黑料网

Quantifiable Soft Tissue Manipulation (QSTM): A Requisite to Advance the Field of Manual Therapy

¹Department of Physical Therapy, Indiana University Purdue University, Indianapolis, USA

²Department of Mechanical Engineering, Indiana University Purdue University, Indianapolis, USA

³Department of Electrical Engineering, Indiana University Purdue University, Indianapolis, USA

⁴School of Medicine, Indiana University Purdue University, Indianapolis, USA

*Corresponding Author:

Marry Terry Loghmani
Department of Physical Therapy
Indiana University Purdue University
114O W. Michigan St. CF326, Indianapolis
IN 46202, USA
Tel: +1-317-691-0175
E-mail: mloghman@iu.edu

Received date: November 29, 2016; Accepted date: December 23, 2016; Published date: December 30, 2016

Citation: Loghmani MT, Neff B, Alotaibi AM, Anwar S, Chien S, et al. (2016) Quantifiable Soft Tissue Manipulation (QSTM): A Requisite to Advance the Field of Manual Therapy. J Nov Physiother 6:326. doi: 10.4172/2165-7025.1000326

Copyright: © 2016 Loghmani MT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Novel Physiotherapies

Abstract

Quantifiable soft tissue manipulation (QSTM) that can characterize the motion and forces delivered during soft tissue examination and treatment of common musculoskeletal (MS) conditions in a real-time and clinically applicable manner is needed to achieve optimal outcomes. Soft tissue manipulation (STM), e.g. massage, is a type of mechanotherapy that has been used with benefit frequently by clinicians worldwide since ancient times. Instrument-assisted STM (IASTM) is a type of STM that uses rigid devices to assess and treat soft tissue abnormalities in a targeted and precise manner. Remarkably, however, the forces delivered during STM approaches have not been adequately quantified. Unlike other mechano-therapeutic approaches, e.g. ultrasound, traction, exercise, electrical stimulation, current manual therapy practice relies mostly on subjective description of STM evaluation findings and treatment parameters. This makes documentation, analysis, comparison, progression and optimization of this non-invasive intervention difficult to establish and validate. It is the authors’ strong opinion that there is need for QSTM to objectively measure, characterize and record the 3-dimensional (3D) forces and motion trajectories of STM evaluation and intervention. Innovative technology aimed to help address this void in research, educational and clinical practice has been developed by our research team and introduced in this article. The QSTM system has two components: an electronic, handheld device (applicator) for 3D characterization of force and a computer with software for data acquisition and analysis. Preliminary testing has demonstrated that the QSTM prototype can provide accurate sensed values and good intra-, inter-rater reliability. Device revisions are in progress and further testing is planned in animals and humans. QSTM is an essential technology needed for the standardization, comparison and optimization of STM therapies and a requisite to advance the field of manual therapy.

Keywords

Soft tissue manipulation; Soft tissue mobilization; Manual therapy; Massage; Physical therapy; Rehabilitation

Introduction

Musculoskeletal (MS) conditions are frequently treated by clinicians, with low back pain (LBP) being the leading cause of disability in the United States [1,2]. Soft manipulation (STM), e.g. massage, is a type of manual therapy often used to address MS conditions and a variety of other [3,4]. Instrument-assisted STM (IASTM) is a type of STM that uses rigid devices with demonstrated benefits [5-14]. Although STM is an ancient intervention used worldwide with known positive effects, much remains to be understood about its mechanisms and optimal outcomes [3,15-17]. In essence, STM is a form of mechanotherapy that imparts a mechanical stimulus to the tissue [18]. Since cells are mechanosensitive, STM possesses the potential to directly influence cell and tissue structure and function [19,20]. Although STM dose-frequency studies are available, the literature is void of replicable clinically-applicable dose-pressure studies; in large part due to the lack of adequate quantification methods for STM motion and force in patients [21-24]. Attempts to quantify STM forces have been made in animals and in humans, but none of these methods are applicable for realistic, real-time clinical use [24-32]. This poses a significant gap in the current understanding of the underlying biological mechanisms of STM and markedly limits the ability (1) to document, replicate and reproduce STM applications, (2) to monitor, adjust, and advance the STM treatment methodology; and (3) to establish optimal STM dosing protocols specific to different clinical conditions. Other therapeutic modalities, e.g. ultrasound, electrical stimulation, traction, etc. have parameters that can be monitored objectively, but characterization of STM evaluation and treatment is mostly relegated to the use of subjective qualifiers. Thus, it is the opinion of the authors that quantifiable soft tissue manipulation (QSTM) needs to become a new standard of patient care in soft tissue manipulation and is requisite to advance the field of manual therapy.

QSTM is advancement in current IASTM practice and has important implications in research, clinical practice and education/training. It cannot replace the use of manual contact, nor serve as a substitute for the complexity of clinician’s judgment in sensing soft tissue quality, monitoring patient response and adjusting treatment parameters. However, QSTM rehabilitation technology would significantly elevate the objectivity in soft tissue evaluation and treatment. QSTM is needed to complete dose-pressure response studies in a clinically relevant manner, to establish optimal dose parameters (e.g. pressure, rate, angle of force, duration reflecting STM intensity and depth) and force patterns leading to optimal outcomes for various musculoskeletal disorders at different stages of healing and repair. For example, depending on the condition, or stage of tissue healing, it needs to be determined whether light force or more aggressive STM force is most indicated. Patterns of recovery can also be established in that some conditions may require diminishing or escalating STM force across treatment sessions. The implications of QSTM in research seem apparent; however, the availability of QSTM for clinical use is essential for applying research findings in evidence-based practice. QSTM is needed to foster consistency and replication within and between therapists and across sessions; comparison of protocols and resultant outcomes; provide objective measures demonstrating progression or regression in soft tissue quality; document and modify treatment parameters; and provide objective feedback to the patient, all of which will catalyze a paradigm shift in soft tissue treatment. Importantly, QSTM will facilitate education and training in manual therapy by providing objective feedback to the learner. In response to the need for more objective characterization of STM evaluation and intervention, our team has designed, fabricated and initially evaluated a STM mechano-therapeutic motion and force sensing device system prototype that provides real-time quantification of motion and force.

Materials and Methods

An electronic, handheld quantifiable soft tissue manipulation (QSTM^TM) device system was developed based on established criteria (US Patent Filed: PCT/US2016/052164) [33,34]. It needed to be userfriendly, durable, water-proof, and provide information on treatment parameters (e.g. stroke force, angle, frequency, duration) in real-time, in a clinically relevant and applicable manner. The system includes an ergonomically designed IASTM device (applicator) (Figure 1) that uses modern sensor technologies, as well as state of the art computing and communication technologies to revolutionize the practice of STM. The QSTMTM system also consists of a data acquisition system and Windows/Android/OSX compatible computer technology. The sensed motion and force data are streamed to the computer that performs sensor fusion and displays the force, orientation angles, and manipulation motion pattern at -tool interface in real time (Figure 2). The QSTM system can also detect the reaction force disturbance caused by the tissue restrictions and irregularities assisting examination of soft tissue quality.

Figure 1: Sensor based QSTM device. A schematic drawing of a QSTM^TM device prototype is illustrated in A) depicting the treatment tip (white asterisk), location of the force transducer (white arrow), device handle (black asterisk), and wire connection (black arrow). B) The QSTM device prototype being used for cross fiber massage to the forearm.

Figure 2: Block diagram and figure of a QSTM device system prototype. The QSTM^TM device applicator (1) connects to a host PC (4) through a signal processor (3) and an USB data acquisition card (2).

Results

Preliminary testing was conducted to test the accuracy of the device compared to an external reference scale for maximal compression with the device at 90° with respect to the scale plate, and then again at 45° with respect to the scale plate, and to initially evaluate the inter-rater and intra-rater reliability of the QSTM^TM device force measurements between two novice clinicians with compressions of the device held at 90° against the force plate. With the QSTM device held at a 90° angle device to the plate, the average force was 21.88 (4.9 lbs) ± 4.18N (0.94 lbs), range 15.38 (3.46 lbs) -30.11N (6.77 lbs) (n=60 trials), and the accuracy of the device was excellent for determining compressive force, within 1N, as compared to the external device (at 90°, ρ=0.92; at 45°, ρ=0.97). Intra-rater reliability was better for examiner B than A (n=15 trials) (Examiner A, ICC=0.220, p=0.324, 95% CI=1.323- 0.738; Examiner B (ICC=0.619, p=0.041, 95% CI=-0.136-0.872), and inter-rater reliability was good (Cronbach’s alpha=0.653, ICC=0.653, p=0.003, 95% CI=0.271-0.835). Based on initial findings, device revisions are in progress. Future studies will further validate the system in animals and humans.

Conclusion

QSTM is essential to advance the field of manual therapy to the level of a mechanotherapy prescription. Novel QSTM technology will permit STM protocols to be better established, validated, standardized and compared for a wide variety of diagnoses across the life span.

References

1. Picavet HS, Hazes JM (2003)
2. Hoy DG, Smith E, Cross M, Sanchez-Riera L, Blyth FM, et al. (2015)
3. Field T (2016)
4. Karels C, Polling W, Bierma-Zeinstra S (2006)
5. Brosseau L, Wells GA, Poitras S, Tugwell P, Casimiro L, et al. (2012)
6. Loghmani MT, Bane S (2016)
7. Loghmani MT, Warden SJ (2009)
8. Loghmani MT, Warden SJ (2013)
9. Davidson CJ, Ganion LR, Gehlsen GM, Verhoestra B, Roepke JE, et al. (1997)
10. Looney B, Srokose T (2011)
11. Bayliss AJ, Klene F, Gundeck E, Loghmani MT (2011)
12. McCrea EC, George SZ (2010) Outcomes following augmented soft tissue mobilization for patients with knee pain: A case series.  Orthopaedic Physical Therapy Practice22:69-74.
13. Burke J, Buchberger DJ, Carey-Loghmani MT, Dougherty PE, Greco DS, et al. (2007)
14. Vardiman JP, Siedlik J, Herda T, Hawkins W, Cooper M,et al. (2014)
15. Kong LJ, Zhan HS, Cheng YW (2013)
16. Kumar S, Beaton K, Hughes T (2013)
17. Weerapong P, Hume PA, Kolt GS (2005)
18. Huang C, Holfeld J, Schaden W, Orgill D, Ogawa R (2013)
19. Thompson WR, Scott A, Loghmani MT, Ward SR, Warden SJ (2016)
20. Best TM, Gharibeh B, Huard J (2013)
21. Sherman KJ, Cook AJ, Kahn JR, Hawkes RJ, Wellman RD, et al. (2012)
22. Sherman KJ, Cook AJ, Well RD, Hawkes RJ, Kahn FR, et al. (2014)
23. Cook AJ, Wellman RD, Cherkin DC, Kahn JR, Sherman KJ (2015)
24. Best TM, Crawford SK, Haas C, Charles L, Zhao Y (2014)
25. Wang Q, Zeng H, Best TM, Haas C, Heffner NT, et al. (2014)
26. Gehlsen GM, Ganion LR, Helfst R (1999)
27. Haas C, Butterfield TA, Zhao Y, Zhang X, Jarjoura D, et al. (2013)
28. Hass C, Butterfield TA, Abshire S, Zhang X, Jarjoura D, et al. (2013)
29. Haas C, Best TM, Wang Q, Buterfield TA, Zhao Y (2012)
30. Butterfield TA, Zhao Y, Agarwal S, Haq F, Best TM (2008)
31. Zeng H, Butterfield TA, Agarwal S, Haq F, Best TM, et al. (2008)
32. Lee H, Wu S, You J (2009)
33. Loghmani MT, Anwar S, Alotaibi A, March K,Chien S (2016) “Quantification of Force during Soft tissue Massage for Research and Clinical Use”, US Patent Application No. PCT/US2016/052164.
34. Alotaibi A, Anwar S, Chien S, Loghmani MT (2016) Development of a Force Sensing Instrument Assisted Soft Tissue Mobilization Device. Proceeding ASME International Mechanical Engineering Congress and Exposition, Phoenix, AZ, USA.