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Lejoly M, Van Den Berghe T, Creytens D, Huysse W, Lapeire L, Sys G, Verstraete K. Diagnosis and monitoring denosumab therapy of giant cell tumors of bone: radiologic-pathologic correlation. Skeletal Radiol 2024; 53:353-364. [PMID: 37515643 DOI: 10.1007/s00256-023-04403-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/31/2023]
Abstract
OBJECTIVE To determine the value of CT and dynamic contrast-enhanced (DCE-)MRI for monitoring denosumab therapy of giant cell tumors of bone (GCTB) by correlating it to histopathology. MATERIALS AND METHODS Patients with GCTB under denosumab treatment and monitored with CT and (DCE-)MRI (2012-2021) were retrospectively included. Imaging and (semi-)quantitative measurements were used to assess response/relapse. Tissue samples were analyzed using computerized segmentation for vascularization and number of neoplastic and giant cells. Pearson's correlation/Spearman's rank coefficient and Kruskal-Wallis tests were used to assess correlations between histopathology and radiology. RESULTS Six patients (28 ± 8years; five men) were evaluated. On CT, good responders showed progressive re-ossification (+7.8HU/month) and cortical remodeling (woven bone). MRI showed an SI decrease relative to muscle on T1-weighted (-0.01 A.U./month) and on fat-saturated T2-weighted sequences (-0.03 A.U./month). Time-intensity-curves evolved from a type IV with high first pass, high amplitude, and steep wash-out to a slow type II. An increase in time-to-peak (+100%) and a decrease in Ktrans (-71%) were observed. This is consistent with microscopic examination, showing a decrease of giant cells (-76%), neoplastic cells (-63%), and blood vessels (-28%). There was a strong statistical significant inverse correlation between time-to-peak and microvessel density (ρ = -0.9, p = 0.01). Significantly less neoplastic (p = 0.03) and giant cells (p = 0.04) were found with a time-intensity curve type II, compared to a type IV. Two patients showed relapse after initial good response when stopping denosumab. Inverse imaging and pathological findings were observed. CONCLUSION CT and (DCE-)MRI show a good correlation with pathology and allow adequate evaluation of response to denosumab and detection of therapy failure.
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Affiliation(s)
- Maryse Lejoly
- Department of Radiology and Medical Imaging, Ghent University Hospital, 1K12/Entrance 12 Route 1590, Corneel Heymanslaan 10, B-9000, Ghent, Belgium.
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
| | - Thomas Van Den Berghe
- Department of Radiology and Medical Imaging, Ghent University Hospital, 1K12/Entrance 12 Route 1590, Corneel Heymanslaan 10, B-9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - David Creytens
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Pathology, Ghent University Hospital, Ghent, Belgium
| | - Wouter Huysse
- Department of Radiology and Medical Imaging, Ghent University Hospital, 1K12/Entrance 12 Route 1590, Corneel Heymanslaan 10, B-9000, Ghent, Belgium
| | - Lore Lapeire
- Department of Medical Oncology, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Gwen Sys
- Department of Orthopedics and Traumatology, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Koenraad Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, 1K12/Entrance 12 Route 1590, Corneel Heymanslaan 10, B-9000, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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Shazeeb MS, King RM, Brooks OW, Puri AS, Henninger N, Boltze J, Gounis MJ. Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion. Transl Stroke Res 2019; 11:468-480. [PMID: 31478129 DOI: 10.1007/s12975-019-00732-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 08/19/2019] [Accepted: 08/21/2019] [Indexed: 11/26/2022]
Abstract
Mechanical thrombectomy for the treatment of ischemic stroke shows high rates of recanalization; however, some patients still have a poor clinical outcome. A proposed reason for this relates to the fact that the ischemic infarct growth differs significantly between patients. While some patients demonstrate rapid evolution of their infarct core (fast evolvers), others have substantial potentially salvageable penumbral tissue even hours after initial vessel occlusion (slow evolvers). We show that the dog middle cerebral artery occlusion model recapitulates this key aspect of human stroke rendering it a highly desirable model to develop novel multimodal treatments to improve clinical outcomes. Moreover, this model is well suited to develop novel image analysis techniques that allow for improved lesion evolution prediction; we provide proof-of-concept that MRI perfusion-based time-to-peak maps can be utilized to predict the rate of infarct growth as validated by apparent diffusion coefficient-derived lesion maps allowing reliable classification of dogs into fast versus slow evolvers enabling more robust study design for interventional research.
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Affiliation(s)
- Mohammed Salman Shazeeb
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
- Image Processing and Analysis Core, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
| | - Robert M King
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA
| | - Olivia W Brooks
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
- St. George's University School of Medicine, St. George's, West Indies, Grenada
| | - Ajit S Puri
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Johannes Boltze
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Matthew J Gounis
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
- Image Processing and Analysis Core, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, USA
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Taneja K, Lu H, Welch BG, Thomas BP, Pinho M, Lin D, Hillis AE, Liu P. Evaluation of cerebrovascular reserve in patients with cerebrovascular diseases using resting-state MRI: A feasibility study. Magn Reson Imaging 2019; 59:46-52. [PMID: 30849484 DOI: 10.1016/j.mri.2019.03.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 03/03/2019] [Accepted: 03/04/2019] [Indexed: 11/22/2022]
Abstract
PURPOSE To demonstrate the feasibility of mapping cerebrovascular reactivity (CVR) using resting-state functional MRI (fMRI) data without gas or other challenges in patients with cerebrovascular diseases and to show that brain regions affected by the diseases have diminished vascular reactivity. MATERIALS AND METHODS Two sub-studies were performed on patients with stroke and Moyamoya disease. In Study 1, 20 stroke patients (56.3 ± 9.7 years, 7 females) were enrolled and resting-state blood‑oxygenation-level-dependent (rs-BOLD) fMRI data were collected, from which CVR maps were computed. CVR values were compared across lesion, perilesional and control ROIs defined on anatomic images. Reproducibility of the CVR measurement was tested in 6 patients with follow-up scans. In Study 2, rs-BOLD fMRI and dynamic susceptibility contrast (DSC) MRI scans were collected in 5 patients with Moyamoya disease (32.4 ± 8.2 years, 4 females). Cerebral blood flow (CBF), cerebral blood volume (CBV), and time-to-peak (TTP) maps were obtained from the DSC MRI data. CVR values were compared between stenotic brain regions and control regions perfused by non-stenotic arteries. RESULTS In stroke patients, lesion CVR (0.250 ± 0.055 relative unit (r.u.)) was lower than control CVR (0.731 ± 0.088 r.u., p = 0.0002). CVR was also lower in the perilesional regions in a graded manner (perilesion 1 CVR = 0.422 ± 0.051 r.u., perilesion 2 CVR = 0.492 ± 0.046 r.u.), relative to that in the control regions (p = 0.005 and 0.036, respectively). In the repeatability analysis, a strong correlation was observed between lesion CVR (r2 = 0.91, p = 0.006) measured at two time points, as well as between control CVR (r2 = 0.79, p = 0.036) at two time points. In Moyamoya patients, CVR in the perfusion deficit regions delineated by DSC TTP maps (0.178 ± 0.189 r.u.) was lower than that in the control regions (0.868 ± 0.214 r.u., p = 0.013). Furthermore, the extent of reduction in CVR was significantly correlated with the extent of lengthening in TTP (r2 = 0.91, p = 0.033). CONCLUSION Our findings suggested that rs-BOLD data can be used to reproducibly evaluate CVR in patients with cerebrovascular diseases without the use of any vasoactive challenges.
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Kaczmarz S, Griese V, Preibisch C, Kallmayer M, Helle M, Wustrow I, Petersen ET, Eckstein HH, Zimmer C, Sorg C, Göttler J. Increased variability of watershed areas in patients with high-grade carotid stenosis. Neuroradiology 2018; 60:311-323. [PMID: 29299616 DOI: 10.1007/s00234-017-1970-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 12/19/2017] [Indexed: 12/28/2022]
Abstract
PURPOSE Watershed areas (WSAs) of the brain are most susceptible to acute hypoperfusion due to their peripheral location between vascular territories. Additionally, chronic WSA-related vascular processes underlie cognitive decline especially in patients with cerebral hemodynamic compromise. Despite of high relevance for both clinical diagnostics and research, individual in vivo WSA definition is fairly limited to date. Thus, this study proposes a standardized segmentation approach to delineate individual WSAs by use of time-to-peak (TTP) maps and investigates spatial variability of individual WSAs. METHODS We defined individual watershed masks based on relative TTP increases in 30 healthy elderly persons and 28 patients with unilateral, high-grade carotid stenosis, being at risk for watershed-related hemodynamic impairment. Determined WSA location was confirmed by an arterial transit time atlas and individual super-selective arterial spin labeling. We compared spatial variability of WSA probability maps between groups and assessed TTP differences between hemispheres in individual and group-average watershed locations. RESULTS Patients showed significantly higher spatial variability of WSAs than healthy controls. Perfusion on the side of the stenosis was delayed within individual watershed masks as compared to a watershed template derived from controls, being independent from the grade of the stenosis and collateralization status of the circle of Willis. CONCLUSION Results demonstrate feasibility of individual WSA delineation by TTP maps in healthy elderly and carotid stenosis patients. Data indicate necessity of individual segmentation approaches especially in patients with hemodynamic compromise to detect critical regions of impaired hemodynamics.
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Affiliation(s)
- Stephan Kaczmarz
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- TUM Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Vanessa Griese
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- TUM Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christine Preibisch
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- Clinic for Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Michael Kallmayer
- Department of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Michael Helle
- Research Laboratories, Philips GmbH Innovative Technologies, Hamburg, Germany
| | - Isabel Wustrow
- I. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Esben Thade Petersen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
- Center for Magnetic Resonance, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Hans-Henning Eckstein
- Department of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Christian Sorg
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
- TUM Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jens Göttler
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
- TUM Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
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