Literature DB >> 23297337

Cerebrovascular occlusive disease: quantitative cerebral blood flow using dynamic susceptibility contrast mr imaging correlates with quantitative H2[15O] PET.

Parmede Vakil1, John J Lee, Jessy J Mouannes-Srour, Colin P Derdeyn, Timothy J Carroll.   

Abstract

PURPOSE: To compare quantitative values of cerebral blood flow (CBF) derived from dynamic susceptibility contrast (DSC) magnetic resonance (MR) imaging with reference standard positron emission tomography (PET) in patients with confirmed cerebrovascular occlusive disease.
MATERIALS AND METHODS: Local institutional review board approval and informed consent were obtained for a prospective study of 18 patients (six men, 12 women; age range, 28-71 years; mean age, 45 years ± 10.4 [standard deviation]) with angiographically confirmed Moyamoya (n = 8) or internal carotid artery occlusions (n = 10). DSC MR images and oxygen 15-labeled water (H(2)[(15)O]) PET images were acquired on the same day. DSC images were postprocessed to yield parametric images of CBF (in mL/100 g/min), coregistered, and analyzed using grid-based regions of interest. Mean values of CBF in each region of interest from MR imaging and PET data sets were compared. Correlations for each patient were determined and overall agreement between pooled MR imaging and PET CBF was reported using linear regression analysis and Bland-Altman plots.
RESULTS: Strong correlations (r(2) ≥ 0.55) were found between MR imaging and PET CBF values in all patients. Use of the bookend approach was found to underestimate CBF predictably across the patient cohort (mean slope, 0.82; standard deviation, 0.18; slope of aggregated data, 0.75). This allowed for a simple rescaling of MR imaging values producing strong agreement with PET values in the aggregated data (r(2) = 0.66; slope = 1.00; intercept = 0.00).
CONCLUSION: The data show that the bookend MR imaging technique produces similar results for quantitative CBF between DSC MR imaging and H(2)[(15)O] PET. Although MR-derived CBF underestimated PET-derived CBF, the patient-to-patient variability in the slopes of the linear MR and PET relationships was significantly smaller than a competing quantitation technique. As a result, the bookend technique appears to more predictably measure quantitative CBF in a clinical setting.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23297337      PMCID: PMC3579175          DOI: 10.1148/radiol.12120756

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  33 in total

1.  Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition.

Authors:  F Calamante; D G Gadian; A Connelly
Journal:  Magn Reson Med       Date:  2000-09       Impact factor: 4.668

2.  Guidelines and recommendations for perfusion imaging in cerebral ischemia: A scientific statement for healthcare professionals by the writing group on perfusion imaging, from the Council on Cardiovascular Radiology of the American Heart Association.

Authors:  Richard E Latchaw; Howard Yonas; George J Hunter; William T C Yuh; Toshihiro Ueda; A Gregory Sorensen; Jeffrey L Sunshine; Jose Biller; Lawrence Wechsler; Randall Higashida; George Hademenos
Journal:  Stroke       Date:  2003-04       Impact factor: 7.914

3.  Automatic calculation of the arterial input function for cerebral perfusion imaging with MR imaging.

Authors:  Timothy J Carroll; Howard A Rowley; Victor M Haughton
Journal:  Radiology       Date:  2003-03-27       Impact factor: 11.105

4.  Correction for arterial-tissue delay and dispersion in absolute quantitative cerebral perfusion DSC MR imaging.

Authors:  Jessy J Mouannes-Srour; Wanyong Shin; Sameer A Ansari; Michael C Hurley; Parmede Vakil; Bernard R Bendok; John L Lee; Colin P Derdeyn; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2011-12-12       Impact factor: 4.668

5.  Decreased frontal lobe gray matter perfusion in cognitively impaired patients with secondary-progressive multiple sclerosis detected by the bookend technique.

Authors:  R I Aviv; P L Francis; R Tenenbein; P O'Connor; L Zhang; A Eilaghi; L Lee; T J Carroll; J Mouannes-Srour; A Feinstein
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

6.  Quantification of cerebral perfusion using the "bookend technique": an evaluation in CNS tumors.

Authors:  Timothy J Carroll; Sandra Horowitz; Wanyong Shin; Jessy Mouannes; Rahul Sawlani; Saad Ali; Jeffrey Raizer; Stephen Futterer
Journal:  Magn Reson Imaging       Date:  2008-06-05       Impact factor: 2.546

7.  Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study.

Authors:  W Lin; A Celik; C Derdeyn; H An; Y Lee; T Videen; L Ostergaard; W J Powers
Journal:  J Magn Reson Imaging       Date:  2001-12       Impact factor: 4.813

8.  Glioblastoma: a method for predicting response to antiangiogenic chemotherapy by using MR perfusion imaging--pilot study.

Authors:  Rahul N Sawlani; Jeffrey Raizer; Sandra W Horowitz; Wanyong Shin; Sean A Grimm; James P Chandler; Robert Levy; Christopher Getch; Timothy J Carroll
Journal:  Radiology       Date:  2010-05       Impact factor: 11.105

9.  Thresholds of focal cerebral ischemia in awake monkeys.

Authors:  T H Jones; R B Morawetz; R M Crowell; F W Marcoux; S J FitzGibbon; U DeGirolami; R G Ojemann
Journal:  J Neurosurg       Date:  1981-06       Impact factor: 5.115

10.  Measurement of cerebral blood flow in chronic carotid occlusive disease: comparison of dynamic susceptibility contrast perfusion MR imaging with positron emission tomography.

Authors:  Pratik Mukherjee; Hyunseon Christine Kang; Tom O Videen; Robert C McKinstry; William J Powers; Colin P Derdeyn
Journal:  AJNR Am J Neuroradiol       Date:  2003-05       Impact factor: 3.825

View more
  13 in total

1.  Evaluation of 4D vascular flow and tissue perfusion in cerebral arteriovenous malformations: influence of Spetzler-Martin grade, clinical presentation, and AVM risk factors.

Authors:  C Wu; S A Ansari; A R Honarmand; P Vakil; M C Hurley; B R Bendok; J Carr; T J Carroll; M Markl
Journal:  AJNR Am J Neuroradiol       Date:  2015-02-26       Impact factor: 3.825

2.  Absolute quantification of perfusion by dynamic susceptibility contrast MRI using Bookend and VASO steady-state CBV calibration: a comparison with pseudo-continuous ASL.

Authors:  Emelie Lindgren; Ronnie Wirestam; Karin Markenroth Bloch; André Ahlgren; Matthias J P van Osch; Danielle van Westen; Yulia Surova; Freddy Ståhlberg; Linda Knutsson
Journal:  MAGMA       Date:  2014-02-26       Impact factor: 2.310

3.  Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study.

Authors:  Joseph Hart; Vera Novak; Charles Saunders; Pierre A Gremaud
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

4.  Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with 15O-Gas PET and Singular Value Decomposition.

Authors:  S Hara; Y Tanaka; S Hayashi; M Inaji; T Maehara; M Hori; S Aoki; K Ishii; T Nariai
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-10       Impact factor: 3.825

5.  Regional Frontal Perfusion Deficits in Relapsing-Remitting Multiple Sclerosis with Cognitive Decline.

Authors:  R Vitorino; S-P Hojjat; C G Cantrell; A Feinstein; L Zhang; L Lee; P O'Connor; T J Carroll; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-19       Impact factor: 3.825

6.  Comparison of Quantitative Cerebral Blood Flow Measurements Performed by Bookend Dynamic Susceptibility Contrast and Arterial Spin-Labeling MRI in Relapsing-Remitting Multiple Sclerosis.

Authors:  R M D'Ortenzio; S P Hojjat; R Vitorino; C G Cantrell; L Lee; A Feinstein; P O'Connor; T J Carroll; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-29       Impact factor: 3.825

7.  Perfusion reduction in the absence of structural differences in cognitively impaired versus unimpaired RRMS patients.

Authors:  Seyed-Parsa Hojjat; Charles Grady Cantrell; Timothy J Carroll; Rita Vitorino; Anthony Feinstein; Lying Zhang; Sean P Symons; Sarah A Morrow; Liesly Lee; Paul O'Connor; Richard I Aviv
Journal:  Mult Scler       Date:  2016-02-04       Impact factor: 6.312

8.  Absolute quantitative MR perfusion and comparison against stable-isotope microspheres.

Authors:  Yong I Jeong; Gregory A Christoforidis; Niloufar Saadat; Keigo Kawaji; Charles G Cantrell; Steven Roth; Marek Niekrasz; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2019-02-08       Impact factor: 4.668

9.  Spatial Correlation of Pathology and Perfusion Changes within the Cortex and White Matter in Multiple Sclerosis.

Authors:  A D Mulholland; R Vitorino; S-P Hojjat; A Y Ma; L Zhang; L Lee; T J Carroll; C G Cantrell; C R Figley; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2017-11-02       Impact factor: 3.825

10.  Blood tracer kinetics in the arterial tree.

Authors:  Elias Kellner; Peter Gall; Matthias Günther; Marco Reisert; Irina Mader; Roman Fleysher; Valerij G Kiselev
Journal:  PLoS One       Date:  2014-10-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.