Literature DB >> 22872457

Perfusion computed tomography assessments of peri-enhancing brain tissue in high-grade gliomas.

A Stecco1, F Fabbiano, P Amatuzzo, E Cignini, M Brambilla, L Masini, M Krengli, A Carriero.   

Abstract

PURPOSE: This study was undertaken to identify tumoural infiltration of peri-enhancing brain tissue in patients with glioblastoma by means of perfusion computed tomography (PCT) parameters, cerebral blood volume (CBV) and permeability surface (PS).
MATERIALS AND METHODS: Eight patients with surgically treated glioblastoma who were eligible for radiotherapy and nine patients with brain metastases from lung and breast cancer underwent CT before and after injection of contrast medium. CBV and PS were calculated in the contrast-enhancing lesion area, in the area of perilesional oedema and in the normal-appearing white matter (NAWM), normalised to contralateral symmetrical areas.
RESULTS: No significant differences were found for normalised CBV (nCBV) and nPS in NAWM regions between metastasis and glioma. Significant differences in nPS (p<0.005) were found between the typically vasogenic oedema surrounding the metastases and signal alteration surrounding the glial neoplasm. On the contrary, no significant differences were detected in the same areas for nCBV.
CONCLUSIONS: PCT can analyse the histopathological substrate underlying the hypodense peritumoural halo and differentiate between vasogenic oedema and neoplastic infiltration on the basis of the PS parameter. In our study, PS was more informative than CBV. These findings can be used to integrate plans for radiation therapy and/or surgery.

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Year:  2012        PMID: 22872457     DOI: 10.1007/s11547-012-0865-z

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  37 in total

Review 1.  Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging.

Authors:  Soonmee Cha; Edmond A Knopp; Glyn Johnson; Stephan G Wetzel; Andrew W Litt; David Zagzag
Journal:  Radiology       Date:  2002-04       Impact factor: 11.105

2.  Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology.

Authors:  Thomas E Yankeelov; William D Rooney; Wei Huang; Jonathan P Dyke; Xin Li; Alina Tudorica; Jing-Huei Lee; Jason A Koutcher; Charles S Springer
Journal:  NMR Biomed       Date:  2005-05       Impact factor: 4.044

3.  Magnetic resonance imaging detects suppression of tumor vascular permeability after administration of antibody to vascular endothelial growth factor.

Authors:  C D Pham; T P Roberts; N van Bruggen; O Melnyk; J Mann; N Ferrara; R L Cohen; R C Brasch
Journal:  Cancer Invest       Date:  1998       Impact factor: 2.176

4.  Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging.

Authors:  Bei Ding; Hua Wei Ling; Ke Min Chen; Hong Jiang; Yan Bo Zhu
Journal:  Neuroradiology       Date:  2006-08-26       Impact factor: 2.804

5.  Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability: report of two cases.

Authors:  Heidi C Roberts; Timothy P L Roberts; Ting-Yim Lee; William P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2002-05       Impact factor: 3.825

6.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

7.  Phenylketonuria: white-matter changes assessed by 3.0-T magnetic resonance (MR) imaging, MR spectroscopy and MR diffusion.

Authors:  T Scarabino; T Popolizio; M Tosetti; D Montanaro; G M Giannatempo; R Terlizzi; S Pollice; A Maiorana; N Maggialetti; A Carriero; V Leuzzi; U Salvolini
Journal:  Radiol Med       Date:  2009-03-10       Impact factor: 3.469

8.  Quantification of angiogenesis by functional computed tomography in a Matrigel model in rats.

Authors:  Sith Phongkitkarun; Satoshi Kobayashi; Zuxing Kan; Ting-Yim Lee; Chusilp Charnsangavej
Journal:  Acad Radiol       Date:  2004-05       Impact factor: 3.173

9.  Radiological interpretation 2020: toward quantitative image assessment.

Authors:  John M Boone
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

10.  Using relative cerebral blood flow and volume to evaluate the histopathologic grade of cerebral gliomas: preliminary results.

Authors:  Ji Hoon Shin; Ho Kyu Lee; Byung Duk Kwun; Jin-Suh Kim; Weechang Kang; Choong Gon Choi; Dae Chul Suh
Journal:  AJR Am J Roentgenol       Date:  2002-09       Impact factor: 3.959

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