Literature DB >> 29931476

The Role of Advanced Brain Tumor Imaging in the Care of Patients with Central Nervous System Malignancies.

K Ina Ly1, Elizabeth R Gerstner2.   

Abstract

OPINION STATEMENT: T1-weighted post-contrast and T2-weighted fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) constitute the gold standard for diagnosis and response assessment in neuro-oncologic patients but are limited in their ability to accurately reflect tumor biology and metabolism, particularly over the course of a patient's treatment. Advanced MR imaging methods are sensitized to different biophysical processes in tissue, including blood perfusion, tumor metabolism, and chemical composition of tissue, and provide more specific information on tissue physiology than standard MRI. This review provides an overview of the most common and emerging advanced imaging modalities in the field of brain tumor imaging and their applications in the care of neuro-oncologic patients.

Entities:  

Keywords:  Brain tumors; Functional MRI; PET; Radiomics

Mesh：

Year:  2018        PMID： 29931476     DOI： 10.1007/s11864-018-0558-5

Source DB:  PubMed          Journal:  Curr Treat Options Oncol        ISSN： 1534-6277


  127 in total

1.  Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

Authors:  Whitney B Pope; Hyun J Kim; Jing Huo; Jeffry Alger; Matthew S Brown; David Gjertson; Victor Sai; Jonathan R Young; Leena Tekchandani; Timothy Cloughesy; Paul S Mischel; Albert Lai; Phioanh Nghiemphu; Syed Rahmanuddin; Jonathan Goldin
Journal:  Radiology       Date:  2009-07       Impact factor: 11.105

2.  Increased 68Ga-DOTATATE uptake in PET imaging discriminates meningioma and tumor-free tissue.

Authors:  Walter Rachinger; Veit M Stoecklein; Nicole A Terpolilli; Alexander R Haug; Lorenz Ertl; Julia Pöschl; Ulrich Schüller; Christian Schichor; Niklas Thon; Jörg-Christian Tonn
Journal:  J Nucl Med       Date:  2015-01-29       Impact factor: 10.057

Review 3.  Advanced magnetic resonance imaging of the physical processes in human glioblastoma.

Authors:  Jayashree Kalpathy-Cramer; Elizabeth R Gerstner; Kyrre E Emblem; Ovidiu Andronesi; Bruce Rosen
Journal:  Cancer Res       Date:  2014-09-01       Impact factor: 12.701

Review 4.  New PET radiopharmaceuticals beyond FDG for brain tumor imaging.

Authors:  B Gulyás; C Halldin
Journal:  Q J Nucl Med Mol Imaging       Date:  2012-04       Impact factor: 2.346

5.  Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response.

Authors:  Philipp Kickingereder; Michael Götz; John Muschelli; Antje Wick; Ulf Neuberger; Russell T Shinohara; Martin Sill; Martha Nowosielski; Heinz-Peter Schlemmer; Alexander Radbruch; Wolfgang Wick; Martin Bendszus; Klaus H Maier-Hein; David Bonekamp
Journal:  Clin Cancer Res       Date:  2016-10-10       Impact factor: 12.531

6.  Correlation of microvascular permeability derived from dynamic contrast-enhanced MR imaging with histologic grade and tumor labeling index: a study in human brain tumors.

Authors:  H C Roberts; T P Roberts; A W Bollen; S Ley; R C Brasch; W P Dillon
Journal:  Acad Radiol       Date:  2001-05       Impact factor: 3.173

7.  Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma.

Authors:  Kathleen M Schmainda; Melissa Prah; Jennifer Connelly; Scott D Rand; Raymond G Hoffman; Wade Mueller; Mark G Malkin
Journal:  Neuro Oncol       Date:  2014-01-15       Impact factor: 12.300

8.  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

9.  MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.

Authors:  David A Gutman; Lee A D Cooper; Scott N Hwang; Chad A Holder; Jingjing Gao; Tarun D Aurora; William D Dunn; Lisa Scarpace; Tom Mikkelsen; Rajan Jain; Max Wintermark; Manal Jilwan; Prashant Raghavan; Erich Huang; Robert J Clifford; Pattanasak Mongkolwat; Vladimir Kleper; John Freymann; Justin Kirby; Pascal O Zinn; Carlos S Moreno; Carl Jaffe; Rivka Colen; Daniel L Rubin; Joel Saltz; Adam Flanders; Daniel J Brat
Journal:  Radiology       Date:  2013-02-07       Impact factor: 11.105

10.  Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma.

Authors:  R F Barajas; J L Rubenstein; J S Chang; J Hwang; S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-03       Impact factor: 4.966
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  3 in total

1.  Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas.

Authors:  Shun Zhang; Gloria Chia-Yi Chiang; Rajiv S Magge; Howard Alan Fine; Rohan Ramakrishna; Eileen Wang Chang; Tejas Pulisetty; Yi Wang; Wenzhen Zhu; Ilhami Kovanlikaya
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

Review 2.  Current emerging MRI tools for radionecrosis and pseudoprogression diagnosis.

Authors:  Lucia Nichelli; Stefano Casagranda
Journal:  Curr Opin Oncol       Date:  2021-11-01       Impact factor: 3.915

3.  Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model.

Authors:  Junyi Dong; Meimei Yu; Yanwei Miao; Huicong Shen; Yi Sui; Yangyingqiu Liu; Liang Han; Xiaoxin Li; Meiying Lin; Yan Guo; Lizhi Xie
Journal:  Biomed Res Int       Date:  2020-12-01       Impact factor: 3.411
  3 in total

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