Literature DB >> 14768726

Perfusion MR imaging: basic principles and clinical applications.

Soonmee Cha1.   

Abstract

Dynamic contrast-enhanced perfusion MR imaging provides hemodynamic information that complements traditional structural imaging and is increasingly used in clinical practice to diagnose, manage, and understand brain tumors. Relative cerebral blood volume maps derived from perfusion MR imaging data provide quantifiable estimates of regional blood volume that can be used to grade gliomas, differentiate different brain tumor types, and distinguish tumors from non-neoplastic lesions. There are a few minor limitations of the dynamic contrastenhanced perfusion MR imaging technique-susceptibility artifacts, relative rather than absolute quantification of cerebral blood volume, and the inaccurate estimation of cerebral blood volume in patients in whom the blood-brain barrier has been severely disrupted or destroyed. Despite the minor potential pitfalls of the technique, inclusion of perfusion MR imaging as part of a routine evaluation of brain tumors can lead to improved diagnostic accuracy, understanding of tumor pathophysiology, and detection and quantification of tumor angiogenesis. With further work, perfusion MR imaging could be used to assess existing and novel cancer therapies that target blood vessels.

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Year:  2003        PMID: 14768726     DOI: 10.1016/s1064-9689(03)00066-7

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  20 in total

1.  Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Z Xing; R X You; J Li; Y Liu; D R Cao
Journal:  Clin Neuroradiol       Date:  2013-08-31       Impact factor: 3.649

Review 2.  Measurement of cerebral perfusion territories using arterial spin labelling.

Authors:  Fernando F Paiva; Alberto Tannús; Afonso C Silva
Journal:  NMR Biomed       Date:  2007-11       Impact factor: 4.044

Review 3.  MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.

Authors:  M Essig; N Anzalone; S E Combs; À Dörfler; S-K Lee; P Picozzi; A Rovira; M Weller; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

4.  Moving Toward a Consensus DSC-MRI Protocol: Validation of a Low-Flip Angle Single-Dose Option as a Reference Standard for Brain Tumors.

Authors:  K M Schmainda; M A Prah; L S Hu; C C Quarles; N Semmineh; S D Rand; J M Connelly; B Anderies; Y Zhou; Y Liu; B Logan; A Stokes; G Baird; J L Boxerman
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

Review 5.  Biology, genetics and imaging of glial cell tumours.

Authors:  C Walker; A Baborie; D Crooks; S Wilkins; M D Jenkinson
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

6.  Clinical, dosimetric, and radiographic correlation of radiation injury involving the brainstem and the medial temporal lobes following stereotactic radiotherapy for neoplasms of central skull base.

Authors:  Stefano Schipani; Rajan Jain; Keyur Shah; Jack P Rock; Benjamin Movsas; Mark Rosenblum; Samuel Ryu
Journal:  J Neurooncol       Date:  2010-04-08       Impact factor: 4.130

Review 7.  Update on neuroimaging phenotypes of mid-hindbrain malformations.

Authors:  Patrice Jissendi-Tchofo; Mariasavina Severino; Béatrice Nguema-Edzang; Cissé Toure; Gustavo Soto Ares; Anthony James Barkovich
Journal:  Neuroradiology       Date:  2014-10-23       Impact factor: 2.804

8.  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

9.  Assessment of hemodynamics in precancerous lesion of hepatocellular carcinoma: evaluation with MR perfusion.

Authors:  Sheng Guan; Wei-Dong Zhao; Kang-Rong Zhou; Wei-Jun Peng; Feng Tang; Jian Mao
Journal:  World J Gastroenterol       Date:  2007-02-28       Impact factor: 5.742

10.  Preoperative subtyping of meningiomas by perfusion MR imaging.

Authors:  Hao Zhang; Lars A Rödiger; Tianzhen Shen; Jingtao Miao; Matthijs Oudkerk
Journal:  Neuroradiology       Date:  2008-06-10       Impact factor: 2.804

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