Oxygen-induced MR signal changes in murine tumors |
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| Affiliation: | 1. Department of Diagnostic Radiology, Klinikum Grosshadern, University of Munich, Munich, Germany;2. Department of Radiation Oncology, Klinikum Rechts-der-Isar, Technical University of Munich, Munich, Germany;3. Nuclear Medicine, Klinikum Rechts-der-Isar, Technical University of Munich, Germany;1. Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan;2. Section of Radiation Therapy, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan;1. Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom;2. Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom;3. Centre for Cancer Genetic Epidemiology, Strangeways Research Laboratory, University of Cambridge, Cambridge, United Kingdom;4. Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain;5. Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain;6. Department of Radiation Oncology, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain;7. Institut de Recherche en Cancérologie de Montpellier, University Federation of Radiation Oncology of Mediterranean Occitanie, Université de Montpellier, INSERM U1194 IRCM, Montpellier, France;8. Radiation Oncology, UZ Leuven, Leuven, Belgium;9. Department of Human Structure and Repair, Ghent University, Ghent, Belgium;10. Unit of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy;11. Institut de Cancérologie du Gard, University Federation of Radiation Oncology of Mediterranean Occitanie, CHU Carémeau, Nîmes, France;12. Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany;13. Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;14. Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK;15. Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA;p. Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain;q. Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany;r. Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium;s. Unit of Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy;t. MAASTRO Clinic, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands;u. Leicester Cancer Research Centre, University of Leicester, Leicester, United Kingdom;v. Patient Advocate, Independent Cancer Patients’ Voice, UK;w. Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain;1. Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada;2. Sunnybrook Research Institute, Toronto, ON, Canada;3. Department of Otolaryngology - Head and Neck Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada |
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| Abstract: | Breathing of 100% oxygen was used to challenge vascular autoregulation in 14 mice with either osteosarcomas (n = 6) or mammary carcinomas (n = 8). Reproducible and statistically significant signal intensity changes of –29 ± 6% to +35 ± 3% were observed on heavily T21-weighted images in the tumors during the oxygen challenge. No significant changes were observed in muscle. For the mammary carcinomas a higher percentage of tumor voxels showed significant signal-intensity decrease (31 ± 8%) compared to the percentage of voxels showing a signal-intensity increase (22 ± 3%). In contrast, for the osteosarcomas, a higher percentage of tumor voxels showed signal-intensity increase (52 ± 9%) compared to the percentage of voxels showing signal-intensity decrease (27 ± 9%). The regional distribution of these signal intensity changes did not correlate with the signal pattern on T1-, T2-,and T21-weighted and Gd-DTPA enhanced images acquired without breathing 100% oxygen. Most likely, the signal intensity changes represented the inability of the tumor’s neovascularization for autoregulation during the oxygen challenge, particularly in hypoxic regions. Although further investigation is needed, the findings that malignant tumor tissue showed signal intensity changes, whereas normal muscle tissue did not, suggests that this technique may prove useful in distinguishing benign from malignant tissue. |
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