Skip to main content Accessibility help
×
Home
Hostname: page-component-747cfc64b6-4xs5l Total loading time: 0.149 Render date: 2021-06-14T01:10:51.829Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": true, "newCiteModal": false, "newCitedByModal": true, "newEcommerce": true }

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

Published online by Cambridge University Press:  30 March 2021

Kareem A. Wahid
Affiliation:
The University of Texas MD Anderson Cancer Center
Renjie He
Affiliation:
The University of Texas MD Anderson Cancer Center
Brigid A. McDonald
Affiliation:
The University of Texas MD Anderson Cancer Center
Brian M. Anderson
Affiliation:
The University of Texas MD Anderson Cancer Center
Travis Salzillo
Affiliation:
The University of Texas MD Anderson Cancer Center
Sam Mulder
Affiliation:
The University of Texas MD Anderson Cancer Center
Jarey Wang
Affiliation:
The University of Texas MD Anderson Cancer Center
Christina Setareh Sharafi
Affiliation:
The University of Texas MD Anderson Cancer Center
Lance A. McCoy
Affiliation:
The University of Texas MD Anderson Cancer Center
Mohamed A. Naser
Affiliation:
The University of Texas MD Anderson Cancer Center
Sara Ahmed
Affiliation:
The University of Texas MD Anderson Cancer Center
Keith L. Sanders
Affiliation:
The University of Texas MD Anderson Cancer Center
Abdallah S.R. Mohamed
Affiliation:
The University of Texas MD Anderson Cancer Center
Yao Ding
Affiliation:
The University of Texas MD Anderson Cancer Center
Jihong Wang
Affiliation:
The University of Texas MD Anderson Cancer Center
Kate Hutcheson
Affiliation:
The University of Texas MD Anderson Cancer Center
Stephen Y. Lai
Affiliation:
The University of Texas MD Anderson Cancer Center
Clifton D. Fuller
Affiliation:
The University of Texas MD Anderson Cancer Center
Lisanne V. van Dijk
Affiliation:
The University of Texas MD Anderson Cancer Center
Rights & Permissions[Opens in a new window]

Abstract

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.

Type
Data Science/Biostatistics/Informatics
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Association for Clinical and Translational Science 2021
You have Access
Open access

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

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

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

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

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

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

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *