Literature DB >> 28632041

Automated volumetry of hippocampus is useful to confirm unilateral mesial temporal sclerosis in patients with radiologically positive findings.

Guilherme Silva1, Cristina Martins2, Nádia Moreira da Silva2, Duarte Vieira1, Dias Costa1, Ricardo Rego3, José Fonseca1, João Paulo Silva Cunha2,4,5.   

Abstract

Background and purpose We evaluated two methods to identify mesial temporal sclerosis (MTS): visual inspection by experienced epilepsy neuroradiologists based on structural magnetic resonance imaging sequences and automated hippocampal volumetry provided by a processing pipeline based on the FMRIB Software Library. Methods This retrospective study included patients from the epilepsy monitoring unit database of our institution. All patients underwent brain magnetic resonance imaging in 1.5T and 3T scanners with protocols that included thin coronal T2, T1 and fluid-attenuated inversion recovery and isometric T1 acquisitions. Two neuroradiologists with experience in epilepsy and blinded to clinical data evaluated magnetic resonance images for the diagnosis of MTS. The diagnosis of MTS based on an automated method included the calculation of a volumetric asymmetry index between the two hippocampi of each patient and a threshold value to define the presence of MTS obtained through statistical tests (receiver operating characteristics curve). Hippocampi were segmented for volumetric quantification using the FIRST tool and fslstats from the FMRIB Software Library. Results The final cohort included 19 patients with unilateral MTS (14 left side): 14 women and a mean age of 43.4 ± 10.4 years. Neuroradiologists had a sensitivity of 100% and specificity of 73.3% to detect MTS (gold standard, k = 0.755). Automated hippocampal volumetry had a sensitivity of 84.2% and specificity of 86.7% (k = 0.704). Combined, these methods had a sensitivity of 84.2% and a specificity of 100% (k = 0.825). Conclusions Automated volumetry of the hippocampus could play an important role in temporal lobe epilepsy evaluation, namely on confirmation of unilateral MTS diagnosis in patients with radiological suggestive findings.

Entities:  

Keywords:  EEG; FLIRT; FSL; MRI; epilepsy

Mesh:

Year:  2017        PMID: 28632041      PMCID: PMC5524280          DOI: 10.1177/1971400917709627

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  34 in total

1.  Bayesian analysis of neuroimaging data in FSL.

Authors:  Mark W Woolrich; Saad Jbabdi; Brian Patenaude; Michael Chappell; Salima Makni; Timothy Behrens; Christian Beckmann; Mark Jenkinson; Stephen M Smith
Journal:  Neuroimage       Date:  2008-11-13       Impact factor: 6.556

2.  Temporal lobe epilepsy: the various MR appearances of histologically proven mesial temporal sclerosis.

Authors:  L C Meiners; A van Gils; G H Jansen; G de Kort; T D Witkamp; L M Ramos; J Valk; R M Debets; A C van Huffelen; C W van Veelen
Journal:  AJNR Am J Neuroradiol       Date:  1994-09       Impact factor: 3.825

3.  Is the type and extent of hippocampal sclerosis measurable on high-resolution MRI?

Authors:  H Urbach; H J Huppertz; R Schwarzwald; A J Becker; J Wagner; M Delsous Bahri; H J Tschampa
Journal:  Neuroradiology       Date:  2014-06-28       Impact factor: 2.804

Review 4.  Clinical MRI in children and adults with focal epilepsy: a critical review.

Authors:  Friedrich G Woermann; Christian Vollmar
Journal:  Epilepsy Behav       Date:  2009-02-21       Impact factor: 2.937

5.  Temporal lobe abnormalities on brain MRI in healthy volunteers: a prospective case-control study.

Authors:  A Labate; A Gambardella; U Aguglia; F Condino; P Ventura; P Lanza; A Quattrone
Journal:  Neurology       Date:  2010-01-20       Impact factor: 9.910

6.  Comparison of automated and manual MRI volumetry of hippocampus in normal aging and dementia.

Authors:  Yuan-Yu Hsu; Norbert Schuff; An-Tao Du; Kevin Mark; Xiaoping Zhu; Dawn Hardin; Michael W Weiner
Journal:  J Magn Reson Imaging       Date:  2002-09       Impact factor: 4.813

7.  In vivo hippocampal measurement and memory: a comparison of manual tracing and automated segmentation in a large community-based sample.

Authors:  Nicolas Cherbuin; Kaarin J Anstey; Chantal Réglade-Meslin; Perminder S Sachdev
Journal:  PLoS One       Date:  2009-04-16       Impact factor: 3.240

8.  ILAE Commission Report. Mesial temporal lobe epilepsy with hippocampal sclerosis.

Authors:  Heinz-Gregor Wieser
Journal:  Epilepsia       Date:  2004-06       Impact factor: 5.864

9.  Characteristics of medial temporal lobe epilepsy: I. Results of history and physical examination.

Authors:  J A French; P D Williamson; V M Thadani; T M Darcey; R H Mattson; S S Spencer; D D Spencer
Journal:  Ann Neurol       Date:  1993-12       Impact factor: 10.422

Review 10.  Hippocampal sclerosis--origins and imaging.

Authors:  Kristina Malmgren; Maria Thom
Journal:  Epilepsia       Date:  2012-09       Impact factor: 5.864

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  3 in total

1.  Image Processing to Improve Detection of Mesial Temporal Sclerosis in Adults.

Authors:  F Dahi; M S Parsons; H L P Orlowski; A Salter; S Dahiya; A Sharma
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-04       Impact factor: 3.825

2.  Diagnosis of mesial temporal sclerosis: sensitivity, specificity and predictive values of the quantitative analysis of magnetic resonance imaging.

Authors:  Ana María Granados Sánchez; Juan Felipe Orejuela Zapata
Journal:  Neuroradiol J       Date:  2017-09-13

3.  An image processing algorithm to aid diagnosis of mesial temporal sclerosis in children: a case-control study.

Authors:  Benjamin S Strnad; Hilary L P Orlowski; Matthew S Parsons; Amber Salter; Sonika Dahiya; Aseem Sharma
Journal:  Pediatr Radiol       Date:  2019-10-02
  3 in total

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