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16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging

ABSTRACT IMPACT: This work will standardize necessary image pre-processing for diagnostic and prognostic clinical workflows dependent on quantitative analysis of conventional magnetic resonance imaging. OBJECTIVES/GOALS: Conventional magnetic resonance imaging (MRI) poses challenges for quantitative...

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Autores principales: Wahid, Kareem A., He, Renjie, McDonald, Brigid A., Anderson, Brian M., Salzillo, Travis, Mulder, Sam, Wang, Jarey, Sharafi, Christina Setareh, McCoy, Lance A., Naser, Mohamed A., Ahmed, Sara, Sanders, Keith L., Mohamed, Abdallah S.R., Ding, Yao, Wang, Jihong, Hutcheson, Kate, Lai, Stephen Y., Fuller, Clifton D., van Dijk, Lisanne V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827666/
http://dx.doi.org/10.1017/cts.2021.516
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author Wahid, Kareem A.
He, Renjie
McDonald, Brigid A.
Anderson, Brian M.
Salzillo, Travis
Mulder, Sam
Wang, Jarey
Sharafi, Christina Setareh
McCoy, Lance A.
Naser, Mohamed A.
Ahmed, Sara
Sanders, Keith L.
Mohamed, Abdallah S.R.
Ding, Yao
Wang, Jihong
Hutcheson, Kate
Lai, Stephen Y.
Fuller, Clifton D.
van Dijk, Lisanne V.
author_facet Wahid, Kareem A.
He, Renjie
McDonald, Brigid A.
Anderson, Brian M.
Salzillo, Travis
Mulder, Sam
Wang, Jarey
Sharafi, Christina Setareh
McCoy, Lance A.
Naser, Mohamed A.
Ahmed, Sara
Sanders, Keith L.
Mohamed, Abdallah S.R.
Ding, Yao
Wang, Jihong
Hutcheson, Kate
Lai, Stephen Y.
Fuller, Clifton D.
van Dijk, Lisanne V.
author_sort Wahid, Kareem A.
collection PubMed
description ABSTRACT IMPACT: This work will standardize necessary image pre-processing for diagnostic and prognostic clinical workflows dependent on quantitative analysis of conventional magnetic resonance imaging. OBJECTIVES/GOALS: Conventional magnetic resonance imaging (MRI) poses challenges for quantitative analysis due to a lack of uniform inter-scanner voxel intensity values. Head and neck cancer (HNC) applications in particular have not been well investigated. This project aims to systematically evaluate voxel intensity standardization (VIS) methods for HNC MRI. METHODS/STUDY POPULATION: We utilize two separate cohorts of HNC patients, where T2-weighted (T2-w) MRI sequences were acquired before beginning radiotherapy for five patients in each cohort. The first cohort corresponds to patients with images taken at various institutions with a variety of non-uniform acquisition scanners and parameters. The second cohort corresponds to patients from a prospective clinical trial with uniformity in both scanner and acquisition parameters. Regions of interest from a variety of healthy tissues assumed to have minimal interpatient variation were manually contoured for each image and used to compare differences between a variety of VIS methods for each cohort. Towards this end, we implement a new metric for cohort intensity distributional overlap to compare region of interest similarity in a given cohort. RESULTS/ANTICIPATED RESULTS: Using a simple and interpretable metric, we have systematically investigated the effects of various commonly implementable VIS methods on T2-w sequences for two independent cohorts of HNC patients based on region of interest intensity similarity. We demonstrate VIS has a substantial effect on T2-w images where non-uniform acquisition parameters and scanners are utilized. Oppositely, it has a modest to minimal impact on T2-w images generated from the same scanner with the same acquisition parameters. Moreover, with a few notable exceptions, there does not seem to be a clear advantage or disadvantage to using one VIS method over another for T2-w images with non-uniform acquisition parameters. DISCUSSION/SIGNIFICANCE OF FINDINGS: Our results inform which VIS methods should be favored in HNC MRI and may indicate VIS is not a critical factor to consider in circumstances where similar acquisition parameters can be utilized. Moreover, our results can help guide downstream quantitative imaging tasks that may one day be implemented in clinical workflows.
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spelling pubmed-88276662022-02-28 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging Wahid, Kareem A. He, Renjie McDonald, Brigid A. Anderson, Brian M. Salzillo, Travis Mulder, Sam Wang, Jarey Sharafi, Christina Setareh McCoy, Lance A. Naser, Mohamed A. Ahmed, Sara Sanders, Keith L. Mohamed, Abdallah S.R. Ding, Yao Wang, Jihong Hutcheson, Kate Lai, Stephen Y. Fuller, Clifton D. van Dijk, Lisanne V. J Clin Transl Sci Data Science/Biostatistics/Informatics ABSTRACT IMPACT: This work will standardize necessary image pre-processing for diagnostic and prognostic clinical workflows dependent on quantitative analysis of conventional magnetic resonance imaging. OBJECTIVES/GOALS: Conventional magnetic resonance imaging (MRI) poses challenges for quantitative analysis due to a lack of uniform inter-scanner voxel intensity values. Head and neck cancer (HNC) applications in particular have not been well investigated. This project aims to systematically evaluate voxel intensity standardization (VIS) methods for HNC MRI. METHODS/STUDY POPULATION: We utilize two separate cohorts of HNC patients, where T2-weighted (T2-w) MRI sequences were acquired before beginning radiotherapy for five patients in each cohort. The first cohort corresponds to patients with images taken at various institutions with a variety of non-uniform acquisition scanners and parameters. The second cohort corresponds to patients from a prospective clinical trial with uniformity in both scanner and acquisition parameters. Regions of interest from a variety of healthy tissues assumed to have minimal interpatient variation were manually contoured for each image and used to compare differences between a variety of VIS methods for each cohort. Towards this end, we implement a new metric for cohort intensity distributional overlap to compare region of interest similarity in a given cohort. RESULTS/ANTICIPATED RESULTS: Using a simple and interpretable metric, we have systematically investigated the effects of various commonly implementable VIS methods on T2-w sequences for two independent cohorts of HNC patients based on region of interest intensity similarity. We demonstrate VIS has a substantial effect on T2-w images where non-uniform acquisition parameters and scanners are utilized. Oppositely, it has a modest to minimal impact on T2-w images generated from the same scanner with the same acquisition parameters. Moreover, with a few notable exceptions, there does not seem to be a clear advantage or disadvantage to using one VIS method over another for T2-w images with non-uniform acquisition parameters. DISCUSSION/SIGNIFICANCE OF FINDINGS: Our results inform which VIS methods should be favored in HNC MRI and may indicate VIS is not a critical factor to consider in circumstances where similar acquisition parameters can be utilized. Moreover, our results can help guide downstream quantitative imaging tasks that may one day be implemented in clinical workflows. Cambridge University Press 2021-03-30 /pmc/articles/PMC8827666/ http://dx.doi.org/10.1017/cts.2021.516 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Science/Biostatistics/Informatics
Wahid, Kareem A.
He, Renjie
McDonald, Brigid A.
Anderson, Brian M.
Salzillo, Travis
Mulder, Sam
Wang, Jarey
Sharafi, Christina Setareh
McCoy, Lance A.
Naser, Mohamed A.
Ahmed, Sara
Sanders, Keith L.
Mohamed, Abdallah S.R.
Ding, Yao
Wang, Jihong
Hutcheson, Kate
Lai, Stephen Y.
Fuller, Clifton D.
van Dijk, Lisanne V.
16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title_full 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title_fullStr 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title_full_unstemmed 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title_short 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
title_sort 16461 comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
topic Data Science/Biostatistics/Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827666/
http://dx.doi.org/10.1017/cts.2021.516
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