Intensity standardization methods in magnetic resonance imaging of head and neck cancer. (October 2021)
- Record Type:
- Journal Article
- Title:
- Intensity standardization methods in magnetic resonance imaging of head and neck cancer. (October 2021)
- Main Title:
- Intensity standardization methods in magnetic resonance imaging of head and neck cancer
- Authors:
- 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. - Abstract:
- Abstract: 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 wereAbstract: 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. … (more)
- Is Part Of:
- Physics and imaging in radiation oncology. Volume 20(2021)
- Journal:
- Physics and imaging in radiation oncology
- Issue:
- Volume 20(2021)
- Issue Display:
- Volume 20, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 20
- Issue:
- 2021
- Issue Sort Value:
- 2021-0020-2021-0000
- Page Start:
- 88
- Page End:
- 93
- Publication Date:
- 2021-10
- Subjects:
- MRI -- Standardization -- Harmonization -- Normalization -- Quantitative analysis -- Head and neck cancer
Radiotherapy -- Periodicals
Radiation dosimetry -- Periodicals
Cancer -- Imaging -- Periodicals
Oncology -- Periodicals
615.842 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology/ ↗ - DOI:
- 10.1016/j.phro.2021.11.001 ↗
- Languages:
- English
- ISSNs:
- 2405-6316
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20010.xml