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Using ultrasound sequential images processing to predict radiotherapy-induced sternocleidomastoid muscle fibrosis.

Authors :
Khodadadi A
Mokhtari-Dizaji M
Ghalehtaki R
Yazdi NA
Source :
International journal of radiation biology [Int J Radiat Biol] 2025 Feb 03, pp. 1-11. Date of Electronic Publication: 2025 Feb 03.
Publication Year :
2025
Publisher :
Ahead of Print

Abstract

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.<br />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.<br />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.<br />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.

Details

Language :
English
ISSN :
1362-3095
Database :
MEDLINE
Journal :
International journal of radiation biology
Publication Type :
Academic Journal
Accession number :
39899279
Full Text :
https://doi.org/10.1080/09553002.2025.2453995