Literature DB >> 19269145

Stereological evaluation of the volume and volume fraction of intracranial structures in magnetic resonance images of patients with Alzheimer's disease.

Orhan Bas1, Niyazi Acer, Nuket Mas, Hamit Selim Karabekir, Ozge Yilmaz Kusbeci, Bunyamin Sahin.   

Abstract

In this study, we describe and adapt the relevant methods of magnetic resonance (MR) and stereology to estimate total brain volume (TBV), cerebral and cerebellar volume and their volume fractions within the brain. The study included 15 (8 males, 7 females) controls and 15 (8 males, 7 females) patients with Alzheimer's disease. The patients' MR images were obtained in both sagittal and axial planes. The volume and volume fraction of the total brain, cerebrum and cerebellum were determined on MR images using the point-counting approach of stereological methods. The volume fractions of the cerebrum to TBV and cerebellum to TBV in the control group were 66.38% and 67.87% in axial and sagittal planes, and 12.05% and 12.81% in axial and sagittal planes, respectively. The volume fractions of the cerebrum to TBV and cerebellum to TBV in the Alzheimer group were 52.40% and 56.26% in axial and sagittal planes, and 10.00% and 10.38% in axial and sagittal planes, respectively. The Alzheimer subjects showed significantly lower cerebral and cerebellar volume fraction to TBV than the control subjects (p<0.001). No significant difference was found in either group with regard to gender or planes (p>0.05). The present evaluation of TBV, cerebral and cerebellar volume and volume fractions can be done on any complete set of MR imaging, in which the plane scan distance and magnification factor are known, as they are in MRI. In conclusion, the cerebral and cerebellar to TBV volume fractions can be important tools in determining brain atrophy and can be estimated by the stereological method.

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Year:  2009        PMID: 19269145     DOI: 10.1016/j.aanat.2008.12.003

Source DB:  PubMed          Journal:  Ann Anat        ISSN: 0940-9602            Impact factor:   2.698


  8 in total

1.  Estimation of the brain stem volume by stereological method on magnetic resonance imaging.

Authors:  Hulya Erbagci; Munevver Keser; Selim Kervancioglu; Nese Kizilkan
Journal:  Surg Radiol Anat       Date:  2012-04-19       Impact factor: 1.246

2.  Consensus paper: radiological biomarkers of cerebellar diseases.

Authors:  Leonardo Baldarçara; Stuart Currie; M Hadjivassiliou; Nigel Hoggard; Allison Jack; Andrea P Jackowski; Mario Mascalchi; Cecilia Parazzini; Kathrin Reetz; Andrea Righini; Jörg B Schulz; Alessandra Vella; Sara Jane Webb; Christophe Habas
Journal:  Cerebellum       Date:  2015-04       Impact factor: 3.847

3.  A novel application for the cavalieri principle: a stereological and methodological study.

Authors:  Berrin Zuhal Altunkaynak; Eyup Altunkaynak; Deniz Unal; Bunyamin Unal
Journal:  Eurasian J Med       Date:  2009-08

4.  Excitability and synaptic alterations in the cerebellum of APP/PS1 mice.

Authors:  Eriola Hoxha; Enrica Boda; Francesca Montarolo; Roberta Parolisi; Filippo Tempia
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

5.  Volume estimation of the thalamus using freesurfer and stereology: consistency between methods.

Authors:  Simon S Keller; Jan S Gerdes; Siawoosh Mohammadi; Christoph Kellinghaus; Harald Kugel; Katja Deppe; E Bernd Ringelstein; Stefan Evers; Wolfram Schwindt; Michael Deppe
Journal:  Neuroinformatics       Date:  2012-10

6.  Analysis of the volumes of the posterior cranial fossa, cerebellum, and herniated tonsils using the stereological methods in patients with Chiari type I malformation.

Authors:  Ümit Erkan Vurdem; Niyazi Acer; Tolga Ertekin; Ahmet Savranlar; Mehmet Fatih Inci
Journal:  ScientificWorldJournal       Date:  2012-05-02

7.  Altered Functional Connectivity of Cognitive-Related Cerebellar Subregions in Alzheimer's Disease.

Authors:  Weimin Zheng; Xingyun Liu; Haiqing Song; Kuncheng Li; Zhiqun Wang
Journal:  Front Aging Neurosci       Date:  2017-05-16       Impact factor: 5.750

8.  Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction.

Authors:  Weimin Zheng; Bin Cui; Zeyu Sun; Xiuli Li; Xu Han; Yu Yang; Kuncheng Li; Lingjing Hu; Zhiqun Wang
Journal:  Aging (Albany NY)       Date:  2020-04-05       Impact factor: 5.682

  8 in total

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