Longitudinal Evaluation of Sternocleidomastoid Muscle Stiffness and Self-Reported Fibrosis-Related Symptoms After Radiotherapy in Patients with Head and Neck Cancer
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Procedure
2.3. Participant Characteristics
2.4. Outcome Measures
2.4.1. Muscle Stiffness
2.4.2. Self-Reported Fibrosis-Related Symptoms
2.5. Statistical Analysis
3. Results
3.1. Patient Characteristics
3.2. Longitudinal Evolution
3.3. Longitudinal Association
4. Discussion
4.1. Longitudinal Evolution of Muscle Stiffness
4.2. Longitudinal Evolution of Self-Reported Fibrosis-Related Symptoms
4.3. Association Between Muscle Stiffness and Self-Reported Symptoms
4.4. Clinical Implications
4.5. Future Research
4.6. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| HNC | Head and Neck Cancer |
| SWE | Shear Wave Elastography |
| SCM | Sternocleidomastoid Muscle |
| LSIDS-H&N | Lymphoedema Symptom Intensity and Distress Survey-Head and Neck |
| SWV | Shear Wave Velocity |
| RT | Radiotherapy |
| BMI | Body Mass Index |
| ECOG | Eastern Cooperative Oncology Group |
| TNM | Tumour, Node, Metastasis |
| REDCap | Research Electronic Data Capture |
| MRI | Magnetic Resonance Imaging |
| LENT-SOMA | Late Effects Normal Tissue/Subjective Objective Management Analytic |
| SD | Standard Deviation |
| SE | Standard Error |
| SEM | Standard Error of Measurement |
| CI | Confidence Interval |
| IR | Incidence Rate Ratio |
Appendix A

References
- Mehanna, H.; Paleri, V.; West, C.M.; Nutting, C. Head and neck cancer—Part 1: Epidemiology, presentation, and prevention. Br. Med. J. 2010, 341, c4684. [Google Scholar] [CrossRef] [PubMed]
- Van Heest, T.; Rubin, N.; Khariwala, S.S. Persistent Tobacco Use After Treatment for Head and Neck Cancer. JAMA Otolaryngol. Head Neck Surg. 2022, 148, 597–603. [Google Scholar] [CrossRef]
- Hashibe, M.; Brennan, P.; Chuang, S.C.; Boccia, S.; Castellsague, X.; Chen, C.; Curado, M.P.; Dal Maso, L.; Daudt, A.W.; Fabianova, E.; et al. Interaction between tobacco and alcohol use and the risk of head and neck cancer: Pooled analysis in the International Head and Neck Cancer Epidemiology Consortium. Cancer Epidemiol. Biomark. Prev. 2009, 18, 541–550. [Google Scholar] [CrossRef]
- Mehanna, H.; Beech, T.; Nicholson, T.; El-Hariry, I.; McConkey, C.; Paleri, V.; Roberts, S. Prevalence of human papillomavirus in oropharyngeal and nonoropharyngeal head and neck cancer—systematic review and meta-analysis of trends by time and region. Head Neck 2013, 35, 747–755. [Google Scholar] [CrossRef]
- Chien, Y.C.; Chen, J.Y.; Liu, M.Y.; Yang, H.I.; Hsu, M.M.; Chen, C.J.; Yang, C.S. Serologic markers of Epstein-Barr virus infection and nasopharyngeal carcinoma in Taiwanese men. N. Engl. J. Med. 2001, 345, 1877–1882. [Google Scholar] [CrossRef]
- Grégoire, V.; Langendijk, J.A.; Nuyts, S. Advances in Radiotherapy for Head and Neck Cancer. J. Clin. Oncol. 2015, 33, 3277–3284. [Google Scholar] [CrossRef] [PubMed]
- Sroussi, H.Y.; Epstein, J.B.; Bensadoun, R.J.; Saunders, D.P.; Lalla, R.V.; Migliorati, C.A.; Heaivilin, N.; Zumsteg, Z.S. Common oral complications of head and neck cancer radiation therapy: Mucositis, infections, saliva change, fibrosis, sensory dysfunctions, dental caries, periodontal disease, and osteoradionecrosis. Cancer Med. 2017, 6, 2918–2931. [Google Scholar] [CrossRef] [PubMed]
- Baudelet, M.; Van den Steen, L.; Tomassen, P.; Bonte, K.; Deron, P.; Huvenne, W.; Rottey, S.; De Neve, W.; Sundahl, N.; Van Nuffelen, G.; et al. Very late xerostomia, dysphagia, and neck fibrosis after head and neck radiotherapy. Head Neck 2019, 41, 3594–3603. [Google Scholar] [CrossRef]
- Wynn, T.A. Cellular and molecular mechanisms of fibrosis. J. Pathol. 2008, 214, 199–210. [Google Scholar] [CrossRef]
- Ringash, J. Survivorship and Quality of Life in Head and Neck Cancer. J. Clin. Oncol. 2015, 33, 3322–3327. [Google Scholar] [CrossRef]
- Murphy, B.A.; Deng, J. Advances in Supportive Care for Late Effects of Head and Neck Cancer. J. Clin. Oncol. 2015, 33, 3314–3321. [Google Scholar] [CrossRef]
- Nevens, D.; Duprez, F.; Daisne, J.F.; Laenen, A.; De Neve, W.; Nuyts, S. Radiotherapy induced dermatitis is a strong predictor for late fibrosis in head and neck cancer. The development of a predictive model for late fibrosis. Radiother. Oncol. 2017, 122, 212–216. [Google Scholar] [CrossRef] [PubMed]
- Ramia, P.; Bodgi, L.; Mahmoud, D.; Mohammad, M.A.; Youssef, B.; Kopek, N.; Al-Shamsi, H.; Dagher, M.; Abu-Gheida, I. Radiation-Induced Fibrosis in Patients with Head and Neck Cancer: A Review of Pathogenesis and Clinical Outcomes. Clin. Med. Insights Oncol. 2022, 16, 11795549211036898. [Google Scholar] [CrossRef] [PubMed]
- Brook, I. Late side effects of radiation treatment for head and neck cancer. Radiat. Oncol. J. 2020, 38, 84–92. [Google Scholar] [CrossRef]
- Deng, J.; Ridner, S.H.; Aulino, J.M.; Murphy, B.A. Assessment and measurement of head and neck lymphedema: State-of-the-science and future directions. Oral. Oncol. 2015, 51, 431–437. [Google Scholar] [CrossRef]
- Won, Y.H.; Stubblefield, M.D. Prevalence of function-limiting late effects in survivors of head and neck cancer. PMR 2025, 17, 654–662. [Google Scholar] [CrossRef]
- Yang, S.; Plotnikov, S.V. Mechanosensitive Regulation of Fibrosis. Cells 2021, 10, 994. [Google Scholar] [CrossRef]
- Stewart, D.C.; Berrie, D.; Li, J.; Liu, X.; Rickerson, C.; Mkoji, D.; Iqbal, A.; Tan, S.; Doty, A.L.; Glover, S.C.; et al. Quantitative assessment of intestinal stiffness and associations with fibrosis in human inflammatory bowel disease. PLoS ONE 2018, 13, e0200377. [Google Scholar] [CrossRef] [PubMed]
- Dooling, L.J.; Saini, K.; Anlaş, A.A.; Discher, D.E. Tissue mechanics coevolves with fibrillar matrisomes in healthy and fibrotic tissues. Matrix Biol. 2022, 111, 153–188. [Google Scholar] [CrossRef] [PubMed]
- Brashear, S.E.; Wohlgemuth, R.P.; Gonzalez, G.; Smith, L.R. Passive stiffness of fibrotic skeletal muscle in mdx mice relates to collagen architecture. J. Physiol. 2021, 599, 943–962. [Google Scholar] [CrossRef]
- Kondrup, F.; Gaudreault, N.; Venne, G. The deep fascia and its role in chronic pain and pathological conditions: A review. Clin. Anat. 2022, 35, 649–659. [Google Scholar] [CrossRef]
- Gromakovskis, V. Exploring fascia in myofascial pain syndrome: An integrative model of mechanisms. Front. Pain Res. 2025, 6, 1712242. [Google Scholar] [CrossRef] [PubMed]
- Wijesinghe, S.N.; Ditchfield, C.; Flynn, S.; Agrawal, J.; Davis, E.T.; Dajas-Bailador, F.; Chapman, V.; Jones, S.W. Immunomodulation and fibroblast dynamics driving nociceptive joint pain within inflammatory synovium: Unravelling mechanisms for therapeutic advancements in osteoarthritis. Osteoarthr. Cartil. 2024, 32, 1358–1370. [Google Scholar] [CrossRef]
- Praveen, A.; Rao, K.; Gayatri, S.; Damani, A.D.; Ghoshal, A.; Nair, S.; Kumar, N.A.N.; Salins, S.L.; Pai, A.; Singh, A.; et al. Prevalence, patterns, and impact of myofascial pain in patients with head and neck cancer after cancer treatment—A single-center cross-sectional study in India. BMC Palliat. Care 2025, 24, 109. [Google Scholar] [CrossRef] [PubMed]
- Hyppolito, J.P.; Hesham, A.; Sunavala-Dossabhoy, G.; Kim, D.D. Fibrosis, Contractures, and Trismus: Delayed Complications of Treatment of Head and Neck Cancer. Oral Dis. 2025, 31, 2776–2784. [Google Scholar] [CrossRef] [PubMed]
- Liu, K.H.; Bhatia, K.; Chu, W.; He, L.T.; Leung, S.F.; Ahuja, A.T. Shear Wave Elastography—A New Quantitative Assessment of Post-Irradiation Neck Fibrosis. Ultraschall Med. 2015, 36, 348–354. [Google Scholar] [CrossRef]
- Wen, X.; Yu, X.; Cheng, W.; Li, Y.; Tian, J. Quantitative Evaluation of Shear Wave Elastography on Radiation-Induced Neck Fibrosis in Patients With Nasopharyngeal Carcinoma. Ultrasound Q. 2019, 37, 178–182. [Google Scholar] [CrossRef]
- Almadori, A.; Butler, P.E. Scarring and Skin Fibrosis Reversal with Regenerative Surgery and Stem Cell Therapy. Cells 2024, 13, 443. [Google Scholar] [CrossRef]
- Deng, J.; Wulff-Burchfield, E.M.; Murphy, B.A. Late Soft Tissue Complications of Head and Neck Cancer Therapy: Lymphedema and Fibrosis. JNCI Monogr. 2019, 2019, lgz005. [Google Scholar] [CrossRef]
- Ozturk, A.; Grajo, J.R.; Dhyani, M.; Anthony, B.W.; Samir, A.E. Principles of ultrasound elastography. Abdom. Radiol. 2018, 43, 773–785. [Google Scholar] [CrossRef]
- Sarvazyan, A.; Hall, T.J.; Urban, M.W.; Fatemi, M.; Aglyamov, S.R.; Garra, B.S. An Overview of Elastography—An Emerging Branch of Medical Imaging. Curr. Med. Imaging Rev. 2011, 7, 255–282. [Google Scholar] [CrossRef]
- Taljanovic, M.S.; Gimber, L.H.; Becker, G.W.; Latt, L.D.; Klauser, A.S.; Melville, D.M.; Gao, L.; Witte, R.S. Shear-Wave Elastography: Basic Physics and Musculoskeletal Applications. RadioGraphics 2017, 37, 855–870. [Google Scholar] [CrossRef]
- Van Aperen, K.; Nuyts, S.; Devoogdt, N.; Troosters, T.; De Vrieze, T.; Gürsen, C.; De Groef, A. Cross-cultural adaptation, validity and reliability of the Dutch version of the Lymphedema Symptom Intensity and Distress Survey-Head and Neck version 2.0 (LSIDS-H&N v2.0) in head and neck cancer patients. Disabil. Rehabil. 2026, 48, 1125–1140. [Google Scholar] [CrossRef] [PubMed]
- Weldring, T.; Smith, S.M. Patient-Reported Outcomes (PROs) and Patient-Reported Outcome Measures (PROMs). Health Serv. Insights 2013, 6, 61–68. [Google Scholar] [CrossRef]
- Aghajanzadeh, S.; Karlsson, T.; Tuomi, L.; Engström, M.; Finizia, C. Trismus, health-related quality of life, and trismus-related symptoms up to 5 years post-radiotherapy for head and neck cancer treated between 2007 and 2012. Support. Care Cancer 2023, 31, 166. [Google Scholar] [CrossRef] [PubMed]
- Pauli, N.; Johnson, J.; Finizia, C.; Andréll, P. The incidence of trismus and long-term impact on health-related quality of life in patients with head and neck cancer. Acta Oncol. 2013, 52, 1137–1145. [Google Scholar] [CrossRef] [PubMed]
- Dapper, H.; Waltenberger, M.; Pigorsch, S.U.; Combs, S.E.; Bauermeister, K.; Bauermeister, W. Tissue-Specific Quantification of Radiation-Induced Cervical Fibrosis and Correlation with Cervical Range of Motion. Res. Sq. 2024. [Google Scholar] [CrossRef]
- Van Aperen, K.; De Groef, A.; Devoogdt, N.; De Vrieze, T.; Troosters, T.; Bollen, H.; Nuyts, S. EffEx-HN trial: Study protocol for a randomized controlled trial on the EFFectiveness and feasibility of a comprehensive supervised EXercise program during radiotherapy in Head and Neck cancer patients on health-related quality of life. Trials 2023, 24, 276. [Google Scholar] [CrossRef]
- Moher, D.; Shamseer, L.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst. Rev. 2015, 4, 1. [Google Scholar] [CrossRef]
- Huang, S.H.; O’Sullivan, B. Overview of the 8th Edition TNM Classification for Head and Neck Cancer. Curr. Treat. Options Oncol. 2017, 18, 40. [Google Scholar] [CrossRef]
- Pieters, D.; Witvrouw, E.; Steyaert, A.; Vanden Bossche, L.; Schuermans, J.; Wezenbeek, E. The impact of a 10-week Nordic hamstring exercise programme on hamstring muscle stiffness, a randomised controlled trial using shear wave elastography. J. Sports Sci. 2024, 42, 1579–1588. [Google Scholar] [CrossRef]
- Ridner, S.H.; Deng, J.; Doersam, J.K.; Dietrich, M.S. Lymphedema Symptom Intensity and Distress Surveys-Truncal and Head and Neck, Version 2.0. Lymphat. Res. Biol. 2021, 19, 240–248. [Google Scholar] [CrossRef] [PubMed]
- Bland, J.M.; Altman, D.G. Correlation, regression, and repeated data. Br. Med. J. 1994, 308, 896. [Google Scholar] [CrossRef]
- Bland, J.M.; Altman, D.G. Calculating correlation coefficients with repeated observations: Part 2—Correlation between subjects. Br. Med. J. 1995, 310, 633. [Google Scholar] [CrossRef]
- Bland, J.M.; Altman, D.G. Calculating correlation coefficients with repeated observations: Part 1—Correlation within subjects. Br. Med. J. 1995, 310, 446. [Google Scholar] [CrossRef]
- Chan, Y.H. Biostatistics 104: Correlational analysis. Singap. Med. J. 2003, 44, 614–619. [Google Scholar]
- Bates, D.; Mächler, M.; Bolker, B.; Walker, S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw. 2015, 67, 1–48. [Google Scholar] [CrossRef]
- Halekoh, U.; Højsgaard, S. A Kenward-Roger Approximation and Parametric Bootstrap Methods for Tests in Linear Mixed Models—The R Package pbkrtest. J. Stat. Softw. 2014, 59, 1–32. [Google Scholar] [CrossRef]
- Searle, S.R.; Speed, F.M.; Milliken, G.A. Population Marginal Means in the Linear Model: An Alternative to Least Squares Means. Am. Stat. 1980, 34, 216–221. [Google Scholar] [CrossRef]
- Bakdash, J.Z.; Marusich, L.R. Repeated Measures Correlation. Front. Psychol. 2017, 8, 456. [Google Scholar] [CrossRef]
- Ewertsen, C.; Carlsen, J.; Perveez, M.A.; Schytz, H. Reference Values for Shear Wave Elastography of Neck and Shoulder Muscles in Healthy Individuals. Ultrasound Int. Open 2018, 4, E23–E29. [Google Scholar] [CrossRef]
- Renslo, B.; Alapati, R.; Penn, J.; Yu, K.M.; Sutton, S.; Virgen, C.G.; Sawaf, T.; Sykes, K.J.; Thomas, S.M.; Materia, F.T.; et al. Quantification of Radiation-Induced Fibrosis in Head and Neck Cancer Patients Using Shear Wave Elastography. Cureus 2024, 16, e71159. [Google Scholar] [CrossRef]
- Straub, J.M.; New, J.; Hamilton, C.D.; Lominska, C.; Shnayder, Y.; Thomas, S.M. Radiation-induced fibrosis: Mechanisms and implications for therapy. J. Cancer Res. Clin. Oncol. 2015, 141, 1985–1994. [Google Scholar] [CrossRef]
- Kim, Y.; An, S.Y.; Park, W.; Hwang, J.H. Detection of early changes in the muscle properties of the pectoralis major in breast cancer patients treated with radiotherapy using a handheld myotonometer. Support. Care Cancer 2021, 29, 2581–2590. [Google Scholar] [CrossRef]
- Noel, C.W.; Kwinter, A.; Mifsud, M.; Ringash, J.; Waldron, J.; Chepeha, D.B.; Irish, J.C.; Martino, R.; Gomes, A.; Aziza, E.; et al. Quantifying Neck Fibrosis and Its Functional Implications: Development of the Neck Fibrosis Scale. Laryngoscope 2022, 132, 1015–1021. [Google Scholar] [CrossRef]
- Kim, J.W.; Clark, A.; Birring, S.S.; Atkins, C.; Whyte, M.; Wilson, A.M. Psychometric properties of patient reported outcome measures in idiopathic pulmonary fibrosis. Chronic Respir. Dis. 2021, 18, 14799731211033925. [Google Scholar] [CrossRef]
- Swigris, J.J.; Esser, D.; Conoscenti, C.S.; Brown, K.K. The psychometric properties of the St George’s Respiratory Questionnaire (SGRQ) in patients with idiopathic pulmonary fibrosis: A literature review. Health Qual. Life Outcomes 2014, 12, 124. [Google Scholar] [CrossRef]
- Basaran, E.; Temiz Karadag, D.; Cakir, O.; Gokcen, N.; Yazici, A.; Cefle, A. Divergent perspectives: Exploring the relationships between St. George’s Respiratory Questionnaire and outcome measures in systemic sclerosis-associated interstitial lung disease. Clin. Rheumatol. 2024, 43, 1647–1656. [Google Scholar] [CrossRef]
- Rau, A.; Yannitsos, D.; Grendarova, P.; Qi, S.; Watson, L.; Barbera, L. High Symptom Burden in Patients Receiving Radiotherapy and Factors Associated with Being Offered an Intervention. Curr. Oncol. 2024, 31, 1253–1265. [Google Scholar] [CrossRef]
- Winters-Stone, K.M.; Medysky, M.E.; Savin, M.A. Patient-reported and objectively measured physical function in older breast cancer survivors and cancer-free controls. J. Geriatr. Oncol. 2019, 10, 311–316. [Google Scholar] [CrossRef]
- Oza, S.; Kramer, A.; Ying, J.; Cushman, D.M. The relationship between patient-reported and objective measures of physical function among cancer survivors receiving rehabilitation care: A correlation analysis. PMR 2024, 16, 1223–1232. [Google Scholar] [CrossRef]
- Zhang, Y.; Thandrayen, J.; Soga, K.; Weber, M.; Koczwara, B.; Laidsaar-Powell, R.; Lim, C.Y.S.; Joshy, G.; Banks, E. Physical disability and psychological distress before and after a diagnosis of cancer: Evidence on multiple cancer types from a large Australian cohort study, compared to people without a cancer diagnosis. BMC Med. 2025, 23, 290. [Google Scholar] [CrossRef]
- Dieterich, A.V.; Skerl, K.; Paskali, F.; Gizzi, L.; Azan, M.; Carvalho, G.F.; Kohl, M.; Haueise, A. Longitudinal and transverse muscle stiffness change differently with knee osteoarthritis and do not align with stiffness sensation. Front. Physiol. 2025, 16, 1593851. [Google Scholar] [CrossRef]
- Sawada, T.; Okawara, H.; Nakashima, D.; Iwabuchi, S.; Matsumoto, M.; Nakamura, M.; Nagura, T. Reliability of Trapezius Muscle Hardness Measurement: A Comparison between Portable Muscle Hardness Meter and Ultrasound Strain Elastography. Sensors 2020, 20, 7200. [Google Scholar] [CrossRef]
- McCarney, L.; Lythgo, N.; Fazalbhoy, A.; Moreland, A. Objective measures of stiffness and ratings of pain and stiffness in the gastrocnemii following delayed-onset muscle soreness. J. Bodyw. Mov. Ther. 2025, 41, 187–193. [Google Scholar] [CrossRef]
- Yang, L.; Ling, W.; He, D.; Lu, C.; Ma, L.; Tang, L.; Luo, Y.; Chen, S. Shear wave-based sound touch elastography in liver fibrosis assessment for patients with autoimmune liver diseases. Quant. Imaging Med. Surg. 2020, 11, 1532–1542. [Google Scholar] [CrossRef]
- Ono, J.; Nishi, H.; Takashima, S.; Soejima, S.; Toya, R.; Kumai, Y. Neck stiffness and its correlation with dysphagia after radiotherapy in head and neck cancer. Auris Nasus Larynx 2025, 52, 796–802. [Google Scholar] [CrossRef]



| Characteristic | Mean (SD) | |
|---|---|---|
| Age (years) | 64.3 (11.3) | |
| BMI (kg/m2) | 26.4 (5.5) | |
| N (%) | ||
| Gender | ||
| Female | 15 (26.8%) | |
| Male | 41 (73.2%) | |
| Genetic ancestry | ||
| Black or African American | 2 (3.6%) | |
| Other | 3 (5.4%) | |
| White | 51 (91.1%) | |
| Marital status | ||
| Married/living together | 40 (71.4%) | |
| Single/divorced/widowed | 16 (28.6%) | |
| Work status | ||
| Paid employed | 12 (21.4%) | |
| Self-employed | 6 (10.7%) | |
| Temporarily disabled for work/other | 4 (7.1%) | |
| Unemployed/household/retired | 34 (60.7%) | |
| Tumour location | ||
| Hypopharynx | 7 (12.5%) | |
| Larynx | 6 (10.7%) | |
| Nasal cavity/paranasal sinuses | 3 (5.4%) | |
| Nasopharynx | 3 (5.4%) | |
| Oral cavity | 11 (19.6%) | |
| Oropharynx | 13 (23.2%) | |
| Other | 8 (14.3%) | |
| Salivary gland | 1 (1.8%) | |
| Thyroid | 4 (7.1%) | |
| Stage | ||
| 1 | 9 (16.1%) | |
| 2 | 10 (17.9%) | |
| 3 | 16 (28.6%) | |
| 4 | 21 (37.5%) | |
| T stage | ||
| T0 (Unknown) | 7 (12.5%) | |
| T1 | 7 (12.5%) | |
| T2 | 22 (39.3%) | |
| T3 | 10 (17.9%) | |
| T4 | 10 (17.9%) | |
| N stage | ||
| N0 | 15 (26.8%) | |
| N1 | 21 (37.5%) | |
| N2 | 16 (28.6%) | |
| N3 | 4 (7.1%) | |
| Treatment | ||
| Chemoradiotherapy | 16 (28.6%) | |
| Radiotherapy | 19 (33.9%) | |
| Surgery and post-operative chemoradiotherapy | 10 (17.9%) | |
| Surgery and post-operative radiotherapy | 11 (19.6%) | |
| Surgery | ||
| Not applicable | 35 (62.5%) | |
| Only neck dissection | 2 (3.6%) | |
| Only tumour removal | 1 (1.8%) | |
| Tumour removal and neck dissection | 18 (32.1%) | |
| Neck dissection | ||
| Bilateral | 6 (10.7%) | |
| Unilateral | 14 (25.0%) | |
| Not applicable | 36 (64.3%) | |
| Radiation side of the SCM | ||
| Left | 6 (10.7%) | |
| Bilateral | 46 (82.1%) | |
| Right | 4 (7.1%) | |
| Radiation dose received at the SCM region per side (n = 102) | ||
| Elective | 63 | |
| High | 39 | |
| Timepoint | Participants Assessed for LSIDS-H&N (n) | LSIDS-H&N Total Score Missing * (n) | SWE Missing † (SCM Side Level, n = 102) |
|---|---|---|---|
| 1 week after the start of RT | 56 | 21 | 51 |
| 6 weeks after the start of RT | 52 | 30 | 66 |
| 12 weeks after the start of RT | 47 | 23 | 57 |
| 6 months after the start of RT | 50 | 31 | 54 |
| 12 months after the start of RT | 44 | 28 | 60 |
| Observed Data | |||||
|---|---|---|---|---|---|
| 1 Week After the Start of RT (Baseline) | 6 Weeks After the Start of RT | 12 Weeks After the Start of RT | 6 Months After the Start of RT | 12 Months After the Start of RT | |
| Muscle stiffness measured with SWE (m/s) | |||||
| Mean (SD; range) (m/s) | 3.47 (0.63; 2.26–5.24) | 3.67 (0.74; 2.32–5.05) | 3.83 (1.03; 3.52–4.14) | 4.22 (1.86; 2.21–11.11) | 5.53 (2.58; 2.03–13.31) |
| 95% CI | 3.29–3.65 | 3.42–3.91 | 3.52–4.14 | 3.68–4.76 | 4.73–6.34 |
| N | 51 | 36 | 45 | 48 | 42 |
| Self-reported fibrosis-related symptoms measured with LSIDS-H&N (0–10) | |||||
| Mean (SD; range) | 1.18 (1.13; 0–3.62) | 1.61 (1.46; 0–4.48) | 1.47 (1.42; 0–4.19) | 0.95 (1.34; 0–5.74) | 1.11 (1.00; 0–3.12) |
| 95% CI | 0.79–1.57 | 0.96–2.25 | 0.87–2.07 | 0.31–1.60 | 0.58–1.64 |
| N | 35 | 22 | 24 | 19 | 16 |
| Fixed Effects | |||||
|---|---|---|---|---|---|
| 1 Week After the Start of RT (Baseline) | 6 Weeks After the Start of RT | 12 Weeks After the Start of RT | 6 Months After the Start of RT | 12 Months After the Start of RT | |
| Muscle stiffness measured with SWE (m/s) * | |||||
| Estimate mean (m/s) | 4.12 | 4.38 | 4.32 | 4.76 | 4.92 |
| SE | 0.22 | 0.25 | 0.23 | 0.25 | 0.28 |
| 95% CI | 3.71–4.57 | 3.92–4.90 | 3.89–4.80 | 4.29–5.28 | 4.39–5.51 |
| Tukey post hoc | Baseline < 6 months (ratio = 0.86; p = 0.007) and 12 months (ratio = 0.84; p = 0.012) | ||||
| Self-reported fibrosis-related symptoms measured with LSIDS-H&N * | |||||
| Estimated mean | 0.96 | 1.59 | 1.21 | 0.83 | 0.94 |
| SE | 0.19 | 0.33 | 0.25 | 0.22 | 0.26 |
| 95% CI | 0.66–1.41 | 1.06–2.39 | 0.80–1.82 | 0.49–1.41 | 0.55–1.60 |
| Tukey post hoc | No significant pairwise differences | ||||
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Verbeelen, K.; De Groef, A.; Van Aperen, K.; Gursen, C.; Nuyts, S.; Devoogdt, N.; Mertens, M.G.C.A.M. Longitudinal Evaluation of Sternocleidomastoid Muscle Stiffness and Self-Reported Fibrosis-Related Symptoms After Radiotherapy in Patients with Head and Neck Cancer. Cancers 2026, 18, 1928. https://doi.org/10.3390/cancers18121928
Verbeelen K, De Groef A, Van Aperen K, Gursen C, Nuyts S, Devoogdt N, Mertens MGCAM. Longitudinal Evaluation of Sternocleidomastoid Muscle Stiffness and Self-Reported Fibrosis-Related Symptoms After Radiotherapy in Patients with Head and Neck Cancer. Cancers. 2026; 18(12):1928. https://doi.org/10.3390/cancers18121928
Chicago/Turabian StyleVerbeelen, Kaat, An De Groef, Kaat Van Aperen, Ceren Gursen, Sandra Nuyts, Nele Devoogdt, and Michel G. C. A. M. Mertens. 2026. "Longitudinal Evaluation of Sternocleidomastoid Muscle Stiffness and Self-Reported Fibrosis-Related Symptoms After Radiotherapy in Patients with Head and Neck Cancer" Cancers 18, no. 12: 1928. https://doi.org/10.3390/cancers18121928
APA StyleVerbeelen, K., De Groef, A., Van Aperen, K., Gursen, C., Nuyts, S., Devoogdt, N., & Mertens, M. G. C. A. M. (2026). Longitudinal Evaluation of Sternocleidomastoid Muscle Stiffness and Self-Reported Fibrosis-Related Symptoms After Radiotherapy in Patients with Head and Neck Cancer. Cancers, 18(12), 1928. https://doi.org/10.3390/cancers18121928

