5 results match your criteria Imaging in Gliobastoma Multiforme

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Rare case of glioblastoma multiforme located in posterior corpus callosum presenting with depressive symptoms and visual memory deficits.

BMJ Case Rep 2016 Dec 15;2016. Epub 2016 Dec 15.

Department of Neurosurgery, Koç University, School of Medicine, İstanbul, Turkey.

Most of the primary brain tumours are located in the supratentorial region, and it is uncommon to see tumour growth on deep brain structures such as posterior corpus callosum (PCC). In addition, lesions in PCC are also difficult to recognise, because construction apraxia, visuospatial perception and attentional capacity impairment may be the only presenting symptoms. Here, we represent a rare case of gliobastoma multiforme located in PCC, which solely presents with depressive symptoms and visual memory deficits. Read More

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http://dx.doi.org/10.1136/bcr-2016-216505DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175008PMC
December 2016
18 Reads

Demonstration of Non-Gaussian Restricted Diffusion in Tumor Cells Using Diffusion Time-Dependent Diffusion-Weighted Magnetic Resonance Imaging Contrast.

Front Oncol 2016 2;6:179. Epub 2016 Aug 2.

Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.

The diffusion-weighted magnetic resonance imaging (DWI) technique enables quantification of water mobility for probing microstructural properties of biological tissue and has become an effective tool for collecting information about the underlying pathology of cancerous tissue. Measurements using multiple b-values have indicated biexponential signal attenuation, ascribed to "fast" (high ADC) and "slow" (low ADC) diffusion components. In this empirical study, we investigate the properties of the diffusion time (Δ)-dependent components of the diffusion-weighted (DW) signal in a constant b-value experiment. Read More

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http://dx.doi.org/10.3389/fonc.2016.00179DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970563PMC
August 2016
29 Reads

Neuromorphometry of primary brain tumors by magnetic resonance imaging.

J Med Imaging (Bellingham) 2015 Apr 12;2(2):024503. Epub 2015 May 12.

Centro Neurológico-Centro Médico ABC , Avenue Carlos Graef Fernandez 154 Col. Tlaxala, Distrito Federal 05300, Mexico.

Magnetic resonance imaging is a technique for the diagnosis and classification of brain tumors. Discrete compactness is a morphological feature of two-dimensional and three-dimensional objects. This measure determines the compactness of a discretized object depending on the sum of the areas of the connected voxels and has been used for understanding the morphology of nonbrain tumors. Read More

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http://dx.doi.org/10.1117/1.JMI.2.2.024503DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478878PMC
April 2015
11 Reads

Primary glioblastoma of the cerebellum in a 19-year-old woman: a case report.

J Med Case Rep 2012 Oct 2;6:329. Epub 2012 Oct 2.

Department of Neurosurgery, Avicenne University Hospital, Lamfadel Cherkaoui Street, BP 6527, Rabat, Morocco.

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Introduction: Cerebellar glioblastoma is an uncommon adult lesion. The pathogeny and prognosis of cerebellar glioblastoma are still incompletely elucidated.

Case Presentation: We report the case of a 19-year-old Moroccan woman. Read More

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http://dx.doi.org/10.1186/1752-1947-6-329DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538693PMC
October 2012
7 Reads

COMPARISON OF SPARSE CODING AND KERNEL METHODS FOR HISTOPATHOLOGICAL CLASSIFICATION OF GLIOBASTOMA MULTIFORME.

Proc IEEE Int Symp Biomed Imaging 2011 Jun;2011:711-714

Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, U.S.A.

This paper compares performance of redundant representation and sparse coding against classical kernel methods for classifying histological sections. Sparse coding has been proven to be an effective technique for restoration, and has recently been extended to classification. The main issue with classification of histology sections is inherent heterogeneity as a result of technical and biological variations. Read More

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http://vision.lbl.gov/Publications/ISBI2011/ISBI11final.pdf
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http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe
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http://dx.doi.org/10.1109/ISBI.2011.5872505DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521607PMC
June 2011
7 Reads
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