Literature DB >> 2535765

Human cerebral gliomas: correlation of postmortem MR imaging and neuropathologic findings.

P C Johnson1, S J Hunt, B P Drayer.   

Abstract

Findings from T2-weighted magnetic resonance (MR) images obtained of postmortem, in vitro human brain glioma specimens were correlated with histologic findings from whole-brain sections. Eighteen cases were categorized as untreated (n = 6), in remission after surgery and radiation therapy (n = 2), or recurrent (n = 10). Findings from MR images generally correlated well with the histologic extent of untreated tumors in white matter; the heterogeneous appearance of glioblastomas multiforme distinguished them from less malignant gliomas. Subpial spread and tumor in the subarachnoid space were not visualized. The extent of tumors in remission was overestimated on MR images because of the extensive surrounding edema and radiation necrosis. MR imaging findings correlated well with those from 48% of brain slices, but resulted in overestimations (24%) or underestimations (28%) of tumor extent in the ten cases of recurrent tumor. The results suggest that information concerning the patient's stage of disease is important in interpreting MR images of gliomas.

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Year:  1989        PMID: 2535765     DOI: 10.1148/radiology.170.1.2535765

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  36 in total

1.  Estimation of tumor volume with fuzzy-connectedness segmentation of MR images.

Authors:  Gul Moonis; Jianguo Liu; Jayaram K Udupa; David B Hackney
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

2.  Role of intraoperative ultrasound in resection of pediatric brain tumors.

Authors:  Mohamed Ahmed El Beltagy; Mohamed Aggag; Mohamed Kamal
Journal:  Childs Nerv Syst       Date:  2010-02-24       Impact factor: 1.475

Review 3.  Neuro-oncology index and review (adult primary brain tumors). Radiotherapy, chemotherapy, immunotherapy, photodynamic therapy.

Authors:  M S Mahaley
Journal:  J Neurooncol       Date:  1991-10       Impact factor: 4.130

4.  Correlation of intra-operative ultrasound with histopathologic findings after tumour resection in supratentorial gliomas. A method to improve gross total tumour resection.

Authors:  M Woydt; A Krone; G Becker; K Schmidt; W Roggendorf; K Roosen
Journal:  Acta Neurochir (Wien)       Date:  1996       Impact factor: 2.216

5.  Multifunctional microbubbles and nanobubbles for photoacoustic and ultrasound imaging.

Authors:  Chulhong Kim; Ruogu Qin; Jeff S Xu; Lihong V Wang; Ronald Xu
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

Review 6.  Low grade gliomas: functional mapping resection strategies, extent of resection, and outcome.

Authors:  M S Berger; R C Rostomily
Journal:  J Neurooncol       Date:  1997-08       Impact factor: 4.130

Review 7.  Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas.

Authors:  Nathalie L Albert; Michael Weller; Bogdana Suchorska; Norbert Galldiks; Riccardo Soffietti; Michelle M Kim; Christian la Fougère; Whitney Pope; Ian Law; Javier Arbizu; Marc C Chamberlain; Michael Vogelbaum; Ben M Ellingson; Joerg C Tonn
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

8.  Postmortem MRI of the brain with neuropathological correlation.

Authors:  L van den Hauwe; P M Parizel; J J Martin; P Cras; P De Deyn; A M De Schepper
Journal:  Neuroradiology       Date:  1995-07       Impact factor: 2.804

9.  Intravoxel water diffusion heterogeneity imaging of human high-grade gliomas.

Authors:  Thomas C Kwee; Craig J Galbán; Christina Tsien; Larry Junck; Pia C Sundgren; Marko K Ivancevic; Timothy D Johnson; Charles R Meyer; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  NMR Biomed       Date:  2010-02       Impact factor: 4.044

10.  Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas.

Authors:  Ernesto Roldan-Valadez; Camilo Rios; Daniel Motola-Kuba; Juan Matus-Santos; Antonio R Villa; Sergio Moreno-Jimenez
Journal:  Br J Radiol       Date:  2016-09-14       Impact factor: 3.039

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