Literature DB >> 9561517

Radiological assessment of necrosis in glioblastoma: variability and prognostic value.

A Pierallini1, M Bonamini, P Pantano, F Palmeggiani, M Raguso, M F Osti, G Anaveri, L Bozzao.   

Abstract

In a previous study, we found that the extent of necrosis was the only radiological feature which correlated significantly with survival in patients with glioblastoma. The aim of this paper was to evaluate the variability and prognostic value of the extent of the necrotic area as seen on contrast-enhanced MRI and CT in a larger series. We studied 72 patients who underwent surgical removal of supratentorial glioblastomas and had CT and/or MRI with contrast medium before surgery; 38, all undergoing the same treatment (surgery plus radiotherapy), were followed clinically. Necrosis within the tumour varied greatly, ranging from none (only 1 case) to involvement of 76% of the tumour. Survival data in the subgroup suggested that only patients with a small area of necrosis (less than 35% of the tumour) had a significantly longer survival time. When necrosis involved more than 35% of the mass, patients had a shorter survival time, without any further correlation with the extent of necrosis.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9561517     DOI: 10.1007/s002340050556

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  18 in total

1.  Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.

Authors:  G Çoban; S Mohan; F Kural; S Wang; D M O'Rourke; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-02       Impact factor: 3.825

Review 2.  Radiogenomics and imaging phenotypes in glioblastoma: novel observations and correlation with molecular characteristics.

Authors:  Benjamin M Ellingson
Journal:  Curr Neurol Neurosci Rep       Date:  2015-01       Impact factor: 5.081

3.  OKN-007 decreases tumor necrosis and tumor cell proliferation and increases apoptosis in a preclinical F98 rat glioma model.

Authors:  Patricia Coutinho de Souza; Krithika Balasubramanian; Charity Njoku; Natalyia Smith; David L Gillespie; Andrea Schwager; Osama Abdullah; Jerry W Ritchey; Kar-Ming Fung; Debra Saunders; Randy L Jensen; Rheal A Towner
Journal:  J Magn Reson Imaging       Date:  2015-04-29       Impact factor: 4.813

4.  Quantitative MR perfusion parameters related to survival time in high-grade gliomas.

Authors:  Roberto Sanz-Requena; Antonio Revert-Ventura; Luis Martí-Bonmatí; Angel Alberich-Bayarri; Gracián García-Martí
Journal:  Eur Radiol       Date:  2013-07-10       Impact factor: 5.315

5.  MR imaging correlates of survival in patients with high-grade gliomas.

Authors:  Whitney B Pope; James Sayre; Alla Perlina; J Pablo Villablanca; Paul S Mischel; Timothy F Cloughesy
Journal:  AJNR Am J Neuroradiol       Date:  2005 Nov-Dec       Impact factor: 3.825

6.  Specific chemotaxis of magnetically labeled mesenchymal stem cells: implications for MRI of glioma.

Authors:  Margaret F Bennewitz; Kevin S Tang; Eleni A Markakis; Erik M Shapiro
Journal:  Mol Imaging Biol       Date:  2012-12       Impact factor: 3.488

Review 7.  Molecular mechanisms of necrosis in glioblastoma: the role of glutamate excitotoxicity.

Authors:  Evan Noch; Kamel Khalili
Journal:  Cancer Biol Ther       Date:  2009-10       Impact factor: 4.742

8.  Identification of noninvasive imaging surrogates for brain tumor gene-expression modules.

Authors:  Maximilian Diehn; Christine Nardini; David S Wang; Susan McGovern; Mahesh Jayaraman; Yu Liang; Kenneth Aldape; Soonmee Cha; Michael D Kuo
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-24       Impact factor: 11.205

9.  On the Prognosis of Multifocal Glioblastoma: An Evaluation Incorporating Volumetric MRI.

Authors:  Johannes Kasper; Nicole Hilbert; Tim Wende; Michael Karl Fehrenbach; Florian Wilhelmy; Katja Jähne; Clara Frydrychowicz; Gordian Hamerla; Jürgen Meixensberger; Felix Arlt
Journal:  Curr Oncol       Date:  2021-04-07       Impact factor: 3.677

10.  Noninvasive estimation of tumour viability in a xenograft model of human neuroblastoma with proton magnetic resonance spectroscopy (1H MRS).

Authors:  M Lindskog; P Kogner; F Ponthan; P Schweinhardt; B Sandstedt; T Heiden; G Helms; C Spenger
Journal:  Br J Cancer       Date:  2003-02-10       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.