Literature DB >> 17167979

Spectroscopic, diffusion and perfusion magnetic resonance imaging at 3.0 Tesla in the delineation of glioblastomas: preliminary results.

A Di Costanzo1, F Trojsi, G M Giannatempo, L Vuolo, T Popolizio, D Catapano, S Bonavita, V A d'Angelo, G Tedeschi, T Scarabino.   

Abstract

Recent advances in magnetic resonance imaging (MRI) have allowed the evaluation of metabolic, diffusion and hemodynamic features of malignant gliomas. The aim of this study was to evaluate whether such information provided useful, complementary information to conventional MRI for improving the evaluation of glioblastoma extent. Ten patients with glioblastoma multiforme underwent conventional MRI, proton MR spectroscopic imaging (1H-MRSI), perfusion-weighted imaging (PWI) and diffusion-weighted imaging (DWI). Metabolite signals, including normalized choline, N-acetylaspartate, creatine and lactate/lipids, were obtained by 1H-MRSI; apparent diffusion coefficient (ADC) by DWI; and relative cerebral blood volume (rCBV) by PWI. In edematous-appearing areas, 3 multiparametric patterns were identified: infiltrating tumor, with abnormal metabolite ratios, lower ADC and higher rCBV; pure edema, with normal metabolite ratios, higher ADC and lower rCBV; and tumor-infiltrated edema, with abnormal metabolite ratios and intermediate ADC and rCBV. In normal-appearing areas, 2 multiparametric patterns were identified: tumor-infiltrated tissue, with abnormal metabolite ratios and higher rCBV; and normal tissue, with normal MR parameters. The combination of 1H-MRSI, DWI and PWI features contributed to delineation of glioblastomas, offering information not available with conventional MRI. This approach may enhance the assessment of brain gliomas, providing useful information for guiding stereotactic biopsies, surgical resection and radiation treatment.

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Mesh:

Year:  2006        PMID: 17167979

Source DB:  PubMed          Journal:  J Exp Clin Cancer Res        ISSN: 0392-9078


  9 in total

1.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

2.  Quantitative longitudinal evaluation of diaschisis-related cerebellar perfusion and diffusion parameters in patients with supratentorial hemispheric high-grade gliomas after surgery.

Authors:  Zoltan Patay; Carlos Parra; Harris Hawk; Arun George; Yimei Li; Matthew Scoggins; Alberto Broniscer; Robert J Ogg
Journal:  Cerebellum       Date:  2014-10       Impact factor: 3.847

Review 3.  Interrogating Metabolism in Brain Cancer.

Authors:  Travis C Salzillo; Jingzhe Hu; Linda Nguyen; Nicholas Whiting; Jaehyuk Lee; Joseph Weygand; Prasanta Dutta; Shivanand Pudakalakatti; Niki Zacharias Millward; Seth T Gammon; Frederick F Lang; Amy B Heimberger; Pratip K Bhattacharya
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-11       Impact factor: 2.266

4.  Role of advanced MR imaging modalities in diagnosing cerebral gliomas.

Authors:  T Scarabino; T Popolizio; F Trojsi; G Giannatempo; S Pollice; N Maggialetti; A Carriero; A Di Costanzo; G Tedeschi; U Salvolini
Journal:  Radiol Med       Date:  2008-12-11       Impact factor: 3.469

5.  Imaging immune response in vivo: cytolytic action of genetically altered T cells directed to glioblastoma multiforme.

Authors:  Jelena Lazovic; Michael C Jensen; Evette Ferkassian; Brenda Aguilar; Andrew Raubitschek; Russell E Jacobs
Journal:  Clin Cancer Res       Date:  2008-06-15       Impact factor: 12.531

Review 6.  MR-Guided Radiotherapy for Brain and Spine Tumors.

Authors:  Danilo Maziero; Michael W Straza; John C Ford; Joseph A Bovi; Tejan Diwanji; Radka Stoyanova; Eric S Paulson; Eric A Mellon
Journal:  Front Oncol       Date:  2021-03-08       Impact factor: 6.244

Review 7.  Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors.

Authors:  Lu Guo; Gang Wang; Yuanming Feng; Tonggang Yu; Yu Guo; Xu Bai; Zhaoxiang Ye
Journal:  Radiat Oncol       Date:  2016-09-21       Impact factor: 3.481

8.  Differentiating Radiation-Induced Necrosis from Recurrent Brain Tumor Using MR Perfusion and Spectroscopy: A Meta-Analysis.

Authors:  Ming-Tsung Chuang; Yi-Sheng Liu; Yi-Shan Tsai; Ying-Chen Chen; Chien-Kuo Wang
Journal:  PLoS One       Date:  2016-01-07       Impact factor: 3.240

9.  A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy.

Authors:  Lu Guo; Ping Wang; Ranran Sun; Chengwen Yang; Ning Zhang; Yu Guo; Yuanming Feng
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

  9 in total

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