Literature DB >> 22688826

Secondary MRI-findings, volumetric and spectroscopic measurements in mesial temporal sclerosis: a multivariate discriminant analysis.

Maria Luisa Lopez-Acevedo1, Manuel Martinez-Lopez, Rafael Favila, Ernesto Roldan-Valadez.   

Abstract

INTRODUCTION: Primary- and secondary MR findings, volumetric measurements and MR spectroscopy data of each hippocampus represent more a dozen of variables that radiologists should consider in a quantitative MR report of temporal lobe epilepsy (TLE). There is a paucity of data about the significance of secondary MR findings simultaneously evaluated with volumetry and MR spectroscopy. We analyzed the influence of qualitative-secondary MR findings simultaneously with quantitative (volumetry and spectroscopy) data in MRI positive- and negative patients with mesial temporal sclerosis (MTS).
METHODS: Analytic and transversal study of 59 patients with TLE and suspiciousness of MTS. 13 variables were analyzed for each hippocampus: age, gender, cerebral hemisphere, temporal lobe atrophy, choroidal fissure dilatation, mamillary body atrophy, collateral white matter atrophy, fornix asymmetry; Naa/Cr, Cho/Cr, mI/Cr, Naa/(Cr+Cho); and hippocampus volume (mm3). Multivariate discriminant analysis (DA) was performed with the aim to identify specific morphologic and metabolic attributes in hippocampi with and without MTS.
RESULTS: Discriminant function significantly differentiated the hippocampi with- and without MTS (Wilks' λ = 0.211, χ2 (11) = 116.072, p = < .001. The model explained 79.03% of the variation in the grouping variable. The pooled within-groups correlations showed the highest influence of discriminating function for the secondary MR findings over metabolite indices and hippocampal volumes, the overall predictive accuracy was 93.9%. DISCUSSION: Due of the large number of variables (qualitative and quantitative) to which a radiologist is exposed in a conventional hippocampal MR-report, such evaluation might benefit from the use of predictive models generated by unconventional statistical methods, such as DA.

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Year:  2012        PMID: 22688826     DOI: 10.4414/smw.2012.13549

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  8 in total

1.  Lateralization of temporal lobe epilepsy using a novel uncertainty analysis of MR diffusion in hippocampus, cingulum, and fornix, and hippocampal volume and FLAIR intensity.

Authors:  Mohammad-Reza Nazem-Zadeh; Jason M Schwalb; Kost V Elisevich; Hassan Bagher-Ebadian; Hajar Hamidian; Ali-Reza Akhondi-Asl; Kourosh Jafari-Khouzani; Hamid Soltanian-Zadeh
Journal:  J Neurol Sci       Date:  2014-05-16       Impact factor: 3.181

2.  Lateralization of temporal lobe epilepsy by imaging-based response-driven multinomial multivariate models.

Authors:  Mohammad-Reza Nazem-Zadeh; Jason M Schwalb; Hassan Bagher-Ebadian; Fariborz Mahmoudi; Mohammad-Parsa Hosseini; Kourosh Jafari-Khouzani; Kost V Elisevich; Hamid Soltanian-Zadeh
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

3.  Lateralization of temporal lobe epilepsy by multimodal multinomial hippocampal response-driven models.

Authors:  Mohammad-Reza Nazem-Zadeh; Kost V Elisevich; Jason M Schwalb; Hassan Bagher-Ebadian; Fariborz Mahmoudi; Hamid Soltanian-Zadeh
Journal:  J Neurol Sci       Date:  2014-09-28       Impact factor: 3.181

4.  Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach.

Authors:  Ernesto Roldan-Valadez; Camilo Rios; David Cortez-Conradis; Rafael Favila; Sergio Moreno-Jimenez
Journal:  Radiol Oncol       Date:  2014-04-25       Impact factor: 2.991

Review 5.  Imaging methods used in the assessment of environmental disease networks: a brief review for clinicians.

Authors:  Aime Cedillo-Pozos; Sergey K Ternovoy; Ernesto Roldan-Valadez
Journal:  Insights Imaging       Date:  2020-02-07

6.  Comparison of multimodal findings on epileptogenic side in temporal lobe epilepsy using self-organizing maps.

Authors:  Alireza Fallahi; Mohammad Pooyan; Jafar Mehvari Habibabadi; Mohammad-Reza Nazem-Zadeh
Journal:  MAGMA       Date:  2021-08-04       Impact factor: 2.310

7.  Predicting the laterality of temporal lobe epilepsy from PET, MRI, and DTI: A multimodal study.

Authors:  Dorian Pustina; Brian Avants; Michael Sperling; Richard Gorniak; Xiaosong He; Gaelle Doucet; Paul Barnett; Scott Mintzer; Ashwini Sharan; Joseph Tracy
Journal:  Neuroimage Clin       Date:  2015-07-31       Impact factor: 4.881

8.  Detection of partial loss of hippocampal striation at 1.5 Tesla magnetic resonance imaging.

Authors:  Anitha Sen; Sudhakaran Sankaran
Journal:  Insights Imaging       Date:  2019-10-26
  8 in total

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