Literature DB >> 19204461

Dynamic contrast-enhanced derived cerebral blood volume correlates better with leak correction than with no correction for vascular endothelial growth factor, microvascular density, and grading of astrocytoma.

Mohammad Haris1, Nuzhat Husain, Anup Singh, Mazhar Husain, Savita Srivastava, Chhitiz Srivastava, Sanjay Behari, Ram Kishore S Rathore, Sona Saksena, Rakesh Kumar Gupta.   

Abstract

OBJECTIVE: To look for the impact of leak correction on correlation of perfusion indices with microvessel density (MVD) and vascular endothelial growth factor (VEGF) in astrocytomas.
METHODS: Dynamic contrast-enhanced magnetic resonance imaging was performed in 64 patients with varying grades of astrocytoma. Perfusion indices (ie, relative cerebral blood volume (rCBV) with and without leak correction, relative cerebral blood flow (rCBF), permeability (k(trans)), and leakage (v(e)) were quantified. MVD and VEGF-expressing cells were quantified from the excised tumor tissues and were correlated with perfusion metrics.
RESULTS: Perfusion indices showed significant difference among the astrocytoma grades. The corrected rCBV correlated better with MVD and VEGF. The corrected rCBV correlated (r = 0.853, P = <0.001) strongly, whereas the uncorrected rCBV (r = 0.592, P = <0.001) and k(trans) (r = 0.498, P = 0.001) correlated moderately with tumor grade. The corrected rCBV discriminated 100% low-grade from high-grade astrocytoma, while uncorrected rCBV did this in 95.5% low-grade and 71.4% high-grade astrocytoma.
CONCLUSIONS: Corrected rCBV better correlates with grade and is more accurate in discriminating low-grade from high-grade astrocytoma compared with uncorrected rCBV.

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Year:  2008        PMID: 19204461     DOI: 10.1097/RCT.0b013e31816200d1

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  17 in total

1.  Measurements of diagnostic examination performance and correlation analysis using microvascular leakage, cerebral blood volume, and blood flow derived from 3T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in glial tumor grading.

Authors:  Andrés Server; Bjørn A Graff; Tone E Døli Orheim; Till Schellhorn; Roger Josefsen; Øystein B Gadmar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-09-21       Impact factor: 2.804

2.  Discriminant analysis to classify glioma grading using dynamic contrast-enhanced MRI and immunohistochemical markers.

Authors:  Rishi Awasthi; Ram K S Rathore; Priyanka Soni; Prativa Sahoo; Ashish Awasthi; Nuzhat Husain; Sanjay Behari; Rohit K Singh; Chandra M Pandey; Rakesh K Gupta
Journal:  Neuroradiology       Date:  2011-05-04       Impact factor: 2.804

3.  Correlations between perfusion MR imaging cerebral blood volume, microvessel quantification, and clinical outcome using stereotactic analysis in recurrent high-grade glioma.

Authors:  L S Hu; J M Eschbacher; A C Dueck; J E Heiserman; S Liu; J P Karis; K A Smith; W R Shapiro; D S Pinnaduwage; S W Coons; P Nakaji; J Debbins; B G Feuerstein; L C Baxter
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-17       Impact factor: 3.825

4.  Survival analysis in patients with newly diagnosed primary glioblastoma multiforme using pre- and post-treatment peritumoral perfusion imaging parameters.

Authors:  Asim K Bag; Phillip C Cezayirli; Jake J Davenport; Santhosh Gaddikeri; Hassan M Fathallah-Shaykh; Alan Cantor; Xiaosi S Han; Louis B Nabors
Journal:  J Neurooncol       Date:  2014-08-07       Impact factor: 4.130

5.  The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma.

Authors:  Xiang Liu; Rajiv Mangla; Wei Tian; Xing Qiu; Dongmei Li; Kevin A Walter; Sven Ekholm; Mahlon D Johnson
Journal:  J Neurooncol       Date:  2017-09-09       Impact factor: 4.130

6.  Measurement of the perfusion fraction in brain tumors with intravoxel incoherent motion MR imaging: validation with histopathological vascular density in meningiomas.

Authors:  Osamu Togao; Akio Hiwatashi; Koji Yamashita; Kazufumi Kikuchi; Daichi Momosaka; Koji Yoshimoto; Daisuke Kuga; Masahiro Mizoguchi; Satoshi O Suzuki; Toru Iwaki; Marc Van Cauteren; Koji Iihara; Hiroshi Honda
Journal:  Br J Radiol       Date:  2018-02-16       Impact factor: 3.039

Review 7.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Authors:  Jurgita Usinskiene; Agne Ulyte; Atle Bjørnerud; Jonas Venius; Vasileios K Katsaros; Ryte Rynkeviciene; Simona Letautiene; Darius Norkus; Kestutis Suziedelis; Saulius Rocka; Andrius Usinskas; Eduardas Aleknavicius
Journal:  Neuroradiology       Date:  2016-01-15       Impact factor: 2.804

8.  Pilot study on evaluation of any correlation between MR perfusion (Ktrans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 Tesla.

Authors:  Jian-Ping Chu; Henry Ka-Fung Mak; Kelvin Kai-Wing Yau; Linda Zhang; Janice Tsang; Queenie Chan; Gilberto Ka-Kit Leung
Journal:  Cancer Imaging       Date:  2012-01-23       Impact factor: 3.909

Review 9.  Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review.

Authors:  Anna K Heye; Ross D Culling; Maria Del C Valdés Hernández; Michael J Thrippleton; Joanna M Wardlaw
Journal:  Neuroimage Clin       Date:  2014-09-10       Impact factor: 4.881

10.  Mitotic Activity in Glioblastoma Correlates with Estimated Extravascular Extracellular Space Derived from Dynamic Contrast-Enhanced MR Imaging.

Authors:  S J Mills; D du Plessis; P Pal; G Thompson; G Buonacorrsi; C Soh; G J M Parker; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2015-12-24       Impact factor: 3.825

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