Literature DB >> 12784879

Imaging glioblastoma multiforme.

Sarah J Nelson1, Soonmee Cha.   

Abstract

Glioblastoma multiforme are infiltrative lesions that have a high degree of heterogeneity, both within and between different patients. Imaging is critical for all phases in the evaluation and treatment of these lesions, but has been limited in providing information that is reliable enough to stratify patients into groups with uniform behavior and to predict outcome. Although magnetic resonance imaging is the method of choice for visualizing anatomic features of the lesion, its results are ambiguous in terms of defining the functional characteristics of the lesion and distinguishing tumor from treatment induced necrosis. Recent advances in magnetic resonance have made possible the routine acquisition of physiological data such as perfusion- and diffusion-weighted images and of metabolic data such as water suppressed proton spectroscopic images. These provide quantitative measurements that are more closely related to the biological properties of the tumor and reflect changes in tumor vascularity, cellularity and proliferation that are associated with tumor progression. As the molecular properties that influence invasion and neoplastic transformation are elucidated, it is critical that noninvasive imaging techniques are available for investigating new therapies and tailoring treatment to individual patient characteristics. The data obtained from patients with glioblastoma multiforme have already demonstrated that these new magnetic resonance techniques are able to contribute to diagnosis, characterization of malignant potential, treatment planning and assessment of response to therapy.

Entities:  

Mesh:

Year:  2003        PMID: 12784879     DOI: 10.1097/00130404-200303000-00009

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  24 in total

Review 1.  MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.

Authors:  M Essig; N Anzalone; S E Combs; À Dörfler; S-K Lee; P Picozzi; A Rovira; M Weller; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

2.  Use of dynamic susceptibility-contrast MRI (DSC-MRI) to assess perfusion changes in the ipsilateral brain parenchyma from glioblastoma.

Authors:  Stephan Ulmer; Carsten Liess; Santosh Kesari; Nadine Otto; Torsten Straube; Olav Jansen
Journal:  J Neurooncol       Date:  2008-09-21       Impact factor: 4.130

3.  Prognostic paradox: brain damage around the glioblastoma resection cavity.

Authors:  Takuya Furuta; Mitsutoshi Nakada; Fumiaki Ueda; Takuya Watanabe; Yasuaki Arakawa; Ryo Higashi; Masaaki Hashimoto; Hisashi Nitta; Yutaka Hayashi; Jun-ichiro Hamada
Journal:  J Neurooncol       Date:  2014-03-07       Impact factor: 4.130

4.  Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.

Authors:  Mekhail Anwar; Annette M Molinaro; Olivier Morin; Susan M Chang; Daphne A Haas-Kogan; Sarah J Nelson; Janine M Lupo
Journal:  Radiat Res       Date:  2017-07-19       Impact factor: 2.841

Review 5.  The multifaceted NF-kB: are there still prospects of its inhibition for clinical intervention in pediatric central nervous system tumors?

Authors:  Mariana Medeiros; Marina Ferreira Candido; Elvis Terci Valera; María Sol Brassesco
Journal:  Cell Mol Life Sci       Date:  2021-07-31       Impact factor: 9.261

6.  A mathematical model for brain tumor response to radiation therapy.

Authors:  R Rockne; E C Alvord; J K Rockhill; K R Swanson
Journal:  J Math Biol       Date:  2008-09-25       Impact factor: 2.259

7.  Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma.

Authors:  Susan M Chang; Sarah Nelson; Scott Vandenberg; Soonmee Cha; Michael Prados; Nicholas Butowski; Michael McDermott; Andrew T Parsa; Manish Aghi; Jennifer Clarke; Mitchel Berger
Journal:  J Neurooncol       Date:  2009-04-09       Impact factor: 4.130

8.  Establishment and characterization of human hepatocellular carcinoma cell line FHCC-98.

Authors:  Chao-Yang Lou; Ying-Ming Feng; Ai-Rong Qian; Yu Li; Hao Tang; Peng Shang; Zhi-Nan Chen
Journal:  World J Gastroenterol       Date:  2004-05-15       Impact factor: 5.742

Review 9.  Gene therapy for brain cancer: combination therapies provide enhanced efficacy and safety.

Authors:  Marianela Candolfi; Kurt M Kroeger; A K M G Muhammad; Kader Yagiz; Catherine Farrokhi; Robert N Pechnick; Pedro R Lowenstein; Maria G Castro
Journal:  Curr Gene Ther       Date:  2009-10       Impact factor: 4.391

10.  ¹H nuclear magnetic resonance spectroscopy characterisation of metabolic phenotypes in the medulloblastoma of the SMO transgenic mice.

Authors:  S K Hekmatyar; M Wilson; N Jerome; R M Salek; J L Griffin; A Peet; R A Kauppinen
Journal:  Br J Cancer       Date:  2010-09-14       Impact factor: 7.640

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