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O'Connor JPB, Tessyman V, Little RA, Babur M, Forster D, Latif A, Cheung S, Lipowska-Bhalla G, Higgins GS, Asselin MC, Parker GJM, Williams KJ. Combined Oxygen-Enhanced MRI and Perfusion Imaging Detect Hypoxia Modification from Banoxantrone and Atovaquone and Track Their Differential Mechanisms of Action. CANCER RESEARCH COMMUNICATIONS 2024; 4:2565-2574. [PMID: 39240065 PMCID: PMC11443776 DOI: 10.1158/2767-9764.crc-24-0315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/26/2024] [Accepted: 09/04/2024] [Indexed: 09/07/2024]
Abstract
Oxygen-enhanced MRI (OE-MRI) has shown promise for quantifying and spatially mapping tumor hypoxia, either alone or in combination with perfusion imaging. Previous studies have validated the technique in mouse models and in patients with cancer. Here, we report the first evidence that OE-MRI can track change in tumor oxygenation induced by two drugs designed to modify hypoxia. Mechanism of action of banoxantrone and atovaquone were confirmed using in vitro experiments. Next, in vivo OE-MRI studies were performed in Calu6 and U87 xenograft tumor models, alongside fluorine-18-fluoroazomycin arabinoside PET and immunohistochemistry assays of hypoxia. Neither drug altered tumor size. Banoxantrone reduced OE-MRI hypoxic fraction in Calu6 tumors by 52.5% ± 12.0% (P = 0.008) and in U87 tumors by 29.0% ± 15.8% (P = 0.004) after 3 days treatment. Atovaquone reduced OE-MRI hypoxic fraction in Calu6 tumors by 53.4% ± 15.3% (P = 0.002) after 7 days therapy. PET and immunohistochemistry provided independent validation of the MRI findings. Finally, combined OE-MRI and perfusion imaging showed that hypoxic tissue was converted into necrotic tissue when treated by the hypoxia-activated cytotoxic prodrug banoxantrone, whereas hypoxic tissue became normoxic when treated by atovaquone, an inhibitor of mitochondrial complex III of the electron transport chain. OE-MRI detected and quantified hypoxia reduction induced by two hypoxia-modifying therapies and could distinguish between their differential mechanisms of action. These data support clinical translation of OE-MRI biomarkers in clinical trials of hypoxia-modifying agents to identify patients demonstrating biological response and to optimize treatment timing and scheduling. Significance: For the first time, we show that hypoxic fraction measured by oxygen-enhanced MRI (OE-MRI) detected changes in tumor oxygenation induced by two drugs designed specifically to modify hypoxia. Furthermore, when combined with perfusion imaging, OE-MRI hypoxic volume distinguished the two drug mechanisms of action. This imaging technology has potential to facilitate drug development, enrich clinical trial design, and accelerate clinical translation of novel therapeutics into clinical use.
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Affiliation(s)
- James P B O'Connor
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Victoria Tessyman
- Division of Pharmacy and Optometry, University of Manchester, Manchester, United Kingdom
| | - Ross A Little
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Muhammad Babur
- Division of Pharmacy and Optometry, University of Manchester, Manchester, United Kingdom
| | - Duncan Forster
- Cancer Research UK Manchester Centre, University of Manchester, Manchester, United Kingdom
| | - Ayşe Latif
- Division of Pharmacy and Optometry, University of Manchester, Manchester, United Kingdom
| | - Susan Cheung
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | | | - Geoff S Higgins
- CRUK/MRC Oxford Institute for Radiation Oncology and Biology, University of Oxford, Oxford, United Kingdom
| | - Marie-Claude Asselin
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Geoff J M Parker
- Bioxydyn Ltd., Manchester, United Kingdom
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Kaye J Williams
- Division of Pharmacy and Optometry, University of Manchester, Manchester, United Kingdom
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Brighi C, Waddington DEJ, Keall PJ, Booth J, O’Brien K, Silvester S, Parkinson J, Mueller M, Yim J, Bailey DL, Back M, Drummond J. The MANGO study: a prospective investigation of oxygen enhanced and blood-oxygen level dependent MRI as imaging biomarkers of hypoxia in glioblastoma. Front Oncol 2023; 13:1306164. [PMID: 38192626 PMCID: PMC10773871 DOI: 10.3389/fonc.2023.1306164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
Background Glioblastoma (GBM) is the most aggressive type of brain cancer, with a 5-year survival rate of ~5% and most tumours recurring locally within months of first-line treatment. Hypoxia is associated with worse clinical outcomes in GBM, as it leads to localized resistance to radiotherapy and subsequent tumour recurrence. Current standard of care treatment does not account for tumour hypoxia, due to the challenges of mapping tumour hypoxia in routine clinical practice. In this clinical study, we aim to investigate the role of oxygen enhanced (OE) and blood-oxygen level dependent (BOLD) MRI as non-invasive imaging biomarkers of hypoxia in GBM, and to evaluate their potential role in dose-painting radiotherapy planning and treatment response assessment. Methods The primary endpoint is to evaluate the quantitative and spatial correlation between OE and BOLD MRI measurements and [18F]MISO values of uptake in the tumour. The secondary endpoints are to evaluate the repeatability of MRI biomarkers of hypoxia in a test-retest study, to estimate the potential clinical benefits of using MRI biomarkers of hypoxia to guide dose-painting radiotherapy, and to evaluate the ability of MRI biomarkers of hypoxia to assess treatment response. Twenty newly diagnosed GBM patients will be enrolled in this study. Patients will undergo standard of care treatment while receiving additional OE/BOLD MRI and [18F]MISO PET scans at several timepoints during treatment. The ability of OE/BOLD MRI to map hypoxic tumour regions will be evaluated by assessing spatial and quantitative correlations with areas of hypoxic tumour identified via [18F]MISO PET imaging. Discussion MANGO (Magnetic resonance imaging of hypoxia for radiation treatment guidance in glioblastoma multiforme) is a diagnostic/prognostic study investigating the role of imaging biomarkers of hypoxia in GBM management. The study will generate a large amount of longitudinal multimodal MRI and PET imaging data that could be used to unveil dynamic changes in tumour physiology that currently limit treatment efficacy, thereby providing a means to develop more effective and personalised treatments.
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Affiliation(s)
- Caterina Brighi
- Image X Institute, Sydney School of Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - David E. J. Waddington
- Image X Institute, Sydney School of Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Paul J. Keall
- Image X Institute, Sydney School of Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Jeremy Booth
- Department of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- Institute of Medical Physics, School of Physics, The University of Sydney, Sydney, NSW, Australia
| | | | - Shona Silvester
- Image X Institute, Sydney School of Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Jonathon Parkinson
- Department of Neurosurgery, Royal North Shore Hospital, Sydney, NSW, Australia
- The Brain Cancer Group Sydney, St Leonards, NSW, Australia
| | - Marco Mueller
- Siemens Healthcare Pty Ltd, Brisbane, QLD, Australia
| | - Jackie Yim
- Department of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- The Brain Cancer Group Sydney, St Leonards, NSW, Australia
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia
| | - Dale L. Bailey
- Department of Nuclear Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Michael Back
- Department of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- The Brain Cancer Group Sydney, St Leonards, NSW, Australia
| | - James Drummond
- Department of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- The Brain Cancer Group Sydney, St Leonards, NSW, Australia
- Department of Neuroradiology, Royal North Shore Hospital, Sydney, NSW, Australia
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Lickliter JD, Ruben J, Kichenadasse G, Jennens R, Gzell C, Mason RP, Zhou H, Becker J, Unger E, Stea B. Dodecafluoropentane Emulsion as a Radiosensitizer in Glioblastoma Multiforme. CANCER RESEARCH COMMUNICATIONS 2023; 3:1607-1614. [PMID: 37609003 PMCID: PMC10441549 DOI: 10.1158/2767-9764.crc-22-0433] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/13/2023] [Accepted: 07/17/2023] [Indexed: 08/24/2023]
Abstract
Purpose Glioblastoma multiforme (GBM) is a hypoxic tumor resistant to radiotherapy. The purpose of this study was to assess the safety and efficacy of a novel oxygen therapeutic, dodecafluoropentane emulsion (DDFPe), in chemoradiation treatment of GBM. Experimental Design In this multicenter phase Ib/II dose-escalation study, patients were administered DDFPe via intravenous infusion (0.05, 0.10, or 0.17 mL/kg) while breathing supplemental oxygen prior to each 2 Gy fraction of radiotherapy (30 fractions over 6 weeks). Patients also received standard-of-care chemotherapy [temozolomide (TMZ)]. Serial MRI scans were taken to monitor disease response. Adverse events were recorded and graded. TOLD (tissue oxygenation level-dependent) contrast MRI was obtained to validate modulation of tumor hypoxia. Results Eleven patients were enrolled. DDFPe combined with radiotherapy and TMZ was well tolerated in most patients. Two patients developed delayed grade 3 radiation necrosis during dose escalation, one each at 0.1 and 0.17 mL/kg of DDFPe. Subsequent patients were treated at the 0.1 mL/kg dose level. Kaplan-Meier analysis showed a median overall survival of 19.4 months and a median progression-free survival of 9.6 months, which compares favorably to historical controls. Among 6 patients evaluable for TOLD MRI, a statistically significant reduction in tumor T1 was observed after DDFPe treatment. Conclusions This trial, although small, showed that the use of DDFPe as a radiosensitizer in patients with GBM was generally safe and may provide a survival benefit. This is also the first time than TOLD MRI has shown reversal of tumor hypoxia in a clinical trial in patients. The recommended dose for phase II evaluation is 0.1 mL/kg DDFPe.Trial Registration: NCT02189109. Significance This study shows that DDFPe can be safely administered to patients, and it is the first-in-human study to show reversal of hypoxia in GBM as measured by TOLD MRI. This strategy is being used in a larger phase II/III trial which will hopefully show a survival benefit by adding DDFPe during the course of fractionated radiation and concurrent chemotherapy.
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Affiliation(s)
| | - Jeremy Ruben
- Monash University, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Ganessan Kichenadasse
- Flinders Centre for Innovation in Cancer, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Ross Jennens
- Epworth Healthcare, Richmond, Victoria, Australia
| | - Cecelia Gzell
- Genesis Care, St. Vincent's Hospital, Sydney, New South Wales, Australia
| | | | - Heling Zhou
- Department of Radiology, UT Southwestern, Dallas, Texas
| | | | | | - Baldassarre Stea
- Department of Radiation Oncology, University of Arizona, Tucson, Arizona
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Perez RC, Kim D, Maxwell AWP, Camacho JC. Functional Imaging of Hypoxia: PET and MRI. Cancers (Basel) 2023; 15:3336. [PMID: 37444446 DOI: 10.3390/cancers15133336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Molecular and functional imaging have critical roles in cancer care. Existing evidence suggests that noninvasive detection of hypoxia within a particular type of cancer can provide new information regarding the relationship between hypoxia, cancer aggressiveness and altered therapeutic responses. Following the identification of hypoxia inducible factor (HIF), significant progress in understanding the regulation of hypoxia-induced genes has been made. These advances have provided the ability to therapeutically target HIF and tumor-associated hypoxia. Therefore, by utilizing the molecular basis of hypoxia, hypoxia-based theranostic strategies are in the process of being developed which will further personalize care for cancer patients. The aim of this review is to provide an overview of the significance of tumor hypoxia and its relevance in cancer management as well as to lay out the role of imaging in detecting hypoxia within the context of cancer.
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Affiliation(s)
- Ryan C Perez
- Florida State University College of Medicine, Tallahassee, FL 32306, USA
| | - DaeHee Kim
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Aaron W P Maxwell
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Juan C Camacho
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA
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Fortier V, Levesque IR. MR-oximetry with fat DESPOT. Magn Reson Imaging 2023; 97:112-121. [PMID: 36608912 DOI: 10.1016/j.mri.2022.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/23/2022] [Accepted: 12/31/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE The R1 relaxation rate of fat is a promising marker of tissue oxygenation. Existing techniques to map fat R1 in MR-oximetry offer limited spatial coverage, require long scan times, or pulse sequences that are not readily available on clinical scanners. This work addresses these limitations with a 3D voxel-wise fat R1 mapping technique for MR-oximetry based on a variable flip angle (VFA) approach at 3 T. METHODS Varying levels of dissolved oxygen (O2) were generated in a phantom consisting of vials of safflower oil emulsion, used to approximate human fat. Joint voxel-wise mapping of fat and water R1 was performed with a two-compartment VFA model fitted to multi-echo gradient-echo magnitude data acquired at four flip angles, referred to as Fat DESPOT. Global R1 was also calculated. Variations of fat, water, and global R1 were investigated as a function of the partial pressure of O2 (pO2). Inversion-prepared stimulated echo magnetic resonance spectroscopy was used as the reference technique for R1 measurements. RESULTS Fat R1 from Fat DESPOT was more sensitive than water R1 and global R1 to variations in pO2, consistent with previous studies performed with different R1 mapping techniques. Fat R1 sensitivity to pO2 variations with Fat DESPOT (median O2 relaxivity r1, O2 = 1.57× 10-3 s-1 mmHg-1) was comparable to spectroscopy-based measurements for methylene, the main fat resonance (median r1, O2= 1.80 × 10-3 s-1 mmHg-1). CONCLUSION Fat and water R1 can be measured on a voxel-wise basis using a two-component fit to multi-echo 3D VFA magnitude data in a clinically acceptable scan time. Fat and water R1 measured with Fat DESPOT were sensitive to variations in pO2. These observations suggest an approach to 3D in vivo MR oximetry.
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Affiliation(s)
- Véronique Fortier
- Medical Physics Unit, McGill University, Montréal, QC, Canada; Biomedical Engineering, McGill University, Montréal, QC, Canada; Medical Imaging, McGill University Health Centre, Montréal, QC, Canada; Department of Diagnostic Radiology, McGill University, Montréal, QC, Canada; Gerald Bronfman Department of Oncology, McGill University, Montréal, QC, Canada.
| | - Ives R Levesque
- Medical Physics Unit, McGill University, Montréal, QC, Canada; Biomedical Engineering, McGill University, Montréal, QC, Canada; Gerald Bronfman Department of Oncology, McGill University, Montréal, QC, Canada; Research Institute of the McGill University Health Centre, Montréal, QC, Canada
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Bluemke E, Young LAJ, Owen J, Smart S, Kinchesh P, Bulte DP, Stride E. Determination of oxygen relaxivity in oxygen nanobubbles at 3 and 7 Tesla. MAGMA (NEW YORK, N.Y.) 2022; 35:817-826. [PMID: 35416627 PMCID: PMC9463275 DOI: 10.1007/s10334-022-01009-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Oxygen-loaded nanobubbles have shown potential for reducing tumour hypoxia and improving treatment outcomes, however, it remains difficult to noninvasively measure the changes in partial pressure of oxygen (PO2) in vivo. The linear relationship between PO2 and longitudinal relaxation rate (R1) has been used to noninvasively infer PO2 in vitreous and cerebrospinal fluid, and therefore, this experiment aimed to investigate whether R1 is a suitable measurement to study oxygen delivery from such oxygen carriers. METHODS T1 mapping was used to measure R1 in phantoms containing nanobubbles with varied PO2 to measure the relaxivity of oxygen (r1Ox) in the phantoms at 7 and 3 T. These measurements were used to estimate the limit of detection (LOD) in two experimental settings: preclinical 7 T and clinical 3 T MRI. RESULTS The r1Ox in the nanobubble solution was 0.00057 and 0.000235 s-1/mmHg, corresponding to a LOD of 111 and 103 mmHg with 95% confidence at 7 and 3 T, respectively. CONCLUSION This suggests that T1 mapping could provide a noninvasive method of measuring a > 100 mmHg oxygen delivery from therapeutic nanobubbles.
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Affiliation(s)
- Emma Bluemke
- Department of Engineering Sciences, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
| | - Liam A J Young
- Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK
| | - Joshua Owen
- Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Sean Smart
- Department of Oncology, Radiobiology Research Institute, University of Oxford, Oxford, UK
| | - Paul Kinchesh
- Department of Oncology, Radiobiology Research Institute, University of Oxford, Oxford, UK
| | - Daniel P Bulte
- Department of Engineering Sciences, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Eleanor Stride
- Department of Engineering Sciences, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
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Bluemke E, Stride E, Bulte DP. Modeling the Effect of Hyperoxia on the Spin-Lattice Relaxation Rate R1 of Tissues. Magn Reson Med 2022; 88:1867-1885. [PMID: 35678239 PMCID: PMC9545427 DOI: 10.1002/mrm.29315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/05/2022] [Accepted: 05/09/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE Inducing hyperoxia in tissues is common practice in several areas of research, including oxygen-enhanced MRI (OE-MRI), which attempts to use the resulting signal changes to detect regions of tumor hypoxia or pulmonary disease. The linear relationship between PO2 and R1 has been reproduced in phantom solutions and body fluids such as vitreous fluid; however, in tissue and blood experiments, factors such as changes in deoxyhemoglobin levels can also affect the ΔR1. THEORY AND METHODS This manuscript proposes a three-compartment model for estimating the hyperoxia-induced changes in R1 of tissues depending on B0, SO2 , blood volume, hematocrit, oxygen extraction fraction, and changes in blood and tissue PO2 . The model contains two blood compartments (arterial and venous) and a tissue compartment. This model has been designed to be easy for researchers to tailor to their tissue of interest by substituting their preferred model for tissue oxygen diffusion and consumption. A specific application of the model is demonstrated by calculating the resulting ΔR1 expected in healthy, hypoxic and necrotic tumor tissues. In addition, the effect of sex-based hematocrit differences on ΔR1 is assessed. RESULTS The ΔR1 values predicted by the model are consistent with reported literature OE-MRI results: with larger positive changes in the vascular periphery than hypoxic and necrotic regions. The observed sex-based differences in ΔR1 agree with findings by Kindvall et al. suggesting that differences in hematocrit levels may sometimes be a confounding factor in ΔR1. CONCLUSION This model can be used to estimate the expected tissue ΔR1 in oxygen-enhanced MRI experiments.
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Affiliation(s)
- Emma Bluemke
- Institute of Biomedical Engineering, Department of Engineering Sciences, University of Oxford, Oxford, UK
| | - Eleanor Stride
- Institute of Biomedical Engineering, Department of Engineering Sciences, University of Oxford, Oxford, UK
| | - Daniel Peter Bulte
- Institute of Biomedical Engineering, Department of Engineering Sciences, University of Oxford, Oxford, UK
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Ge X, Song KH, Engelbach JA, Yuan L, Gao F, Dahiya S, Rich KM, Ackerman JJH, Garbow JR. Distinguishing Tumor Admixed in a Radiation Necrosis (RN) Background: 1H and 2H MR With a Novel Mouse Brain-Tumor/RN Model. Front Oncol 2022; 12:885480. [PMID: 35712497 PMCID: PMC9196939 DOI: 10.3389/fonc.2022.885480] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose Distinguishing radiation necrosis (RN) from recurrent tumor remains a vexing clinical problem with important health-care consequences for neuro-oncology patients. Here, mouse models of pure tumor, pure RN, and admixed RN/tumor are employed to evaluate hydrogen (1H) and deuterium (2H) magnetic resonance methods for distinguishing RN vs. tumor. Furthermore, proof-of-principle, range-finding deuterium (2H) metabolic magnetic resonance is employed to assess glycolytic signatures distinguishing RN vs. tumor. Materials and Methods A pipeline of common quantitative 1H MRI contrasts, including an improved magnetization transfer ratio (MTR) sequence, and 2H magnetic resonance spectroscopy (MRS) following administration of 2H-labeled glucose, was applied to C57BL/6 mouse models of the following: (i) late time-to-onset RN, occurring 4–5 weeks post focal 50-Gy (50% isodose) Gamma Knife irradiation to the left cerebral hemisphere, (ii) glioblastoma, growing ~18–24 days post implantation of 50,000 mouse GL261 tumor cells into the left cerebral hemisphere, and (iii) mixed model, with GL261 tumor growing within a region of radiation necrosis (1H MRI only). Control C57BL/6 mice were also examined by 2H metabolic magnetic resonance. Results Differences in quantitative 1H MRI parametric values of R1, R2, ADC, and MTR comparing pure tumor vs. pure RN were all highly statistically significant. Differences in these parameter values and DCEAUC for tumor vs. RN in the mixed model (tumor growing in an RN background) are also all significant, demonstrating that these contrasts—in particular, MTR—can effectively distinguish tumor vs. RN. Additionally, quantitative 2H MRS showed a highly statistically significant dominance of aerobic glycolysis (glucose ➔ lactate; fermentation, Warburg effect) in the tumor vs. oxidative respiration (glucose ➔ TCA cycle) in the RN and control brain. Conclusions These findings, employing a pipeline of quantitative 1H MRI contrasts and 2H MRS following administration of 2H-labeled glucose, suggest a pathway for substantially improving the discrimination of tumor vs. RN in the clinic.
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Affiliation(s)
- Xia Ge
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - Kyu-Ho Song
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - John A Engelbach
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - Liya Yuan
- Department of Neurosurgery, Washington University, Saint Louis, MO, United States
| | - Feng Gao
- Department of Surgery, Washington University, Saint Louis, MO, United States
| | - Sonika Dahiya
- Division of Neuropathology, Department of Pathology and Immunology, Washington University, Saint Louis, MO, United States
| | - Keith M Rich
- Department of Neurosurgery, Washington University, Saint Louis, MO, United States
| | - Joseph J H Ackerman
- Department of Radiology, Washington University, Saint Louis, MO, United States.,Alvin J. Siteman Cancer Center, Washington University, Saint Louis, MO, United States.,Department of Internal Medicine, Washington University, Saint Louis, MO, United States.,Department of Chemistry, Washington University, Saint Louis, MO, United States
| | - Joel R Garbow
- Department of Radiology, Washington University, Saint Louis, MO, United States.,Alvin J. Siteman Cancer Center, Washington University, Saint Louis, MO, United States
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Using Variable Flip Angle (VFA) and Modified Look-Locker Inversion Recovery (MOLLI) T1 mapping in clinical OE-MRI. Magn Reson Imaging 2022; 89:92-99. [PMID: 35341905 DOI: 10.1016/j.mri.2022.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/16/2022] [Accepted: 03/19/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND PURPOSE The imaging technique known as Oxygen-Enhanced MRI is under development as a noninvasive technique for imaging hypoxia in tumours and pulmonary diseases. While promising results have been shown in preclinical experiments, clinical studies have mentioned experiencing difficulties with patient motion, image registration, and the limitations of single-slice images compared to 3D volumes. As clinical studies begin to assess feasibility of using OE-MRI in patients, it is important for researchers to communicate about the practical challenges experienced when using OE-MRI on patients to help the technique advance. MATERIALS AND METHODS We report on our experience with using two types of T1 mapping (MOLLI and VFA) for a recently completed OE-MRI clinical study on oropharyngeal squamous cell carcinoma. RESULTS We report: (1) the artefacts and practical difficulties encountered in this study; (2) the difference in estimated T1 from each method used - the VFA T1 estimation was higher than the MOLLI estimation by 27% on average; (3) the standard deviation within the tumour ROIs - there was no significant difference in the standard deviation seen within the tumour ROIs from the VFA versus MOLLI; and (4) the OE-MRI response collected from either method. Lastly, we collated the MRI acquisition details from over 45 relevant manuscripts as a convenient reference for researchers planning future studies. CONCLUSION We have reported our practical experience from an OE-MRI clinical study, with the aim that sharing this is helpful to researchers planning future studies. In this study, VFA was a more useful technique for using OE-MRI in tumours than MOLLI T1 mapping.
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Bluemke E, Stride E, Bulte DP. A simplified empirical model to estimate oxygen relaxivity at different magnetic fields. NMR IN BIOMEDICINE 2022; 35:e4625. [PMID: 34599536 PMCID: PMC11475509 DOI: 10.1002/nbm.4625] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/07/2021] [Accepted: 09/08/2021] [Indexed: 06/13/2023]
Abstract
The change in longitudinal relaxation rate (R1 ) produced by oxygen has been used as a means of inferring oxygenation levels in magnetic resonance imaging in numerous applications. The relationship between oxygen partial pressure (pO2 ) and R1 is linear and reproducible, and the slope represents the relaxivity of oxygen (r1Ox ) in that material. However, there is considerable variability in the values of r1Ox reported, and they have been shown to vary by field strength and temperature. Therefore, we have compiled 28 reported empirical values of the relaxivity of oxygen as a resource for researchers. Furthermore, we provide an empirical model for estimating the relaxivity of oxygen in water, saline, plasma, and vitreous fluids, accounting for magnetic field strength and temperature. The model agrees well (R2 = 0.93) with the data gathered from the literature for fields ranging from 0.011 to 8.45 T and temperatures of 21-40 °C. This provides a useful resource for researchers seeking to quantify pO2 in simple fluids in their studies, such as water and saline phantoms, or bodily fluids such as vitreous fluids, cerebrospinal fluids, and amniotic fluids.
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Affiliation(s)
- Emma Bluemke
- Institute of Biomedical Engineering, Department of Engineering SciencesUniversity of OxfordUK
| | - Eleanor Stride
- Institute of Biomedical Engineering, Department of Engineering SciencesUniversity of OxfordUK
| | - Daniel Peter Bulte
- Institute of Biomedical Engineering, Department of Engineering SciencesUniversity of OxfordUK
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Duan Z, Luo Q, Gu L, Li X, Zhu H, Gu Z, Gong Q, Zhang H, Luo K. A co-delivery nanoplatform for a lignan-derived compound and perfluorocarbon tuning IL-25 secretion and the oxygen level in tumor microenvironments for meliorative tumor radiotherapy. NANOSCALE 2021; 13:13681-13692. [PMID: 34477643 DOI: 10.1039/d1nr03738b] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
A hypoxic environment in tumors hampers the therapeutic efficacy of radiotherapy. Moreover, radiotherapy, a localized treatment technique, can barely control tumor metastases. Herein, poly(lactic-co-glycolic acid) was used to encapsulate perfluorocarbon (PFC) for increasing the oxygen level and a lignan-derived compound (Q1) for enhancing IL-25 secretion from fibroblasts, thereby boosting the radiotherapeutic effect on local and distant tumors. The prepared co-delivery nanoplatform, PFC-Q1@PLGA, has a nano-scale size of around 160 nm and a negative zeta potential (about -13 mV). PFC-Q1@PLGA treatment leads to an arrest of the G2 phase (4n) in the cell cycle and reduces the mitochondria membrane potential. A high expression level of IL-25 in fibroblasts is detected after the cells are treated with PFC-Q1@PLGA, which increases the late apoptosis percentage of 4T1 cells after treatment with IL-25-containing conditional medium from fibroblasts. The oxygen level in tumors is significantly promoted to about 52.3% after injection of oxygen-saturated PFC-Q1@PLGA (O2), which is confirmed from the functional magnetic resonance images of the tumor site in mice. The in vivo study demonstrates that the injection of PFC-Q1@PLGA (O2) into local tumors significantly enhances the radiotherapeutic effect on local tumors and also inhibits the growth of remote tumors by an enhanced abscopal effect. This study presents a novel radiotherapy strategy to enable synergistic whole-body therapeutic responses after localized treatment with PFC-Q1@PLGA (O2).
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Affiliation(s)
- Zhenyu Duan
- Laboratory of Stem Cell Biology, and Huaxi MR Research Center (HMRRC), Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
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12
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Oxygen-Sensitive MRI: A Predictive Imaging Biomarker for Tumor Radiation Response? Int J Radiat Oncol Biol Phys 2021; 110:1519-1529. [PMID: 33775857 DOI: 10.1016/j.ijrobp.2021.03.039] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 03/15/2021] [Accepted: 03/21/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE To develop a noninvasive prognostic imaging biomarker related to hypoxia to predict SABR tumor control. METHODS AND MATERIALS A total of 145 subcutaneous syngeneic Dunning prostate R3327-AT1 rat tumors were focally irradiated once using cone beam computed tomography guidance on a small animal irradiator at 225 kV. Various doses in the range of 0 to 100 Gy were administered, while rats breathed air or oxygen, and tumor control was assessed up to 200 days. Oxygen-sensitive magnetic resonance imaging (MRI) (T1-weighted, ΔR1, ΔR2*) was applied to 79 of these tumors at 4.7 T to assess response to an oxygen gas breathing challenge on the day before irradiation as a probe of tumor hypoxia. RESULTS Increasing radiation dose in the range of 0 to 90 Gy enhanced tumor control of air-breathing rats with a TCD50 estimated at 59.6 ± 1.5 Gy. Control was significantly improved at some doses when rats breathed oxygen during irradiation (eg, 40 Gy; P < .05), and overall there was a modest left shift in the control curve: TCD50(oxygen) = 53.1 ± 3.1 Gy (P < .05 vs air). Oxygen-sensitive MRI showed variable response to oxygen gas breathing challenge; the magnitude of T1-weighted signal response (%ΔSI) allowed stratification of tumors in terms of local control at 40 Gy. Tumors showing %ΔSI >0.922 with O2-gas breathing challenge showed significantly better control at 40 Gy during irradiation while breathing oxygen (75% vs 0%, P < .01). In addition, increased radiation dose (50 Gy) substantially overcame resistance, with 50% control for poorly oxygenated tumors. Stratification of dose-response curves based on %ΔSI >0.922 revealed different survival curves, with TCD50 = 36.2 ± 3.2 Gy for tumors responsive to oxygen gas breathing challenge; this was significantly less than the 54.7 ± 2.4 Gy for unresponsive tumors (P < .005), irrespective of the gas inhaled during tumor irradiation. CONCLUSIONS Oxygen-sensitive MRI allowed stratification of tumors in terms of local control at 40 Gy, indicating its use as a potential predictive imaging biomarker. Increasing dose to 50 Gy overcame radiation resistance attributable to hypoxia in 50% of tumors.
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13
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Liu L, O’Kelly D, Schuetze R, Carlson G, Zhou H, Trawick ML, Pinney KG, Mason RP. Non-Invasive Evaluation of Acute Effects of Tubulin Binding Agents: A Review of Imaging Vascular Disruption in Tumors. Molecules 2021; 26:2551. [PMID: 33925707 PMCID: PMC8125421 DOI: 10.3390/molecules26092551] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 04/15/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022] Open
Abstract
Tumor vasculature proliferates rapidly, generally lacks pericyte coverage, and is uniquely fragile making it an attractive therapeutic target. A subset of small-molecule tubulin binding agents cause disaggregation of the endothelial cytoskeleton leading to enhanced vascular permeability generating increased interstitial pressure. The resulting vascular collapse and ischemia cause downstream hypoxia, ultimately leading to cell death and necrosis. Thus, local damage generates massive amplification and tumor destruction. The tumor vasculature is readily accessed and potentially a common target irrespective of disease site in the body. Development of a therapeutic approach and particularly next generation agents benefits from effective non-invasive assays. Imaging technologies offer varying degrees of sophistication and ease of implementation. This review considers technological strengths and weaknesses with examples from our own laboratory. Methods reveal vascular extent and patency, as well as insights into tissue viability, proliferation and necrosis. Spatiotemporal resolution ranges from cellular microscopy to single slice tomography and full three-dimensional views of whole tumors and measurements can be sufficiently rapid to reveal acute changes or long-term outcomes. Since imaging is non-invasive, each tumor may serve as its own control making investigations particularly efficient and rigorous. The concept of tumor vascular disruption was proposed over 30 years ago and it remains an active area of research.
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Affiliation(s)
- Li Liu
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (L.L.); (D.O.); (R.S.); (H.Z.)
| | - Devin O’Kelly
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (L.L.); (D.O.); (R.S.); (H.Z.)
| | - Regan Schuetze
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (L.L.); (D.O.); (R.S.); (H.Z.)
| | - Graham Carlson
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX 76798, USA; (G.C.); (M.L.T.); (K.G.P.)
| | - Heling Zhou
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (L.L.); (D.O.); (R.S.); (H.Z.)
| | - Mary Lynn Trawick
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX 76798, USA; (G.C.); (M.L.T.); (K.G.P.)
| | - Kevin G. Pinney
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX 76798, USA; (G.C.); (M.L.T.); (K.G.P.)
| | - Ralph P. Mason
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (L.L.); (D.O.); (R.S.); (H.Z.)
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14
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Serkova NJ, Glunde K, Haney CR, Farhoud M, De Lille A, Redente EF, Simberg D, Westerly DC, Griffin L, Mason RP. Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer. Cancer Res 2021; 81:1189-1200. [PMID: 33262127 PMCID: PMC8026542 DOI: 10.1158/0008-5472.can-20-0373] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/10/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022]
Abstract
In animal models of cancer, oncologic imaging has evolved from a simple assessment of tumor location and size to sophisticated multimodality exploration of molecular, physiologic, genetic, immunologic, and biochemical events at microscopic to macroscopic levels, performed noninvasively and sometimes in real time. Here, we briefly review animal imaging technology and molecular imaging probes together with selected applications from recent literature. Fast and sensitive optical imaging is primarily used to track luciferase-expressing tumor cells, image molecular targets with fluorescence probes, and to report on metabolic and physiologic phenotypes using smart switchable luminescent probes. MicroPET/single-photon emission CT have proven to be two of the most translational modalities for molecular and metabolic imaging of cancers: immuno-PET is a promising and rapidly evolving area of imaging research. Sophisticated MRI techniques provide high-resolution images of small metastases, tumor inflammation, perfusion, oxygenation, and acidity. Disseminated tumors to the bone and lung are easily detected by microCT, while ultrasound provides real-time visualization of tumor vasculature and perfusion. Recently available photoacoustic imaging provides real-time evaluation of vascular patency, oxygenation, and nanoparticle distributions. New hybrid instruments, such as PET-MRI, promise more convenient combination of the capabilities of each modality, enabling enhanced research efficacy and throughput.
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Affiliation(s)
- Natalie J Serkova
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
- Animal Imaging Shared Resource, University of Colorado Cancer Center, Aurora, Colorado
| | - Kristine Glunde
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology, and the Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Chad R Haney
- Center for Advanced Molecular Imaging, Northwestern University, Evanston, Illinois
| | | | | | | | - Dmitri Simberg
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - David C Westerly
- Animal Imaging Shared Resource, University of Colorado Cancer Center, Aurora, Colorado
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lynn Griffin
- Department of Radiology, Veterinary Teaching Hospital, Colorado State University, Fort Collins, Colorado
| | - Ralph P Mason
- Department of Radiology, University of Texas Southwestern, Dallas, Texas
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15
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In vivo hypoxia characterization using blood oxygen level dependent magnetic resonance imaging in a preclinical glioblastoma mouse model. Magn Reson Imaging 2020; 76:52-60. [PMID: 33220448 DOI: 10.1016/j.mri.2020.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/23/2020] [Accepted: 11/12/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE Hypoxia measurements can provide crucial information regarding tumor aggressiveness, however current preclinical approaches are limited. Blood oxygen level dependent (BOLD) Magnetic Resonance Imaging (MRI) has the potential to continuously monitor tumor pathophysiology (including hypoxia). The aim of this preliminary work was to develop and evaluate BOLD MRI followed by post-image analysis to identify regions of hypoxia in a murine glioblastoma (GBM) model. METHODS A murine orthotopic GBM model (GL261-luc2) was used and independent images were generated from multiple slices in four different mice. Image slices were randomized and split into training and validation cohorts. A 7 T MRI was used to acquire anatomical images using a fast-spin-echo (FSE) T2-weighted sequence. BOLD images were taken with a T2*-weighted gradient echo (GRE) and an oxygen challenge. Thirteen images were evaluated in a training cohort to develop the MRI sequence and optimize post-image analysis. An in-house MATLAB code was used to evaluate MR images and generate hypoxia maps for a range of thresholding and ΔT2* values, which were compared against respective pimonidazole sections to optimize image processing parameters. The remaining (n = 6) images were used as a validation group. Following imaging, mice were injected with pimonidazole and collected for immunohistochemistry (IHC). A test of correlation (Pearson's coefficient) and agreement (Bland-Altman plot) were conducted to evaluate the respective MRI slices and pimonidazole IHC sections. RESULTS For the training cohort, the optimized parameters of "thresholding" (20 ≤ T2* ≤ 35 ms) and ΔT2* (±4 ms) yielded a Pearson's correlation of 0.697. These parameters were applied to the validation cohort confirming a strong Pearson's correlation (0.749) when comparing the respective analyzed MR and pimonidazole images. CONCLUSION Our preliminary study supports the hypothesis that BOLD MRI is correlated with pimonidazole measurements of hypoxia in an orthotopic GBM mouse model. This technique has further potential to monitor hypoxia during tumor development and therapy.
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16
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Ge X, Quirk JD, Engelbach JA, Bretthorst GL, Li S, Shoghi KI, Garbow JR, Ackerman JJH. Test-Retest Performance of a 1-Hour Multiparametric MR Image Acquisition Pipeline With Orthotopic Triple-Negative Breast Cancer Patient-Derived Tumor Xenografts. ACTA ACUST UNITED AC 2020; 5:320-331. [PMID: 31572793 PMCID: PMC6752291 DOI: 10.18383/j.tom.2019.00012] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Preclinical imaging is critical in the development of translational strategies to detect diseases and monitor response to therapy. The National Cancer Institute Co-Clinical Imaging Resource Program was launched, in part, to develop best practices in preclinical imaging. In this context, the objective of this work was to develop a 1-hour, multiparametric magnetic resonance image-acquisition pipeline with triple-negative breast cancer patient-derived xenografts (PDXs). The 1-hour, image-acquisition pipeline includes T1- and T2-weighted scans, quantitative T1, T2, and apparent diffusion coefficient (ADC) parameter maps, and dynamic contrast-enhanced (DCE) time-course images. Quality-control measures used phantoms. The triple-negative breast cancer PDXs used for this study averaged 174 ± 73 μL in volume, with region of interest–averaged T1, T2, and ADC values of 1.9 ± 0.2 seconds, 62 ± 3 milliseconds, and 0.71 ± 0.06 μm2/ms (mean ± SD), respectively. Specific focus was on assessing the within-subject test–retest coefficient-of-variation (CVWS) for each of the magnetic resonance imaging metrics. Determination of PDX volume via manually drawn regions of interest is highly robust, with ∼1% CVWS. Determination of T2 is also robust with a ∼3% CVWS. Measurements of T1 and ADC are less robust with CVWS values in the 6%–11% range. Preliminary DCE test–retest time-course determinations, as quantified by area under the curve and Ktrans from 2-compartment exchange (extended Tofts) modeling, suggest that DCE is the least robust protocol, with ∼30%–40% CVWS.
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Affiliation(s)
| | | | | | | | | | - Kooresh I Shoghi
- Departments of Radiology.,Alvin J. Siteman Cancer Center, Washington University School of Medicine and Barnes-Jewish Hospital, St Louis, MO
| | - Joel R Garbow
- Departments of Radiology.,Alvin J. Siteman Cancer Center, Washington University School of Medicine and Barnes-Jewish Hospital, St Louis, MO
| | - Joseph J H Ackerman
- Departments of Radiology.,Internal Medicine, and.,Chemistry, Washington University, St Louis, MO; and.,Alvin J. Siteman Cancer Center, Washington University School of Medicine and Barnes-Jewish Hospital, St Louis, MO
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17
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Qian J, Yu X, Li B, Fei Z, Huang X, Luo P, Zhang L, Zhang Z, Lou J, Wang H. In vivo Monitoring of Oxygen Levels in Human Brain Tumor Between Fractionated Radiotherapy Using Oxygen-enhanced MR Imaging. Curr Med Imaging 2020; 16:427-432. [PMID: 32410542 DOI: 10.2174/1573405614666180925144814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 08/19/2018] [Accepted: 09/11/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND It was known that the response of tumor cells to radiation is closely related to tissue oxygen level and fractionated radiotherapy allows reoxygenation of hypoxic tumor cells. Non-invasive mapping of tissue oxygen level may hold great importance in clinic. OBJECTIVE The aim of this study is to evaluate the role of oxygen-enhanced MR imaging in the detection of tissue oxygen levels between fractionated radiotherapy. METHODS A cohort of 10 patients with brain metastasis was recruited. Quantitative oxygen enhanced MR imaging was performed prior to, 30 minutes and 22 hours after first fractionated radiotherapy. RESULTS The ΔR1 (the difference of longitudinal relaxivity between 100% oxygen breathing and air breathing) increased in the ipsilateral tumor site and normal tissue by 242% and 152%, respectively, 30 minutes after first fractionated radiation compared to pre-radiation levels. Significant recovery of ΔR1 in the contralateral normal tissue (p < 0.05) was observed 22 hours compared to 30 minutes after radiation levels. CONCLUSION R1-based oxygen-enhanced MR imaging may provide a sensitive endogenous marker for oxygen changes in the brain tissue between fractionated radiotherapy.
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Affiliation(s)
- Junchao Qian
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China.,Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Xiang Yu
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Bingbing Li
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Zhenle Fei
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Xiang Huang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Peng Luo
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Liwei Zhang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Zhiming Zhang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Jianjun Lou
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China
| | - Hongzhi Wang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei Cancer Hospital, Hefei 230031, China.,Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
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18
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Bluemke E, Bulte D, Bertrand A, George B, Cooke R, Chu KY, Durrant L, Goh V, Jacobs C, Ng SM, Strauss VY, Hawkins MA, Muirhead R. Oxygen-enhanced MRI MOLLI T1 mapping during chemoradiotherapy in anal squamous cell carcinoma. Clin Transl Radiat Oncol 2020; 22:44-49. [PMID: 32211520 PMCID: PMC7082428 DOI: 10.1016/j.ctro.2020.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 03/01/2020] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND AND PURPOSE Oxygen-enhanced magnetic resonance imaging (MRI) and T1-mapping was used to explore its effectiveness as a prognostic imaging biomarker for chemoradiotherapy outcome in anal squamous cell carcinoma. MATERIALS AND METHODS T2-weighted, T1 mapping, and oxygen-enhanced T1 maps were acquired before and after 8-10 fractions of chemoradiotherapy and examined whether the oxygen-enhanced MRI response relates to clinical outcome. Patient response to treatment was assessed 3 months following completion of chemoradiotherapy. A mean T1 was extracted from manually segmented tumour regions of interest and a paired two-tailed t-test was used to compare changes across the patient population. Regions of subcutaneous fat and muscle tissue were examined as control ROIs. RESULTS There was a significant increase in T1 of the tumour ROIs across patients following the 8-10 fractions of chemoradiotherapy (paired t-test, p < 0.001, n = 7). At baseline, prior to receiving chemoradiotherapy, there were no significant changes in T1 across patients from breathing oxygen (n = 9). In the post-chemoRT scans (8-10 fractions), there was a significant decrease in T1 of the tumour ROIs across patients when breathing 100% oxygen (paired t-test, p < 0.001, n = 8). Out of the 12 patients from which we successfully acquired a visit 1 T1-map, only 1 patient did not respond to treatment, therefore, we cannot correlate these results with clinical outcome. CONCLUSIONS These clinical data demonstrate feasibility and potential for T1-mapping and oxygen enhanced T1-mapping to indicate perfusion or treatment response in tumours of this nature. These data show promise for future work with a larger cohort containing more non-responders, which would allow us to relate these measurements to clinical outcome.
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Affiliation(s)
- Emma Bluemke
- Institute of Biomedical Engineering, University of Oxford, UK
| | - Daniel Bulte
- Institute of Biomedical Engineering, University of Oxford, UK
| | - Ambre Bertrand
- Institute of Biomedical Engineering, University of Oxford, UK
| | - Ben George
- Institute of Biomedical Engineering, University of Oxford, UK
| | - Rosie Cooke
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, UK
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, UK
| | - Kwun-Ye Chu
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, UK
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, UK
| | - Lisa Durrant
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, UK
| | - Vicky Goh
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, UK
| | - Clare Jacobs
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, UK
| | - Stasya M. Ng
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, UK
| | | | | | - Rebecca Muirhead
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, UK
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19
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Toward noninvasive quantification of adipose tissue oxygenation with MRI. Int J Obes (Lond) 2020; 44:1776-1783. [PMID: 32231252 DOI: 10.1038/s41366-020-0567-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 02/27/2020] [Accepted: 03/04/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Molecular oxygen (O2) plays a key role in normal and pathological adipose tissue function, yet technologies to measure its role in adipose tissue function are limited. O2 is paramagnetic and, in principle, directly influences the magnetic resonance (MR) 1H longitudinal relaxation rate constant of lipids, R1; thus, we hypothesize that MR imaging (MRI) can directly measure adipose O2 via a simple measure of R1. METHODS R1 was measured in a 4.7T preclinical MRI system at discrete oxygen partial pressure (pO2) levels. These measures were made in vitro in an idealized system and in vivo in subcutaneous and visceral white adipose of rodents. pO2 was determined using an invasive fiber-optic oxygen monitor. From the MRI and fiber optic data we determined the "relaxivity" of O2 in lipid, a critical parameter in converting the MRI-based R1 measurement into pO2. We used breathing gas challenge to estimate the changes in lipid pO2 (ΔpO2). RESULTS The relaxivity of O2 in lipid was determined to be 1.7·10-3 ± 4·10-4 mmHg-1s-1 at 4.7T and 37 °C, and was consistent between in vitro and in vivo adipose tissue. There was a strong, significant correlation between MRI- and gold standard OxyLite-based measurements of lipid ΔpO2 for in vivo visceral and subcutaneous fat depots in rodents. CONCLUSION This study lays the foundation for a direct, noninvasive measure of adipose pO2 using MRI and will allow for noninvasive measurement of O2 flux in adipose tissue. The proposed approach would be of particular importance in the interrogation of the pathogenesis of type 2 diabetes, where it has been suggested that adipose tissue hypoxia is an independent driver of insulin resistance pathway.
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20
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Orukari IE, Siegel JS, Warrington NM, Baxter GA, Bauer AQ, Shimony JS, Rubin JB, Culver JP. Altered hemodynamics contribute to local but not remote functional connectivity disruption due to glioma growth. J Cereb Blood Flow Metab 2020; 40:100-115. [PMID: 30334672 PMCID: PMC6928560 DOI: 10.1177/0271678x18803948] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Glioma growth can cause pervasive changes in the functional connectivity (FC) of brain networks, which has been associated with re-organization of brain functions and development of functional deficits in patients. Mechanisms underlying functional re-organization in brain networks are not understood and efforts to utilize functional imaging for surgical planning, or as a biomarker of functional outcomes are confounded by the heterogeneity in available human data. Here we apply multiple imaging modalities in a well-controlled murine model of glioma with extensive validation using human data to explore mechanisms of FC disruption due to glioma growth. We find gliomas cause both local and distal changes in FC. FC changes in networks proximal to the tumor occur secondary to hemodynamic alterations but surprisingly, remote FC changes are independent of hemodynamic mechanisms. Our data strongly implicate hemodynamic alterations as the main driver of local changes in measurements of FC in patients with glioma.
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Affiliation(s)
- Inema E Orukari
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Joshua S Siegel
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicole M Warrington
- Department of Pediatrics, Washington University in St. Louis, St Louis, MO, USA
| | - Grant A Baxter
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St Louis, MO, USA
| | - Adam Q Bauer
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St Louis, MO, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St Louis, MO, USA
| | - Joshua B Rubin
- Department of Pediatrics, Washington University in St. Louis, St Louis, MO, USA.,Department of Neuroscience, Washington University in St. Louis, St Louis, MO, USA
| | - Joseph P Culver
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.,Mallinckrodt Institute of Radiology, Washington University in St. Louis, St Louis, MO, USA.,Department of Physics, Washington University in St. Louis, St. Louis, MO, USA
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21
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Hormuth DA, Sorace AG, Virostko J, Abramson RG, Bhujwalla ZM, Enriquez-Navas P, Gillies R, Hazle JD, Mason RP, Quarles CC, Weis JA, Whisenant JG, Xu J, Yankeelov TE. Translating preclinical MRI methods to clinical oncology. J Magn Reson Imaging 2019; 50:1377-1392. [PMID: 30925001 PMCID: PMC6766430 DOI: 10.1002/jmri.26731] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 03/14/2019] [Accepted: 03/14/2019] [Indexed: 02/05/2023] Open
Abstract
The complexity of modern in vivo magnetic resonance imaging (MRI) methods in oncology has dramatically changed in the last 10 years. The field has long since moved passed its (unparalleled) ability to form images with exquisite soft-tissue contrast and morphology, allowing for the enhanced identification of primary tumors and metastatic disease. Currently, it is not uncommon to acquire images related to blood flow, cellularity, and macromolecular content in the clinical setting. The acquisition of images related to metabolism, hypoxia, pH, and tissue stiffness are also becoming common. All of these techniques have had some component of their invention, development, refinement, validation, and initial applications in the preclinical setting using in vivo animal models of cancer. In this review, we discuss the genesis of quantitative MRI methods that have been successfully translated from preclinical research and developed into clinical applications. These include methods that interrogate perfusion, diffusion, pH, hypoxia, macromolecular content, and tissue mechanical properties for improving detection, staging, and response monitoring of cancer. For each of these techniques, we summarize the 1) underlying biological mechanism(s); 2) preclinical applications; 3) available repeatability and reproducibility data; 4) clinical applications; and 5) limitations of the technique. We conclude with a discussion of lessons learned from translating MRI methods from the preclinical to clinical setting, and a presentation of four fundamental problems in cancer imaging that, if solved, would result in a profound improvement in the lives of oncology patients. Level of Evidence: 5 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;50:1377-1392.
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Affiliation(s)
- David A. Hormuth
- Institute for Computational Engineering and Sciences,Livestrong Cancer Institutes, The University of Texas at Austin
| | - Anna G. Sorace
- Department of Biomedical Engineering, The University of Texas at Austin,Department of Diagnostic Medicine, The University of Texas at Austin,Department of Oncology, The University of Texas at Austin,Livestrong Cancer Institutes, The University of Texas at Austin
| | - John Virostko
- Department of Diagnostic Medicine, The University of Texas at Austin,Department of Oncology, The University of Texas at Austin,Livestrong Cancer Institutes, The University of Texas at Austin
| | - Richard G. Abramson
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | | | - Pedro Enriquez-Navas
- Departments of Cancer Imaging and Metabolism, Cancer Physiology, The Moffitt Cancer Center
| | - Robert Gillies
- Departments of Cancer Imaging and Metabolism, Cancer Physiology, The Moffitt Cancer Center
| | - John D. Hazle
- Imaging Physics, The University of Texas M.D. Anderson Cancer Center
| | - Ralph P. Mason
- Department of Radiology, The University of Texas Southwestern Medical Center
| | - C. Chad Quarles
- Department of NeuroImaging Research, The Barrow Neurological Institute
| | - Jared A. Weis
- Department of Biomedical Engineering Wake Forest School of Medicine
| | | | - Junzhong Xu
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center,Institute of Imaging Science, Vanderbilt University Medical Center
| | - Thomas E. Yankeelov
- Institute for Computational Engineering and Sciences,Department of Biomedical Engineering, The University of Texas at Austin,Department of Diagnostic Medicine, The University of Texas at Austin,Department of Oncology, The University of Texas at Austin,Livestrong Cancer Institutes, The University of Texas at Austin
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22
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Vatnehol SAS, Hol PK, Bjørnerud A, Amiry-Moghaddam M, Haglerød C, Storås TH. Determination of oxygen r 1 at 3 Tesla using samples with a concentration range of dissolved oxygen. MAGMA (NEW YORK, N.Y.) 2019; 33:447-453. [PMID: 31606810 DOI: 10.1007/s10334-019-00783-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 09/27/2019] [Accepted: 10/01/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To investigate the sensitivity of modified Look-Locker inversion recovery (MOLLI) to measure changes in dissolved oxygen (DO) concentrations in water samples and to calculate sequence-specific relaxivity (r1m) and limit of detection (LOD). MATERIALS AND METHODS Ten water samples with a range of DO concentrations were scanned at 3 T using two variations of MOLLI schemes. Using linear regression the r1 of DO was estimated from the measured DO concentrations and T1 relaxation rates (R1). The results were combined with previously reported values on in vivo stability measures of the MOLLI sequences and used to estimate a LOD. RESULTS DO concentrations ranged from 0.5 to 21.6 mg L-1. A linear correlation between DO and R1 was obtained with both MOLLI sequences, with an average correlation coefficient (R2) 0.9 and an average estimated r1 ([Formula: see text]) of 4.45 × 10-3 s-1 mg-1 L. Estimated LOD was ≈ 10 mg L-1. CONCLUSION MOLLI T1-mapping sequences may be used for detecting dissolved oxygen in vivo at 3 T with an [Formula: see text] in the range 4.18-4.8 × 10-3 s-1 mg-1 L and a corresponding LOD for dissolved oxygen of approximately 10 mg L-1. MOLLI-based T1 mapping may be a useful non-invasive tool for quantification of in vivo changes of DO concentration during oxygen challenges.
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Affiliation(s)
- Svein Are Sirirud Vatnehol
- Faculty of Medicine, University of Oslo, Oslo, Norway. .,The Intervention Centre, Oslo University Hospital, Oslo, Norway. .,Oxy Solutions AS, Oslo, Norway.
| | - Per Kristian Hol
- Faculty of Medicine, University of Oslo, Oslo, Norway.,The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Atle Bjørnerud
- Department of Physics, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway
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23
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Yang DM, Arai TJ, Campbell JW, Gerberich JL, Zhou H, Mason RP. Oxygen-sensitive MRI assessment of tumor response to hypoxic gas breathing challenge. NMR IN BIOMEDICINE 2019; 32:e4101. [PMID: 31062902 PMCID: PMC6581571 DOI: 10.1002/nbm.4101] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 02/16/2019] [Accepted: 03/08/2019] [Indexed: 06/09/2023]
Abstract
Oxygen-sensitive MRI has been extensively used to investigate tumor oxygenation based on the response (R2 * and/or R1 ) to a gas breathing challenge. Most studies have reported response to hyperoxic gas indicating potential biomarkers of hypoxia. Few studies have examined hypoxic gas breathing and we have now evaluated acute dynamic changes in rat breast tumors. Rats bearing syngeneic subcutaneous (n = 15) or orthotopic (n = 7) 13762NF breast tumors were exposed to a 16% O2 gas breathing challenge and monitored using blood oxygen level dependent (BOLD) R2 * and tissue oxygen level dependent (TOLD) T1 -weighted measurements at 4.7 T. As a control, we used a traditional hyperoxic gas breathing challenge with 100% O2 on a subset of the subcutaneous tumor bearing rats (n = 6). Tumor subregions identified as responsive on the basis of R2 * dynamics coincided with the viable tumor area as judged by subsequent H&E staining. As expected, R2 * decreased and T1 -weighted signal increased in response to 100% O2 breathing challenge. Meanwhile, 16% O2 breathing elicited an increase in R2 *, but divergent response (increase or decrease) in T1 -weighted signal. The T1 -weighted signal increase may signify a dominating BOLD effect triggered by 16% O2 in the relatively more hypoxic tumors, whereby the influence of increased paramagnetic deoxyhemoglobin outweighs decreased pO2 . The results emphasize the importance of combined BOLD and TOLD measurements for the correct interpretation of tumor oxygenation properties.
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Affiliation(s)
- Donghan M Yang
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Tatsuya J Arai
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - James W Campbell
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | | | - Heling Zhou
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Ralph P Mason
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
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24
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Zhou H, Chiguru S, Hallac RR, Yang D, Hao G, Peschke P, Mason RP. Examining correlations of oxygen sensitive MRI (BOLD/TOLD) with [ 18F]FMISO PET in rat prostate tumors. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2019; 9:156-167. [PMID: 31139498 PMCID: PMC6526364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 03/25/2019] [Indexed: 06/09/2023]
Abstract
Hypoxia is regarded as a potential prognostic biomarker for tumor aggressiveness, progression, and response to therapy. The radiotracer 18F-fluoromisonidazole ([18F]FMISO) has been used with positron emission tomography (PET) to reveal tumor hypoxia. Meanwhile, blood oxygen level dependent (BOLD) MRI and tissue oxygen level dependent (TOLD) MRI offer insight into oxygenation based on endogenous signals without the need for radiolabels. Here, we compared BOLD and TOLD MRI with [18F]FMISO uptake using Dunning prostate R3327-AT1 tumor bearing rats. BOLD and TOLD MRI were acquired with respect to an oxygen gas breathing challenge. The following day, dynamic PET was performed up to 90 minutes following IV injection of [18F]FMISO. Tumors showed distinct heterogeneity based on each technique. Correlations were observed between magnitude of mean BOLD or TOLD MRI signal responses to oxygen-breathing challenge and initial distribution of [18F]FMISO. Correlations were observed for whole tumor as well on a regional basis with stronger correlations in the well perfused tumor periphery indicating the strong influence of perfused vasculature. After 90 minutes most correlations with signal intensity became quite weak, but correlations were observed between hypoxic fraction based on FMISO and fractions of tumor showing BOLD or TOLD response in a subset of tumors. This emphasizes the importance of considering regional heterogeneity and responsive fractions, as opposed to simple magnitudes of responses. Although the data represent a small cohort of tumors they present direct correlations between oxygen sensitive MRI and PET hypoxia reporter agents in the same tumors, indicating the potential utility of further investigations.
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Affiliation(s)
- Heling Zhou
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
| | - Srinivas Chiguru
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
| | - Rami R Hallac
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
- AIM Center, Children’s HealthDallas, TX, United States
| | - Donghan Yang
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
| | - Guiyang Hao
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
| | - Peter Peschke
- Medical Physics in Radiation Oncology, German Cancer Research CenterHeidelberg, Germany
| | - Ralph P Mason
- Department of Radiology, UT Southwestern Medical CenterDallas, TX 75390-9058, USA
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25
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O'Connor JPB, Robinson SP, Waterton JC. Imaging tumour hypoxia with oxygen-enhanced MRI and BOLD MRI. Br J Radiol 2019; 92:20180642. [PMID: 30272998 PMCID: PMC6540855 DOI: 10.1259/bjr.20180642] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/21/2018] [Accepted: 09/25/2018] [Indexed: 01/06/2023] Open
Abstract
Hypoxia is known to be a poor prognostic indicator for nearly all solid tumours and also is predictive of treatment failure for radiotherapy, chemotherapy, surgery and targeted therapies. Imaging has potential to identify, spatially map and quantify tumour hypoxia prior to therapy, as well as track changes in hypoxia on treatment. At present no hypoxia imaging methods are available for routine clinical use. Research has largely focused on positron emission tomography (PET)-based techniques, but there is gathering evidence that MRI techniques may provide a practical and more readily translational alternative. In this review we focus on the potential for imaging hypoxia by measuring changes in longitudinal relaxation [R1; termed oxygen-enhanced MRI or tumour oxygenation level dependent (TOLD) MRI] and effective transverse relaxation [R2*; termed blood oxygenation level dependent (BOLD) MRI], induced by inhalation of either 100% oxygen or the radiosensitising hyperoxic gas carbogen. We explain the scientific principles behind oxygen-enhanced MRI and BOLD and discuss significant studies and their limitations. All imaging biomarkers require rigorous validation in order to translate into clinical use and the steps required to further develop oxygen-enhanced MRI and BOLD MRI into decision-making tools are discussed.
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Affiliation(s)
| | - Simon P Robinson
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
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26
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Emerging Functional Imaging Biomarkers of Tumour Responses to Radiotherapy. Cancers (Basel) 2019; 11:cancers11020131. [PMID: 30678055 PMCID: PMC6407112 DOI: 10.3390/cancers11020131] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/11/2019] [Accepted: 01/13/2019] [Indexed: 12/11/2022] Open
Abstract
Tumour responses to radiotherapy are currently primarily assessed by changes in size. Imaging permits non-invasive, whole-body assessment of tumour burden and guides treatment options for most tumours. However, in most tumours, changes in size are slow to manifest and can sometimes be difficult to interpret or misleading, potentially leading to prolonged durations of ineffective treatment and delays in changing therapy. Functional imaging techniques that monitor biological processes have the potential to detect tumour responses to treatment earlier and refine treatment options based on tumour biology rather than solely on size and staging. By considering the biological effects of radiotherapy, this review focusses on emerging functional imaging techniques with the potential to augment morphological imaging and serve as biomarkers of early response to radiotherapy.
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27
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Suh JY, Cho G, Song Y, Woo DC, Choi YS, Ryu EK, Park BW, Shim WH, Kim YR, Kim JK. Hyperoxia-Induced ΔR 1. Stroke 2018; 49:3012-3019. [PMID: 30571431 DOI: 10.1161/strokeaha.118.021469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Acceleration of longitudinal relaxation under hyperoxic challenge (ie, hyperoxia-induced ΔR1) indicates oxygen accumulation and reflects baseline tissue oxygenation. We evaluated the feasibility of hyperoxia-induced ΔR1 for evaluating cerebral oxygenation status and degree of ischemic damage in stroke. Methods- In 24-hour transient stroke rat models (n=13), hyperoxia-induced ΔR1, ischemic severity (apparent diffusion coefficient [ADC]), vasogenic edema (R2), total and microvascular blood volume (superparamagnetic iron oxide-driven ΔR2* and ΔR2, respectively), and glucose metabolism activity (18F-fluorodeoxyglucose uptake on positron emission tomography) were measured. The distribution of these parameters according to hyperoxia-induced ΔR1 was analyzed. The partial pressure of tissue oxygen change during hyperoxic challenge was measured using fiberoptic tissue oximetry. In 4-hour stroke models (n=6), ADC and hyperoxia-induced ΔR1 was analyzed with 2,3,5-triphenyltetrazolium chloride staining being a criterion of infarction. Results- Ischemic hemisphere showed significantly higher hyperoxia-induced ΔR1 than nonischemic brain in a pattern depending on ADC. During hyperoxic challenge, ischemic hemisphere demonstrated uncontrolled increase of partial pressure of tissue oxygen, whereas contralateral hemisphere rapidly plateaued. Ischemic hemisphere also demonstrated significant correlation between hyperoxia-induced ΔR1 and R2. Hyperoxia-induced ΔR1 showed a significant negative correlation with 18F-fluorodeoxyglucose uptake. The ADC, R2, ΔR2, and 18F-fluorodeoxyglucose uptake showed a dichotomized distribution according to the hyperoxia-induced ΔR1 as their slopes and values were higher at low hyperoxia-induced ΔR1 (<50 ms-1) than at high ΔR1. In 4-hour stroke rats, the distribution of ADC according to the hyperoxia-induced ΔR1 was similar with 24-hour stroke rats. The hyperoxia-induced ΔR1 was greater in the infarct area (47±10 ms-1) than in peri-infarct area (16±4 ms-1; P<0.01). Conclusions- Hyperoxia-induced ΔR1 adequately indicates cerebral oxygenation and can be a feasible biomarker to classify the degree of ischemia-induced damage in neurovascular function and metabolism in stroke brain.
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Affiliation(s)
- Ji-Yeon Suh
- From the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.-Y.S., D.-C.W., B.W.P., W.H.S., J.K.K.).,Bioimaging Research Team, Korea Basic Science Institute, Ochang Cheongwon, Chungbuk, Korea (J.-Y.S., G.C., Y.S., E.K.R.)
| | - Gyunggoo Cho
- Bioimaging Research Team, Korea Basic Science Institute, Ochang Cheongwon, Chungbuk, Korea (J.-Y.S., G.C., Y.S., E.K.R.)
| | - Youngkyu Song
- Bioimaging Research Team, Korea Basic Science Institute, Ochang Cheongwon, Chungbuk, Korea (J.-Y.S., G.C., Y.S., E.K.R.)
| | - Dong-Cheol Woo
- From the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.-Y.S., D.-C.W., B.W.P., W.H.S., J.K.K.)
| | - Yoon Seok Choi
- Medical Research Institute, Gangneung Asan Hospital, Gangwon-do, South Korea (Y.S.C.)
| | - Eun Kyung Ryu
- Bioimaging Research Team, Korea Basic Science Institute, Ochang Cheongwon, Chungbuk, Korea (J.-Y.S., G.C., Y.S., E.K.R.)
| | - Bum Woo Park
- From the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.-Y.S., D.-C.W., B.W.P., W.H.S., J.K.K.)
| | - Woo Hyun Shim
- From the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.-Y.S., D.-C.W., B.W.P., W.H.S., J.K.K.)
| | - Young Ro Kim
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown (Y.R.K.)
| | - Jeong Kon Kim
- From the Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (J.-Y.S., D.-C.W., B.W.P., W.H.S., J.K.K.)
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28
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Vanhove C, Goethals I. Magnetic resonance imaging-guided radiation therapy using animal models of glioblastoma. Br J Radiol 2018; 92:20180713. [PMID: 30563357 DOI: 10.1259/bjr.20180713] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Glioblastoma is the most aggressive and most common malignant primary brain tumour in adults and has a high mortality and morbidity. Because local tumour control in glioblastoma patients is still elusive in the majority of patients, there is an urgent need for alternative treatment strategies. However, to implement changes to the existing clinical standard of care, research must be conducted to develop alternative treatment strategies. A novel approach in radiotherapy is the introduction of pre-clinical precision image-guided radiation research platforms. The aim of this review is to give a brief overview of the efforts that have been made in the field of radiation research using animal models of glioblastoma. Because MRI has become the reference imaging technique for treatment planning and assessment of therapeutic responses in glioblastoma patients, we will focus in this review on small animal radiotherapy combined with MRI.
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Affiliation(s)
- Christian Vanhove
- 1 Department of Electronics and Information Systems, Institute Biomedical Technology (IBiTech), Ghent University , Ghent , Belgium
| | - Ingeborg Goethals
- 2 Department of Nuclear Medicine, Ghent University Hospital , Ghent , Belgium
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29
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Garbow JR, Tsien CI, Beeman SC. Preclinical MRI: Studies of the irradiated brain. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2018; 292:73-81. [PMID: 29705034 PMCID: PMC6029718 DOI: 10.1016/j.jmr.2018.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 03/20/2018] [Accepted: 03/28/2018] [Indexed: 06/08/2023]
Abstract
Radiation therapy (RT) plays a central role in the treatment of primary brain tumors. However, despite recent advances in RT treatment, local recurrences following therapy remain common. Radiation necrosis (RN) is a severe, late complication of radiation therapy in the brain. RN is a serious clinical problem often associated with devastating neurologic complications. Therapeutic strategies, including neuroprotectants, have been described, but have not been widely translated in routine clinical use. We have developed a mouse model that recapitulates all of the major pathologic features of late-onset RN for the purposes of characterizing the basic pathogenesis of RN, identifying non-invasive (imaging) biomarkers of RN that might allow for the radiologic discernment of tumor and RN, systematic testing of tumor and RN therapeutics, and exploring the complex interplay between RN pathogenesis and tumor recurrence. Herein, we describe the fundamental clinical challenges associated with RN and the progress made towards addressing these challenges by combining our novel mouse model of late-onset RN and magnetic resonance imaging (MRI). MRI techniques discussed include conventional T1- and T2-weighted imaging, diffusion-weighted imaging, magnetization transfer, and measures of tissue oxygenation. Studies of RN mitigation and neuroprotection are described, including the use of anti-VEGF antibodies, and inhibitors of GSK-3β, HIF-1α, and CXCR4. We conclude with some future perspectives on the irradiated brain and the study and treatment of recurrent tumor growing in an irradiated tumor microenvironment.
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Affiliation(s)
- Joel R Garbow
- Department of Radiology, Washington University, Saint Louis, MO, United States; The Alvin J. Siteman Cancer Center, Washington University, Saint Louis, MO, United States.
| | - Christina I Tsien
- Department of Radiation Oncology, Washington University, Saint Louis, MO, United States
| | - Scott C Beeman
- Department of Radiology, Washington University, Saint Louis, MO, United States
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30
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Featherstone AK, O'Connor JP, Little RA, Watson Y, Cheung S, Babur M, Williams KJ, Matthews JC, Parker GJ. Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI. Magn Reson Med 2018; 79:2236-2245. [PMID: 28856728 PMCID: PMC5836865 DOI: 10.1002/mrm.26860] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 07/13/2017] [Accepted: 07/13/2017] [Indexed: 01/06/2023]
Abstract
PURPOSE Previous work has shown that combining dynamic contrast-enhanced (DCE)-MRI and oxygen-enhanced (OE)-MRI binary enhancement maps can identify tumor hypoxia. The current work proposes a novel, data-driven method for mapping tissue oxygenation and perfusion heterogeneity, based on clustering DCE/OE-MRI data. METHODS DCE-MRI and OE-MRI were performed on nine U87 (glioblastoma) and seven Calu6 (non-small cell lung cancer) murine xenograft tumors. Area under the curve and principal component analysis features were calculated and clustered separately using Gaussian mixture modelling. Evaluation metrics were calculated to determine the optimum feature set and cluster number. Outputs were quantitatively compared with a previous non data-driven approach. RESULTS The optimum method located six robustly identifiable clusters in the data, yielding tumor region maps with spatially contiguous regions in a rim-core structure, suggesting a biological basis. Mean within-cluster enhancement curves showed physiologically distinct, intuitive kinetics of enhancement. Regions of DCE/OE-MRI enhancement mismatch were located, and voxel categorization agreed well with the previous non data-driven approach (Cohen's kappa = 0.61, proportional agreement = 0.75). CONCLUSION The proposed method locates similar regions to the previous published method of binarization of DCE/OE-MRI enhancement, but renders a finer segmentation of intra-tumoral oxygenation and perfusion. This could aid in understanding the tumor microenvironment and its heterogeneity. Magn Reson Med 79:2236-2245, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Affiliation(s)
- Adam K. Featherstone
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
- CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and ManchesterUK
| | - James P.B. O'Connor
- CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and ManchesterUK
- Division of Cancer StudiesThe University of ManchesterManchesterUK
- Department of RadiologyChristie NHS Foundation TrustManchesterUK
| | - Ross A. Little
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
| | - Yvonne Watson
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
| | - Sue Cheung
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
| | - Muhammad Babur
- Division of Pharmacy & OptometryThe University of ManchesterManchesterUK
| | - Kaye J. Williams
- CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and ManchesterUK
- Division of Pharmacy & OptometryThe University of ManchesterManchesterUK
| | - Julian C. Matthews
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
- CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and ManchesterUK
| | - Geoff J.M. Parker
- Division of Informatics, Imaging & Data SciencesThe University of ManchesterManchesterUK
- CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and ManchesterUK
- Bioxydyn LtdManchesterUK
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31
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Zhou H, Zhang Z, Denney R, Williams JS, Gerberich J, Stojadinovic S, Saha D, Shelton JM, Mason RP. Tumor physiological changes during hypofractionated stereotactic body radiation therapy assessed using multi-parametric magnetic resonance imaging. Oncotarget 2018; 8:37464-37477. [PMID: 28415581 PMCID: PMC5514922 DOI: 10.18632/oncotarget.16395] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 03/02/2017] [Indexed: 12/25/2022] Open
Abstract
Radiation therapy is a primary treatment for non-resectable lung cancer and hypoxia is thought to influence tumor response. Hypoxia is expected to be particularly relevant to the evolving new radiation treatment scheme of hypofractionated stereotactic body radiation therapy (SBRT). As such, we sought to develop non-invasive tools to assess tumor pathophysiology and response to irradiation. We applied blood oxygen level dependent (BOLD) and tissue oxygen level dependent (TOLD) MRI, together with dynamic contrast enhanced (DCE) MRI to explore the longitudinal effects of SBRT on tumor oxygenation and vascular perfusion using A549 human lung cancer xenografts in a subcutaneous rat model. Intra-tumor heterogeneity was seen on multi-parametric maps, especially in BOLD, T2* and DCE. At baseline, most tumors showed a positive BOLD signal response (%ΔSI) and increased T2* in response to oxygen breathing challenge, indicating increased vascular oxygenation. Control tumors showed similar response 24 hours and 1 week later. Twenty-four hours after a single dose of 12 Gy, the irradiated tumors showed a significantly decreased T2* (-2.9±4.2 ms) and further decrease was observed (-4.0±6.0 ms) after 1 week, suggesting impaired vascular oxygenation. DCE revealed tumor heterogeneity, but showed minimal changes following irradiation. Rats were cured of the primary tumors by 3x12 Gy, providing long term survival, though with ultimate metastatic recurrence.
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Affiliation(s)
- Heling Zhou
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Zhang Zhang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Rebecca Denney
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Jessica S Williams
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Jeni Gerberich
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Strahinja Stojadinovic
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Debabrata Saha
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - John M Shelton
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
| | - Ralph P Mason
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
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32
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Zhou H, Arias-Ramos N, López-Larrubia P, Mason RP, Cerdán S, Pacheco-Torres J. Oxygenation Imaging by Nuclear Magnetic Resonance Methods. Methods Mol Biol 2018; 1718:297-313. [PMID: 29341016 DOI: 10.1007/978-1-4939-7531-0_18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Oxygen monitoring is a topic of exhaustive research due to its central role in many biological processes, from energy metabolism to gene regulation. The ability to monitor in vivo the physiological distribution and the dynamics of oxygen from subcellular to macroscopic levels is a prerequisite to better understand the mechanisms associated with both normal and disease states (cancer, neurodegeneration, stroke, etc.). This chapter focuses on magnetic resonance imaging (MRI) based techniques to assess oxygenation in vivo. The first methodology uses injected fluorinated agents to provide quantitative pO2 measurements with high precision and suitable spatial and temporal resolution for many applications. The second method exploits changes in endogenous contrasts, i.e., deoxyhemoglobin and oxygen molecules through measurements of T 2* and T 1, in response to an intervention to qualitatively evaluate hypoxia and its potential modulation.
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Affiliation(s)
- Heling Zhou
- Prognostic Imaging Research Laboratory, Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Nuria Arias-Ramos
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Pilar López-Larrubia
- Instituto de Investigaciones Biomédicas 'Alberto Sols' C.S.I.C./U.A.M., Madrid, Spain
| | - Ralph P Mason
- Prognostic Imaging Research Laboratory, Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Sebastián Cerdán
- Instituto de Investigaciones Biomédicas 'Alberto Sols' C.S.I.C./U.A.M., Madrid, Spain
| | - Jesús Pacheco-Torres
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
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Feldman LA, Fabre MS, Grasso C, Reid D, Broaddus WC, Lanza GM, Spiess BD, Garbow JR, McConnell MJ, Herst PM. Perfluorocarbon emulsions radiosensitise brain tumors in carbogen breathing mice with orthotopic GL261 gliomas. PLoS One 2017; 12:e0184250. [PMID: 28873460 PMCID: PMC5584944 DOI: 10.1371/journal.pone.0184250] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 08/21/2017] [Indexed: 01/02/2023] Open
Abstract
Background Tumour hypoxia limits the effectiveness of radiation therapy. Delivering normobaric or hyperbaric oxygen therapy elevates pO2 in both tumour and normal brain tissue. However, pO2 levels return to baseline within 15 minutes of stopping therapy. Aim To investigate the effect of perfluorocarbon (PFC) emulsions on hypoxia in subcutaneous and intracranial mouse gliomas and their radiosensitising effect in orthotopic gliomas in mice breathing carbogen (95%O2 and 5%CO2). Results PFC emulsions completely abrogated hypoxia in both subcutaneous and intracranial GL261 models and conferred a significant survival advantage orthotopically (Mantel Cox: p = 0.048) in carbogen breathing mice injected intravenously (IV) with PFC emulsions before radiation versus mice receiving radiation alone. Carbogen alone decreased hypoxia levels substantially and conferred a smaller but not statistically significant survival advantage over and above radiation alone. Conclusion IV injections of PFC emulsions followed by 1h carbogen breathing, radiosensitises GL261 intracranial tumors.
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Affiliation(s)
- Lisa A Feldman
- Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA United States of America.,Malaghan Institute of Medical Research, Wellington, New Zealand
| | - Marie-Sophie Fabre
- School of Biological Sciences, Victoria University, Wellington, New Zealand
| | - Carole Grasso
- Malaghan Institute of Medical Research, Wellington, New Zealand
| | - Dana Reid
- School of Biological Sciences, Victoria University, Wellington, New Zealand
| | - William C Broaddus
- Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA United States of America
| | - Gregory M Lanza
- Division of Cardiovascular Diseases, Washington University School of Medicine, St. Louis, MO United States of America
| | - Bruce D Spiess
- Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, FL United States of America
| | - Joel R Garbow
- Mallinckrodt Institute, Washington University School of Medicine, St. Louis, MO United States of America
| | - Melanie J McConnell
- Malaghan Institute of Medical Research, Wellington, New Zealand.,School of Biological Sciences, Victoria University, Wellington, New Zealand
| | - Patries M Herst
- Malaghan Institute of Medical Research, Wellington, New Zealand.,Department of Radiation Therapy, University of Otago, Wellington, New Zealand
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Incorporating Oxygen-Enhanced MRI into Multi-Parametric Assessment of Human Prostate Cancer. Diagnostics (Basel) 2017; 7:diagnostics7030048. [PMID: 28837092 PMCID: PMC5617948 DOI: 10.3390/diagnostics7030048] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 08/13/2017] [Accepted: 08/21/2017] [Indexed: 12/18/2022] Open
Abstract
Hypoxia is associated with prostate tumor aggressiveness, local recurrence, and biochemical failure. Magnetic resonance imaging (MRI) offers insight into tumor pathophysiology and recent reports have related transverse relaxation rate (R2*) and longitudinal relaxation rate (R1) measurements to tumor hypoxia. We have investigated the inclusion of oxygen-enhanced MRI for multi-parametric evaluation of tumor malignancy. Multi-parametric MRI sequences at 3 Tesla were evaluated in 10 patients to investigate hypoxia in prostate cancer prior to radical prostatectomy. Blood oxygen level dependent (BOLD), tissue oxygen level dependent (TOLD), dynamic contrast enhanced (DCE), and diffusion weighted imaging MRI were intercorrelated and compared with the Gleason score. The apparent diffusion coefficient (ADC) was significantly lower in tumor than normal prostate. Baseline R2* (BOLD-contrast) was significantly higher in tumor than normal prostate. Upon the oxygen breathing challenge, R2* decreased significantly in the tumor tissue, suggesting improved vascular oxygenation, however changes in R1 were minimal. R2* of contralateral normal prostate decreased in most cases upon oxygen challenge, although the differences were not significant. Moderate correlation was found between ADC and Gleason score. ADC and R2* were correlated and trends were found between Gleason score and R2*, as well as maximum-intensity-projection and area-under-the-curve calculated from DCE. Tumor ADC and R2* have been associated with tumor hypoxia, and thus the correlations are of particular interest. A multi-parametric approach including oxygen-enhanced MRI is feasible and promises further insights into the pathophysiological information of tumor microenvironment.
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Berkowitz BA, Lenning J, Khetarpal N, Tran C, Wu JY, Berri AM, Dernay K, Haacke EM, Shafie-Khorassani F, Podolsky RH, Gant JC, Maimaiti S, Thibault O, Murphy GG, Bennett BM, Roberts R. In vivo imaging of prodromal hippocampus CA1 subfield oxidative stress in models of Alzheimer disease and Angelman syndrome. FASEB J 2017; 31:4179-4186. [PMID: 28592637 DOI: 10.1096/fj.201700229r] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Accepted: 05/22/2017] [Indexed: 12/13/2022]
Abstract
Hippocampus oxidative stress is considered pathogenic in neurodegenerative diseases, such as Alzheimer disease (AD), and in neurodevelopmental disorders, such as Angelman syndrome (AS). Yet clinical benefits of antioxidant treatment for these diseases remain unclear because conventional imaging methods are unable to guide management of therapies in specific hippocampus subfields in vivo that underlie abnormal behavior. Excessive production of paramagnetic free radicals in nonhippocampus brain tissue can be measured in vivo as a greater-than-normal 1/T1 that is quenchable with antioxidant as measured by quench-assisted (Quest) MRI. Here, we further test this approach in phantoms, and we present proof-of-concept data in models of AD-like and AS hippocampus oxidative stress that also exhibit impaired spatial learning and memory. AD-like models showed an abnormal gradient along the CA1 dorsal-ventral axis of excessive free radical production as measured by Quest MRI, and redox-sensitive calcium dysregulation as measured by manganese-enhanced MRI and electrophysiology. In the AS model, abnormally high free radical levels were observed in dorsal and ventral CA1. Quest MRI is a promising in vivo paradigm for bridging brain subfield oxidative stress and behavior in animal models and in human patients to better manage antioxidant therapy in devastating neurodegenerative and neurodevelopmental diseases.-Berkowitz, B. A., Lenning, J., Khetarpal, N., Tran, C., Wu, J. Y., Berri, A. M., Dernay, K., Haacke, E. M., Shafie-Khorassani, F., Podolsky, R. H., Gant, J. C., Maimaiti, S., Thibault, O., Murphy, G. G., Bennett, B. M., Roberts, R. In vivo imaging of prodromal hippocampus CA1 subfield oxidative stress in models of Alzheimer disease and Angelman syndrome.
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Affiliation(s)
- Bruce A Berkowitz
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA; .,Department of Ophthalmology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Jacob Lenning
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Nikita Khetarpal
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Catherine Tran
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Johnny Y Wu
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Ali M Berri
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Kristin Dernay
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - E Mark Haacke
- Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Fatema Shafie-Khorassani
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Robert H Podolsky
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - John C Gant
- Department of Pharmacology and Nutritional Sciences, University of Kentucky Medical Center, Lexington, Kentucky, USA
| | - Shaniya Maimaiti
- Department of Pharmacology and Nutritional Sciences, University of Kentucky Medical Center, Lexington, Kentucky, USA
| | - Olivier Thibault
- Department of Pharmacology and Nutritional Sciences, University of Kentucky Medical Center, Lexington, Kentucky, USA
| | - Geoffrey G Murphy
- Department of Molecular and Integrative Physiology, Molecular Behavioral Neuroscience Institute, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Brian M Bennett
- Centre for Neuroscience Studies, Department of Biomedical and Molecular Sciences, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Robin Roberts
- Department of Anatomy and Cell Biology, Wayne State University School of Medicine, Detroit, Michigan, USA
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White DA, Zhang Z, Li L, Gerberich J, Stojadinovic S, Peschke P, Mason RP. Developing oxygen-enhanced magnetic resonance imaging as a prognostic biomarker of radiation response. Cancer Lett 2016; 380:69-77. [PMID: 27267808 DOI: 10.1016/j.canlet.2016.06.003] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 05/31/2016] [Accepted: 06/01/2016] [Indexed: 11/19/2022]
Abstract
Oxygen-Enhanced Magnetic Resonance Imaging (OE-MRI) techniques were evaluated as potential non-invasive predictive biomarkers of radiation response. Semi quantitative blood-oxygen level dependent (BOLD) and tissue oxygen level dependent (TOLD) contrast, and quantitative responses of relaxation rates (ΔR1 and ΔR2*) to an oxygen breathing challenge during hypofractionated radiotherapy were applied. OE-MRI was performed on subcutaneous Dunning R3327-AT1 rat prostate tumors (n=25) at 4.7 T prior to each irradiation (2F × 15 Gy) to the gross tumor volume. Response to radiation, while inhaling air or oxygen, was assessed by tumor growth delay measured up to four times the initial irradiated tumor volume (VQT). Radiation-induced hypoxia changes were confirmed using a double hypoxia marker assay. Inhaling oxygen during hypofractionated radiotherapy significantly improved radiation response. A correlation was observed between the difference in the 2nd and 1st ΔR1 (ΔΔR1) and VQT for air breathing rats. The TOLD response before the 2nd fraction showed a moderate correlation with VQT for oxygen breathing rats. The correlations indicate useful prognostic factors to predict tumor response to hypofractionation and could readily be applied for patient stratification and personalized radiotherapy treatment planning.
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Affiliation(s)
- Derek A White
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390, USA; Department of Bioengineering, University of Texas at Arlington, Arlington, Texas 76019, USA
| | - Zhang Zhang
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Li Li
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Jeni Gerberich
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Strahinja Stojadinovic
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75390, USA
| | | | - Ralph P Mason
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 75390, USA.
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Cao-Pham TT, Tran LBA, Colliez F, Joudiou N, El Bachiri S, Grégoire V, Levêque P, Gallez B, Jordan BF. Monitoring Tumor Response to Carbogen Breathing by Oxygen-Sensitive Magnetic Resonance Parameters to Predict the Outcome of Radiation Therapy: A Preclinical Study. Int J Radiat Oncol Biol Phys 2016; 96:149-60. [PMID: 27511852 DOI: 10.1016/j.ijrobp.2016.04.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 04/25/2016] [Accepted: 04/30/2016] [Indexed: 11/26/2022]
Abstract
PURPOSE In an effort to develop noninvasive in vivo methods for mapping tumor oxygenation, magnetic resonance (MR)-derived parameters are being considered, including global R1, water R1, lipids R1, and R2*. R1 is sensitive to dissolved molecular oxygen, whereas R2* is sensitive to blood oxygenation, detecting changes in dHb. This work compares global R1, water R1, lipids R1, and R2* with pO2 assessed by electron paramagnetic resonance (EPR) oximetry, as potential markers of the outcome of radiation therapy (RT). METHODS AND MATERIALS R1, R2*, and EPR were performed on rhabdomyosarcoma and 9L-glioma tumor models, under air and carbogen breathing conditions (95% O2, 5% CO2). Because the models demonstrated different radiosensitivity properties toward carbogen, a growth delay (GD) assay was performed on the rhabdomyosarcoma model and a tumor control dose 50% (TCD50) was performed on the 9L-glioma model. RESULTS Magnetic resonance imaging oxygen-sensitive parameters detected the positive changes in oxygenation induced by carbogen within tumors. No consistent correlation was seen throughout the study between MR parameters and pO2. Global and lipids R1 were found to be correlated to pO2 in the rhabdomyosarcoma model, whereas R2* was found to be inversely correlated to pO2 in the 9L-glioma model (P=.05 and .03). Carbogen increased the TCD50 of 9L-glioma but did not increase the GD of rhabdomyosarcoma. Only R2* was predictive (P<.05) for the curability of 9L-glioma at 40 Gy, a dose that showed a difference in response to RT between carbogen and air-breathing groups. (18)F-FAZA positron emission tomography imaging has been shown to be a predictive marker under the same conditions. CONCLUSION This work illustrates the sensitivity of oxygen-sensitive R1 and R2* parameters to changes in tumor oxygenation. However, R1 parameters showed limitations in terms of predicting the outcome of RT in the tumor models studied, whereas R2* was found to be correlated with the outcome in the responsive model.
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Affiliation(s)
- Thanh-Trang Cao-Pham
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Ly-Binh-An Tran
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Florence Colliez
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Nicolas Joudiou
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Sabrina El Bachiri
- Université Catholique de Louvain, IMMAQ Technological Platform, Methodology and Statistical Support, Louvain-la-Neuve, Belgium
| | - Vincent Grégoire
- Université Catholique de Louvain, Institute of Experimental and Clinical Research, Center for Molecular Imaging, Radiotherapy and Oncology, Brussels, Belgium
| | - Philippe Levêque
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Bernard Gallez
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium
| | - Bénédicte F Jordan
- Université Catholique de Louvain, Louvain Drug Research Institute, Biomedical Magnetic Resonance Research Group, Brussels, Belgium.
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38
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A role for dynamic contrast-enhanced magnetic resonance imaging in predicting tumour radiation response. Br J Cancer 2016; 114:1206-11. [PMID: 27140315 PMCID: PMC4891499 DOI: 10.1038/bjc.2016.110] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/25/2016] [Accepted: 03/22/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Dynamic contrast-enhanced (DCE) MRI may provide prognostic insights into tumour radiation response. This study examined quantitative DCE MRI parameters in rat tumours, as potential biomarkers of tumour growth delay following single high-dose irradiation. METHODS Dunning R3327-AT1 prostate tumours were evaluated by DCE MRI following intravenous injection of Gd-DTPA. The next day tumours were irradiated (single dose of 30 Gy), while animals breathed air (n=4) or oxygen (n=4); two animals were non-irradiated controls. Growth was followed and tumour volume-quadrupling time (T4) was compared with pre-irradiation DCE assessments. RESULTS Irradiation caused significant tumour growth delay (T4 ranged from 28 to 48 days for air-breathing rats, and 40 to 75 days for oxygen-breathing rats) compared with the controls (T4=7 to 9 days). A strong correlation was observed between T4 and extravascular-extracellular volume fraction (ve) irrespective of the gas inhaled during irradiation. There was also a correlation between T4 and volume transfer constant (K(trans)) for the air-breathing group alone. CONCLUSIONS The data provide rationale for expanded studies of other tumour sites, types and progressively patients, and are potentially significant, as many patients undergo contrast-enhanced MRI as part of treatment planning.
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39
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Cao J, Campbell J, Liu L, Mason RP, Lippert AR. In Vivo Chemiluminescent Imaging Agents for Nitroreductase and Tissue Oxygenation. Anal Chem 2016; 88:4995-5002. [PMID: 27054463 PMCID: PMC5033617 DOI: 10.1021/acs.analchem.6b01096] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Tissue oxygenation is a driving parameter of the tumor microenvironment, and hypoxia can be a prognostic indicator of aggressiveness, metastasis, and poor response to therapy. Here, we report a chemiluminescence imaging (CLI) agent based on the oxygen-dependent reduction of a nitroaromatic spiroadamantane 1,2-dioxetane scaffold. Hypoxia ChemiLuminescent Probe 2 (HyCL-2) responds to nitroreductase with ∼170-fold increase in luminescence intensity and high selectivity for enzymatic reductase versus other small molecule reductants. HyCL-2 can image exogenous nitroreductase in vitro and in vivo in living mice, and total luminescent intensity is increased by ∼5-fold under low oxygen conditions. HyCL-2 is demonstrated to report on tumor oxygenation during an oxygen challenge in H1299 lung tumor xenografts grown in a murine model as independently confirmed using multispectral optoacoustic tomography (MSOT) imaging of hemoglobin oxygenation.
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Affiliation(s)
- Jian Cao
- Department of Chemistry, Southern Methodist University, Dallas, TX, 75275-0314
- Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, TX, 75275-0314
| | - James Campbell
- Prognostic Imaging Research Laboratory (PIRL), Pre-clinical Imaging Section, Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390-9058, USA
| | - Li Liu
- Prognostic Imaging Research Laboratory (PIRL), Pre-clinical Imaging Section, Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390-9058, USA
| | - Ralph P. Mason
- Prognostic Imaging Research Laboratory (PIRL), Pre-clinical Imaging Section, Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390-9058, USA
| | - Alexander R. Lippert
- Department of Chemistry, Southern Methodist University, Dallas, TX, 75275-0314
- Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, TX, 75275-0314
- Center for Global Health Impact (CGHI), Southern Methodist University, Dallas, TX, 75275-0314
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40
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O'Connor JPB, Boult JKR, Jamin Y, Babur M, Finegan KG, Williams KJ, Little RA, Jackson A, Parker GJM, Reynolds AR, Waterton JC, Robinson SP. Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models. Cancer Res 2016; 76:787-95. [PMID: 26659574 PMCID: PMC4757751 DOI: 10.1158/0008-5472.can-15-2062] [Citation(s) in RCA: 115] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 11/09/2015] [Indexed: 01/10/2023]
Abstract
There is a clinical need for noninvasive biomarkers of tumor hypoxia for prognostic and predictive studies, radiotherapy planning, and therapy monitoring. Oxygen-enhanced MRI (OE-MRI) is an emerging imaging technique for quantifying the spatial distribution and extent of tumor oxygen delivery in vivo. In OE-MRI, the longitudinal relaxation rate of protons (ΔR1) changes in proportion to the concentration of molecular oxygen dissolved in plasma or interstitial tissue fluid. Therefore, well-oxygenated tissues show positive ΔR1. We hypothesized that the fraction of tumor tissue refractory to oxygen challenge (lack of positive ΔR1, termed "Oxy-R fraction") would be a robust biomarker of hypoxia in models with varying vascular and hypoxic features. Here, we demonstrate that OE-MRI signals are accurate, precise, and sensitive to changes in tumor pO2 in highly vascular 786-0 renal cancer xenografts. Furthermore, we show that Oxy-R fraction can quantify the hypoxic fraction in multiple models with differing hypoxic and vascular phenotypes, when used in combination with measurements of tumor perfusion. Finally, Oxy-R fraction can detect dynamic changes in hypoxia induced by the vasomodulator agent hydralazine. In contrast, more conventional biomarkers of hypoxia (derived from blood oxygenation-level dependent MRI and dynamic contrast-enhanced MRI) did not relate to tumor hypoxia consistently. Our results show that the Oxy-R fraction accurately quantifies tumor hypoxia noninvasively and is immediately translatable to the clinic.
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Affiliation(s)
- James P B O'Connor
- Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom. Department of Radiology, Christie NHS Foundation Trust, Manchester, United Kingdom. james.o'
| | - Jessica K R Boult
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Yann Jamin
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Muhammad Babur
- Manchester Pharmacy School, University of Manchester, Manchester, United Kingdom
| | - Katherine G Finegan
- Manchester Pharmacy School, University of Manchester, Manchester, United Kingdom
| | - Kaye J Williams
- Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Manchester Pharmacy School, University of Manchester, Manchester, United Kingdom
| | - Ross A Little
- Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom
| | - Alan Jackson
- Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom
| | - Geoff J M Parker
- Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom
| | - Andrew R Reynolds
- Tumour Biology Team, Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - John C Waterton
- Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom
| | - Simon P Robinson
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
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