Assessment of Myofascial Trigger Points with ultrasound: a methodology combining external vibration with Power Doppler Imaging and B-mode
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Abstract
Introduction: This case series explores a novel methodology for identifying myofascial trigger points (MTrPs) by integrating Doppler and B-mode ultrasound with externally applied vibratory stimulation. The study aims to address the current lack of accessible and objective tools for MTrP assessment in clinical settings.
Case presentation: Five participants were included: four healthy individuals and one post-stroke patient. A custom-designed vibration device was developed to apply mechanical stimulation to the gastrocnemius medialis muscle, while ultrasound imaging was collected using a standardized setup. To optimize vibration signal detection within muscle tissue, different configurations of the electrodes transmitting the vibration and the Doppler modes (Color Doppler and Power Doppler Imaging (PDI)) were tested.
Results: PDI demonstrated superior sensitivity to vibration-induced muscle responses compared to conventional Color Doppler. A consistent pattern was identified among healthy participants. This pattern consisted of well-defined, non-vibratory zones surrounded by vibratory regions, corresponding to hypoechoic areas on B-mode ultrasound. These findings are suggestive of MTrPs and distinct from other stiff anatomical structures, such as fascia, tendons, or fibrotic tissue, which appear hyperechoic. In the stroke patient, pathological muscle adaptations reduced the consistency and visibility of vibratory stimulus propagation; however, MTrP-compatible areas were still identified. Notably, dry needling altered the Doppler signal in this case, attenuating the previously observed pattern.
Conclusions: This proof-of-concept study demonstrates the feasibility and reproducibility of a cost-effective assessment protocol that uses conventional ultrasound modes. Combining PDI, B-mode, and vibration may improve the objective identification of MTrPs and expand capabilities in musculoskeletal practice.
Keywords
- Myofascial trigger points
- Diagnostic imaging
- Doppler ultrasound
- Vibration
References
Cook CE, Degenhardt B, Aspinall S, Nim C, Malik S, Keter D. Myofascial Pain Syndromes: Controversies and Suggestions for Improving Diagnosis and Treatment. J Orthop Sports Phys Ther. 2025;55. doi: 10.2519/jospt.2025.13072.
Steen JP, Jaiswal KS, Kumbhare D. Myofascial Pain Syndrome: An Update on Clinical Characteristics, Etiopathogenesis, Diagnosis, and Treatment. Muscle Nerve. 2025;71. doi: 10.1002/mus.28377.
Duarte FCK, West DWD, Linde LD, Hassan S, Kumbhare DA. Re-Examining Myofascial Pain Syndrome: Toward Biomarker Development and Mechanism-Based Diagnostic Criteria. Curr Rheumatol Rep. 2021;23. doi: 10.1007/s11926-021-01024-8.
Barbero M, Schneebeli A, Koetsier E, Maino P. Myofascial pain syndrome and trigger points: evaluation and treatment in patients with musculoskeletal pain. Curr Opin Support Palliat Care. 2019;13. doi: 10.1097/SPC.0000000000000445.
Myburgh C, Larsen AH, Hartvigsen J. A systematic, critical review of manual palpation for identifying myofascial trigger points: evidence and clinical significance. Arch Phys Med Rehabil. 2008;89. doi: 10.1016/j.apmr.2007.12.033.
Di Ieva A, Grizzi F, Rognone E, Tse ZT, Parittotokkaporn T, Rodriguez Y Baena F, Tschabitscher M, Matula C, Trattnig S, Rodriguez Y Baena R. Magnetic resonance elastography: a general overview of its current and future applications in brain imaging. Neurosurg Rev. 2010;33. doi: 10.1007/s10143-010-0249-6.
Landgraf MN, Ertl-Wagner B, Koerte IK, Thienel J, Langhagen T, Straube A, von Kries R, Reilich P, Pomschar A, Heinen F. Alterations in the trapezius muscle in young patients with migraine--a pilot case series with MRI. Eur J Paediatr Neurol. 2015;19. doi: 10.1016/j.ejpn.2014.12.021.
Sollmann N, Mathonia N, Weidlich D, Bonfert M, Schroeder SA, Badura KA, Renner T, Trepte-Freisleder F, Ganter C, Krieg SM, Zimmer C, Rummeny EJ, Karampinos DC, Baum T, Landgraf MN, Heinen F. Quantitative magnetic resonance imaging of the upper trapezius muscles - assessment of myofascial trigger points in patients with migraine. J Headache Pain. 2019;20. doi: 10.1186/s10194-019-0960-9.
Gerwin RD, Cagnie B, Petrovic M, Van Dorpe J, Calders P, De Meulemeester K. Foci of Segmentally Contracted Sarcomeres in Trapezius Muscle Biopsy Specimens in Myalgic and Nonmyalgic Human Subjects: Preliminary Results. Pain Med. 2020;21. doi: 10.1093/pm/pnaa019.
Jin F, Guo Y, Wang Z, Badughaish A, Pan X, Zhang L, Qi F. The pathophysiological nature of sarcomeres in trigger points in patients with myofascial pain syndrome: A preliminary study. Eur J Pain. 2020;24. doi: 10.1002/ejp.1647.
Shah JP, Phillips TM, Danoff JV, Gerber LH. An in vivo microanalytical technique for measuring the local biochemical milieu of human skeletal muscle. J Appl Physiol (1985). 2005;99. doi: 10.1152/japplphysiol.00419.2005.
Sikdar S, Shah JP, Gilliams E, Gebreab T, Gerber LH. Assessment of myofascial trigger points (MTrPs): a new application of ultrasound imaging and vibration sonoelastography. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008. doi: 10.1109/IEMBS.2008.4650480.
Sikdar S, Shah JP, Gebreab T, Yen RH, Gilliams E, Danoff J, Gerber LH. Novel applications of ultrasound technology to visualize and characterize myofascial trigger points and surrounding soft tissue. Arch Phys Med Rehabil. 2009;90. doi: 10.1016/j.apmr.2009.04.015
Ballyns JJ, Shah JP, Hammond J, Gebreab T, Gerber LH, Sikdar S. Objective sonographic measures for characterizing myofascial trigger points associated with cervical pain. J Ultrasound Med. 2011;30. doi: 10.7863/jum.2011.30.10.1331.
Ballyns JJ, Turo D, Otto P, Shah JP, Hammond J, Gebreab T, Gerber LH, Sikdar S. Office-based elastographic technique for quantifying mechanical properties of skeletal muscle. J Ultrasound Med. 2012;31. doi: 10.7863/jum.2012.31.8.1209.
Turo D, Otto P, Shah JP, Heimur J, Gebreab T, Zaazhoa M, Armstrong K, Gerber LH, Sikdar S. Ultrasonic characterization of the upper trapezius muscle in patients with chronic neck pain. Ultrason Imaging. 2013;35. doi: 10.1177/0161734612472408.
Zhang M, Xie K. Advances in Musculoskeletal Ultrasound for Assistive Diagnosis in Pain Clinics. Pain Ther. 2025;14. doi: 10.1007/s40122-025-00721-x.
Srbely JZ, Kumbhare D, Grosman-Rimon L. A narrative review of new trends in the diagnosis of myofascial trigger points: diagnostic ultrasound imaging and biomarkers. J Can Chiropr Assoc. 2016;60. PMID: 27713577
Elbarbary M, Sgro A, Goldberg M, Tenenbaum H, Azarpazhooh A. Diagnostic Applications of Ultrasonography in Myofascial Trigger Points: A Scoping Review and Critical Appraisal of Literature. J Diagn Med Sonogr. 2022;38. doi:10.1177/87564793221102593.
Lapuente-Hernández D, Alboloushi Z, Aljobrani C, Herrero P, Gómez-Trullén EM. B-mode ultrasound characterization of myofascial trigger points and their response to physiotherapy interventions: a systematic review. Invasive Physiother Musculoskelet Med. 2025;1. doi: 10.63360/ipmm.v1.e3.
Shah JP, Gilliams EA. Uncovering the biochemical milieu of myofascial trigger points using in vivo microdialysis: an application of muscle pain concepts to myofascial pain syndrome. J Bodyw Mov Ther. 2008;12. doi: 10.1016/j.jbmt.2008.06.006.
Margalef R, Sisquella M, Bosque M, Romeu C, Mayoral O, Monterde S, Priego M, Guerra-Perez R, Ortiz N, Tomàs J, Santafe MM. Experimental myofascial trigger point creation in rodents. J Appl Physiol (1985). 2019;126. doi: 10.1152/japplphysiol.00248.2018.
Chen Q, Bensamoun S, Basford JR, Thompson JM, An KN. Identification and quantification of myofascial taut bands with magnetic resonance elastography. Arch Phys Med Rehabil. 2007;88. doi: 10.1016/j.apmr.2007.07.020.
Fernández-de-Las-Peñas C, Dommerholt J. International Consensus on Diagnostic Criteria and Clinical Considerations of Myofascial Trigger Points: A Delphi Study. Pain Med. 2018;19. doi: 10.1093/pm/pnx207.
Rubin JM, Bude RO, Carson PL, Bree RL, Adler RS. Power Doppler US: a potentially useful alternative to mean frequency-based color Doppler US. Radiology. 1994;190. doi: 10.1148/radiology.190.3.8115639.
Smith E, Azzopardi C, Thaker S, Botchu R, Gupta H. Power Doppler in musculoskeletal ultrasound: uses, pitfalls and principles to overcome its shortcomings. J Ultrasound. 2021;24. doi: 10.1007/s40477-020-00489-0.
Richards PJ, Win T, Jones PW. The distribution of microvascular response in Achilles tendonopathy assessed by colour and power Doppler. Skeletal Radiol. 2005;34. doi: 10.1007/s00256-004-0834-2.
Weskott HP. Amplitude Doppler US: slow blood flow detection tested with a flow phantom. Radiology. 1997;202. doi: 10.1148/radiology.202.1.8988201.
Yang X, Pugh ND, Coleman DP, Nokes LD. Are Doppler studies a useful method of assessing neovascularization in human Achilles tendinopathy? A systematic review and suggestions for optimizing machine settings. J Med Eng Technol. 2010;34. doi: 10.3109/03091902.2010.497892.
Martinoli C, Pretolesi F, Crespi G, Bianchi S, Gandolfo N, Valle M, Derchi LE. Power Doppler sonography: clinical applications. Eur J Radiol. 1998;27 Suppl 2. doi: 10.1016/s0720-048x(98)00054-0.
Hamper UM, DeJong MR, Caskey CI, Sheth S. Power Doppler imaging: clinical experience and correlation with color Doppler US and other imaging modalities. Radiographics. 1997;17. doi: 10.1148/radiographics.17.2.9084086.
Risch L, Cassel M, Messerschmidt J, et al. Is Sonographic Assessment of Intratendinous Blood Flow in Achilles Tendinopathy Patients Reliable?: Consistency of Doppler Ultrasound Modes and Intra- and Inter-observer Reliability. Ultrasound Int Open. 2016;2. doi:10.1055/s-0035-1569286.
Sikdar S, Ortiz R, Gebreab T, Gerber LH, Shah JP. Understanding the vascular environment of myofascial trigger points using ultrasonic imaging and computational modeling. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010. doi: 10.1109/IEMBS.2010.5626326.
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Copyright (c) 2025 Pablo Herrero , Diego Lapuente Hernández, Teresa Blanco , Roberto Casas , Fermín Valera-Garrido , Francisco Minaya-Muñoz , José Gomes Monres , Eva María Gómez-Trullén

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