{"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。
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.