Asma Khodadadi, Manijhe Mokhtari-Dizaji, Reza Ghalehtaki, Niloofar Ayoobi Yazdi
{"title":"Using ultrasound sequential images processing to predict radiotherapy-induced sternocleidomastoid muscle fibrosis.","authors":"Asma Khodadadi, Manijhe Mokhtari-Dizaji, Reza Ghalehtaki, Niloofar Ayoobi Yazdi","doi":"10.1080/09553002.2025.2453995","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate the thickness and biomechanical parameters of the sternocleidomastoid muscle (SCM) before, during, and after radiotherapy using ultrasound elastography to predict radiotherapy-induced muscle fibrosis.</p><p><strong>Materials and methods: </strong>The mean daily absorbed doses of 20 SCMs were determined. To find out the Young and shear modulus, shear wave elastography (SWE) and the B-mode sequential images processing method were implemented. In the B-mode sequential images processing method, by administering dynamic stress, the Young and shear modulus were estimated utilizing the maximum gradient and the block-matching algorithms, respectively. The imaging was done before, during the third and sixth weeks of treatment, and 3 months after radiotherapy.</p><p><strong>Results: </strong>There was a statistically significant increase in the maximum thickness during the sixth week compared to before radiotherapy (<i>p</i> = .043). However, this parameter did not change significantly 3 months later (<i>p</i> = .095). The Young modulus (<i>p</i> = .611) derived from SWE did not differ significantly throughout any of the weeks of radiotherapy. But Young and shear modulus increased significantly in the B-mode sequential images processing method before and during the third and sixth weeks of treatment (<i>p</i> = .001). The outcomes observed 3 months after radiotherapy revealed a statistically significant increase in both Young modulus (<i>p</i> = .029) and shear modulus (<i>p</i> = .004) compared to pre-radiotherapy.</p><p><strong>Conclusion: </strong>The Young modulus and shear modulus are introduced as biological markers used to detect the onset of the fibrosis process during the initial radiotherapy fractions.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of radiation biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09553002.2025.2453995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:本研究旨在利用超声弹性成像技术评估放疗前、放疗中和放疗后胸锁乳突肌(SCM)的厚度和生物力学参数,以预测放疗诱发的肌肉纤维化:测定了 20 块胸锁乳突肌的日平均吸收剂量。为了确定杨氏模量和剪切模量,采用了剪切波弹性成像(SWE)和 B 型序列图像处理方法。在 B 型序列图像处理方法中,通过施加动态应力,分别利用最大梯度算法和块匹配算法估算杨氏模量和剪切模量。成像分别在治疗前、治疗第三周和第六周以及放疗后 3 个月进行:结果:与放疗前相比,第六周的最大厚度有明显增加(p = .043)。然而,3 个月后这一参数没有明显变化(p = .095)。根据 SWE 得出的杨氏模量(p = .611)在放疗的任何一周内都没有显著差异。但在治疗的第三周和第六周之前以及期间,B 型序列图像处理方法得出的杨氏模量和剪切模量均有明显增加(p = .001)。放疗后 3 个月的观察结果显示,与放疗前相比,杨氏模量(p = .029)和剪切模量(p = .004)均有统计学意义上的显著增加:结论:杨氏模量和剪切模量可作为生物标志物,用于检测放疗初期纤维化过程的开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using ultrasound sequential images processing to predict radiotherapy-induced sternocleidomastoid muscle fibrosis.

Purpose: The purpose of this study was to evaluate the thickness and biomechanical parameters of the sternocleidomastoid muscle (SCM) before, during, and after radiotherapy using ultrasound elastography to predict radiotherapy-induced muscle fibrosis.

Materials and methods: The mean daily absorbed doses of 20 SCMs were determined. To find out the Young and shear modulus, shear wave elastography (SWE) and the B-mode sequential images processing method were implemented. In the B-mode sequential images processing method, by administering dynamic stress, the Young and shear modulus were estimated utilizing the maximum gradient and the block-matching algorithms, respectively. The imaging was done before, during the third and sixth weeks of treatment, and 3 months after radiotherapy.

Results: There was a statistically significant increase in the maximum thickness during the sixth week compared to before radiotherapy (p = .043). However, this parameter did not change significantly 3 months later (p = .095). The Young modulus (p = .611) derived from SWE did not differ significantly throughout any of the weeks of radiotherapy. But Young and shear modulus increased significantly in the B-mode sequential images processing method before and during the third and sixth weeks of treatment (p = .001). The outcomes observed 3 months after radiotherapy revealed a statistically significant increase in both Young modulus (p = .029) and shear modulus (p = .004) compared to pre-radiotherapy.

Conclusion: The Young modulus and shear modulus are introduced as biological markers used to detect the onset of the fibrosis process during the initial radiotherapy fractions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信