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Bani-Sadr A, Mechtouff L, Hermier M, Eker OF, Rascle L, de Bourguignon C, Boutelier T, Martin A, Tommasino E, Ong E, Fontaine J, Cho TH, Derex L, Nighoghossian N, Berthezene Y. Cerebral collaterals are associated with pre-treatment brain-blood barrier permeability in acute ischemic stroke patients. Eur Radiol 2024:10.1007/s00330-024-10830-4. [PMID: 38861162 DOI: 10.1007/s00330-024-10830-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 04/08/2024] [Accepted: 05/16/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION To investigate the relationship between collaterals and blood-brain barrier (BBB) permeability on pre-treatment MRI in a cohort of acute ischemic stroke (AIS) patients treated with thrombectomy. METHODS We conducted a retrospective analysis of the HIBISCUS-STROKE cohort, a single-center observational study that enrolled patients treated with thrombectomy from 2016 to 2022. Dynamic-susceptibility MRIs were post-processed to generate K2 maps with arrival-time correction, which were co-registered with apparent diffusion coefficient (ADC) maps. The 90th percentile of K2 was extracted from the infarct core-defined by an ADC ≤ 620 × 10-6 mm2/s with manual adjustments-and expressed as a percentage change compared to the contralateral white matter. Collaterals were assessed using pre-thrombectomy digital subtraction arteriography with an ASITN/SIR score < 3 defining poor collaterals. RESULTS Out of 249 enrolled, 101 (40.6%) were included (median age: 72.0 years, 52.5% of males, median NIHSS score at admission: 15.0). Patients with poor collaterals (n = 44) had worse NIHSS scores (median: 16.0 vs 13.0, p = 0.04), larger infarct core volumes (median: 43.7 mL vs 9.5 mL, p < 0.0001), and higher increases in K2 (median: 346.3% vs 152.7%, p = 0.003). They were less likely to achieve successful recanalization (21/44 vs 51/57, p < 0.0001) and experienced more frequent hemorrhagic transformation (16/44 vs 9/57, p = 0.03). On multiple variable analysis, poor collaterals were associated with larger infarct cores (odds ratio (OR) = 1.12, 95% confidence interval (CI): [1.07, 1.17], p < 0.0001) and higher increases in K2 (OR = 6.63, 95% CI: [2.19, 20.08], p = 0.001). CONCLUSION Poor collaterals are associated with larger infarct cores and increased BBB permeability at admission MRI. CLINICAL RELEVANCE STATEMENT Poor collaterals are associated with a larger infarct core and increased BBB permeability at admission MRI of AIS patients treated with thrombectomy. These findings may have translational interests for extending thrombolytic treatment eligibility and developing neuroprotective strategies. KEY POINTS In AIS, collaterals and BBB disruption have been both linked to hemorrhagic transformation. Poor collaterals were associated with larger ischemic cores and increased BBB permeability on pre-treatment MRI. These findings could contribute to hemorrhagic transformation risk stratification, thereby refining clinical decision-making for reperfusion therapies.
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Affiliation(s)
- Alexandre Bani-Sadr
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France.
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France.
| | - Laura Mechtouff
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Marc Hermier
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Omer F Eker
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France
| | - Lucie Rascle
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | | | | | - Anna Martin
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Emanuele Tommasino
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Elodie Ong
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Julia Fontaine
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Tae-Hee Cho
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Laurent Derex
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Norbert Nighoghossian
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Yves Berthezene
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France
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Bani-Sadr A, Mechtouff L, De Bourguignon C, Mauffrey A, Boutelier T, Cho TH, Cappucci M, Ameli R, Hermier M, Derex L, Nighoghossian N, Berthezene Y. Blood-Brain Barrier Permeability and Kinetics of Inflammatory Markers in Acute Stroke Patients Treated With Thrombectomy. Neurology 2023; 101:e502-e511. [PMID: 37290975 PMCID: PMC10401692 DOI: 10.1212/wnl.0000000000207460] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/13/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The aim of this study was to investigate the relationship between baseline blood-brain barrier (BBB) permeability and the kinetics of circulating inflammatory markers in a cohort of acute ischemic stroke (AIS) patients treated with mechanical thrombectomy. METHODS The CoHort of Patients to Identify Biological and Imaging markerS of CardiovascUlar Outcomes in Stroke includes AIS patients treated with mechanical thrombectomy after admission MRI and undergoing a sequential assessment of circulating inflammatory markers. Baseline dynamic susceptibility perfusion MRI was postprocessed with arrival time correction to provide K2 maps reflecting BBB permeability. After coregistration of apparent diffusion coefficient and K2 maps, the 90th percentile of K2 value was extracted within baseline ischemic core and expressed as a percentage change compared with contralateral normal-appearing white matter. Population was dichotomized according to the median K2 value. Univariable and multiple variable logistic regression analyses were performed to investigate factors associated with increased pretreatment BBB permeability in the whole population and in patients with symptom onset <6 hours. RESULTS In the whole population (n = 105 patients, median K2 = 1.59), patients with an increased BBB permeability had higher serum levels of matrix metalloproteinase (MMP)-9 at H48 (p = 0.02), a higher C-reactive protein (CRP) serum level at H48 (p = 0.01), poorer collateral status (p = 0.01), and a larger baseline ischemic core (p < 0.001). They were more likely to have hemorrhagic transformation (p = 0.008), larger final lesion volume (p = 0.02), and worst neurologic outcome at 3 months (p = 0.04). The multiple variable logistic regression indicated that an increased BBB permeability was associated only with ischemic core volume (odds ratio [OR] 1.04, 95% CI 1.01-1.06, p < 0.0001). Restricting analysis to patients with symptom onset <6 hours (n = 72, median K2 = 1.27), participants with an increased BBB permeability had higher serum levels of MMP-9 at H0 (p = 0.005), H6 (p = 0.004), H24 (p = 0.02), and H48 (p = 0.01), higher CRP levels at H48 (p = 0.02), and a larger baseline ischemic core (p < 0.0001). The multiple variable logistic analysis showed that increased BBB permeability was independently associated with higher H0 MMP-9 levels (OR 1.33, 95% CI 1.12-1.65, p = 0.01) and a larger ischemic core (OR 1.27, 95% CI 1.08-1.59, p = 0.04). DISCUSSION In AIS patients, increased BBB permeability is associated with a larger ischemic core. In the subgroup of patients with symptom onset <6 hours, increased BBB permeability is independently associated with higher H0 MMP-9 levels and a larger ischemic core.
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Affiliation(s)
- Alexandre Bani-Sadr
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France.
| | - Laura Mechtouff
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Charles De Bourguignon
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Aela Mauffrey
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Timothe Boutelier
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Tae-Hee Cho
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Matteo Cappucci
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Roxana Ameli
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Marc Hermier
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Laurent Derex
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Norbert Nighoghossian
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
| | - Yves Berthezene
- From the Hospices Civils de Lyon (A.B.-S., L.M., C.D.B., T.-H.C., M.C., R.A., M.H., L.D., N.N., Y.B.); and Olea Medical (A.M., T.B.), La Ciotat, France
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Elschot EP, Backes WH, de Jong JJA, Drenthen GS, Wong SM, Staals J, Postma AA, Rouhl RPW, van Oostenbrugge RJ, Jansen JFA. Assessment of the clinical feasibility of detecting subtle blood-brain barrier leakage in cerebral small vessel disease using dynamic susceptibility contrast MRI. Magn Reson Imaging 2023; 102:55-61. [PMID: 37137345 DOI: 10.1016/j.mri.2023.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023]
Abstract
PURPOSE Cerebral small vessel disease (cSVD) involves several pathologies affecting the small vessels, including blood-brain barrier (BBB) impairment. Dynamic susceptibility contrast (DSC) MRI is sensitive to both blood perfusion and BBB leakage, and correction methods may be crucial for obtaining reliable perfusion measures. These methods might also be applicable to detect BBB leakage itself. This study investigated to what extent DSC-MRI can measure subtle BBB leakage in a clinical feasibility setting. METHODS In vivo DCE and DSC data were collected from fifteen cSVD patients (71 (±10) years, 6F/9M) and twelve elderly controls (71 (±10) years, 4F/8M). DSC-derived leakage fractions were obtained using the Boxerman-Schmainda-Weisskoff method (K2). K2 was compared with the DCE-derived leakage rate Ki, obtained from Patlak analysis. Subsequently, differences were assessed between white matter hyperintensities (WMH), cortical gray matter (CGM), and normal-appearing white matter (NAWM). Additionally, computer simulations were performed to assess the sensitivity of DSC-MRI to BBB leakage. RESULTS K2 showed significant differences between tissue regions (P < 0.001 for CGM-NAWM and CGM-WMH, and P = 0.001 for NAWM-WMH). Conversely, according to the computer simulations the DSC sensitivity was insufficient to measure subtle BBB leakage, as the K2 values were below the derived limit of quantification (4∙10-3 min-1). As expected, Ki was elevated in the WMH compared to CGM and NAWM (P < 0.001). CONCLUSIONS Although clinical DSC-MRI seems capable to detect subtle BBB leakage differences between WMH and normal-appearing brain tissue it is not recommended. K2 as a direct measure for subtle BBB leakage remains ambiguous as its signal effects are due to mixed T1- and T2∗-weighting. Further research is warranted to better disentangle perfusion from leakage effects.
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Affiliation(s)
- Elles P Elschot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Joost J A de Jong
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Gerhard S Drenthen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Sau May Wong
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Rob P W Rouhl
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; Academic Center for Epileptology Kempenhaeghe/MUMC+, Heeze and Maastricht, the Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, the Netherlands; Academic Center for Epileptology Kempenhaeghe/MUMC+, Heeze and Maastricht, the Netherlands.
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Kim HR, Kim SH, Nam KH. Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer. Curr Oncol 2023; 30:2543-2554. [PMID: 36826155 PMCID: PMC9955503 DOI: 10.3390/curroncol30020194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/09/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND To evaluate the association between perfusion parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors in primary rectal cancer patients. METHODS A sample of 51 patients with pathologically proven rectal adenocarcinoma through surgery were retrospectively enrolled. All the patients underwent preoperative DCE-MRI including 3D-spoiled gradient echo. Two radiologists determined the tumor border after radiologic-pathologic correlation and drew regions of interest. The perfusion parameters, including the volume transfer constant (Ktrans), were calculated under the extended Toft model. The prognostic factors included TN stage, circumferential resection margin, extramural venous invasion, Kirsten-ras mutation, tumor size, carcinoembryonic antigen, and tumor differentiation. The association was assessed via correlation or t-test. For significant prognostic factors, receiver operating characteristic (ROC) curve analyses were performed to estimate the diagnostic predictive values. RESULTS Ktrans only showed a significant difference according to tumor differentiation, between the well-differentiated (n = 6) and moderately differentiated (n = 45) groups (0.127 ± 0.032, 0.084 ± 0.036, p = 0.036). The AUC was 0.838 (95% CI, 0.702-0.929), and the estimated accuracy, sensitivity, and specificity were 87%, 90%, and 60%, respectively. CONCLUSIONS Ktrans showed a significant difference based on tumor differentiation, which may be conducive to prediction of prognosis in primary rectal cancer.
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Affiliation(s)
- Hye Ri Kim
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea
| | - Seung Ho Kim
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea
- Correspondence: ; Tel.: +82-51-797-0382
| | - Kyung Han Nam
- Department of Pathology, Inje University College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea
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Scola E, Desideri I, Bianchi A, Gadda D, Busto G, Fiorenza A, Amadori T, Mancini S, Miele V, Fainardi E. Assessment of brain tumors by magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging and computed tomography perfusion: a comparison study. LA RADIOLOGIA MEDICA 2022; 127:664-672. [PMID: 35441970 DOI: 10.1007/s11547-022-01470-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 02/11/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE To investigate the association and agreement between magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and computed tomography perfusion (CTP) in determining vascularity and permeability of primary and secondary brain tumors. MATERIAL AND METHODS DSC-PWI and CTP studies from 97 patients with high-grade glioma, low-grade glioma and solitary brain metastasis were retrospectively reviewed. Normalized cerebral blood flow (nCBF), cerebral blood volume (nCBV), capillary transfer constant (nK2) and permeability surface area product (nPS) values were obtained. Variables among groups were compared, and correlation and agreement between DSC-PWI and CTP were tested. RESULTS All DSC-PWI and CTP parameters were higher in high-grade than in low-grade gliomas (p < 0.01 and p < 0.001). Metastases had greater DSC-PWI nCBV (p < 0.05), nCTP-CBF (p < 0.05), nCTP-CBV (p < 0.01) and nCTP-PS (p < 0.0001) than low-grade gliomas and more elevated nCTP-PS (p < 0.01) than high-grade gliomas. The correlation was strong between DSC-PWI nCBF and CTP nCBF (r = 0.79; p < 0.00001) and between DSC-PWI nCBV and CTP nCBV (r = 0.83; p < 0.00001), weaker between DSC-PWI nK2 and CTP nPS (r = 0.29; p < 0.01). Bland-Altman plots indicated that the agreement was strong between DSC-PWI nCBF and CTP nCBF, good between DSC-PWI nCBV and CTP nCBV and poorer between DSC-PWI nK2 and CTP nPS. CONCLUSION DSC-PWI and CTP CBF and CBV maps were comparable and interchangeable in the assessment of tumor vascularity, unlike DSC-PWI K2 and CTP PS maps that were more discordant in the analysis of tumor permeability. CTP could be an alternative method to quantify tumor neoangiogenesis when MRI is not available or when the patient does not tolerate it.
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Affiliation(s)
- Elisa Scola
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy.
| | - Ilaria Desideri
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Andrea Bianchi
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Davide Gadda
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Giorgio Busto
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Alessandro Fiorenza
- Radiodiagnostic Unit N. 2, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Tommaso Amadori
- Radiodiagnostic Unit N. 2, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Sara Mancini
- Radiodiagnostic Unit N. 2, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
| | - Enrico Fainardi
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Radiologia, Ospedale Universitario Careggi, Largo Brambilla 3, 50134, Florence, Italy.,Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
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Chen HSM, Jen ML, Hou P, Stafford RJ, Liu HL. A dynamic susceptibility contrast MRI digital reference object for testing software with leakage correction: Effect of background simulation. Med Phys 2021; 48:6051-6059. [PMID: 34293208 DOI: 10.1002/mp.15125] [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: 02/22/2021] [Revised: 05/22/2021] [Accepted: 07/17/2021] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Dynamic susceptibility contrast (DSC)-MRI is a perfusion imaging technique from which useful quantitative imaging biomarkers can be derived. Relative cerebral blood volume (rCBV) is such a biomarker commonly used for evaluating brain tumors. To account for the extravasation of contrast agents in tumors, post-processing leakage correction is often applied to improve rCBV accuracy. Digital reference objects (DRO) are ideal for testing the post-processing software, because the biophysical model used to generate the DRO can be matched to the one that the software uses. This study aims to develop DROs to validate the leakage correction of software using Weisskoff model and to examine the effect of background signal time curves that are required by the model. METHODS Three DROs were generated using the Weisskoff model, each composed of nine foreground lesion objects with combinations of different levels of rCBV and contrast leakage parameter (K2). Three types of background were implemented for these DROs: (1) a multi-compartment brain-like background, (2) a sphere background with a constant signal time curve, and (3) a sphere background with signal time curve identical to that of the brain-like DRO's white matter (WM). The DROs were then analyzed with an FDA-cleared software with and without leakage correction. Leakage correction was tested with and without brain segmentation. RESULTS Accuracy of leakage correction was able to be verified using the brain-like phantom and the sphere phantom with WM background. The sphere with constant background did not perform well with leakage correction with or without brain segmentation. The DROs were able to verify that for the particular software tested, leakage correction with brain segmentation achieved the lowest error. CONCLUSIONS DSC-MRI DROs with biophysical model matched to that of the post-processing software can be well used for the software's validation, provided that the background signals are also properly simulated for generating the reference time curve required by the model. Care needs to be taken to consider the interaction of the design of the DRO with the software's implementation of brain segmentation to extract the reference time curve.
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Affiliation(s)
- Henry Szu-Meng Chen
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mu-Lan Jen
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ping Hou
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - R Jason Stafford
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ho-Ling Liu
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Callewaert B, Jones EAV, Himmelreich U, Gsell W. Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations. Diagnostics (Basel) 2021; 11:diagnostics11060926. [PMID: 34064194 PMCID: PMC8224283 DOI: 10.3390/diagnostics11060926] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 12/11/2022] Open
Abstract
Alterations to the cerebral microcirculation have been recognized to play a crucial role in the development of neurodegenerative disorders. However, the exact role of the microvascular alterations in the pathophysiological mechanisms often remains poorly understood. The early detection of changes in microcirculation and cerebral blood flow (CBF) can be used to get a better understanding of underlying disease mechanisms. This could be an important step towards the development of new treatment approaches. Animal models allow for the study of the disease mechanism at several stages of development, before the onset of clinical symptoms, and the verification with invasive imaging techniques. Specifically, pre-clinical magnetic resonance imaging (MRI) is an important tool for the development and validation of MRI sequences under clinically relevant conditions. This article reviews MRI strategies providing indirect non-invasive measurements of microvascular changes in the rodent brain that can be used for early detection and characterization of neurodegenerative disorders. The perfusion MRI techniques: Dynamic Contrast Enhanced (DCE), Dynamic Susceptibility Contrast Enhanced (DSC) and Arterial Spin Labeling (ASL), will be discussed, followed by less established imaging strategies used to analyze the cerebral microcirculation: Intravoxel Incoherent Motion (IVIM), Vascular Space Occupancy (VASO), Steady-State Susceptibility Contrast (SSC), Vessel size imaging, SAGE-based DSC, Phase Contrast Flow (PC) Quantitative Susceptibility Mapping (QSM) and quantitative Blood-Oxygenation-Level-Dependent (qBOLD). We will emphasize the advantages and limitations of each strategy, in particular on applications for high-field MRI in the rodent's brain.
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Affiliation(s)
- Bram Callewaert
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
- CMVB, Center for Molecular and Vascular Biology, University of Leuven, Herestraat 49, bus 911, 3000 Leuven, Belgium;
| | - Elizabeth A. V. Jones
- CMVB, Center for Molecular and Vascular Biology, University of Leuven, Herestraat 49, bus 911, 3000 Leuven, Belgium;
- CARIM, Maastricht University, Universiteitssingel 50, 6200 MD Maastricht, The Netherlands
| | - Uwe Himmelreich
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
- Correspondence:
| | - Willy Gsell
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
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8
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Abstract
The blood-brain barrier (BBB) is the interface between the blood and brain tissue, which regulates the maintenance of homeostasis within the brain. Impaired BBB integrity is increasingly associated with various neurological diseases. To gain a better understanding of the underlying processes involved in BBB breakdown, magnetic resonance imaging (MRI) techniques are highly suitable for noninvasive BBB assessment. Commonly used MRI techniques to assess BBB integrity are dynamic contrast-enhanced and dynamic susceptibility contrast MRI, both relying on leakage of gadolinium-based contrast agents. A number of conceptually different methods exist that target other aspects of the BBB. These alternative techniques make use of endogenous markers, such as water and glucose, as contrast media. A comprehensive overview of currently available MRI techniques to assess the BBB condition is provided from a scientific point of view, including potential applications in disease. Improvements that are required to make these techniques clinically more easily applicable will also be discussed.
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9
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Kim SH, Cho KH, Choi SH, Kim TM, Park CK, Park SH, Won JK, Kim IH, Lee ST. Prognostic Predictions for Patients with Glioblastoma after Standard Treatment: Application of Contrast Leakage Information from DSC-MRI within Nonenhancing FLAIR High-Signal-Intensity Lesions. AJNR Am J Neuroradiol 2019; 40:2052-2058. [PMID: 31727756 DOI: 10.3174/ajnr.a6297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 09/16/2019] [Indexed: 01/02/2023]
Abstract
BACKGROUND AND PURPOSE Attempts have been made to quantify the microvascular leakiness of glioblastomas and use it as an imaging biomarker to predict the prognosis of the tumor. The purpose of our study was to evaluate whether the extraction fraction value from DSC-MR imaging within nonenhancing FLAIR hyperintense lesions was a better prognostic imaging biomarker than dynamic contrast-enhanced MR imaging parameters for patients with glioblastoma. MATERIALS AND METHODS A total of 102 patients with glioblastoma who received a preoperative dynamic contrast-enhanced MR imaging and DSC-MR imaging were included in this retrospective study. Patients were classified into the progression (n = 87) or nonprogression (n = 15) groups at 24 months after surgery. We extracted the means and 95th percentile values for the contrast leakage information parameters from both modalities within the nonenhancing FLAIR high-signal-intensity lesions. RESULTS The extraction fraction 95th percentile value was higher in the progression-free survival group of >24 months than at ≤24 months. The median progression-free survival of the group with an extraction fraction 95th percentile value of >13.32 was 17 months, whereas that of the group of ≤13.32 was 12 months. In addition, it was an independent predictor variable for progression-free survival in the patients regardless of their ages and genetic information. CONCLUSIONS The extraction fraction 95th percentile value was the only independent parameter for prognostic prediction in patients with glioblastoma among the contrast leakage information, which has no statistically significant correlations with the DCE-MR imaging parameters.
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Affiliation(s)
- S H Kim
- From the Departments of Radiology (S.H.K., K.H.C., S.H.C.)
| | - K H Cho
- From the Departments of Radiology (S.H.K., K.H.C., S.H.C.)
| | - S H Choi
- From the Departments of Radiology (S.H.K., K.H.C., S.H.C.)
- Center for Nanoparticle Research (S.H.C.), Institute for Basic Science, Seoul, Korea
- School of Chemical and Biological Engineering (S.H.C.), Seoul National University, Seoul, Korea
| | - T M Kim
- Departments of Internal Medicine (T.M.K.)
| | - C K Park
- Department of Neurosurgery (C.K.P.), Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | | | | | - I H Kim
- Radiation Oncology (I.H.K.), Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - S T Lee
- Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Korea
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10
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Ho CY, Supakul N, Patel PU, Seit V, Groswald M, Cardinal J, Lin C, Kralik SF. Differentiation of pilocytic and pilomyxoid astrocytomas using dynamic susceptibility contrast perfusion and diffusion weighted imaging. Neuroradiology 2019; 62:81-88. [PMID: 31676961 DOI: 10.1007/s00234-019-02310-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 10/15/2019] [Indexed: 11/27/2022]
Abstract
PURPOSE Pilocytic (PA) and pilomyxoid astrocytomas (PMA) are related low-grade tumors which occur predominantly in children. PMAs have a predilection for a supratentorial location in younger children with worse outcomes. However, the two have similar imaging characteristics. Quantitative MR sequences such as dynamic susceptibility contrast (DSC) perfusion and diffusion (DWI) were assessed for significant differences between the two tumor types and locations. METHODS A retrospective search for MRI with DSC and DWI on pathology-proven cases of PMA and PA in children was performed. Tumors were manually segmented on anatomic images registered to rCBV, K2, and ADC maps. Tumors were categorized as PA or PMA, with subclassification of supratentorial and infratentorial locations. Mean values were obtained for tumor groups and locations compared with Student's t test for significant differences with post hoc correction for multiple comparisons. ROC analysis for significant t test values was performed. Histogram evaluation was also performed. RESULTS A total of 49 patients met inclusion criteria. This included 30 patients with infratentorial PA, 8 with supratentorial PA, 6 with supratentorial PMA, and 5 with infratentorial PMA. Mean analysis showed significantly increased rCBV for infratentorial PMA (2.39 ± 1.1) vs PA (1.39 ± 0.16, p = 0.0006). ROC analysis for infratentorial PA vs PMA yielded AUC = 0.87 (p < 0.001). Histogram analysis also demonstrated a higher ADC peak location for PMA (1.8 ± 0.2) vs PA (1.56 ± 0.28). CONCLUSION PMA has a significantly higher rCBV than PA in the infratentorial space. DSC perfusion and diffusion MR imaging may be helpful to distinguish between the two tumor types in this location.
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Affiliation(s)
- Chang Y Ho
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA.
| | - Nucharin Supakul
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Parth U Patel
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Vetana Seit
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Michael Groswald
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Jeremy Cardinal
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Chen Lin
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Stephen F Kralik
- Department of Radiology, Texas Children's Hospital, Houston, USA
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11
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Nilubol N, Yuan Z, Paciotti GF, Tamarkin L, Sanchez C, Gaskins K, Freedman EM, Cao S, Zhao J, Kingston DGI, Libutti SK, Kebebew E. Novel Dual-Action Targeted Nanomedicine in Mice With Metastatic Thyroid Cancer and Pancreatic Neuroendocrine Tumors. J Natl Cancer Inst 2019; 110:1019-1029. [PMID: 29481652 DOI: 10.1093/jnci/djy003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 01/08/2018] [Indexed: 01/01/2023] Open
Abstract
Background The advantages of nanomedicines include preferential delivery of the payload directly to tumor tissues. CYT-21625 is the novel, first-in-class gold nanomedicine designed to target tumor vasculature and cancer cells by specifically delivering recombinant human tumor necrosis factor alpha (rhTNF) and a paclitaxel prodrug. Methods We analyzed TNF receptor expression in publicly available gene expression profiling data and in thyroid tissue samples. Mice with metastatic FTC-133 and 8505C xenografts and the MEN1 conditional knock-out mice were treated weekly with CYT-21625 and gold nanoparticles with rhTNF only (CYT-6091); controls included mice treated with either paclitaxel or saline. In vivo luciferase activity was used to assess the effects on tumor growth. Computed tomography, magnetic resonance imaging, and 18F-Fludeoxyglucose positron emission tomography were used to study tumor selectivity in mice with insulin-secreting pancreatic neuroendocrine tumors (PNETs). All statistical tests were two-sided. Results Anaplastic thyroid cancer (ATC) expressed statistically significantly higher levels of TNF receptor superfamily 1A and 1B messenger RNA (n = 11) and protein (n = 6) than control samples (n = 45 and 13, respectively). Mice (n = 5-7 per group) with metastatic ATC (P < .009) and FTC-133 xenografts (P = .03 at week 3, but not statistically significant in week 4 owing to reduced sample size from death in non-CYT-21625 groups) treated with CYT-21625 had a statistically significantly lower tumor burden. Treatment with CYT-21625 resulted in loss of CD34 expression in intratumoral vasculature, decreased proliferating cell nuclear antigen, and increased cleaved caspase-3. Intratumoral vascular leakage occurred only in mice with PNET and ATC treated with CYT-6091 and CYT-21625. CYT-6091 and CYT-21625 preferentially deposited in PNETs and statistically significantly decreased serum insulin levels (n = 3 per group, P < .001). There were no toxicities observed in mice treated with CYT-21625. Conclusions CYT-21625 is effective in mice with PNETs and metastatic human thyroid cancer with no toxicities. Thus, CYT-21625 should be studied in patients with advanced PNETs and thyroid cancer.
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Affiliation(s)
- Naris Nilubol
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - ZiQiang Yuan
- Department of Surgery, Albert Einstein College of Medicine, Bronx, NY
| | | | | | - Carmen Sanchez
- Department of Surgery, Albert Einstein College of Medicine, Bronx, NY
| | - Kelli Gaskins
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Esther M Freedman
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Shugeng Cao
- Department of Chemistry and the Virginia Tech Center for Drug Discovery, Blacksburg, VA
| | - Jielu Zhao
- Department of Chemistry and the Virginia Tech Center for Drug Discovery, Blacksburg, VA
| | - David G I Kingston
- Department of Chemistry and the Virginia Tech Center for Drug Discovery, Blacksburg, VA
| | - Steven K Libutti
- Department of Surgery, Albert Einstein College of Medicine, Bronx, NY
| | - Electron Kebebew
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
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12
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Etherton MR, Wu O, Cougo P, Lorenzano S, Li H, Cloonan L, Bouts MJRJ, Lauer A, Arai K, Lo EH, Feske SK, Furie KL, Rost NS. Sex-specific differences in white matter microvascular integrity after ischaemic stroke. Stroke Vasc Neurol 2019; 4:198-205. [PMID: 32030203 PMCID: PMC6979874 DOI: 10.1136/svn-2019-000268] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/07/2019] [Accepted: 08/12/2019] [Indexed: 02/02/2023] Open
Abstract
Background and purpose Functional outcomes after ischaemic stroke are worse in women, despite adjusting for differences in comorbidities and treatment approaches. White matter microvascular integrity represents one risk factor for poor long-term functional outcomes after ischaemic stroke. The aim of the study is to characterise sex-specific differences in microvascular integrity in individuals with acute ischaemic stroke. Methods A retrospective analysis of subjects with acute ischaemic stroke and brain MRI with diffusion-weighted (DWI) and dynamic-susceptibility contrast-enhanced (DSC) perfusion-weighted imaging obtained within 9 hours of last known well was performed. In the hemisphere contralateral to the acute infarct, normal-appearing white matter (NAWM) microvascular integrity was measured using the K2 coefficient and apparent diffusion coefficient (ADC) values. Regression analyses for predictors of K2 coefficient, DWI volume and good outcome (90-day modified Rankin scale (mRS) score <2) were performed. Results 105 men and 79 women met inclusion criteria for analysis. Despite no difference in age, women had increased NAWM K2 coefficient (1027.4 vs 692.7×10–6/s; p=0.006). In women, atrial fibrillation (β=583.6; p=0.04) and increasing NAWM ADC (β=4.4; p=0.02) were associated with increased NAWM K2 coefficient. In multivariable regression analysis, the K2 coefficient was an independent predictor of DWI volume in women (β=0.007; p=0.01) but not men. Conclusions In women with acute ischaemic stroke, increased NAWM K2 coefficient is associated with increased infarct volume and chronic white matter structural integrity. Prospective studies investigating sex-specific differences in white matter microvascular integrity are needed.
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Affiliation(s)
- Mark R Etherton
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ona Wu
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Pedro Cougo
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Medical School of Ribeirao Preto, University of Sao Paulo, Sao Paulo, Brazil
| | - Svetlana Lorenzano
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Hua Li
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Lisa Cloonan
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Mark J R J Bouts
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Arne Lauer
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Neuroradiology, Goethe-Universitat Frankfurt am Main, Frankfurt, Germany
| | - Ken Arai
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Eng H Lo
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Steve K Feske
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Karen L Furie
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Natalia S Rost
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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13
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Manhard MK, Bilgic B, Liao C, Han S, Witzel T, Yen YF, Setsompop K. Accelerated whole-brain perfusion imaging using a simultaneous multislice spin-echo and gradient-echo sequence with joint virtual coil reconstruction. Magn Reson Med 2019; 82:973-983. [PMID: 31069861 PMCID: PMC6692914 DOI: 10.1002/mrm.27784] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/03/2019] [Accepted: 04/04/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE Dynamic susceptibility contrast imaging requires high temporal sampling, which poses limits on achievable spatial coverage and resolution. Additionally, more encoding-intensive multi-echo acquisitions for quantitative imaging are desired to mitigate contrast leakage effects, which further limits spatial encoding. We present an accelerated sequence that provides whole-brain coverage at an improved spatio-temporal resolution, to allow for dynamic quantitative R2 and R2 * mapping during contrast-enhanced imaging. METHODS A multi-echo spin and gradient-echo sequence was implemented with simultaneous multislice acquisition. Complementary k-space sampling between repetitions and joint virtual coil reconstruction were used along with a dynamic phase-matching technique to achieve high-quality reconstruction at 9-fold acceleration, which enabled 2 × 2 × 5 mm whole-brain imaging at TR of 1.5 to 1.7 seconds. The multi-echo images from this sequence were fit to achieve quantitative R2 and R2 * maps for each repetition, and subsequently used to find perfusion measures including cerebral blood flow and cerebral blood volume. RESULTS Images reconstructed using joint virtual coil show improved image quality and g-factor compared with conventional reconstruction methods, resulting in improved quantitative maps with a 9-fold acceleration factor and whole-brain coverage during the dynamic perfusion acquisition. CONCLUSION The method presented shows the advantage of using a joint virtual coil-GRAPPA reconstruction to allow for high acceleration factors while maintaining reliable image quality for quantitative perfusion mapping, with the potential to improve tumor diagnostics and monitoring.
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Affiliation(s)
- Mary Kate Manhard
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Berkin Bilgic
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Congyu Liao
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - SoHyun Han
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Thomas Witzel
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Yi-Fen Yen
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Kawin Setsompop
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
- Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, USA
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14
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Stokes AM, Semmineh NB, Nespodzany A, Bell LC, Quarles CC. Systematic assessment of multi-echo dynamic susceptibility contrast MRI using a digital reference object. Magn Reson Med 2019; 83:109-123. [PMID: 31400035 DOI: 10.1002/mrm.27914] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 06/14/2019] [Accepted: 07/02/2019] [Indexed: 11/07/2022]
Abstract
PURPOSE Brain tumor dynamic susceptibility contrast (DSC) MRI is adversely impacted by T1 and T 2 ∗ contrast agent leakage effects that result in inaccurate hemodynamic metrics. While multi-echo acquisitions remove T1 leakage effects, there is no consensus on the optimal set of acquisition parameters. Using a computational approach, we systematically evaluated a wide range of acquisition strategies to determine the optimal multi-echo DSC-MRI perfusion protocol. METHODS Using a population-based DSC-MRI digital reference object (DRO), we assessed the influence of preload dosing (no preload and full dose preload), field strength (1.5 and 3T), pulse sequence parameters (echo time, repetition time, and flip angle), and leakage correction on relative cerebral blood volume (rCBV) and flow (rCBF) accuracy. We also compared multi-echo DSC-MRI protocols with standard single-echo protocols. RESULTS Multi-echo DSC-MRI is highly consistent across all protocols, and multi-echo rCBV (with or without use of a preload dose) had higher accuracy than single-echo rCBV. Regression analysis showed that choice of repetition time and flip angle had minimal impact on multi-echo rCBV and rCBV, indicating the potential for significant flexibility in acquisition parameters. The echo time combination had minimal impact on rCBV, though longer echo times should be avoided, particularly at higher field strengths. Leakage correction improved rCBV accuracy in all cases. Multi-echo rCBF was less biased than single-echo rCBF, although rCBF accuracy was reduced overall relative to rCBV. CONCLUSIONS Multi-echo acquisitions were more robust than single-echo, essentially decoupling both repetition time and flip angle from rCBV accuracy. Multi-echo acquisitions obviate the need for preload dosing, although leakage correction to remove residual T 2 ∗ leakage effects remains compulsory for high rCBV accuracy.
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Affiliation(s)
- Ashley M Stokes
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
| | - Natenael B Semmineh
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
| | - Ashley Nespodzany
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
| | - Laura C Bell
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
| | - C Chad Quarles
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona
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15
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Ye ZM, Dai SJ, Yan FQ, Wang L, Fang J, Fu ZF, Wang YZ. DCE-MRI-Derived Volume Transfer Constant (K trans) and DWI Apparent Diffusion Coefficient as Predictive Markers of Short- and Long-Term Efficacy of Chemoradiotherapy in Patients With Esophageal Cancer. Technol Cancer Res Treat 2019; 17:1533034618765254. [PMID: 29642773 PMCID: PMC5900808 DOI: 10.1177/1533034618765254] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
This study aimed to evaluate both the short- and long-term efficacies of chemoradiotherapy in relation to the treatment of esophageal cancer . This was achieved through the use of dynamic contrast-enhanced magnetic resonance imaging–derived volume transfer constant and diffusion weighted imaging–derived apparent diffusion coefficient . Patients with esophageal cancer were assigned into the sensitive and resistant groups based on respective efficacies in chemoradiotherapy. Dynamic contrast-enhanced magnetic resonance imaging and diffusion weighted imaging were used to measure volume transfer constant and apparent diffusion coefficient, while computed tomography was used to calculate tumor size reduction rate. Pearson correlation analyses were conducted to analyze correlation between volume transfer constant, apparent diffusion coefficient, and the tumor size reduction rate. Receiver operating characteristic curve was constructed to analyze the short-term efficacy of volume transfer constant and apparent diffusion coefficient, while Kaplan-Meier curve was employed for survival rate analysis. Cox proportional hazard model was used for the risk factors for prognosis of patients with esophageal cancer. Our results indicated reduced levels of volume transfer constant, while increased levels were observed in ADCmin, ADCmean, and ADCmax following chemoradiotherapy. A negative correlation was determined between ADCmin, ADCmean, and ADCmax, as well as in the tumor size reduction rate prior to chemoradiotherapy, whereas a positive correlation was uncovered postchemoradiotherapy. Volume transfer constant was positively correlated with tumor size reduction rate both before and after chemoradiotherapy. The 5-year survival rate of patients with esophageal cancer having high ADCmin, ADCmean, and ADCmax and volume transfer constant before chemoradiotherapy was greater than those with respectively lower values. According to the Cox proportional hazard model, ADCmean, clinical stage, degree of differentiation, and tumor stage were all confirmed as being independent risk factors in regard to the prognosis of patients with EC. The findings of this study provide evidence suggesting that volume transfer constant and apparent diffusion coefficient as being tools allowing for the evaluation of both the short- and long-term efficacies of chemoradiotherapy esophageal cancer treatment.
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Affiliation(s)
- Zhi-Min Ye
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
| | - Shu-Jun Dai
- 2 Department of Intense Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Feng-Qin Yan
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
| | - Lei Wang
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
| | - Jun Fang
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
| | - Zhen-Fu Fu
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
| | - Yue-Zhen Wang
- 1 Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Repbulic of China
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16
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Shah NJ, da Silva NA, Yun SD. Perfusion weighted imaging using combined gradient/spin echo EPIK: Brain tumour applications in hybrid MR-PET. Hum Brain Mapp 2019; 42:4144-4154. [PMID: 30761676 DOI: 10.1002/hbm.24537] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 01/23/2019] [Accepted: 01/25/2019] [Indexed: 01/30/2023] Open
Abstract
Advanced perfusion-weighted imaging (PWI) methods that combine gradient echo (GE) and spin echo (SE) data are important tools for the study of brain tumours. In PWI, single-shot, EPI-based methods have been widely used due to their relatively high imaging speed. However, when used with increasing spatial resolution, single-shot EPI methods often show limitations in whole-brain coverage for multi-contrast applications. To overcome this limitation, this work employs a new version of EPI with keyhole (EPIK) to provide five echoes: two with GEs, two with mixed GESE and one with SE; the sequence is termed "GESE-EPIK." The performance of GESE-EPIK is evaluated against its nearest relative, EPI, in terms of the temporal signal-to-noise ratio (tSNR). Here, data from brain tumour patients were acquired using a hybrid 3T MR-BrainPET scanner. GESE-EPIK resulted in reduced susceptibility artefacts, shorter TEs for the five echoes and increased brain coverage when compared to EPI. Moreover, compared to EPI, EPIK achieved a comparable tSNR for the first and second echoes and significantly higher tSNR for other echoes. A new method to obtain multi-echo GE and SE data with shorter TEs and increased brain coverage is demonstrated. As proposed here, the workflow can be shortened and the integration of multimodal clinical MR-PET studies can be facilitated.
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Affiliation(s)
- N Jon Shah
- Institute of Neuroscience and Medicine - 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany.,Institute of Neuroscience-11, Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, Jülich, Germany.,Department of Neurology, Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany.,Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Nuno André da Silva
- Institute of Neuroscience and Medicine - 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Seong Dae Yun
- Institute of Neuroscience and Medicine - 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany
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17
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Wu J, Saindane AM, Zhong X, Qiu D. Simultaneous perfusion and permeability assessments using multiband multi-echo EPI (M2-EPI) in brain tumors. Magn Reson Med 2018; 81:1755-1768. [PMID: 30298595 DOI: 10.1002/mrm.27532] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 08/23/2018] [Accepted: 08/24/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE To study a multiband multi-echo EPI (M2-EPI) sequence for dynamic susceptibility contrast (DSC) perfusion imaging with leakage correction and vascular permeability measurements, and to evaluate the benefits of increased temporal resolution provided by this acquisition strategy on the accuracy of perfusion and permeability estimations. METHODS A novel M2-EPI sequence was developed, and a pharmacokinetic model accounting for contrast agent extravasation was used to produce perfusion maps and additional vascular permeability maps. The advantage of M2-EPI for DSC perfusion imaging was demonstrated in vivo in 5 patients with brain tumors, and numerical simulations were performed to evaluate the advantage of improved temporal resolution afforded by the technique. RESULTS In contrast to underestimations of cerebral blood volume (CBV) in tumors using the single-echo acquisition strategy, M2-EPI provided more plausible estimates of CBV. A quantitative evaluation showed higher estimated values of CBV and mean transit time in tumor tissues using M2-EPI (CBV: 3.08 ± 0.78 mL/100 g versus 1.56 ± 1.38 mL/100 g [P = .006]; mean transit time: 4.94 ± 1.17 seconds versus 1.83 ± 2.06 seconds [P = 0.033]). Numerical simulations showed that higher temporal resolution provided by M2-EPI was associated with more accurate estimates of cerebral blood flow, CBV, and permeability parameters. CONCLUSION The novel M2-EPI acquisition strategy for DSC imaging facilitates leakage-corrected perfusion measurements with additional permeability assessments and more accurate estimates of perfusion/permeability parameters, and may be used as a quantitative tool for the diagnosis, prognosis, and treatment monitoring of brain tumors.
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Affiliation(s)
- Junjie Wu
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Amit M Saindane
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Xiaodong Zhong
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.,MR R&D Collaborations, Siemens Healthcare, Atlanta, Georgia
| | - Deqiang Qiu
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.,Joint Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia
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18
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Hilario A, Hernandez-Lain A, Sepulveda JM, Lagares A, Perez-Nuñez A, Ramos A. Perfusion MRI grading diffuse gliomas: Impact of permeability parameters on molecular biomarkers and survival. Neurocirugia (Astur) 2018; 30:11-18. [PMID: 30143443 DOI: 10.1016/j.neucir.2018.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 05/04/2018] [Accepted: 06/01/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND AND PURPOSE Our objectives were: (1) compare dynamic susceptibility-weighted (DSC) and dynamic contrast-enhanced (DCE) permeability parameters, (2) evaluate diagnostic accuracy of DSC and DCE discriminating high- and low-grade tumors, (3) analyze relationship of permeability parameters with overall (OS) and progression-free survival (PFS) and (4) assess differences in high-grade tumors classified according to molecular biomarkers. MATERIALS AND METHODS 49 patients with histologically proved diffuse gliomas underwent DSC and DCE imaging. Parametric maps of cerebral blood volume (CBV), CBV-leakage corrected, volume transfer coefficient (Ktrans), fractional volume of the extravascular extracellular space (EES) (Ve), fractional blood plasma volume (Vp) and rate constant between EES and blood plasma (Kep) were calculated. High-grade gliomas were also classified according to isocitrate dehydrogenase (IDH), alpha-thalassemia/mental retardation syndrome X-linked (ATRX) and O6-methylguanine-dna-methyltransferase promoter methylation (MGMT) status. RESULTS There is correlation between parameters leakage, Ktrans and Vp. ROC curve analysis showed significance in both Ktrans and Ve for glioma grading. Threshold value of 0.075 for Ve generated the best combination of sensitivity (80%) and specificity (75%) in tumor gradation. Leakage was the only permeability parameter related to OS (P=0.006) and PFS (0.012); with prolonged survival for leakage values lower than 1.2. IDH-mutated high-grade tumors showed lower leakage and Ktrans values. High-grade tumors with loss of ATRX presented lower leakage and Vp values. CONCLUSIONS Both DSC and DCE permeability parameters serve as non-invasive method for glioma grading. Leakage was the unique permeability parameter related to survival and the best discriminating high-grade gliomas classified according to IDH and ATRX status.
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Affiliation(s)
- Amaya Hilario
- Department of Radiology, Neuroradiology Section, Universitary Hospital 12 de Octubre, Madrid, Spain.
| | | | | | - Alfonso Lagares
- Department of Neurosurgery, Universitary Hospital 12 de Octubre, Madrid, Spain
| | - Angel Perez-Nuñez
- Department of Neurosurgery, Universitary Hospital 12 de Octubre, Madrid, Spain
| | - Ana Ramos
- Department of Radiology, Neuroradiology Section, Universitary Hospital 12 de Octubre, Madrid, Spain
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19
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Lee B, Park JE, Bjørnerud A, Kim JH, Lee JY, Kim HS. Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma. AJNR Am J Neuroradiol 2018; 39:1415-1422. [PMID: 30026384 DOI: 10.3174/ajnr.a5732] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 05/01/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE A small subset of primary central nervous system lymphomas exhibits high cerebral blood volume, which is indistinguishable from that in glioblastoma on dynamic susceptibility contrast MR imaging. Our study aimed to test whether estimates of combined perfusion and vascular permeability metrics derived from DSC-MR imaging can improve the diagnostic performance in differentiating hypervascular primary central nervous system lymphoma from glioblastoma. MATERIALS AND METHODS A total of 119 patients (with 30 primary central nervous system lymphomas and 89 glioblastomas) exhibited hypervascular foci using the reference method of leakage-corrected CBV (reference-normalized CBV). An alternative postprocessing method used the tissue residue function to calculate vascular permeability (extraction fraction), leakage-corrected CBV, cerebral blood flow, and mean transit time. Parameters were compared using Mann-Whitney U tests, and the diagnostic performance to distinguish primary central nervous system lymphoma from glioblastoma was calculated using the area under the curve from the receiver operating characteristic curve and was cross-validated with bootstrapping. RESULTS Hypervascular primary central nervous system lymphoma showed similar leakage-corrected normalized CBV and leakage-corrected CBV compared with glioblastoma (P > .05); however, primary central nervous system lymphoma exhibited a significantly higher extraction fraction (P < .001) and CBF (P = .01) and shorter MTT (P < .001) than glioblastoma. The extraction fraction showed the highest diagnostic performance (the area under the receiver operating characteristic curve [AUC], 0.78; 95% confidence interval, 0.69-0.85) for distinguishing hypervascular primary central nervous system lymphoma from glioblastoma, with a significantly higher performance than both CBV (AUC, 0.53-0.59, largest P = .02) and CBF (AUC, 0.72) and MTT (AUC, 0.71). CONCLUSIONS Estimation of vascular permeability with DSC-MR imaging further characterizes hypervascular primary central nervous system lymphoma and improves diagnostic performance in glioblastoma differentiation.
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Affiliation(s)
- B Lee
- From the Department of Radiology (B.L.), Seoul Metropolitan Government-Seoul National University, Boramae Medical Center, Seoul, Korea
| | - J E Park
- Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - A Bjørnerud
- Department of Diagnostic Physics (A.B.), Rikshopitalet University Hospital, Oslo, Norway
| | - J H Kim
- NordicNeuroLab (J.H.K.), Seoul, Korea
| | - J Y Lee
- Department of Radiology (J.Y.L.), Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - H S Kim
- Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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20
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Liu HS, Chiang SW, Chung HW, Tsai PH, Hsu FT, Cho NY, Wang CY, Chou MC, Chen CY. Histogram analysis of T2*-based pharmacokinetic imaging in cerebral glioma grading. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018; 155:19-27. [PMID: 29512499 DOI: 10.1016/j.cmpb.2017.11.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 10/09/2017] [Accepted: 11/14/2017] [Indexed: 06/08/2023]
Abstract
BACKGROUND AND OBJECTIVE To investigate the feasibility of histogram analysis of the T2*-based permeability parameter volume transfer constant (Ktrans) for glioma grading and to explore the diagnostic performance of the histogram analysis of Ktrans and blood plasma volume (vp). METHODS We recruited 31 and 11 patients with high- and low-grade gliomas, respectively. The histogram parameters of Ktrans and vp, derived from the first-pass pharmacokinetic modeling based on the T2* dynamic susceptibility-weighted contrast-enhanced perfusion-weighted magnetic resonance imaging (T2* DSC-PW-MRI) from the entire tumor volume, were evaluated for differentiating glioma grades. RESULTS Histogram parameters of Ktrans and vp showed significant differences between high- and low-grade gliomas and exhibited significant correlations with tumor grades. The mean Ktrans derived from the T2* DSC-PW-MRI had the highest sensitivity and specificity for differentiating high-grade gliomas from low-grade gliomas compared with other histogram parameters of Ktrans and vp. CONCLUSIONS Histogram analysis of T2*-based pharmacokinetic imaging is useful for cerebral glioma grading. The histogram parameters of the entire tumor Ktrans measurement can provide increased accuracy with additional information regarding microvascular permeability changes for identifying high-grade brain tumors.
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Affiliation(s)
- Hua-Shan Liu
- School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Shih-Wei Chiang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Hsiao-Wen Chung
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
| | - Ping-Huei Tsai
- Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Fei-Ting Hsu
- Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Nai-Yu Cho
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chao-Ying Wang
- Department and Graduate Institute of Biology and Anatomy, National Defense Medical Center, Taipei, Taiwan
| | - Ming-Chung Chou
- Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Cheng-Yu Chen
- Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Radiogenomic Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
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21
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Bouts MJ, Tiebosch IA, Rudrapatna US, van der Toorn A, Wu O, Dijkhuizen RM. Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms. J Cereb Blood Flow Metab 2017; 37:3065-3076. [PMID: 28155583 PMCID: PMC5536810 DOI: 10.1177/0271678x16683692] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Estimation of hemorrhagic transformation (HT) risk is crucial for treatment decision-making after acute ischemic stroke. We aimed to determine the accuracy of multiparametric MRI-based predictive algorithms in calculating probability of HT after stroke. Spontaneously, hypertensive rats were subjected to embolic stroke and, after 3 h treated with tissue plasminogen activator (Group I: n = 6) or vehicle (Group II: n = 7). Brain MRI measurements of T2, T2*, diffusion, perfusion, and blood-brain barrier permeability were obtained at 2, 24, and 168 h post-stroke. Generalized linear model and random forest (RF) predictive algorithms were developed to calculate the probability of HT and infarction from acute MRI data. Validation against seven-day outcome on MRI and histology revealed that highest accuracy of hemorrhage prediction was achieved with a RF-based model that included spatial brain features (Group I: area under the receiver-operating characteristic curve (AUC) = 0.85 ± 0.14; Group II: AUC = 0.89 ± 0.09), with significant improvement over perfusion- or permeability-based thresholding methods. However, overlap between predicted and actual tissue outcome was significantly lower for hemorrhage prediction models (maximum Dice's Similarity Index (DSI) = 0.20 ± 0.06) than for infarct prediction models (maximum DSI = 0.81 ± 0.06). Multiparametric MRI-based predictive algorithms enable early identification of post-ischemic tissue at risk of HT and may contribute to improved treatment decision-making after acute ischemic stroke.
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Affiliation(s)
- Mark Jrj Bouts
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.,2 Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.,3 Leiden Institute for Brain and Cognition, Institute of Psychology, Leiden University, Leiden, The Netherlands.,4 Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ivo Acw Tiebosch
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Umesh S Rudrapatna
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annette van der Toorn
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ona Wu
- 2 Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Rick M Dijkhuizen
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
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22
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Hainsworth AH, Allan SM, Boltze J, Cunningham C, Farris C, Head E, Ihara M, Isaacs JD, Kalaria RN, Lesnik Oberstein SAMJ, Moss MB, Nitzsche B, Rosenberg GA, Rutten JW, Salkovic-Petrisic M, Troen AM. Translational models for vascular cognitive impairment: a review including larger species. BMC Med 2017; 15:16. [PMID: 28118831 PMCID: PMC5264492 DOI: 10.1186/s12916-017-0793-9] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 01/12/2017] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Disease models are useful for prospective studies of pathology, identification of molecular and cellular mechanisms, pre-clinical testing of interventions, and validation of clinical biomarkers. Here, we review animal models relevant to vascular cognitive impairment (VCI). A synopsis of each model was initially presented by expert practitioners. Synopses were refined by the authors, and subsequently by the scientific committee of a recent conference (International Conference on Vascular Dementia 2015). Only peer-reviewed sources were cited. METHODS We included models that mimic VCI-related brain lesions (white matter hypoperfusion injury, focal ischaemia, cerebral amyloid angiopathy) or reproduce VCI risk factors (old age, hypertension, hyperhomocysteinemia, high-salt/high-fat diet) or reproduce genetic causes of VCI (CADASIL-causing Notch3 mutations). CONCLUSIONS We concluded that (1) translational models may reflect a VCI-relevant pathological process, while not fully replicating a human disease spectrum; (2) rodent models of VCI are limited by paucity of white matter; and (3) further translational models, and improved cognitive testing instruments, are required.
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Affiliation(s)
- Atticus H Hainsworth
- Clinical Neurosciences (J-0B) Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, UK. .,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK.
| | - Stuart M Allan
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK
| | - Johannes Boltze
- Department of Translational Medicine and Cell Technology, University of Lübeck, Lübeck, Germany.,Neurovascular Research Laboratory, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Catriona Cunningham
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK
| | - Chad Farris
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Elizabeth Head
- Department of Pharmacology & Nutritional Sciences, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Masafumi Ihara
- Department of Stroke and Cerebrovascular Diseases, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Jeremy D Isaacs
- Clinical Neurosciences (J-0B) Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, UK.,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Raj N Kalaria
- Institute of Neuroscience, University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, UK
| | | | - Mark B Moss
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Björn Nitzsche
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.,Clinic for Nuclear Medicine, University of Leipzig, Leipzig, Germany.,Institute for Anatomy, Faculty of Veterinary Medicine, University of Leipzig, Leipzig, Germany
| | - Gary A Rosenberg
- Department of Neurology, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA
| | - Julie W Rutten
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Melita Salkovic-Petrisic
- Department of Pharmacology, Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Aron M Troen
- Institute of Biochemistry Food and Nutrition Science, Hebrew University of Jerusalem, Rehovot, Israel
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