Dataset Information

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.

ABSTRACT:

Background

Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling.

Purpose

To characterize longitudinal changes in intracranial vessel diameter using time-of-flight (TOF) MRA.

Study type

Retrospective longitudinal study.

Subject population

IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006-2011 scanned annually.

Field strength/sequence

1.5T and 3T TOF MRA.

Statistical tests

Chi-square and Wilcoxon-Mann-Whitney tests.

Assessment

Manual measurements using interventional angiography was established as a reference standard for diameter measurements. Constant and linear quantile regression with absolute difference, percentage difference, and relative difference was used for outlier detection.

Results

Major vessels surrounding the circle of Willis were successfully segmented except for posterior communicating arteries, mostly due to disease-related hypoplasia. Diameter measurements were calculated at 1-mm segments with a median computed vessel diameter of 1.25 mm. Diameter distortion due to registration was within 0.04 mm for 99% of vessel segments. Outlier detection using quantile regression detected less than 4.34% as being outliers. Outliers were more frequent in smaller vessels and proximity to bifurcations (P < 0.001).

Data conclusion

Using the proposed method, objective changes in vessel diameter can be acquired noninvasively from routine longitudinal imaging. High-throughput analyses of imaging-derived vascular trees combined with clinical and treatment parameters will allow rigorous modeling of vessel diameter changes.

Level of evidence

2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1063-1074.

SUBMITTER: Hsu CY

PROVIDER: S-EPMC8720418 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Publications

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.

Hsu Chih-Yang CY Li Yimei Y Han Yuanyuan Y Elijovich Lucas L Sabin Noah D ND Abuelem Tarek T Torabi Radmehr R Faught Austin A Hua Chia-Ho CH Klimo Paul P Merchant Thomas E TE Lucas John T JT

Journal of magnetic resonance imaging : JMRI 20190307 4

<h4>Background</h4>Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling.<h4>Purpose</h4>To characterize longitudinal changes in intracranial vessel diameter using time-of-flight (TOF) MRA.<h4>Study type</h4>Retrospective longitudinal study.<h4>Subject population</h4>IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006-2011 s ...[more]

PMID: 30843642

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Dataset Information

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.

Background

Purpose

Study type

Subject population

Field strength/sequence

Statistical tests

Assessment

Results

Data conclusion

Level of evidence

Publications

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.

Similar Datasets

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