Validation of quantitative magnetic resonance imaging techniques in head and neck healthy structures involved in the salivary and swallowing function: Accuracy and repeatability

F. Guerreiro , P.J. van Houdt , R.J.M. Navest , N. Hoekstra , M. de Jong , B.J. Heijnen , S.E. Zijlema , B. Verbist , U.A. van der Heide , E. Astreinidou
{"title":"Validation of quantitative magnetic resonance imaging techniques in head and neck healthy structures involved in the salivary and swallowing function: Accuracy and repeatability","authors":"F. Guerreiro ,&nbsp;P.J. van Houdt ,&nbsp;R.J.M. Navest ,&nbsp;N. Hoekstra ,&nbsp;M. de Jong ,&nbsp;B.J. Heijnen ,&nbsp;S.E. Zijlema ,&nbsp;B. Verbist ,&nbsp;U.A. van der Heide ,&nbsp;E. Astreinidou","doi":"10.1016/j.phro.2024.100608","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and Purpose</h3><p>Radiation-induced damage to the organs at risk (OARs) in head-and-neck cancer (HNC) patient can result in long-term complications. Quantitative magnetic resonance imaging (qMRI) techniques such as diffusion-weighted imaging (DWI), DIXON for fat fraction (FF) estimation and T<sub>2</sub> mapping could potentially provide a spatial assessment of such damage. The goal of this study is to validate these qMRI techniques in terms of accuracy in phantoms and repeatability in-vivo across a broad selection of healthy OARs in the HN region.</p></div><div><h3>Materials and Methods</h3><p>Scanning was performed at a 3 T diagnostic MRI scanner, including the calculation of apparent diffusion coefficient (ADC) from DWI, FF and T<sub>2</sub> maps. Phantoms were scanned to estimate the qMRI techniques bias using Bland-Altman statistics. Twenty-six healthy subjects were scanned twice in a test–retest study to determine repeatability. Repeatability coefficients (RC) were calculated for the parotid, submandibular, sublingual and tubarial salivary glands, oral cavity, pharyngeal constrictor muscle and brainstem. Additionally, a linear mixed-effect model analysis was used to evaluate the effect of subject-specific characteristics on the qMRI values.</p></div><div><h3>Results</h3><p>Bias was 0.009x10<sup>-3</sup> mm<sup>2</sup>/s for ADC, -0.7 % for FF and -7.9 ms for T<sub>2</sub>. RCs ranged 0.11–0.25x10<sup>-3</sup> mm<sup>2</sup>/s for ADC, 1.2–6.3 % for FF and 2.5–6.3 ms for T<sub>2</sub>. A significant positive linear relationship between age and the FF and T<sub>2</sub> for some of the OARs was found.</p></div><div><h3>Conclusion</h3><p>These qMRI techniques are feasible, accurate and repeatable, which is promising for treatment response monitoring and/or differentiating between healthy and unhealthy tissues due to radiation-induced damage in HNC patients.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000782/pdfft?md5=6c7372e0c0e896428978c7b16c9908f3&pid=1-s2.0-S2405631624000782-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Imaging in Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405631624000782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background and Purpose

Radiation-induced damage to the organs at risk (OARs) in head-and-neck cancer (HNC) patient can result in long-term complications. Quantitative magnetic resonance imaging (qMRI) techniques such as diffusion-weighted imaging (DWI), DIXON for fat fraction (FF) estimation and T2 mapping could potentially provide a spatial assessment of such damage. The goal of this study is to validate these qMRI techniques in terms of accuracy in phantoms and repeatability in-vivo across a broad selection of healthy OARs in the HN region.

Materials and Methods

Scanning was performed at a 3 T diagnostic MRI scanner, including the calculation of apparent diffusion coefficient (ADC) from DWI, FF and T2 maps. Phantoms were scanned to estimate the qMRI techniques bias using Bland-Altman statistics. Twenty-six healthy subjects were scanned twice in a test–retest study to determine repeatability. Repeatability coefficients (RC) were calculated for the parotid, submandibular, sublingual and tubarial salivary glands, oral cavity, pharyngeal constrictor muscle and brainstem. Additionally, a linear mixed-effect model analysis was used to evaluate the effect of subject-specific characteristics on the qMRI values.

Results

Bias was 0.009x10-3 mm2/s for ADC, -0.7 % for FF and -7.9 ms for T2. RCs ranged 0.11–0.25x10-3 mm2/s for ADC, 1.2–6.3 % for FF and 2.5–6.3 ms for T2. A significant positive linear relationship between age and the FF and T2 for some of the OARs was found.

Conclusion

These qMRI techniques are feasible, accurate and repeatable, which is promising for treatment response monitoring and/or differentiating between healthy and unhealthy tissues due to radiation-induced damage in HNC patients.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
头颈部健康结构中涉及唾液和吞咽功能的定量磁共振成像技术的验证:准确性和可重复性
背景和目的头颈癌(HNC)患者的危险器官(OARs)因放射线引起的损伤可导致长期并发症。定量磁共振成像(qMRI)技术,如弥散加权成像(DWI)、用于脂肪分数(FF)估算的 DIXON 和 T2 映射,有可能提供此类损伤的空间评估。本研究的目的是验证这些 qMRI 技术在模型中的准确性和体内的可重复性,广泛选择 HN 区域的健康 OAR。使用 Bland-Altman 统计法对模型进行扫描,以估计 qMRI 技术的偏差。在一项重复测试研究中,对 26 名健康受试者进行了两次扫描,以确定重复性。计算了腮腺、颌下腺、舌下腺和管状唾液腺、口腔、咽收缩肌和脑干的重复性系数(RC)。结果 ADC 偏差为 0.009x10-3 mm2/s,FF 偏差为-0.7%,T2 偏差为-7.9 ms。ADC 的 RC 值为 0.11-0.25x10-3 mm2/s,FF 为 1.2-6.3%,T2 为 2.5-6.3 ms。结论这些 qMRI 技术是可行的、准确的和可重复的,有望用于监测治疗反应和/或区分 HNC 患者因辐射损伤导致的健康和不健康组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology Physics and Astronomy-Radiation
CiteScore
5.30
自引率
18.90%
发文量
93
审稿时长
6 weeks
期刊最新文献
Results of 2023 survey on the use of synthetic computed tomography for magnetic resonance Imaging-only radiotherapy: Current status and future steps Head and neck automatic multi-organ segmentation on Dual-Energy Computed Tomography Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients Development of a novel 3D-printed dynamic anthropomorphic thorax phantom for evaluation of four-dimensional computed tomography Technical feasibility of delivering a simultaneous integrated boost in partial breast irradiation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1