Evidence map›Paper›PMID 26032924›Full record

ArticleNeuroradiology2015

MRI characterization of temporal lobe epilepsy using rapidly measurable spatial indices with hemisphere asymmetries and gender features.

Siddhartha Datta, Sudipta Sarkar, Sumit Chakraborty, Sai Krishna Mulpuru, Swadhapriya Basu, Basant K Tiwary, Nilkanta Chakrabarti, Prasun Kumar Roy

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Article in Neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Siddhartha DattaDepartment of Physiology and UGC-CPEPA Centre for "Electro-physiological and Neuro-imaging studies including Mathematical Modelling", University of Calcutta, 92 APC Road, Kolkata, 700009, India.
Sudipta SarkarDepartment of Radiodiagnosis, IPGME&R, SSKM Hospital, Kolkata, India.
Sumit ChakrabortyDepartment of Radiodiagnosis, IPGME&R, SSKM Hospital, Kolkata, India.
Sai Krishna MulpuruNational Neuro-Imaging Facility, National Brain Research Centre, Manesar, India.
Swadhapriya BasuDepartment of Radiodiagnosis, IPGME&R, SSKM Hospital, Kolkata, India.
Basant K TiwaryCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India.
Nilkanta ChakrabartiDepartment of Physiology and UGC-CPEPA Centre for "Electro-physiological and Neuro-imaging studies including Mathematical Modelling", University of Calcutta, 92 APC Road, Kolkata, 700009, India. ncphysiolcu@gmail.com.
Prasun Kumar RoyComputational Neuroimaging Division, National Brain Research Centre, Manesar, India.
Medical College and Hospital, Kolkata · INNational Brain Research Centre · INUniversity of Calcutta · INInstitute of Post Graduate Medical Education and Research · INPondicherry University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe paucity of morphometric markers for hemispheric asymmetries and gender variations in hippocampi and amygdalae in temporal lobe epilepsy (TLE) calls for better characterization of TLE by finding more useful prognostic MRI parameter(s).

methodsT1-weighted MRI (3 T) morphometry using multiple parameters of hippocampus-parahippocampus (angular and linear measures, volumetry) and amygdalae (volumetry) including their hemispheric asymmetry indices (AI) were evaluated in both genders. The cutoff values of parameters were statistically estimated from measurements of healthy subjects to characterize TLE (57 patients, 55% male) alterations.

resultsTLE had differential categories with hippocampal atrophy, parahippocampal angle (PHA) acuteness, and several other parametric changes. Bilateral TLE categories were much more prevalent compared to unilateral TLE categories. Female patients were considerably more disposed to bilateral TLE categories than male patients. Male patients displayed diverse categories of unilateral abnormalities. Few patients (both genders) had combined bilateral appearances of hippocampal atrophy, amygdala atrophy, PHA acuteness, and increase in hippocampal angle (HA) where medial distance ratio (MDR) varied among genders. TLE had gender-specific and hemispheric dominant alterations in AI of parameters. Maximum magnitude of parametric changes in TLE includes (a) AI increase in HA of both genders, (b) HA increase (bilateral) in female patients, and (c) increase in ratio of amygdale/hippocampal volume (unilateral, right hemispheric), and AI decrease in MDR, in male patients.

conclusionMultiparametric MRI studies of hippocampus and amygdalae, including their hemispheric asymmetry, underscore better characterization of TLE. Rapidly measurable single-slice parameters (HA, PHA, MDR) can readily delineate TLE in a time-constrained clinical setting, which contrasts with customary three-dimensional hippocampal volumetry that requires many slice computation.

Indexed as

AdultAmygdalaBayes TheoremCase-Control StudiesEpilepsy, Temporal LobeFemaleHippocampusHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleReproducibility of ResultsSex FactorsAmygdalaHemispheric asymmetryHippocampusMRI morphometryTLE

Identifiers

PMID26032924
OpenAlexW1516570357

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.