Literature DB >> 22433821

Conventional MRI evaluation of gliomas.

N Upadhyay1, A D Waldman.   

Abstract

MRI using T(1) weighted, T(2) weighted and gadolinium-enhanced sequences plays a central clinical role in diagnosis, characterisation, surveillance and therapeutic monitoring of gliomas. Such conventional MRI protocols provide high resolution multiplanar structural information, and substantially improved tissue characterisation compared with CT. However, the MRI signal lacks biological specificity, e.g. T(2) weighted dependent signal abnormality is dominated by tissue water content, and contrast enhancement reflects a non-specific increase in blood-brain barrier permeability. This limits non-invasive glioma diagnosis, characterisation and therapeutic planning and assessment of active tumour load may be confounded by treatment-related effects. The complex features of glioma morphology and often subtle changes between MRI examinations are also frequently difficult to detect reliably by visual inspection of the images, even by an experienced radiologist. Moreover, the most widely used response criteria in clinical practice and therapeutic trials rely on linear measurements of enhancing tumour and are further challenged by the irregular shape and heterogeneous composition of gliomas. This contributes to the poor correlation of these criteria with hard clinical endpoints. While conventional MRI is widely available and provides essential anatomical information, the lack of pathology-specific biomarkers available from standard MRI sequences and methods of image analysis used limit overall diagnostic and prognostic efficacy of the examination.

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Year:  2011        PMID: 22433821      PMCID: PMC3473894          DOI: 10.1259/bjr/65711810

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  25 in total

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Authors:  M C Y de Wit; H G de Bruin; W Eijkenboom; P A E Sillevis Smitt; M J van den Bent
Journal:  Neurology       Date:  2004-08-10       Impact factor: 9.910

2.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

3.  Response criteria for phase II studies of supratentorial malignant glioma.

Authors:  D R Macdonald; T L Cascino; S C Schold; J G Cairncross
Journal:  J Clin Oncol       Date:  1990-07       Impact factor: 44.544

4.  How often are nonenhancing supratentorial gliomas malignant? A population study.

Authors:  J N Scott; P M A Brasher; R J Sevick; N B Rewcastle; P A Forsyth
Journal:  Neurology       Date:  2002-09-24       Impact factor: 9.910

5.  Supratentorial diffuse astrocytic tumours: proposal of an MRI classification.

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Journal:  Eur Radiol       Date:  1997       Impact factor: 5.315

6.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

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Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 7.  Response criteria for glioma.

Authors:  A Gregory Sorensen; Tracy T Batchelor; Patrick Y Wen; Wei-Ting Zhang; Rakesh K Jain
Journal:  Nat Clin Pract Oncol       Date:  2008-08-19

8.  MR Gd-DTPA enhancement of radiation brain injury.

Authors:  R Nishimura; M Takahashi; S Morishita; M Sumi; H Uozumi; Y Sakamoto
Journal:  Radiat Med       Date:  1992 May-Jun

9.  Assessment of the pathological grade of astrocytic gliomas using an MRI score.

Authors:  S Asari; T Makabe; S Katayama; T Itoh; S Tsuchida; T Ohmoto
Journal:  Neuroradiology       Date:  1994-05       Impact factor: 2.804

10.  Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue.

Authors:  T Sugahara; Y Korogi; S Tomiguchi; Y Shigematsu; I Ikushima; T Kira; L Liang; Y Ushio; M Takahashi
Journal:  AJNR Am J Neuroradiol       Date:  2000-05       Impact factor: 4.966

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  60 in total

1.  Features of diffuse gliomas that are misdiagnosed on initial neuroimaging: a case control study.

Authors:  M D Maldonado; P Batchala; D Ornan; C Fadul; D Schiff; J N Itri; R Jain; S H Patel
Journal:  J Neurooncol       Date:  2018-06-29       Impact factor: 4.130

Review 2.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Authors:  Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

Review 3.  Insights into molecular therapy of glioma: current challenges and next generation blueprint.

Authors:  Y Rajesh; Ipsita Pal; Payel Banik; Sandipan Chakraborty; Sachin A Borkar; Goutam Dey; Ahona Mukherjee; Mahitosh Mandal
Journal:  Acta Pharmacol Sin       Date:  2017-03-20       Impact factor: 6.150

4.  Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging.

Authors:  Yashar Moharamzad; Morteza Sanei Taheri; Farhad Niaghi; Elham Shobeiri
Journal:  Neuroradiol J       Date:  2017-11-17

5.  A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning.

Authors:  Javeria Amin; Muhammad Sharif; Mussarat Yasmin; Tanzila Saba; Muhammad Almas Anjum; Steven Lawrence Fernandes
Journal:  J Med Syst       Date:  2019-10-23       Impact factor: 4.460

6.  Presurgical Identification of Primary Central Nervous System Lymphoma with Normalized Time-Intensity Curve: A Pilot Study of a New Method to Analyze DSC-PWI.

Authors:  A Pons-Escoda; A Garcia-Ruiz; P Naval-Baudin; M Cos; N Vidal; G Plans; J Bruna; R Perez-Lopez; C Majos
Journal:  AJNR Am J Neuroradiol       Date:  2020-09-17       Impact factor: 3.825

7.  Conventional Treatment of Glioblastoma Reveals Persistent CD44+ Subpopulations.

Authors:  Johann Mar Gudbergsson; Esben Christensen; Serhii Kostrikov; Torben Moos; Meg Duroux; Andreas Kjær; Kasper Bendix Johnsen; Thomas Lars Andresen
Journal:  Mol Neurobiol       Date:  2020-07-06       Impact factor: 5.590

8.  Dynamic Susceptibility Contrast-Enhanced MR Perfusion Imaging in Assessing Recurrent Glioblastoma Response to Superselective Intra-Arterial Bevacizumab Therapy.

Authors:  R Singh; K Kesavabhotla; S A Kishore; Z Zhou; A J Tsiouris; C G Filippi; J A Boockvar; I Kovanlikaya
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-26       Impact factor: 3.825

9.  Contrast enhancement predicting survival in integrated molecular subtypes of diffuse glioma: an observational cohort study.

Authors:  Johann-Martin Hempel; Cornelia Brendle; Benjamin Bender; Georg Bier; Marco Skardelly; Irina Gepfner-Tuma; Franziska Eckert; Ulrike Ernemann; Jens Schittenhelm
Journal:  J Neurooncol       Date:  2018-04-17       Impact factor: 4.130

Review 10.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

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