Intensity standardization methods in magnetic resonance imaging of head and neck cancer

Background and Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning. While intensity standardization methods exist, their effects on head and neck MRI have not been investigated. We developed a workflow...

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Autores principales:	Kareem A. Wahid, Renjie He, Brigid A. McDonald, Brian M. Anderson, Travis Salzillo, Sam Mulder, Jarey Wang, Christina Setareh Sharafi, Lance A. McCoy, Mohamed A. Naser, Sara Ahmed, Keith L. Sanders, Abdallah S.R. Mohamed, Yao Ding, Jihong Wang, Kate Hutcheson, Stephen Y. Lai, Clifton D. Fuller, Lisanne V. van Dijk
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	MRI Standardization Harmonization Normalization Quantitative analysis Head and neck cancer Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/ce5ca3020fbb44acb376acd3fb05ccd8
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spelling	oai:doaj.org-article:ce5ca3020fbb44acb376acd3fb05ccd82021-11-22T04:27:30ZIntensity standardization methods in magnetic resonance imaging of head and neck cancer2405-631610.1016/j.phro.2021.11.001https://doaj.org/article/ce5ca3020fbb44acb376acd3fb05ccd82021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405631621000658https://doaj.org/toc/2405-6316Background and Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning. While intensity standardization methods exist, their effects on head and neck MRI have not been investigated. We developed a workflow based on healthy tissue region of interest (ROI) analysis to determine intensity consistency within a patient cohort. Through this workflow, we systematically evaluated intensity standardization methods for MRI of head and neck cancer (HNC) patients. Materials and Methods: Two HNC cohorts (30 patients total) were retrospectively analyzed. One cohort was imaged with heterogenous acquisition parameters (HET cohort), whereas the other was imaged with homogenous acquisition parameters (HOM cohort). The standard deviation of cohort-level normalized mean intensity (SD NMIc), a metric of intensity consistency, was calculated across ROIs to determine the effect of five intensity standardization methods on T2-weighted images. For each cohort, a Friedman test followed by a post-hoc Bonferroni-corrected Wilcoxon signed-rank test was conducted to compare SD NMIc among methods. Results: Consistency (SD NMIc across ROIs) between unstandardized images was substantially more impaired in the HET cohort (0.29 ± 0.08) than in the HOM cohort (0.15 ± 0.03). Consequently, corrected p-values for intensity standardization methods with lower SD NMIc compared to unstandardized images were significant in the HET cohort (p < 0.05) but not significant in the HOM cohort (p > 0.05). In both cohorts, differences between methods were often minimal and nonsignificant. Conclusions: Our findings stress the importance of intensity standardization, either through the utilization of uniform acquisition parameters or specific intensity standardization methods, and the need for testing intensity consistency before performing quantitative analysis of HNC MRI.Kareem A. WahidRenjie HeBrigid A. McDonaldBrian M. AndersonTravis SalzilloSam MulderJarey WangChristina Setareh SharafiLance A. McCoyMohamed A. NaserSara AhmedKeith L. SandersAbdallah S.R. MohamedYao DingJihong WangKate HutchesonStephen Y. LaiClifton D. FullerLisanne V. van DijkElsevierarticleMRIStandardizationHarmonizationNormalizationQuantitative analysisHead and neck cancerMedical physics. Medical radiology. Nuclear medicineR895-920Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENPhysics and Imaging in Radiation Oncology, Vol 20, Iss , Pp 88-93 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MRI Standardization Harmonization Normalization Quantitative analysis Head and neck cancer Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	MRI Standardization Harmonization Normalization Quantitative analysis Head and neck cancer Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Kareem A. Wahid Renjie He Brigid A. McDonald Brian M. Anderson Travis Salzillo Sam Mulder Jarey Wang Christina Setareh Sharafi Lance A. McCoy Mohamed A. Naser Sara Ahmed Keith L. Sanders Abdallah S.R. Mohamed Yao Ding Jihong Wang Kate Hutcheson Stephen Y. Lai Clifton D. Fuller Lisanne V. van Dijk Intensity standardization methods in magnetic resonance imaging of head and neck cancer
description	Background and Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning. While intensity standardization methods exist, their effects on head and neck MRI have not been investigated. We developed a workflow based on healthy tissue region of interest (ROI) analysis to determine intensity consistency within a patient cohort. Through this workflow, we systematically evaluated intensity standardization methods for MRI of head and neck cancer (HNC) patients. Materials and Methods: Two HNC cohorts (30 patients total) were retrospectively analyzed. One cohort was imaged with heterogenous acquisition parameters (HET cohort), whereas the other was imaged with homogenous acquisition parameters (HOM cohort). The standard deviation of cohort-level normalized mean intensity (SD NMIc), a metric of intensity consistency, was calculated across ROIs to determine the effect of five intensity standardization methods on T2-weighted images. For each cohort, a Friedman test followed by a post-hoc Bonferroni-corrected Wilcoxon signed-rank test was conducted to compare SD NMIc among methods. Results: Consistency (SD NMIc across ROIs) between unstandardized images was substantially more impaired in the HET cohort (0.29 ± 0.08) than in the HOM cohort (0.15 ± 0.03). Consequently, corrected p-values for intensity standardization methods with lower SD NMIc compared to unstandardized images were significant in the HET cohort (p < 0.05) but not significant in the HOM cohort (p > 0.05). In both cohorts, differences between methods were often minimal and nonsignificant. Conclusions: Our findings stress the importance of intensity standardization, either through the utilization of uniform acquisition parameters or specific intensity standardization methods, and the need for testing intensity consistency before performing quantitative analysis of HNC MRI.
format	article
author	Kareem A. Wahid Renjie He Brigid A. McDonald Brian M. Anderson Travis Salzillo Sam Mulder Jarey Wang Christina Setareh Sharafi Lance A. McCoy Mohamed A. Naser Sara Ahmed Keith L. Sanders Abdallah S.R. Mohamed Yao Ding Jihong Wang Kate Hutcheson Stephen Y. Lai Clifton D. Fuller Lisanne V. van Dijk
author_facet	Kareem A. Wahid Renjie He Brigid A. McDonald Brian M. Anderson Travis Salzillo Sam Mulder Jarey Wang Christina Setareh Sharafi Lance A. McCoy Mohamed A. Naser Sara Ahmed Keith L. Sanders Abdallah S.R. Mohamed Yao Ding Jihong Wang Kate Hutcheson Stephen Y. Lai Clifton D. Fuller Lisanne V. van Dijk
author_sort	Kareem A. Wahid
title	Intensity standardization methods in magnetic resonance imaging of head and neck cancer
title_short	Intensity standardization methods in magnetic resonance imaging of head and neck cancer
title_full	Intensity standardization methods in magnetic resonance imaging of head and neck cancer
title_fullStr	Intensity standardization methods in magnetic resonance imaging of head and neck cancer
title_full_unstemmed	Intensity standardization methods in magnetic resonance imaging of head and neck cancer
title_sort	intensity standardization methods in magnetic resonance imaging of head and neck cancer
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ce5ca3020fbb44acb376acd3fb05ccd8
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Intensity standardization methods in magnetic resonance imaging of head and neck cancer

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