ASNR 54rd Annual Meeting ASNR 54rd Annual Meeting

Slides:



Advertisements
Similar presentations
Y. Duan et al. European Journal of Radiology (2011) Changes in cerebral hemodynamics after carotid stenting of symptomatic carotid artery.
Advertisements

Guidelines for a standardized MRI protocol for MS:
DIAGNOSTIC ROLE OF STATIC AND DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING IN THE EVALUATION OF SOFT TISSUE TUMOURS Abstract No. IRIA
Perfusion-Based fMRI Thomas T. Liu Center for Functional MRI University of California San Diego May 19, 2007.
Mungunkhuyag Majigsuren1, Takashi Abe1, Masafumi Harada1
Palisades and tumors. Lung metastatic tumor in brain.
Julio Arevalo Perez 1, Kyung K. Peck 2, Robert J. Young 1, Andrei I Holodny 1, Sasan Karimi 1 John K. Lyo 1 1 Department of Radiology 2 Department of Medical.
Comparison of MRI Perfusion and PET-CT in Differentiating Brain Tumor Progression from Radiation Injury after Cranial Irradiation T. Jonathan Yang, M.D.
A randomized, placebo-controlled pilot trial of armodafinil for fatigue in patients with gliomas undergoing radiotherapy Presented By Eudocia Lee at 2014.
Idoia Corcuera-Solano, Gerard Reddy, Bradley Delman, Reade De Leacy, Dan Rettmann, Lawrence N Tanenbaum EP
THE CORRELATIONS OF 3D PSEUDO-CONTINUOUS ARTERIAL SPIN LABELING AND DYNAMIC SUSCEPTIBILITY CONTRAST PERFUSION MRI IN BRAIN TUMORS Delgerdalai Khashbat,
ASNR 53rd Annual Meeting – Poster EP-39, Control # 1239
Differentiation of Peri-Ictal Pseudoprogression from Tumor Recurrence in a Patient with Treated Glioma: Value of Diffusion Weighted and Perfusion Imaging.
QUANTITATIVE MRI OF GLIOBLASTOMA RESPONSE Bruce Rosen, MD, PhD Athinoula A. Martinos Center for Biomedical Imaging, MGH. Future Plans/Upcoming Trials Reproducibility.
Department of Radiology and Imaging Sciences Division of Neuroradiology University School of Medicine.
ROLE OF PIRACETAM IN POST- CONCUSSION SYNDROME A PROSPECTIVE RANDOMIZED STUDY Deepak Agrawal, K Naveen*, CS Bal*, AK Mahapatra Departments of Neurosurgery*
© NlH National Center for Image Guided Therapy, 2012 ASNR 2012 Imaging Genomic mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme.
ASSESSMENT OF INTERNAL BRUISE VOLUME OF SELECTED FRUITS USING MR IMAGING Ta-Te Lin, Yu-Che Cheng, Jen-Fang Yu Department of Bio-Industrial Mechatronics.
ASNR 2012 Methodology for Imaging Genomics of Gliomas
Genomic mapping and survival prediction in GBM: Molecular sub-classification as an adjunct to hemodynamic imaging biomarkers - A TCGA Glioma Phenotype.
Correlation and fusion of perfusion and spectroscopic MR imaging for the characterisation of brain tumors A. Förschler 1), K. Vester 1), G. Peters 2),
Perfusion MRI in GSK Study
T.T. Liu, fBIRN AHM 2006 Status of Arterial Spin Labeling for the fBIRN Thomas T. Liu UCSD Center for Functional MRI.
An Investigation of Perfusion in Stroke Survivors Kathleen Brumm 1, Thomas Liu 2, Joanna Perthen 2, Frank Haist 2, Tracy Love 1, 2, 3 1 SDSU/ UCSD Joint.
Correlation of Leptomeningeal Disease on MRI Between the Brain and Spine in Patients Presenting to a Tertiary Referral Center Poster #: EP-47 Control #:
ICNCT-16, June 2014, Helsinki Glioma heterogeneity and the L-Amino acid transporter-1 (LAT1): A first step to stratified BPA-based BNCT? D. Ngoga 1 ; C.
SYMPOSIUM NEURORADIOLOGICUM BOLOGNA 2010
University of Michigan Department of Radiology Role of MR Spectroscopy in Differentiating Radiation Necrosis from Tumor Recurrence. Effects of radiation.
Azienda Ospedaliero-Universitaria, Arcispedale S. Anna,
Metabolic mapping of human gliomas Assessment with simultaneous MR/PET imaging for preoperative „hot-spot“ imaging of suspected anaplastic gliomas S. Bisdas.
Certainty of Stroke Diagnosis: Incremental Benefit with CT Perfusion over NC-CT & CTA Richard I. Aviv, Julia Hopyan, Anthony Ciarallo, et al (including.
MR SPECTROCOPY AND MRI TO MEASURE TREATMENT OF NEURODEGENERATION MICHAEL W. WEINER Professor of Radiology, Medicine, Psychiatry, and Neurology, U.C.S.F.
CEREBRAL BLOOD FLOW QUANTIFICATION FOR ARTERIAL SPIN LABELED PERFUSION MRI AT 3 TESLA 4° Congresso Annuale dell’Italian Chapter dell’ISMRM Perugia,
S. CONDETTE-AULIAC 1, A. BOULIN 1, O. COSKUN 1, L. BOZEC-LE MOAL 2, S. ALDEA 3, S.GUIEU 1, G. RODESCH 1. 1 Neuroradiology department, 2 Oncology department,
INFLUENCE OF FRACTIONAL ANISOTROPY THRESHOLD FOR TRACT BASED DIFFUSION TENSOR ANALYSIS OF UNCINATE FASCICLES IN ALZHEIMER DISEASE Toshiaki Taoka, Toshiaki.
Intratumoral topography of CNS gliomas revealed by diffusion tensor imaging: correlations with tumor volume and grade A. Jakab 1, P. Molnár 2, M. Emri.
Arterial spin labeling MR imaging of head and neck squamous cell carcinoma Abdel Razek A Department of Radiology Mansoura Faculty of medicine. Mansoura.
Differentiation between Primary Central Nervous System Lymphoma and Glioblastoma on 3T-MR Imaging: Multivariate Analysis M. Kitajima 1, T. Hirai 1, Y.
L Castelletti, M Bendini, L Saitta, L Bonzano, F Di Paola, L Castellan
Abstract Control Number
Correlation of tumor blood volume and apparent diffusion coefficient values with the prognostic parameters of head and neck squamous cell carcinoma Abdel.
P53 PROTEIN EXPRESSION AND ITS CORRELATION WITH CELL PROLIFERATION IN COLORECTAL CANCER Dear proffesors, dear collegues please let me introduce you.
Discussion & Conclusion Predictives of Meningioma Grading
Spectroscopy Voxel-wise
Atypical Teratoid Rhabdoid Tumor of the Third Cranial Nerve (AT/RT)
MR images analysis of glioma
MR Perfusion and Diffusion Values in Gliomas
Ali Batouli1 Dennis Monks1 Sobia Mirza1 Michael Goldberg1
M. Frascaroli, L. Moro. , L. Sibilla, M. Baldi, I. Carne. , D
Neuroradiology Department Bellaria Hospital Bologna
Icahn School of Medicine Mount Sinai Hospital
Diffusion-Weighted Imaging in Meningioma: Prediction of Tumor Grade and Association with Histopathological Parameters  Alexey Surov, Sebastian Gottschling,
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Workflow of the 2 presented analysis approaches: the reference Weisskoff method and the alternative tissue residue function–based method. Workflow of the.
Botond K. Szabó * Peter Aspelin ** Maria Kristoffersen-Wiberg **
Neuropathology at Southmead
Source dynamic MR image (A), signal intensity time curves (S) (B), and color-coded perfusion map (overlaid on the corresponding FLAIR image) (C) of a male.
Fig. 4 DMI visualizes the Warburg effect in a patient with GBM after oral [6,6′-2H2]glucose intake. DMI visualizes the Warburg effect in a patient with.
A 76-year-old man presenting with acute right-sided symptoms.
A 74-year-old man who presented to the emergency department after a fall with left-sided weakness. A 74-year-old man who presented to the emergency department.
Bar graph of ADC values (s/mm2) for tumor, contralateral normal tissue, ipsilateral normal tissue, and edema for the group of 15 patients with high-grade.
Linear regression analyses of the correlation of the BBBP factors (Ktrans and Ve) with CBF using all brain regions for patients with SLE. Patients with.
Fig. 1 Experimental design.
CT scans and data analysis obtained from patient 1
A 55-year-old woman (the same patient as in Fig 1) with RCVS complicated by ischemic infarcts. A 55-year-old woman (the same patient as in Fig 1) with.
Brain MR imaging on DOL 2 in patient 5 while he was treated with induced hypothermia; comparison between the perfusion map and images obtained from conventional.
Brain MR imaging on DOL 2 in patient 8, while he was treated with induced hypothermia; comparison between the perfusion map and images obtained from conventional.
Axial images from the brain of a 59-year-old woman with mixed features of response, including areas of treatment-related changes and TP. Contrast-enhanced.
Left, T1 spin-echo image at 1
Same section position with spin-echo T1-weighted sequences at 1
Presentation transcript:

ASNR 54rd Annual Meeting ASNR 54rd Annual Meeting Arterial Spin Labeling Perfusion in Differentiation of Primary and Secondary Glioblastomas A. Tonoyan, T. Ovcharenko, L. Shishkina, I. Pronin. Burdenko Neurosurgery Institute, Moscow, Russia

The study was funded by the Disclosure ASNR 54rd Annual Meeting The study was funded by the RSF (РНФ) grant № 14-15-00197

Brain gliomas Brain gliomas Brain GBMs Treatment protocols and prognosis in gliomas depend on: Glioma malignancy grade Glioma proliferative activity Genetic alterations … Brain GBMs Most frequent malignant primary brain tumor Proliferative activity (Ki-67/MIB-1 LI) Genetic alterations (IDH, etc) Louis DN, Perry A, Burger P, et al. International Society of Neuropathology-Haarlem Consensus Guidelines for Nervous System Tumor Classification and Grading. Brain Pathology 2014;24(5):429-35

Brain GBMs Primary GBM IDH1+ Secondary GBM IDH1- Primary GBMs Secondary GBMs IDH1 - IDH1 + All solid tumor demonstrates contrast enhancement Tumor solid regions without any contrast enhancement are present Poor prognosis Better prognosis

Perfusion in gliomas Perfusion (CBF, CBV) Grade I-II  Grade III  Grade IV Liu X et al. 2011; Prager AJ et al. 2015; Falk A et al. 2014

Purpose Purpose: Тo assess: the efficacy of CBF (ASL-perfusion) in differentiation of primary (IDH1-) and secondary (IDH1+) GBMs. the correlation between CBF (ASL-perfusion) and Ki-67/MIB-1 LI of GBMs. to compare Ki-67/MIB-1 LI between primary (IDH1-) and secondary (IDH1+) GBMs.

Methods and Materials: 37 patients with newly diagnosed brain GBMs (without any treatment before). 14 Secondary GBMs (IDH1+) 23 Primary GBMs (IDH1-) Diagnosis confirmation – tumor removal in all patients.

Methods and Materials 3T MR-scanner T2, T2-FLAIR, T1, DWI, T1+Gd, ASL. ASL perfusion parameters: TR = 4639 ms TE = 9,8 ms NEX = 3 Slice thickness = 4 mm FOV = 240 mm Matrix = 518x518 Post-labeling delay 1525 ms

Methods and Materials n-TBF (normalization) = TBF/CBF TBF – tumor blood flow mean-TBF n-TBF (normalization) = TBF/CBF No necrosis in ROIs ROIs were delineated in accordance with T2, T2-FLAIR, T1 and T1+Gd max-TBF CBF in contralateral white matter

Methods and Materials Statistical analysis TBF-max, n-TBF-max TBF-mean, n-TBF-mean Comparison of Ki-67/MIB-1 Li between IDH1+ and IDH1- GBMs Mann-Whitney test (p < 0,05) Spearman correlation between IDH1+ and IDH1- GBMs correlation with Ki-67/MIB-1 LI of GBMs

Results No statistically significant differences of TBF-max, TBF-mean, n-TBF-max, n-TBF-mean values between IDH1- and IDH1+ GBMs.

Results CBF correlation with Ki-67 LI in GBMs (Spearman correlaion) TBF-max & Ki-67/MIB-1 LI n-TBF-max & Ki-67/MIB-1 LI TBF-mean & n-TBF-mean & P value of correlation p = 0,44 p = 0,72 p = 0,64 p = 0,70 Ki-67 LI differences between IDH+ and IDH- GBMs ± 14,7 ± 6,3 P>0,05

Conclusion In spite of the fact that there is a number of studies presenting a significant increase of perfusion metrics (CBV and CBF) of gliomas with higher tumor malignancy, according to our results, there are no significant differences of CBF (ASL) between «IDH1+» and «IDH1-» GBMs no significant correlation between CBF (ASL) and KI-67/MIB-1 LI in GBMs no significant differences of Ki-67/MIB-1 LI between IDH- and IDH+ GBMs

Burdenko Neurosurgery Institute Moscow, Russia Thank you very much! E-mail: atonoyan@nsi.ru