Literature DB >> 24722313

Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma: radiologic-pathologic correlation.

P Kickingereder1, F Sahm2, B Wiestler3, M Roethke4, S Heiland5, H-P Schlemmer4, W Wick3, A von Deimling2, M Bendszus5, A Radbruch6.   

Abstract

BACKGROUND AND
PURPOSE: Dynamic contrast-enhanced MR imaging can provide in vivo assessment of the microvasculature in intracranial tumors. The aim of the present study was to evaluate the diagnostic performance of dynamic contrast-enhanced MR imaging derived vascular permeability parameters, including the volume transfer constant, the volume of extravascular extracellular space, and the flux rate constant between the extravascular extracellular space and plasma, for the differentiation of primary CNS lymphoma and glioblastoma.
MATERIALS AND METHODS: Sixty glioblastomas and 11 primary central nervous system lymphomas were included. Pretreatment T1-weighted dynamic contrast-enhanced MR imaging with a 3D T1-weighted spoiled gradient-echo sequence was performed on a 3T MR imaging scanner. Perfusion parameters (volume transfer constant, the volume of extravascular extracellular space, and the flux rate constant) were measured on the basis of the Tofts-Kernmode model. The Mann-Whitney U test and receiver operating characteristic analysis were used to compare those parameters between primary central nervous system lymphoma and glioblastoma. Histopathologic correlation of dynamic contrast-enhanced MR imaging findings was performed by using reticulin staining and CD31 immunohistochemistry.
RESULTS: Median volume transfer constant and flux rate constant values were significantly higher in primary central nervous system lymphoma (0.145 ± 0.057 and 0.396 ± 0.088) than in glioblastoma (0.064 ± 0.021 and 0.230 ± 0.058) (P < .001, respectively). Median volume of extravascular extracellular space values did not differ significantly between primary central nervous system lymphoma (0.434 ± 0.165) and glioblastoma (0.319 ± 0.107). On receiver operating characteristic analysis, volume transfer constant had the best discriminative value for differentiating primary central nervous system lymphoma and glioblastoma (threshold, 0.093; sensitivity, 90.9%; specificity, 95.0%). Histopathologic evaluation revealed intact vascular integrity in glioblastoma despite endothelial proliferation, whereas primary central nervous system lymphoma demonstrated destroyed vessel architecture, thereby promoting vascular disintegrity.
CONCLUSIONS: Primary central nervous system lymphoma demonstrated significantly higher volume transfer constant and flux rate constant values compared with glioblastoma, implying a higher vascular permeability in primary central nervous system lymphoma. These findings confirm initial observations from perfusion CT and dynamic contrast-enhanced MR imaging studies, correlating with underlying histopathologic features, and may be useful in distinguishing primary central nervous system lymphoma from glioblastoma.
© 2014 by American Journal of Neuroradiology.

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Year:  2014        PMID: 24722313      PMCID: PMC7964431          DOI: 10.3174/ajnr.A3915

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  27 in total

1.  Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts.

Authors:  P S Tofts; A G Kermode
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

Review 2.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

3.  Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas.

Authors:  T B Nguyen; G O Cron; J F Mercier; C Foottit; C H Torres; S Chakraborty; J Woulfe; G H Jansen; J M Caudrelier; J Sinclair; M J Hogan; R E Thornhill; I G Cameron
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-22       Impact factor: 3.825

4.  The blood-brain barrier in primary CNS lymphomas: ultrastructural evidence of endothelial cell death.

Authors:  P P Molnár; B P O'Neill; B W Scheithauer; D R Groothuis
Journal:  Neuro Oncol       Date:  1999-04       Impact factor: 12.300

5.  T1- and T2*-dominant extravasation correction in DSC-MRI: part I--theoretical considerations and implications for assessment of tumor hemodynamic properties.

Authors:  Atle Bjornerud; A Gregory Sorensen; Kim Mouridsen; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2011-04-20       Impact factor: 6.200

6.  The Role of preload and leakage correction in gadolinium-based cerebral blood volume estimation determined by comparison with MION as a criterion standard.

Authors:  J L Boxerman; D E Prah; E S Paulson; J T Machan; D Bedekar; K M Schmainda
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-09       Impact factor: 3.825

Review 7.  Central nervous system lymphoma.

Authors:  Andrew Lister; Lauren E Abrey; John T Sandlund
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2002

8.  A "vascular normalization index" as potential mechanistic biomarker to predict survival after a single dose of cediranib in recurrent glioblastoma patients.

Authors:  A Gregory Sorensen; Tracy T Batchelor; Wei-Ting Zhang; Poe-Jou Chen; Priscilla Yeo; Meiyun Wang; Dominique Jennings; Patrick Y Wen; Johanna Lahdenranta; Marek Ancukiewicz; Emmanuelle di Tomaso; Dan G Duda; Rakesh K Jain
Journal:  Cancer Res       Date:  2009-06-23       Impact factor: 12.701

9.  Measurement of blood-brain barrier permeability with t1-weighted dynamic contrast-enhanced MRI in brain tumors: a comparative study with two different algorithms.

Authors:  Maurizio Bergamino; Laura Saitta; Laura Barletta; Laura Bonzano; Giovanni Luigi Mancardi; Lucio Castellan; Jean Louis Ravetti; Luca Roccatagliata
Journal:  ISRN Neurosci       Date:  2013-02-20

Review 10.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2007-07-06       Impact factor: 17.088

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  30 in total

1.  Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.

Authors:  Hie Bum Suh; Yoon Seong Choi; Sohi Bae; Sung Soo Ahn; Jong Hee Chang; Seok-Gu Kang; Eui Hyun Kim; Se Hoon Kim; Seung-Koo Lee
Journal:  Eur Radiol       Date:  2018-04-06       Impact factor: 5.315

2.  Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.

Authors:  Ji Ye Lee; Atle Bjørnerud; Ji Eun Park; Bo Eun Lee; Joo Hyun Kim; Ho Sung Kim
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

3.  Comparison of Dynamic Contrast-Enhancement Parameters between Gadobutrol and Gadoterate Meglumine in Posttreatment Glioma: A Prospective Intraindividual Study.

Authors:  J E Park; J Y Kim; H S Kim; W H Shim
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-15       Impact factor: 3.825

4.  The Combined Performance of ADC, CSF CXC Chemokine Ligand 13, and CSF Interleukin 10 in the Diagnosis of Central Nervous System Lymphoma.

Authors:  M C Mabray; R F Barajas; J E Villanueva-Meyer; C A Zhang; F E Valles; J L Rubenstein; S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-17       Impact factor: 3.825

Review 5.  Methods and challenges in quantitative imaging biomarker development.

Authors:  Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Leon Lenchik; Rathan M Subramaniam
Journal:  Acad Radiol       Date:  2015-01       Impact factor: 3.173

6.  Diagnostic delay and prognosis in primary central nervous system lymphoma compared with glioblastoma multiforme.

Authors:  R Cerqua; S Balestrini; C Perozzi; V Cameriere; S Renzi; G Lagalla; G Mancini; M Montanari; P Leoni; M Scerrati; M Iacoangeli; M Silvestrini; S Luzzi; L Provinciali
Journal:  Neurol Sci       Date:  2015-08-02       Impact factor: 3.307

7.  Reproducibility and relative stability in magnetic resonance imaging indices of tumor vascular physiology over a period of 24h in a rat 9L gliosarcoma model.

Authors:  Tavarekere N Nagaraja; Rasha Elmghirbi; Stephen L Brown; Lonni R Schultz; Ian Y Lee; Kelly A Keenan; Swayamprava Panda; Glauber Cabral; Tom Mikkelsen; James R Ewing
Journal:  Magn Reson Imaging       Date:  2017-09-05       Impact factor: 2.546

8.  Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma.

Authors:  X Lin; M Lee; O Buck; K M Woo; Z Zhang; V Hatzoglou; A Omuro; J Arevalo-Perez; A A Thomas; J Huse; K Peck; A I Holodny; R J Young
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-08       Impact factor: 3.825

9.  Dynamic Contrast-Enhanced MRI in Low-Grade Versus Anaplastic Oligodendrogliomas.

Authors:  Julio Arevalo-Perez; Amanuel A Kebede; Kyung K Peck; Eli Diamond; Andrei I Holodny; Marc Rosenblum; Jennifer Rubel; Joshua Gaal; Vaios Hatzoglou
Journal:  J Neuroimaging       Date:  2015-12-26       Impact factor: 2.486

10.  Differentiation between primary CNS lymphoma and glioblastoma: qualitative and quantitative analysis using arterial spin labeling MR imaging.

Authors:  Sung-Hye You; Tae Jin Yun; Hye Jeong Choi; Roh-Eul Yoo; Koung Mi Kang; Seung Hong Choi; Ji-Hoon Kim; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2018-04-04       Impact factor: 5.315

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