Literature DB >> 23771168

Quantitative characterization of the imaging limits of diffuse low-grade oligodendrogliomas.

Chloé Gerin1, Johan Pallud, Christophe Deroulers, Pascale Varlet, Catherine Oppenheim, Francois-Xavier Roux, Fabrice Chrétien, Stephen R Thomas, Basile Grammaticos, Mathilde Badoual.   

Abstract

BACKGROUND: Supratentorial diffuse low-grade gliomas in adults extend beyond maximal visible MRI-defined abnormalities, and a gap exists between the imaging signal changes and the actual tumor margins. Direct quantitative comparisons between imaging and histological analyses are lacking to date. However, they are of the utmost importance if one wishes to develop realistic models for diffuse glioma growth.
METHODS: In this study, we quantitatively compared the cell concentration and the edema fraction from human histological biopsy samples (BSs) performed inside and outside imaging abnormalities during serial imaging-based stereotactic biopsy of diffuse low-grade gliomas.
RESULTS: The cell concentration was significantly higher in BSs located inside (1189 ± 378 cell/mm(2)) than outside (740 ± 124 cell/mm(2)) MRI-defined abnormalities (P = .0003). The edema fraction was significantly higher in BSs located inside (mean, 45% ± 23%) than outside (mean, 5 %± 9%) MRI-defined abnormalities (P < .0001). At borders of the MRI-defined abnormalities, 20% of the tissue surface area was occupied by edema and only 3% by tumor cells. The cycling cell concentration was significantly higher in BSs located inside (10 ± 12 cell/mm(2)), compared with outside (0.5 ± 0.9 cell/mm(2)), MRI-defined abnormalities (P = .0001).
CONCLUSIONS: We showed that the margins of T2-weighted signal changes are mainly correlated with the edema fraction. In 62.5% of patients, the cycling tumor cell fraction (defined as the ratio of the cycling tumor cell concentration to the total number of tumor cells) was higher at the limits of the MRI-defined abnormalities than closer to the center of the tumor. In the remaining patients, the cycling tumor cell fraction increased towards the center of the tumor.

Entities:  

Keywords:  edema; gliomas; histology; magnetic resonance imaging; quantification

Mesh:

Year:  2013        PMID: 23771168      PMCID: PMC3779035          DOI: 10.1093/neuonc/not072

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  33 in total

1.  Chloride accumulation drives volume dynamics underlying cell proliferation and migration.

Authors:  Christa W Habela; Nola Jean Ernest; Amanda F Swindall; Harald Sontheimer
Journal:  J Neurophysiol       Date:  2008-11-26       Impact factor: 2.714

Review 2.  Neuroimaging in neuro-oncology.

Authors:  Soonmee Cha
Journal:  Neurotherapeutics       Date:  2009-07       Impact factor: 7.620

3.  Correlation between magnetic resonance imaging and histopathology of intracranial glioma.

Authors:  T Iwama; H Yamada; N Sakai; T Andoh; T Nakashima; T Hirata; T Funakoshi
Journal:  Neurol Res       Date:  1991-03       Impact factor: 2.448

4.  The pathology of cerebral edema associated with gliomas in man. Report based on ten biopsies.

Authors:  F Aleu; S Samuels; J Ransohoff
Journal:  Am J Pathol       Date:  1966-06       Impact factor: 4.307

5.  Magnetic resonance imaging does not define tumor boundaries.

Authors:  L D Lunsford; A J Martinez; R E Latchaw
Journal:  Acta Radiol Suppl       Date:  1986

6.  Magnetic resonance image registration and subtraction in the assessment of minor changes in low grade glioma volume.

Authors:  S E J Connor; R Gunny; T Hampton; R O'gorman
Journal:  Eur Radiol       Date:  2004-07-14       Impact factor: 5.315

7.  NG2+/Olig2+ cells are the major cycle-related cell population of the adult human normal brain.

Authors:  Sameh Geha; Johan Pallud; Marie-Pierre Junier; Bertrand Devaux; Nadine Leonard; Francine Chassoux; Hervé Chneiweiss; Catherine Daumas-Duport; Pascale Varlet
Journal:  Brain Pathol       Date:  2009-05-22       Impact factor: 6.508

8.  [Biochemical exploration of energetic metabolism and oxidative stress in low grade gliomas: central and peripheral tumor tissue analysis].

Authors:  F Lamari; R La Schiazza; R Guillevin; B Hainque; M-J Foglietti; J-L Beaudeux; M Bernard
Journal:  Ann Biol Clin (Paris)       Date:  2008 Mar-Apr       Impact factor: 0.459

Review 9.  Advances in imaging low-grade gliomas.

Authors:  Stephen J Price
Journal:  Adv Tech Stand Neurosurg       Date:  2010

10.  IDH1 mutations are present in the majority of common adult gliomas but rare in primary glioblastomas.

Authors:  Koichi Ichimura; Danita M Pearson; Sylvia Kocialkowski; L Magnus Bäcklund; Raymond Chan; David T W Jones; V Peter Collins
Journal:  Neuro Oncol       Date:  2009-05-12       Impact factor: 12.300

View more
  11 in total

1.  Conventional and advanced (DTI/SWI) neuroimaging findings in pediatric oligodendroglioma.

Authors:  Matthias W Wagner; Andrea Poretti; Thierry A G M Huisman; Thangamadhan Bosemani
Journal:  Childs Nerv Syst       Date:  2015-03-27       Impact factor: 1.475

2.  Imaging of gliomas at 1.5 and 3 Tesla - A comparative study.

Authors:  Lambros Tselikas; Raphaëlle Souillard-Scemama; Olivier Naggara; Charles Mellerio; Pascale Varlet; Edouard Dezamis; Julien Domont; Frédéric Dhermain; Bertrand Devaux; Fabrice Chrétien; Jean-François Meder; Johan Pallud; Catherine Oppenheim
Journal:  Neuro Oncol       Date:  2014-12-18       Impact factor: 12.300

Review 3.  Seizures and gliomas--towards a single therapeutic approach.

Authors:  Gilles Huberfeld; Charles J Vecht
Journal:  Nat Rev Neurol       Date:  2016-03-11       Impact factor: 42.937

4.  Oedema-based model for diffuse low-grade gliomas: application to clinical cases under radiotherapy.

Authors:  M Badoual; C Gerin; C Deroulers; B Grammaticos; J-F Llitjos; C Oppenheim; P Varlet; J Pallud
Journal:  Cell Prolif       Date:  2014-06-19       Impact factor: 6.831

Review 5.  Extent of resection in diffuse low-grade gliomas and the role of tumor molecular signature-a systematic review of the literature.

Authors:  Lucas Alverne F Albuquerque; João Paulo Almeida; Leonardo José Monteiro de Macêdo Filho; Andrei F Joaquim; Hugues Duffau
Journal:  Neurosurg Rev       Date:  2020-08-07       Impact factor: 3.042

6.  Analyzing huge pathology images with open source software.

Authors:  Christophe Deroulers; David Ameisen; Mathilde Badoual; Chloé Gerin; Alexandre Granier; Marc Lartaud
Journal:  Diagn Pathol       Date:  2013-06-06       Impact factor: 2.644

7.  Diffusion Kurtosis Imaging of Gliomas Grades II and III - A Study of Perilesional Tumor Infiltration, Tumor Grades and Subtypes at Clinical Presentation.

Authors:  Anna F Delgado; Markus Fahlström; Markus Nilsson; Shala G Berntsson; Maria Zetterling; Sylwia Libard; Irina Alafuzoff; Danielle van Westen; Jimmy Lätt; Anja Smits; Elna-Marie Larsson
Journal:  Radiol Oncol       Date:  2017-02-15       Impact factor: 2.991

8.  Modeling the dynamics of oligodendrocyte precursor cells and the genesis of gliomas.

Authors:  Aloys Dufour; Emilie Gontran; Christophe Deroulers; Pascale Varlet; Johan Pallud; Basile Grammaticos; Mathilde Badoual
Journal:  PLoS Comput Biol       Date:  2018-03-28       Impact factor: 4.475

9.  Preoperative Quantitative MR Tractography Compared with Visual Tract Evaluation in Patients with Neuropathologically Confirmed Gliomas Grades II and III: A Prospective Cohort Study.

Authors:  Anna F Delgado; Markus Nilsson; Francesco Latini; Johanna Mårtensson; Maria Zetterling; Shala G Berntsson; Irina Alafuzoff; Jimmy Lätt; Elna-Marie Larsson
Journal:  Radiol Res Pract       Date:  2016-04-17

10.  A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.

Authors:  Magdalena U Bogdańska; Marek Bodnar; Monika J Piotrowska; Michael Murek; Philippe Schucht; Jürgen Beck; Alicia Martínez-González; Víctor M Pérez-García
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.