Literature DB >> 10318717

Clinical applications of intracranial perfusion MR imaging.

M H Lev1, B R Rosen.   

Abstract

Dynamic susceptibility MR perfusion imaging of the brain offers clinically relevant physiological data not obtainable by conventional MR imaging. As new treatments continue to be developed for stroke, neoplasm, dementia, psychiatric illness, headache, and trauma, the potential clinical applications of perfusion MR imaging in the diagnosis, triage, and therapeutic monitoring of these diseases will increase. MR perfusion techniques are likely to be at least as sensitive and specific as radionuclide-based techniques, and offer the added advantage of higher intrinsic resolution, convenient coregistration with conventional MR imaging, as well as, time and cost-effective imaging in patients for whom a routine MR imaging is obtained.

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Mesh:

Year:  1999        PMID: 10318717

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  51 in total

1.  Gliomatosis cerebri has normal relative blood volume: really?! Who cares? Should you?

Authors:  Michael H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

2.  Stripe-like increase of rCBV beyond the visible border of glioblastomas: site of tumor infiltration growing after neurosurgery.

Authors:  Stella Blasel; Kea Franz; Hanns Ackermann; Stefan Weidauer; Friedhelm Zanella; Elke Hattingen
Journal:  J Neurooncol       Date:  2010-10-07       Impact factor: 4.130

3.  Dynamic susceptibility contrast-enhanced perfusion and conventional MR imaging findings for adult patients with cerebral primitive neuroectodermal tumors.

Authors:  Meng Law; Khuram Kazmi; Stephan Wetzel; Edwin Wang; Codrin Iacob; David Zagzag; John G Golfinos; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

Review 4.  The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions.

Authors:  Carlos Leiva-Salinas; James M Provenzale; Kohsuke Kudo; Makoto Sasaki; Max Wintermark
Journal:  Neuroradiology       Date:  2012-04-10       Impact factor: 2.804

5.  Evaluation of diagnostic accuracy in CT perfusion analysis in moyamoya disease.

Authors:  Takashi Ohno; Kohsuke Kudo; Greg Zaharchuk; Noriyuki Fujima; Hiroki Shirato
Journal:  Jpn J Radiol       Date:  2015-11-09       Impact factor: 2.374

Review 6.  Advances in the assessment of childhood brain tumors and treatment-related sequelae.

Authors:  Katherine E Warren
Journal:  Curr Neurol Neurosci Rep       Date:  2005-03       Impact factor: 5.081

Review 7.  Clinical neuroimaging using arterial spin-labeled perfusion magnetic resonance imaging.

Authors:  Ronald L Wolf; John A Detre
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

8.  Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.

Authors:  R Jain; S K Ellika; L Scarpace; L R Schultz; J P Rock; J Gutierrez; S C Patel; J Ewing; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

9.  Perfusion weighted magnetic resonance imaging to distinguish the recurrence of metastatic brain tumors from radiation necrosis after stereotactic radiosurgery.

Authors:  Koichi Mitsuya; Yoko Nakasu; Satoshi Horiguchi; Hideyuki Harada; Tetsuo Nishimura; Etsuro Bando; Hiroto Okawa; Yoshihiro Furukawa; Tatsuo Hirai; Masahiro Endo
Journal:  J Neurooncol       Date:  2010-01-08       Impact factor: 4.130

10.  Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Meng Law; Robert J Young; James S Babb; Nicole Peccerelli; Sophie Chheang; Michael L Gruber; Douglas C Miller; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  Radiology       Date:  2008-03-18       Impact factor: 11.105

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