Literature DB >> 18292928

Proton magnetic resonance spectroscopic imaging as a cancer biomarker for pediatric brain tumors (Review).

A Aria Tzika1.   

Abstract

Magnetic resonance (MR) techniques offer a non-invasive, non-irradiating yet sensitive approach to diagnose and monitor cancer, which encompasses diverse processes affecting various aspects of pathophysiology. Techniques such as MR spectroscopy (MRS) have been developed and applied to monitor the metabolic aspects of cancer. Given that cancer is such a variable disease, biomarkers identified using MRS represent a promising advance and may suggest appropriate therapy, especially when diagnostic biopsies are not feasible. This article will focus on proton MRS, which appears to be the most promising MR method and is complementary to existing diagnostic methods that may be used to characterize and monitor cancer processes. We further focus on applying the MRS technology to pediatric brain tumors, the leading cause of pediatric cancer mortality.

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Year:  2008        PMID: 18292928     DOI: 10.3892/ijo_32_3_517

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  8 in total

1.  Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers.

Authors:  Ovidiu C Andronesi; Konstantinos D Blekas; Dionyssios Mintzopoulos; Loukas Astrakas; Peter M Black; A Aria Tzika
Journal:  Int J Oncol       Date:  2008-11       Impact factor: 5.650

2.  2-D magnetic resonance spectroscopic imaging of the pediatric brain using compressed sensing.

Authors:  Rohini Vidya Shankar; Houchun H Hu; Nutandev Bikkamane Jayadev; John C Chang; Vikram D Kodibagkar
Journal:  Pediatr Radiol       Date:  2019-08-28

Review 3.  Key concepts in MR spectroscopy and practical approaches to gaining biochemical information in children.

Authors:  Loukas G Astrakas; Maria I Argyropoulou
Journal:  Pediatr Radiol       Date:  2016-05-27

4.  Proton MRS imaging in pediatric brain tumors.

Authors:  Maria Zarifi; A Aria Tzika
Journal:  Pediatr Radiol       Date:  2016-05-27

5.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

6.  Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction.

Authors:  Luis Miguel Núñez; Enrique Romero; Margarida Julià-Sapé; María Jesús Ledesma-Carbayo; Andrés Santos; Carles Arús; Ana Paula Candiota; Alfredo Vellido
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

7.  Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost.

Authors:  Soléakhéna Ken; Laure Vieillevigne; Xavier Franceries; Luc Simon; Caroline Supper; Jean-Albert Lotterie; Thomas Filleron; Vincent Lubrano; Isabelle Berry; Emmanuelle Cassol; Martine Delannes; Pierre Celsis; Elizabeth Moyal Cohen-Jonathan; Anne Laprie
Journal:  Radiat Oncol       Date:  2013-01-02       Impact factor: 3.481

8.  SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.

Authors:  Jason C Crane; Marram P Olson; Sarah J Nelson
Journal:  Int J Biomed Imaging       Date:  2013-07-18
  8 in total

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