vestibular schwannoma microenvironment using multinuclear MRI. Sci Rep 2021; 11:15712. [PMID: 34344960 PMCID: PMC8333359 DOI: 10.1038/s41598-021-95022-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/05/2021] [Indexed: 01/01/2023] Open
Abstract
Stereotactic radiosurgery (SRS) is an established, effective therapy against vestibular schwannoma (VS). The mechanisms of tumour response are, however, unknown and in this study we sought to evaluate changes in the irradiated VS tumour microenvironment through a multinuclear MRI approach. Five patients with growing sporadic VS underwent a multi-timepoint comprehensive MRI protocol, which included diffusion tensor imaging (DTI), dynamic contrast-enhanced (DCE) MRI and a spiral 23Na-MRI acquisition for total sodium concentration (TSC) quantification. Post-treatment voxelwise changes in TSC, DTI metrics and DCE-MRI derived microvascular biomarkers (Ktrans, ve and vp) were evaluated and compared against pre-treatment values. Changes in tumour TSC and microvascular parameters were observable as early as 2 weeks post-treatment, preceding changes in structural imaging. At 6 months post-treatment there were significant voxelwise increases in tumour TSC (p < 0.001) and mean diffusivity (p < 0.001, repeated-measures ANOVA) with marked decreases in tumour microvascular parameters (p < 0.001, repeated-measures ANOVA). This study presents the first in vivo evaluation of alterations in the VS tumour microenvironment following SRS, demonstrating that changes in tumour sodium homeostasis and microvascular parameters can be imaged as early as 2 weeks following treatment. Future studies should seek to investigate these clinically relevant MRI metrics as early biomarkers of SRS response.
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Affiliation(s)
- Daniel Lewis
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK.
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK.
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK.
| | - Damien J McHugh
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Catherine Mcbain
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Department of Clinical Oncology, Christie NHS Foundation Trust, Manchester, UK
| | - Simon K Lloyd
- Department of Otolaryngology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Andrew T King
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, Faculty of Biology Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, UK
| | - David J Coope
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
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Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models. CONTRAST MEDIA & MOLECULAR IMAGING 2019; 2019:8946729. [PMID: 31598114 PMCID: PMC6778915 DOI: 10.1155/2019/8946729] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/28/2019] [Accepted: 07/25/2019] [Indexed: 12/18/2022]
Abstract
Precision and personalized medicine is gaining importance in modern clinical medicine, as it aims to improve diagnostic precision and to reduce consequent therapeutic failures. In this regard, prior to use in human trials, animal models can help evaluate novel imaging approaches and therapeutic strategies and can help discover new biomarkers. Breast cancer is the most common malignancy in women worldwide, accounting for 25% of cases of all cancers and is responsible for approximately 500,000 deaths per year. Thus, it is important to identify accurate biomarkers for precise stratification of affected patients and for early detection of responsiveness to the selected therapeutic protocol. This review aims to summarize the latest advancements in preclinical molecular imaging in breast cancer mouse models. Positron emission tomography (PET) imaging remains one of the most common preclinical techniques used to evaluate biomarker expression in vivo, whereas magnetic resonance imaging (MRI), particularly diffusion-weighted (DW) sequences, has been demonstrated as capable of distinguishing responders from nonresponders for both conventional and innovative chemo- and immune-therapies with high sensitivity and in a noninvasive manner. The ability to customize therapies is desirable, as this will enable early detection of diseases and tailoring of treatments to individual patient profiles. Animal models remain irreplaceable in the effort to understand the molecular mechanisms and patterns of oncologic diseases.
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Curry FE, Taxt T, Rygh CB, Pavlin T, Bjørnstad R, Døskeland SO, Reed RK. Epac1 -/- mice have elevated baseline permeability and do not respond to histamine as measured with dynamic contrast-enhanced magnetic resonance imaging with contrast agents of different molecular weights. Acta Physiol (Oxf) 2019; 225:e13199. [PMID: 30300965 PMCID: PMC6646910 DOI: 10.1111/apha.13199] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 09/29/2018] [Accepted: 10/04/2018] [Indexed: 12/13/2022]
Abstract
Aim Epac1−/− mice, but not Epac2−/− mice have elevated baseline permeability to albumin. This study extends the investigations of how Epac‐dependent pathways modulate transvascular exchange in response to the classical inflammatory agent histamine. It also evaluates the limitations of models of blood‐to‐tissue exchange in transgenic mice in DCE‐MRI measurements. Methods We measured DCE‐MRI signal intensity in masseter muscle of wt and Epac1−/− mice with established approaches from capillary physiology to determine how changes in blood flow and vascular permeability contribute to overall changes of microvascular flux. We used two tracers, the high molecular weight tracer (Gadomer‐17, MW 17 kDa, apparent MW 30‐35 kDa) is expected to be primarily limited by diffusion and therefore less dependent on changes in blood flow and the low molecular weight tracer (Dotarem (MW 0.56 kDa) whose transvascular exchange is determined by both blood flow and permeability. Paired experiments in each animal combined with analytical methods provided an internally consistent description of microvascular transport. Results Epac1−/− mice had elevated baseline permeability relative to wt control mice for Dotarem and Gadomer‐17. In contrast to wt mice, Epac1−/− mice failed to increase transvascular permeability in response to histamine. Dotarem underestimated blood flow and vascular volume and Gadomer‐17 has limited sensitivity in extravascular accumulation. Conclusion The study suggests that the normal barrier loosening effect of histamine in venular microvessels do not function when the normal barrier tightening effect of Epac1 is already compromised. The study also demonstrated that the numerical analysis of DCE‐MRI data with tracers of different molecular weight has significant limitations.
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Affiliation(s)
- Fitz‐Roy E. Curry
- Department of Physiology and Membrane Biology University of California Davis Davis California
| | - Torfinn Taxt
- Department of Biomedicine University of Bergen Bergen Norway
| | - Cecilie Brekke Rygh
- Department of Biomedicine University of Bergen Bergen Norway
- Molecular Imaging Centre Department of Biomedicine University of Bergen Bergen Norway
| | - Tina Pavlin
- Department of Biomedicine University of Bergen Bergen Norway
- Molecular Imaging Centre Department of Biomedicine University of Bergen Bergen Norway
| | - Ronja Bjørnstad
- Department of Biomedicine University of Bergen Bergen Norway
| | | | - Rolf K. Reed
- Department of Biomedicine University of Bergen Bergen Norway
- Centre for Cancer Biomarkers University of Bergen Bergen Norway
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