Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors
Abstract Background Blood‐brain barrier (BBB) permeability can be assessed quantitatively using advanced imaging analysis. Hypothesis/Objectives Quantification and characterization of blood‐brain barrier dysfunction (BBBD) patterns in dogs with brain tumors can provide useful information about tumor...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | Journal of Veterinary Internal Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jvim.16654 |
| _version_ | 1797856192467304448 |
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| author | Erez Hanael Shelly Baruch Orit Chai Liron Lishitsky Tal Blum Kira Rapoport Marco Ruggeri Zahi Aizenberg Dana Peery Nina Meyerhoff Holger Andreas Volk Steven De Decker Andrea Tipold Wolfgang Baumgaertner Alon Friedman Merav Shamir |
| author_facet | Erez Hanael Shelly Baruch Orit Chai Liron Lishitsky Tal Blum Kira Rapoport Marco Ruggeri Zahi Aizenberg Dana Peery Nina Meyerhoff Holger Andreas Volk Steven De Decker Andrea Tipold Wolfgang Baumgaertner Alon Friedman Merav Shamir |
| author_sort | Erez Hanael |
| collection | DOAJ |
| description | Abstract Background Blood‐brain barrier (BBB) permeability can be assessed quantitatively using advanced imaging analysis. Hypothesis/Objectives Quantification and characterization of blood‐brain barrier dysfunction (BBBD) patterns in dogs with brain tumors can provide useful information about tumor biology and assist in distinguishing between gliomas and meningiomas. Animals Seventy‐eight hospitalized dogs with brain tumors and 12 control dogs without brain tumors. Methods In a 2‐arm study, images from a prospective dynamic contrast‐enhanced (DCE; n = 15) and a retrospective archived magnetic resonance imaging study (n = 63) were analyzed by DCE and subtraction enhancement analysis (SEA) to quantify BBB permeability in affected dogs relative to control dogs (n = 6 in each arm). For the SEA method, 2 ranges of postcontrast intensity differences, that is, high (HR) and low (LR), were evaluated as possible representations of 2 classes of BBB leakage. BBB score was calculated for each dog and was associated with clinical characteristics and tumor location and class. Permeability maps were generated, using the slope values (DCE) or intensity difference (SEA) of each voxel, and analyzed. Results Distinctive patterns and distributions of BBBD were identified for intra‐ and extra‐axial tumors. At a cutoff of 0.1, LR/HR BBB score ratio yielded a sensitivity of 80% and specificity of 100% in differentiating gliomas from meningiomas. Conclusions and Clinical Importance Blood‐brain barrier dysfunction quantification using advanced imaging analyses has the potential to be used for assessment of brain tumor characteristics and behavior and, particularly, to help differentiating gliomas from meningiomas. |
| first_indexed | 2024-04-09T20:36:25Z |
| format | Article |
| id | doaj.art-18223421b2394972a24b93d30980cc39 |
| institution | Directory Open Access Journal |
| issn | 0891-6640 1939-1676 |
| language | English |
| last_indexed | 2024-04-09T20:36:25Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Veterinary Internal Medicine |
| spelling | doaj.art-18223421b2394972a24b93d30980cc392023-03-30T07:47:06ZengWileyJournal of Veterinary Internal Medicine0891-66401939-16762023-03-0137260661710.1111/jvim.16654Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumorsErez Hanael0Shelly Baruch1Orit Chai2Liron Lishitsky3Tal Blum4Kira Rapoport5Marco Ruggeri6Zahi Aizenberg7Dana Peery8Nina Meyerhoff9Holger Andreas Volk10Steven De Decker11Andrea Tipold12Wolfgang Baumgaertner13Alon Friedman14Merav Shamir15The Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelSchool of Veterinary Medicine Hannover Small Animal Medicine and Surgery Hannover GermanySchool of Veterinary Medicine Hannover Small Animal Medicine and Surgery Hannover GermanyDepartment of Clinical Sciences, Royal Veterinary College University of London Hertfordshire UKSchool of Veterinary Medicine Hannover Small Animal Medicine and Surgery Hannover GermanySchool of Veterinary Medicine Hannover Small Animal Medicine and Surgery Hannover GermanyFaculty of Medicine, Department of Medical Neuroscience Halifax Dalhousie University Nova Scotia CanadaThe Koret School of Veterinary Medicine, Neurology and Neurosurgery Hebrew University of Jerusalem Reehovot IsraelAbstract Background Blood‐brain barrier (BBB) permeability can be assessed quantitatively using advanced imaging analysis. Hypothesis/Objectives Quantification and characterization of blood‐brain barrier dysfunction (BBBD) patterns in dogs with brain tumors can provide useful information about tumor biology and assist in distinguishing between gliomas and meningiomas. Animals Seventy‐eight hospitalized dogs with brain tumors and 12 control dogs without brain tumors. Methods In a 2‐arm study, images from a prospective dynamic contrast‐enhanced (DCE; n = 15) and a retrospective archived magnetic resonance imaging study (n = 63) were analyzed by DCE and subtraction enhancement analysis (SEA) to quantify BBB permeability in affected dogs relative to control dogs (n = 6 in each arm). For the SEA method, 2 ranges of postcontrast intensity differences, that is, high (HR) and low (LR), were evaluated as possible representations of 2 classes of BBB leakage. BBB score was calculated for each dog and was associated with clinical characteristics and tumor location and class. Permeability maps were generated, using the slope values (DCE) or intensity difference (SEA) of each voxel, and analyzed. Results Distinctive patterns and distributions of BBBD were identified for intra‐ and extra‐axial tumors. At a cutoff of 0.1, LR/HR BBB score ratio yielded a sensitivity of 80% and specificity of 100% in differentiating gliomas from meningiomas. Conclusions and Clinical Importance Blood‐brain barrier dysfunction quantification using advanced imaging analyses has the potential to be used for assessment of brain tumor characteristics and behavior and, particularly, to help differentiating gliomas from meningiomas.https://doi.org/10.1111/jvim.16654blood‐brain barrierCNS disordersepilepsygliomameningiomaneurology |
| spellingShingle | Erez Hanael Shelly Baruch Orit Chai Liron Lishitsky Tal Blum Kira Rapoport Marco Ruggeri Zahi Aizenberg Dana Peery Nina Meyerhoff Holger Andreas Volk Steven De Decker Andrea Tipold Wolfgang Baumgaertner Alon Friedman Merav Shamir Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors Journal of Veterinary Internal Medicine blood‐brain barrier CNS disorders epilepsy glioma meningioma neurology |
| title | Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors |
| title_full | Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors |
| title_fullStr | Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors |
| title_full_unstemmed | Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors |
| title_short | Quantitative analysis of magnetic resonance images for characterization of blood‐brain barrier dysfunction in dogs with brain tumors |
| title_sort | quantitative analysis of magnetic resonance images for characterization of blood brain barrier dysfunction in dogs with brain tumors |
| topic | blood‐brain barrier CNS disorders epilepsy glioma meningioma neurology |
| url | https://doi.org/10.1111/jvim.16654 |
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