Literature DB >> 19692839

Hippocampal MRI volumetry at 3 Tesla: reliability and practical guidance.

Cécile R L P N Jeukens1, Mariëlle C G Vlooswijk, H J Marian Majoie, Marc C T F M de Krom, Albert P Aldenkamp, Paul A M Hofman, Jacobus F A Jansen, Walter H Backes.   

Abstract

OBJECTIVES: Although volumetry of the hippocampus is considered to be an established technique, protocols reported in literature are not described in great detail. This article provides a complete and detailed protocol for hippocampal volumetry applicable to T1-weighted magnetic resonance (MR) images acquired at 3 Tesla, which has become the standard for structural brain research.
MATERIALS AND METHODS: The protocol encompasses T1-weighted image acquisition at 3 Tesla, anatomic guidelines for manual hippocampus delineation, requirements of delineation software, reliability measures, and criteria to assess and ensure sufficient reliability. Moreover, the validity of the correction for total intracranial volume size was critically assessed. The protocol was applied by 2 readers to the MR images of 36 patients with cryptogenic localization-related epilepsy, 4 patients with unilateral hippocampal sclerosis, and 20 healthy control subjects.
RESULTS: The uncorrected hippocampal volumes were 2923 +/- 500 mm3 (mean +/- SD) (left) and 3120 +/- 416 mm3 (right) for the patient group and 3185 +/- 411 mm3 (left) and 3302 +/- 411 mm3 (right) for the healthy control group. The volume of the 4 pathologic hippocampi of the patients with unilateral hippocampal sclerosis was 2980 +/- 422 mm3. The inter-reader reliability values were determined: intraclass-correlation-coefficient (ICC) = 0.87 (left) and 0.86 (right), percentage volume difference (VD) = 7.0 +/- 4.7% (left) and 6.0 +/- 3.8% (right), and overlap ratio (OR) = 0.82 +/- 0.04 (left) and 0.82 +/- 0.03 (right). The positive Pearson correlation between hippocampal volume and total intracranial volume was found to be low: r = 0.48 (P = 0.03, left) and r = 0.62 (P = 0.004, right) and did not significantly reduce the volumetric variances, showing the limited benefit of the brain size correction.
CONCLUSIONS: A protocol was described to determine hippocampal volumes based on 3 Tesla MR images with high inter-reader reliability. Although the reliability of hippocampal volumetry at 3 Tesla was similar to the literature values obtained at 1.5 Tesla, hippocampal border definition is argued to be more confident and easier because of the improved signal-to-noise characteristics.

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Year:  2009        PMID: 19692839     DOI: 10.1097/RLI.0b013e3181b4c180

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  11 in total

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

Authors:  Guilherme Silva; Cristina Martins; Nádia Moreira da Silva; Duarte Vieira; Dias Costa; Ricardo Rego; José Fonseca; João Paulo Silva Cunha
Journal:  Neuroradiol J       Date:  2017-06-20

2.  Anatomical and functional correlates of human hippocampal volume asymmetry.

Authors:  Austin A Woolard; Stephan Heckers
Journal:  Psychiatry Res       Date:  2012-01-27       Impact factor: 3.222

3.  Asymmetric bias in user guided segmentations of brain structures.

Authors:  Eric Maltbie; Kshamta Bhatt; Beatriz Paniagua; Rachel G Smith; Michael M Graves; Matthew W Mosconi; Sarah Peterson; Scott White; Joseph Blocher; Mohammed El-Sayed; Heather C Hazlett; Martin A Styner
Journal:  Neuroimage       Date:  2011-08-26       Impact factor: 6.556

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

Authors:  Siddhartha Datta; Sudipta Sarkar; Sumit Chakraborty; Sai Krishna Mulpuru; Swadhapriya Basu; Basant K Tiwary; Nilkanta Chakrabarti; Prasun Kumar Roy
Journal:  Neuroradiology       Date:  2015-06-02       Impact factor: 2.804

5.  Automated segmentation of the human hippocampus along its longitudinal axis.

Authors:  Garikoitz Lerma-Usabiaga; Juan Eugenio Iglesias; Ricardo Insausti; Douglas N Greve; Pedro M Paz-Alonso
Journal:  Hum Brain Mapp       Date:  2016-05-09       Impact factor: 5.038

6.  Optimizing hippocampal segmentation in infants utilizing MRI post-acquisition processing.

Authors:  Deanne K Thompson; Zohra M Ahmadzai; Stephen J Wood; Terrie E Inder; Simon K Warfield; Lex W Doyle; Gary F Egan
Journal:  Neuroinformatics       Date:  2012-04

7.  Entorhinal cortex volume in older adults: reliability and validity considerations for three published measurement protocols.

Authors:  C C Price; M F Wood; C M Leonard; S Towler; J Ward; H Montijo; I Kellison; D Bowers; T Monk; J C Newcomer; I Schmalfuss
Journal:  J Int Neuropsychol Soc       Date:  2010-09       Impact factor: 2.892

8.  Synthetic MRI signal standardization: application to multi-atlas analysis.

Authors:  Juan Eugenio Iglesias; Ivo Dinov; Jaskaran Singh; Gregory Tong; Zhuowen Tu
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

9.  Hippocampal Volumetry as a Biomarker for Dementia in People with Low Education.

Authors:  Jaime D Mondragón; César Celada-Borja; Fernando Barinagarrementeria-Aldatz; Martín Burgos-Jaramillo; Héctor Manuel Barragán-Campos
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2016-10-12

10.  Longitudinal volume changes of hippocampal subfields and cognitive decline in Parkinson's disease.

Authors:  Rui Xu; Xiaofei Hu; Xiaomei Jiang; Yanling Zhang; Jian Wang; Xianchun Zeng
Journal:  Quant Imaging Med Surg       Date:  2020-01
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