Literature DB >> 19727562

Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas.

Chadi Hlaihel1, Laurent Guilloton, Jacques Guyotat, Nathalie Streichenberger, Jerome Honnorat, François Cotton.   

Abstract

The aim of our study was to evaluate the role of proton magnetic resonance (MR) spectroscopy and MR perfusion in the follow-up of low-grade gliomas, since conventional MR imaging (MRI) is not reliable in detecting the passage from a low- to high-grade tumor. Twenty-one patients with a World Health Organisation (WHO) grade II glioma were followed up using proton MR spectroscopy, perfusion, and conventional MRIs. Follow-up MRIs had been performed at the third month of evolution and then twice a year, with an average of five MR studies per patient. Five out of the 21 patients had an anaplastic transformation. A choline to creatine ratio (choline/creatine ratio) above 2.4 is associated with an 83% risk of a malignant transformation in an average delay of 15.4 months. The choline/creatine ratio at this threshold was more efficient than perfusion MR in detecting the anaplastic transformation, with sensitivity of 80% and specificity of 94%. An increased choline/creatine ratio seemed to occur an average 15 months before the elevation of relative cerebral blood volume (rCBV). The mean annual growth of low-grade glioma was 3.65 mm. A growth rate higher than 3 mm per year was also correlated with greater risk of anaplastic transformation. Proton magnetic resonance spectroscopy should be recommended in the follow-up of low-grade gliomas since the choline/creatine ratio can predict anaplastic transformation before perfusion abnormalities, with high positive predictive value of 83%.

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Year:  2009        PMID: 19727562     DOI: 10.1007/s11060-009-9991-4

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  29 in total

1.  High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2.

Authors:  H S Seo; K-H Chang; D G Na; B J Kwon; D H Lee
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-07       Impact factor: 3.825

2.  Can tumor contrast enhancement be used as a criterion for differentiating tumor grades of oligodendrogliomas?

Authors:  Matthew L White; Yan Zhang; Patricia Kirby; Timothy C Ryken
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

3.  Cerebral blood volume measurements and proton MR spectroscopy in grading of oligodendroglial tumors.

Authors:  M Vittoria Spampinato; J Keith Smith; Lester Kwock; Matthew Ewend; John D Grimme; Daniel L A Camacho; Mauricio Castillo
Journal:  AJR Am J Roentgenol       Date:  2007-01       Impact factor: 3.959

4.  Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma.

Authors:  R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger
Journal:  J Neurooncol       Date:  2000-12       Impact factor: 4.130

5.  Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas.

Authors:  Tracy R McKnight; Kathleen R Lamborn; Tonya D Love; Mitchel S Berger; Susan Chang; William P Dillon; Andrew Bollen; Sarah J Nelson
Journal:  J Neurosurg       Date:  2007-04       Impact factor: 5.115

6.  Diagnostic, treatment, and demographic factors influencing survival in a population-based study of adult glioma patients in the San Francisco Bay Area.

Authors:  Margaret Wrensch; Terri Rice; Rei Miike; Alex McMillan; Kathleen R Lamborn; Kenneth Aldape; Michael D Prados
Journal:  Neuro Oncol       Date:  2006-01       Impact factor: 12.300

Review 7.  The WHO classification of tumors of the nervous system.

Authors:  Paul Kleihues; David N Louis; Bernd W Scheithauer; Lucy B Rorke; Guido Reifenberger; Peter C Burger; Webster K Cavenee
Journal:  J Neuropathol Exp Neurol       Date:  2002-03       Impact factor: 3.685

8.  Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; T Hirai; T Okuda; Y Shigematsu; L Liang; Y Ge; Y Ushio; M Takahashi
Journal:  AJR Am J Roentgenol       Date:  1998-12       Impact factor: 3.959

9.  Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation?

Authors:  Nasuda Danchaivijitr; Adam D Waldman; Daniel J Tozer; Christopher E Benton; Gisele Brasil Caseiras; Paul S Tofts; Jeremy H Rees; H Rolf Jäger
Journal:  Radiology       Date:  2008-04       Impact factor: 11.105

10.  Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.

Authors:  E J Lee; S K Lee; R Agid; J M Bae; A Keller; K Terbrugge
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

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  30 in total

1.  Improving the time-machine: estimating date of birth of grade II gliomas.

Authors:  C Gerin; J Pallud; B Grammaticos; E Mandonnet; C Deroulers; P Varlet; L Capelle; L Taillandier; L Bauchet; H Duffau; M Badoual
Journal:  Cell Prolif       Date:  2011-12-14       Impact factor: 6.831

2.  Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research.

Authors:  Mikhail Milchenko; Abraham Z Snyder; Pamela LaMontagne; Joshua S Shimony; Tammie L Benzinger; Sarah Jost Fouke; Daniel S Marcus
Journal:  Neuroinformatics       Date:  2016-07

3.  Velocity of tumor spontaneous expansion predicts long-term outcomes for diffuse low-grade gliomas.

Authors:  Johan Pallud; Marie Blonski; Emmanuel Mandonnet; Etienne Audureau; Denys Fontaine; Nader Sanai; Luc Bauchet; Philippe Peruzzi; Marc Frénay; Philippe Colin; Rémy Guillevin; Valérie Bernier; Marie-Hélène Baron; Jacques Guyotat; Hugues Duffau; Luc Taillandier; Laurent Capelle
Journal:  Neuro Oncol       Date:  2013-02-07       Impact factor: 12.300

Review 4.  'Low grade glioma': an update for radiologists.

Authors:  Jennifer Larsen; Steve B Wharton; Fiona McKevitt; Charles Romanowski; Caroline Bridgewater; Hesham Zaki; Nigel Hoggard
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

5.  Is a prospective trial necessary to suggest a clinical relevance?

Authors:  Johan Pallud; Hugues Duffau
Journal:  Neuro Oncol       Date:  2014-08-05       Impact factor: 12.300

6.  Imaging growth as a predictor of grade of malignancy and aggressiveness of IDH-mutant and 1p/19q-codeleted oligodendrogliomas in adults.

Authors:  Alexandre Roux; Arnault Tauziede-Espariat; Marc Zanello; Sophie Peeters; Gilles Zah-Bi; Eduardo Parraga; Myriam Edjlali; Emmanuèle Lechapt; Natalia Shor; Luisa Bellu; Giulia Berzero; Didier Dormont; Edouard Dezamis; Fabrice Chretien; Catherine Oppenheim; Marc Sanson; Pascale Varlet; Laurent Capelle; Frédéric Dhermain; Johan Pallud
Journal:  Neuro Oncol       Date:  2020-07-07       Impact factor: 12.300

7.  Advanced MRI may complement histological diagnosis of lower grade gliomas and help in predicting survival.

Authors:  Valeria Cuccarini; A Erbetta; M Farinotti; L Cuppini; F Ghielmetti; B Pollo; F Di Meco; M Grisoli; G Filippini; G Finocchiaro; M G Bruzzone; M Eoli
Journal:  J Neurooncol       Date:  2016-01       Impact factor: 4.130

8.  Microfoci of malignant progression in diffuse low-grade gliomas: towards the creation of an intermediate grade in glioma classification?

Authors:  Zoé Pedeutour-Braccini; Fanny Burel-Vandenbos; Catherine Gozé; Coralie Roger; Audrey Bazin; Valérie Costes-Martineau; Hugues Duffau; Valérie Rigau
Journal:  Virchows Arch       Date:  2015-01-21       Impact factor: 4.064

Review 9.  Management of low-grade glioma.

Authors:  Nader Pouratian; David Schiff
Journal:  Curr Neurol Neurosci Rep       Date:  2010-05       Impact factor: 5.081

Review 10.  Awake surgery for hemispheric low-grade gliomas: oncological, functional and methodological differences between pediatric and adult populations.

Authors:  Gianluca Trevisi; Thomas Roujeau; Hugues Duffau
Journal:  Childs Nerv Syst       Date:  2016-09-20       Impact factor: 1.475

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