Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images (2023)

Abstract

BACKGROUND AND PURPOSE: Gray matter pathology is known to occur in multiple sclerosis and is related to disease outcomes. FreeSurfer and the FMRIB Integrated Registration and Segmentation Tool (FIRST) have been developed for measuring cortical and subcortical gray matter in 3D-gradient-echo T1-weighted images. Unfortunately, most historical MS cohorts do not have 3D-gradientecho, but 2D-spin-echo images instead. We aimed to evaluate whether cortical thickness and the volume of subcortical structures measured with FreeSurfer and FIRST could be reliably measured in 2D-spin-echo images and to investigate the strength and direction of clinicoradiologic correlations. MATERIALS AND METHODS: Thirty-eight patients with MS and 2D-spin-echo and 3D-gradient-echo T1-weighted images obtained at the same time were analyzed by using FreeSurfer and FIRST. The intraclass correlation coefficient between the estimates was obtained. Correlation coefficients were used to investigate clinicoradiologic associations. RESULTS: Subcortical volumes obtained with both FreeSurfer and FIRST showed good agreement between 2D-spin-echo and 3D-gradient-echo images, with 68.8%-76.2% of the structures having either a substantial or almost perfect agreement. Nevertheless, with FIRST with 2D-spin-echo, 18% of patients had mis-segmentation. Cortical thickness had the lowest intraclass correlation coefficient values, with only 1 structure (1.4%) having substantial agreement. Disease duration and the Expanded Disability Status Scale showed a moderate correlation with most of the subcortical structures measured with 3D-gradient-echo images, but some correlations lost significance with 2D-spin-echo images, especially with FIRST. CONCLUSIONS: Cortical thickness estimates with FreeSurfer on 2D-spin-echo images are inaccurate. Subcortical volume estimates obtained with FreeSurfer and FIRST on 2D-spin-echo images seem to be reliable, with acceptable clinicoradiologic correlations for FreeSurfer.

Original languageEnglish
Pages (from-to)250-256
Number of pages7
JournalAmerican Journal of Neuroradiology
Volume38
Issue number2
DOIs
Publication statusPublished - Feb 2017

Keywords

  • Clinically isolated syndromes
  • Test-retest reliability
  • Grey-matter atrophy
  • Cerebral-cortex
  • Brain atrophy
  • Mri
  • Segmentation
  • Registration
  • Robust
  • Gray

Access to Document

Other files and links

Fingerprint

Dive into the research topics of 'Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images'. Together they form a unique fingerprint.

(Video) T1 MRI vs T2 MRI vs FLAIR MRI || MRI Brain || Radiology

View full fingerprint

Cite this

  • APA
  • Author
  • BIBTEX
  • Harvard
  • Standard
  • RIS
  • Vancouver

Vidal-Jordana, A., Pareto, D., Sastre-Garriga, J., Auger, C., Ciampi, E., Montalban, X., & Rovira, A. (2017). Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images. American Journal of Neuroradiology, 38(2), 250-256. https://doi.org/10.3174/ajnr.A4999, https://doi.org/10.3174/ajnr.A4999

Vidal-Jordana, A. ; Pareto, D. ; Sastre-Garriga, J. et al. / Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis : Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images. In: American Journal of Neuroradiology. 2017 ; Vol. 38, No. 2. pp. 250-256.

@article{84b37513630f40b78cc9d51b9d03821f,

title = "Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images",

abstract = "BACKGROUND AND PURPOSE: Gray matter pathology is known to occur in multiple sclerosis and is related to disease outcomes. FreeSurfer and the FMRIB Integrated Registration and Segmentation Tool (FIRST) have been developed for measuring cortical and subcortical gray matter in 3D-gradient-echo T1-weighted images. Unfortunately, most historical MS cohorts do not have 3D-gradientecho, but 2D-spin-echo images instead. We aimed to evaluate whether cortical thickness and the volume of subcortical structures measured with FreeSurfer and FIRST could be reliably measured in 2D-spin-echo images and to investigate the strength and direction of clinicoradiologic correlations. MATERIALS AND METHODS: Thirty-eight patients with MS and 2D-spin-echo and 3D-gradient-echo T1-weighted images obtained at the same time were analyzed by using FreeSurfer and FIRST. The intraclass correlation coefficient between the estimates was obtained. Correlation coefficients were used to investigate clinicoradiologic associations. RESULTS: Subcortical volumes obtained with both FreeSurfer and FIRST showed good agreement between 2D-spin-echo and 3D-gradient-echo images, with 68.8%-76.2% of the structures having either a substantial or almost perfect agreement. Nevertheless, with FIRST with 2D-spin-echo, 18% of patients had mis-segmentation. Cortical thickness had the lowest intraclass correlation coefficient values, with only 1 structure (1.4%) having substantial agreement. Disease duration and the Expanded Disability Status Scale showed a moderate correlation with most of the subcortical structures measured with 3D-gradient-echo images, but some correlations lost significance with 2D-spin-echo images, especially with FIRST. CONCLUSIONS: Cortical thickness estimates with FreeSurfer on 2D-spin-echo images are inaccurate. Subcortical volume estimates obtained with FreeSurfer and FIRST on 2D-spin-echo images seem to be reliable, with acceptable clinicoradiologic correlations for FreeSurfer.",

keywords = "Clinically isolated syndromes, Test-retest reliability, Grey-matter atrophy, Cerebral-cortex, Brain atrophy, Mri, Segmentation, Registration, Robust, Gray",

author = "A. Vidal-Jordana and D. Pareto and J. Sastre-Garriga and C. Auger and E. Ciampi and X. Montalban and A. Rovira",

year = "2017",

(Video) Opportunities & Obstacles in Precision Multimodal MRI

month = feb,

doi = "10.3174/ajnr.A4999",

language = "English",

volume = "38",

pages = "250--256",

journal = "American Journal of Neuroradiology",

issn = "0195-6108",

publisher = "American Society of Neuroradiology",

number = "2",

}

Vidal-Jordana, A, Pareto, D, Sastre-Garriga, J, Auger, C, Ciampi, E, Montalban, X & Rovira, A 2017, 'Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images', American Journal of Neuroradiology, vol. 38, no. 2, pp. 250-256. https://doi.org/10.3174/ajnr.A4999, https://doi.org/10.3174/ajnr.A4999

Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis : Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images. / Vidal-Jordana, A.; Pareto, D.; Sastre-Garriga, J. et al.

In: American Journal of Neuroradiology, Vol. 38, No. 2, 02.2017, p. 250-256.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis

T2 - Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images

AU - Vidal-Jordana, A.

AU - Pareto, D.

AU - Sastre-Garriga, J.

AU - Auger, C.

AU - Ciampi, E.

AU - Montalban, X.

AU - Rovira, A.

PY - 2017/2

Y1 - 2017/2

N2 - BACKGROUND AND PURPOSE: Gray matter pathology is known to occur in multiple sclerosis and is related to disease outcomes. FreeSurfer and the FMRIB Integrated Registration and Segmentation Tool (FIRST) have been developed for measuring cortical and subcortical gray matter in 3D-gradient-echo T1-weighted images. Unfortunately, most historical MS cohorts do not have 3D-gradientecho, but 2D-spin-echo images instead. We aimed to evaluate whether cortical thickness and the volume of subcortical structures measured with FreeSurfer and FIRST could be reliably measured in 2D-spin-echo images and to investigate the strength and direction of clinicoradiologic correlations. MATERIALS AND METHODS: Thirty-eight patients with MS and 2D-spin-echo and 3D-gradient-echo T1-weighted images obtained at the same time were analyzed by using FreeSurfer and FIRST. The intraclass correlation coefficient between the estimates was obtained. Correlation coefficients were used to investigate clinicoradiologic associations. RESULTS: Subcortical volumes obtained with both FreeSurfer and FIRST showed good agreement between 2D-spin-echo and 3D-gradient-echo images, with 68.8%-76.2% of the structures having either a substantial or almost perfect agreement. Nevertheless, with FIRST with 2D-spin-echo, 18% of patients had mis-segmentation. Cortical thickness had the lowest intraclass correlation coefficient values, with only 1 structure (1.4%) having substantial agreement. Disease duration and the Expanded Disability Status Scale showed a moderate correlation with most of the subcortical structures measured with 3D-gradient-echo images, but some correlations lost significance with 2D-spin-echo images, especially with FIRST. CONCLUSIONS: Cortical thickness estimates with FreeSurfer on 2D-spin-echo images are inaccurate. Subcortical volume estimates obtained with FreeSurfer and FIRST on 2D-spin-echo images seem to be reliable, with acceptable clinicoradiologic correlations for FreeSurfer.

AB - BACKGROUND AND PURPOSE: Gray matter pathology is known to occur in multiple sclerosis and is related to disease outcomes. FreeSurfer and the FMRIB Integrated Registration and Segmentation Tool (FIRST) have been developed for measuring cortical and subcortical gray matter in 3D-gradient-echo T1-weighted images. Unfortunately, most historical MS cohorts do not have 3D-gradientecho, but 2D-spin-echo images instead. We aimed to evaluate whether cortical thickness and the volume of subcortical structures measured with FreeSurfer and FIRST could be reliably measured in 2D-spin-echo images and to investigate the strength and direction of clinicoradiologic correlations. MATERIALS AND METHODS: Thirty-eight patients with MS and 2D-spin-echo and 3D-gradient-echo T1-weighted images obtained at the same time were analyzed by using FreeSurfer and FIRST. The intraclass correlation coefficient between the estimates was obtained. Correlation coefficients were used to investigate clinicoradiologic associations. RESULTS: Subcortical volumes obtained with both FreeSurfer and FIRST showed good agreement between 2D-spin-echo and 3D-gradient-echo images, with 68.8%-76.2% of the structures having either a substantial or almost perfect agreement. Nevertheless, with FIRST with 2D-spin-echo, 18% of patients had mis-segmentation. Cortical thickness had the lowest intraclass correlation coefficient values, with only 1 structure (1.4%) having substantial agreement. Disease duration and the Expanded Disability Status Scale showed a moderate correlation with most of the subcortical structures measured with 3D-gradient-echo images, but some correlations lost significance with 2D-spin-echo images, especially with FIRST. CONCLUSIONS: Cortical thickness estimates with FreeSurfer on 2D-spin-echo images are inaccurate. Subcortical volume estimates obtained with FreeSurfer and FIRST on 2D-spin-echo images seem to be reliable, with acceptable clinicoradiologic correlations for FreeSurfer.

KW - Clinically isolated syndromes

KW - Test-retest reliability

KW - Grey-matter atrophy

KW - Cerebral-cortex

KW - Brain atrophy

KW - Mri

(Video) Akifumi Hagiwara, MD, PhD: "Synthetic MRI of the brain" (#7)

KW - Segmentation

KW - Registration

KW - Robust

KW - Gray

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=uab_pure&SrcAuth=WosAPI&KeyUT=WOS:000393170100012&DestLinkType=FullRecord&DestApp=WOS

U2 - 10.3174/ajnr.A4999

DO - 10.3174/ajnr.A4999

M3 - Article

C2 - 27884876

AN - SCOPUS:85013498678

SN - 0195-6108

VL - 38

SP - 250

EP - 256

JO - American Journal of Neuroradiology

JF - American Journal of Neuroradiology

IS - 2

ER -

(Video) Machine Learning for MRI Analysis: applications to in-vivo fetal brain and multiple sclerosis

Vidal-Jordana A, Pareto D, Sastre-Garriga J, Auger C, Ciampi E, Montalban X et al. Measurement of cortical thickness and volume of subcortical structures in multiple sclerosis: Agreement between 2D spin-echo and 3D MPRAGE T1-weighted images. American Journal of Neuroradiology. 2017 Feb;38(2):250-256. doi: 10.3174/ajnr.A4999, 10.3174/ajnr.A4999

(Video) Fundamentals of Neuroimaging: Approaches to Cognitive Impairment

Videos

1. Temporal Lobe Lesion, Dr. David Yousem - MRI Online Noon Conference
(MRI Online Powered by Medality)
2. CANON MEDICAL | Online Neurology Days | Multiple Sclerosis
(Canon Medical Systems Europe)
3. Analysis of neurodevelopment and neurodegeneration on brain imaging using machine learning
(Biomedical Imaging Group Rotterdam)
4. Epilepsy Imaging : State of The Art by Dr Rowley
(BSRI - Bangladesh Society of Radiology & Imaging)
5. CETN Rounds Feb 17th , 2023 MRI Brain and Epilepsy by Dr Kish Mankad
(CETN Canadian Epilepsy Teaching Network)
6. Lecture Series - Erik H. Middlebrooks MD (01-30-2023)
(Mayo Clinic)

References

Top Articles
Latest Posts
Article information

Author: Arline Emard IV

Last Updated: 06/09/2023

Views: 6022

Rating: 4.1 / 5 (72 voted)

Reviews: 87% of readers found this page helpful

Author information

Name: Arline Emard IV

Birthday: 1996-07-10

Address: 8912 Hintz Shore, West Louie, AZ 69363-0747

Phone: +13454700762376

Job: Administration Technician

Hobby: Paintball, Horseback riding, Cycling, Running, Macrame, Playing musical instruments, Soapmaking

Introduction: My name is Arline Emard IV, I am a cheerful, gorgeous, colorful, joyous, excited, super, inquisitive person who loves writing and wants to share my knowledge and understanding with you.