Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter

Dostál, Marek; Keřkovský, Miloš; Koriťáková, Eva; Němcová, Eva; Stulík, Jakub; Stanková, M; Bernard, Vladan

doi:10.1002/jmri.26166

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…T 2 * and DTI volumes were subsequently registered using the contours of the segmented spinal cord as landmarks. The technique of segmentation and subsequent DTI data analysis has been further described and evaluated in a recent study 12 …”

Section: Methodsmentioning

confidence: 89%

“…Because training is done on the same subject as is segmentation, the dataset need not to be so large as those required by fully automatic segmentation algorithms, and it is a more personal approach. This method produces broad overlapping with manual segmentation 12 . Furthermore, T 2 * ‐hyperintense lesions of the spinal cord, if present, were segmented in manual mode by Miloš Keřkovský in T 2 * ‐weighted axial images.…”

Section: Methodsmentioning

confidence: 99%

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MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

Dostál

Keřkovský

Stulík

et al. 2020

Journal of Neuroimaging

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BACKGROUND AND PURPOSE This study's aim was to investigate diffusion properties of the cervical spinal cord in patients with clinically isolated syndrome (CIS) through analysis of diffusion tensor imaging (DTI) data and thereby to assess the capacity of this technique for predicting the progression of CIS to clinically definite multiple sclerosis (CDMS). METHODS The study groups were comprised of 47 patients with CIS (15 of them with progression to CDMS within 2 years of follow‐up) and 57 asymptomatic controls. All patients and controls had undergone magnetic resonance imaging (MRI) of the cervical spine including DTI and brain MRI. Methodological approaches included histogram analysis of the cervical cord's diffusion parameters and evaluation of T2 hyperintense lesions of the spinal cord and brain. All parameters were compared between the study groups. Sensitivity and specificity calculations were then performed with a view to predicting conversion to CDMS. RESULTS The patient subgroups defined by progression to CDMS differed significantly in values of fractional anisotropy (FA) kurtosis measured within white matter (WM) and normal‐appearing WM (NAWM). The same parameters also differed significantly when patients with progression to CDMS were compared to healthy controls. Receiver operating characteristic (ROC) analysis revealed sensitivity and specificity of FA kurtosis of WM and NAWM of 93% and 72%, respectively, in terms of predicting CIS to CDMS progression. CONCLUSION This study presents evidence that histogram analysis of diffusion parameters of the cervical spinal cord in patients with CIS may be helpful in predicting conversion to CDMS.

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Section: Methodsmentioning

confidence: 89%

Section: Methodsmentioning

confidence: 99%

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

Dostál

Keřkovský

Stulík

et al. 2020

Journal of Neuroimaging

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“…The The variability of each VOI drawing strategy was measured by coefficient of variation (CV), calculated by equation ( 2) [16]- [18].…”

Section: Pet Image Quantificationmentioning

confidence: 99%

Comparison of Manual and Semiautomatic Volume of Interest Drawing For the Analysis of Spinal Cord Myelin Pet Imaging

Lucena,

Pitombeira,

Buchpiguel

et al. 2023

World Congress on Electrical Engineering and Computer Systems and Science

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This study aims to compare the manual and semiautomatic method for volume of interest (VOI) drawing of Positron Emission Tomography (PET) images with Carbon-11 labeled Pittsburgh Compound B ([ 11 C]PIB) of Cervical Spinal Cord (SC). Studies using PET images of spinal cord are scarce, probably, due to the difficulty associated with reduced dimensions and respiratory movement of this region, therefore, more suitable method of drawing the VOIs in this region still needs further evaluation. [ 11 C]PIB PET images and T1-weighted MRI were acquired from 10 healthy volunteers in a simultaneous hybrid PET/MR system. The VOIs were placed using: 1) manually, using iso-contour tool, and 2) semi-automatically, using ellipse and rectangle shape tool, slice by slice, oriented by vertebral levels (C1/C2-C4) and drawing in the axial and sagittal plane. The statistical analyses were performed by GraphPad Prism 8 software, using one way ANOVA. The results are presented in SUV (Standardized Uptake Value) at C1/C2, C3 and C4 levels. There were no statistical differences between the four VOI drawing strategies. Manual and semi-automatic drawing showed similar results, allowing the choice by a personal analyst preference.

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Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics

Dostál

Keřkovský

Staffa

et al. 2020

Magnetic Resonance Imaging

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Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter

Abstract: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1217-1227.

Cited by 7 publications

References 40 publications

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

Comparison of Manual and Semiautomatic Volume of Interest Drawing For the Analysis of Spinal Cord Myelin Pet Imaging

Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics

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