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Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI

PURPOSE: To investigate the ability of free induction decay navigator (FIDnav)‐based motion monitoring to predict diagnostic utility and reduce the time and cost associated with acquiring diagnostically useful images in a pediatric patient cohort. METHODS: A study was carried out in 102 pediatric pa...

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Autores principales: Wallace, Tess E., Afacan, Onur, Jaimes, Camilo, Rispoli, Joanne, Pelkola, Kristina, Dugan, Monet, Kober, Tobias, Warfield, Simon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904595/
https://www.ncbi.nlm.nih.gov/pubmed/33404086
http://dx.doi.org/10.1002/mrm.28649
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author Wallace, Tess E.
Afacan, Onur
Jaimes, Camilo
Rispoli, Joanne
Pelkola, Kristina
Dugan, Monet
Kober, Tobias
Warfield, Simon K.
author_facet Wallace, Tess E.
Afacan, Onur
Jaimes, Camilo
Rispoli, Joanne
Pelkola, Kristina
Dugan, Monet
Kober, Tobias
Warfield, Simon K.
author_sort Wallace, Tess E.
collection PubMed
description PURPOSE: To investigate the ability of free induction decay navigator (FIDnav)‐based motion monitoring to predict diagnostic utility and reduce the time and cost associated with acquiring diagnostically useful images in a pediatric patient cohort. METHODS: A study was carried out in 102 pediatric patients (aged 0‐18 years) at 3T using a 32‐channel head coil array. Subjects were scanned with an FID‐navigated MPRAGE sequence and images were graded by two radiologists using a five‐point scale to evaluate the impact of motion artifacts on diagnostic image quality. The correlation between image quality and four integrated FIDnav motion metrics was investigated, as well as the sensitivity and specificity of each FIDnav‐based metric to detect different levels of motion corruption in the images. Potential time and cost savings were also assessed by retrospectively applying an optimal detection threshold to FIDnav motion scores. RESULTS: A total of 12% of images were rated as non‐diagnostic, while a further 12% had compromised diagnostic value due to motion artifacts. FID‐navigated metrics exhibited a moderately strong correlation with image grade (Spearman's rho ≥ 0.56). Integrating the cross‐correlation between FIDnav signal vectors achieved the highest sensitivity and specificity for detecting non‐diagnostic images, yielding total time savings of 7% across all scans. This corresponded to a financial benefit of $2080 in this study. CONCLUSIONS: Our results indicate that integrated motion metrics from FIDnavs embedded in structural MRI are a useful predictor of diagnostic image quality, which translates to substantial time and cost savings when applied to pediatric MRI examinations.
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spelling pubmed-79045952021-03-25 Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI Wallace, Tess E. Afacan, Onur Jaimes, Camilo Rispoli, Joanne Pelkola, Kristina Dugan, Monet Kober, Tobias Warfield, Simon K. Magn Reson Med Full Papers—Imaging Methodology PURPOSE: To investigate the ability of free induction decay navigator (FIDnav)‐based motion monitoring to predict diagnostic utility and reduce the time and cost associated with acquiring diagnostically useful images in a pediatric patient cohort. METHODS: A study was carried out in 102 pediatric patients (aged 0‐18 years) at 3T using a 32‐channel head coil array. Subjects were scanned with an FID‐navigated MPRAGE sequence and images were graded by two radiologists using a five‐point scale to evaluate the impact of motion artifacts on diagnostic image quality. The correlation between image quality and four integrated FIDnav motion metrics was investigated, as well as the sensitivity and specificity of each FIDnav‐based metric to detect different levels of motion corruption in the images. Potential time and cost savings were also assessed by retrospectively applying an optimal detection threshold to FIDnav motion scores. RESULTS: A total of 12% of images were rated as non‐diagnostic, while a further 12% had compromised diagnostic value due to motion artifacts. FID‐navigated metrics exhibited a moderately strong correlation with image grade (Spearman's rho ≥ 0.56). Integrating the cross‐correlation between FIDnav signal vectors achieved the highest sensitivity and specificity for detecting non‐diagnostic images, yielding total time savings of 7% across all scans. This corresponded to a financial benefit of $2080 in this study. CONCLUSIONS: Our results indicate that integrated motion metrics from FIDnavs embedded in structural MRI are a useful predictor of diagnostic image quality, which translates to substantial time and cost savings when applied to pediatric MRI examinations. John Wiley and Sons Inc. 2021-01-06 2021-06 /pmc/articles/PMC7904595/ /pubmed/33404086 http://dx.doi.org/10.1002/mrm.28649 Text en © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers—Imaging Methodology
Wallace, Tess E.
Afacan, Onur
Jaimes, Camilo
Rispoli, Joanne
Pelkola, Kristina
Dugan, Monet
Kober, Tobias
Warfield, Simon K.
Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title_full Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title_fullStr Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title_full_unstemmed Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title_short Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI
title_sort free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric mri
topic Full Papers—Imaging Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904595/
https://www.ncbi.nlm.nih.gov/pubmed/33404086
http://dx.doi.org/10.1002/mrm.28649
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