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David M, Devantéry K, Nauche B, Chagnon M, Keezer M, Gaudreault N, Bureau NJ, Cloutier G. Ultrasound elastography of back muscle biomechanical properties: a systematic review and meta-analysis of current methods. Insights Imaging 2024; 15:206. [PMID: 39143409 PMCID: PMC11324641 DOI: 10.1186/s13244-024-01785-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/23/2024] [Indexed: 08/16/2024] Open
Abstract
OBJECTIVES To report the current elastography methods used to quantify back muscles' biomechanical characteristics in patients with musculoskeletal disorders (MSKd) and inform on their reliability, validity, and responsiveness. METHODS MEDLINE, Embase, CINAHL, Cochrane library and grey literature were consulted. Predefined criteria allowed for study selection and data extraction. The quality of evidence was rated using the COSMIN tool. Data were meta-analyzed in terms of pooled intraclass correlation coefficient (pICC) for reliability and pooled standardized mean difference (pSMD) for validity and responsiveness. Heterogeneity was assessed. RESULTS Seventy-nine studies were included in the meta-analysis (total number of participants N = 3178). Three elastography methods were identified: strain imaging (SI; number of cohorts M = 26), shear wave imaging (SWI; M = 50), and vibration sonoelastography (VSE; M = 3). Strain imaging and SWI studies reported good reliability measurement properties (pICC > 0.70) and a medium pSMD (0.58 for SI and 0.60 for SWI; p ≤ 0.020) in discriminating MSKd from controls' condition (validity). Strain imaging studies reported a medium pSMD (0.64; p = 0.005) in detecting within-group changes over time, whereas SWI pSMD was very high (1.24; p = 0.005). Only SWI reported significant but small pSMD (0.30; p = 0.003) in detecting between-group changes over time. The small number of VSE studies could not be meta-analyzed. Heterogeneity was high (I-squared > 90%; p < 0.001). CONCLUSIONS Elastography presents good reliability results and a medium pSMD in discriminating MSKd from control conditions. Responsiveness data suggest detectable changes within groups over time using SI and SWI, calling for long-term longitudinal studies. Assessing changes between groups over time using elastography still needs to be proven. Highly significant heterogeneity limits meta-analytic results. CRITICAL RELEVANCE STATEMENT While still in its early-stage exploration phase, musculoskeletal ultrasound elastography may reliably quantify back muscles' biomechanics in asymptomatic individuals, moderately discriminate back musculoskeletal disorders and detect biomechanical changes over time in these conditions, calling for long-term longitudinal studies. KEY POINTS Ultrasound elastography is reviewed for back pain and related musculoskeletal disorder assessments. Growing literature supports good reproducibility, some validity and responsiveness. Back muscle elastography considers assumptions calling for standardized protocols.
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Affiliation(s)
- Mercedes David
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, QC, H2L 2W5, Canada
- Institute of Biomedical Engineering, University of Montreal, Montreal, QC, H3C 3J7, Canada
| | | | | | - Miguel Chagnon
- Department of Mathematics and Statistics, University of Montreal, Montreal, QC, H2C 3J7, Canada
| | - Mark Keezer
- University of Montreal Hospital, Montreal, QC, H3X 0C1, Canada
- Department of Neurology, University of Montreal, Montreal, QC, H2C 3J7, Canada
| | | | - Nathalie J Bureau
- University of Montreal Hospital, Montreal, QC, H3X 0C1, Canada
- Department of Radiology, Radio-Oncology and Nuclear Medicine, University of Montreal, Montreal, QC, H3C 3J7, Canada
| | - Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, QC, H2L 2W5, Canada.
- Institute of Biomedical Engineering, University of Montreal, Montreal, QC, H3C 3J7, Canada.
- Department of Radiology, Radio-Oncology and Nuclear Medicine, University of Montreal, Montreal, QC, H3C 3J7, Canada.
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Varol U, Valera-Calero JA, Ortega-Santiago R, López-Redondo M, Navarro-Santana MJ, Plaza-Manzano G, Belón-Pérez P. Cervical Multifidus Stiffness Assessment in Individuals with and without Unilateral Chronic Neck Pain: An Inter-Examiner Reliability Study. Bioengineering (Basel) 2024; 11:500. [PMID: 38790366 PMCID: PMC11118170 DOI: 10.3390/bioengineering11050500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/08/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
This study aimed to evaluate the inter-examiner reliability of shear wave elastography (SWE) for measuring cervical multifidus (CM) muscle stiffness in asymptomatic controls and patients with chronic neck pain. A longitudinal observational study was conducted to assess the diagnostic accuracy of a procedure. SWE images, following a detailed procedure previously tested, were acquired by two examiners (one novice and one experienced) to calculate the shear wave speed (SWS) and Young's modulus. The painful side was examined for the experimental cases while the side examined in the control group was selected randomly. Data analyses calculated the intra-class correlation coefficients (ICCs), absolute errors between examiners, standard errors of measurement, and minimal detectable changes. A total of 125 participants were analyzed (n = 54 controls and n = 71 cases). The Young's modulus and SWS measurements obtained by both examiners were comparable within the asymptomatic group (both, p > 0.05) and the chronic neck pain group (both, p > 0.05). Nonetheless, a notable distinction was observed in the absolute error between examiners for shear wave speed measurements among patients with neck pain, where a significant difference was registered (p = 0.045), pointing to a sensitivity in measurement consistency affected by the presence of chronic neck pain. ICCs demonstrated moderate-to-good reliability across both groups, with ICC values for asymptomatic individuals reported as >0.8. Among the chronic neck pain patients, ICC values were slightly lower (>0.780). The study revealed moderate-to-good consistency, highlighting the practicality and generalizability of SWE.
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Affiliation(s)
- Umut Varol
- Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain;
| | - Juan Antonio Valera-Calero
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain; (J.A.V.-C.); (M.J.N.-S.); (G.P.-M.)
- Grupo InPhysio, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Ricardo Ortega-Santiago
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain;
| | - Mónica López-Redondo
- Faculty of Health Sciences, Universidad Francisco de Vitoria, 28223 Madrid, Spain
| | - Marcos José Navarro-Santana
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain; (J.A.V.-C.); (M.J.N.-S.); (G.P.-M.)
- Grupo InPhysio, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Gustavo Plaza-Manzano
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain; (J.A.V.-C.); (M.J.N.-S.); (G.P.-M.)
- Grupo InPhysio, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Pedro Belón-Pérez
- Department of Physical Therapy, Real Madrid C.F., 28055 Madrid, Spain;
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Haueise A, Le Sant G, Eisele-Metzger A, Dieterich AV. Is musculoskeletal pain associated with increased muscle stiffness? Evidence map and critical appraisal of muscle measurements using shear wave elastography. Clin Physiol Funct Imaging 2024; 44:187-204. [PMID: 38155545 DOI: 10.1111/cpf.12870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 11/13/2023] [Accepted: 12/20/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION AND AIMS Approximately 21% of the world's population suffers from musculoskeletal conditions, often associated with sensations of stiff muscles. Targeted therapy requires knowing whether typically involved muscles are objectively stiffer compared to asymptomatic individuals. Muscle stiffness is quantified using ultrasound shear wave elastography (SWE). Publications on SWE-based comparisons of muscle stiffness between individuals with and without musculoskeletal pain are increasing rapidly. This work reviewed and mapped the existing evidence regarding objectively measured muscle stiffness in musculoskeletal pain conditions and surveyed current methods of applying SWE to measure muscle stiffness. METHODS A systematic search was conducted in PubMed and CINAHL using the keywords "muscle stiffness", "shear wave elastography", "pain", "asymptomatic controls" and synonyms. The search was supplemented by a hand search using Google Scholar. Included articles were critically appraised with the AXIS tool, supplemented by items related to SWE methods. Results were visually mapped and narratively described. RESULTS Thirty of 137 identified articles were included. High-quality evidence was missing. The results comprise studies reporting lower stiffness in symptomatic participants, no differences between groups and higher stiffness in symptomatic individuals. Results differed between pain conditions and muscles, and also between studies that examined the same muscle(s) and pathology. The methods of the application of SWE were inconsistent and the reporting was often incomplete. CONCLUSIONS Existing evidence regarding the objective stiffness of muscles in musculoskeletal pain conditions is conflicting. Methodological differences may explain most of the inconsistencies between findings. Methodological standards for SWE measurements of muscles are urgently required.
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Affiliation(s)
- Andreas Haueise
- Faculty of Health, Security, Society, Furtwangen University, Furtwangen, Germany
| | - Guillaume Le Sant
- CHU Nantes, Movement-Interactions-Performance, MIP, Nantes Université, Nantes, France
- School of Physiotherapy, IFM3R, St-Sebastien/Loire, France
| | - Angelika Eisele-Metzger
- Institute for Evidence in Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Angela V Dieterich
- Faculty of Health, Security, Society, Furtwangen University, Furtwangen, Germany
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Xu W, Zheng Y, Jiang Y, Zhang Z, Ma S, Cao Y. Shear wave imaging the active constitutive parameters of living muscles. Acta Biomater 2023; 166:400-408. [PMID: 37230437 DOI: 10.1016/j.actbio.2023.05.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 05/27/2023]
Abstract
Shear wave elastography (SWE) of human skeletal muscles allows for measurement of muscle elastic properties in vivo and has important applications in sports medicine and for the diagnosis and treatment of muscle-related diseases. Existing methods of SWE for skeletal muscles rely on the passive constitutive theory and have so far been unable to provide constitutive parameters describing muscle active behavior. In the present paper, we overcome this limitation by proposing a SWE method for quantitative inference of active constitutive parameters of skeletal muscles in vivo. To this end, we investigate the wave motion in a skeletal muscle described by a constitutive model in which muscle active behavior has been defined by an active parameter. An analytical solution relating shear wave velocities to both passive and active material parameters of muscles is derived, based upon which an inverse approach has been developed to evaluate these parameters. To demonstrate the usefulness of the reported method, in vivo experiments were carried out on 10 volunteers to obtain constitutive parameters, particularly those describing active deformation behaviors of living muscles. The results reveal that the active material parameter of skeletal muscles varies with warm-up, fatigue and rest. STATEMENT OF SIGNIFICANCE: Existing shear wave elastography methods are limited to imaging the passive parameters of muscles. This limitation is addressed in the present paper by developing a method to image the active constitutive parameter of living muscles using shear waves. We derived an analytical solution demonstrating the relationship between constitutive parameters of living muscles and shear waves. Relying on the analytical solution, we proposed an inverse method to infer active parameter of skeletal muscles. We performed in vivo experiments to demonstrate the usefulness of the theory and method; the quantitative variation of the active parameter with muscle states such as warm-up, fatigue and rest has been reported for the first time.
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Affiliation(s)
- Weiqiang Xu
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China
| | - Yang Zheng
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China
| | - Yuxuan Jiang
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China
| | - Zhaoyi Zhang
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China
| | - Shiyu Ma
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China
| | - Yanping Cao
- Institute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, PR China.
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Paskali F, Simantzik J, Dieterich A, Kohl M. Specification of Neck Muscle Dysfunction through Digital Image Analysis Using Machine Learning. Diagnostics (Basel) 2022; 13:diagnostics13010007. [PMID: 36611299 PMCID: PMC9818408 DOI: 10.3390/diagnostics13010007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 12/24/2022] Open
Abstract
Everyone has or will have experienced some degree of neck pain. Typically, neck pain is associated with the sensation of tense, tight, or stiff neck muscles. However, it is unclear whether the neck muscles are objectively stiffer with neck pain. This study used 1099 ultrasound elastography images (elastograms) obtained from 38 adult women, 20 with chronic neck pain and 18 asymptomatic. For training machine learning algorithms, 28 numerical characteristics were extracted from both the original and transformed shear wave velocity color-coded images as well as from respective image segments. Overall, a total number of 323 distinct features were generated from the data. A supervised binary classification was performed, using six machine-learning algorithms. The random forest algorithm produced the most accurate model to distinguish the elastograms of women with chronic neck pain from asymptomatic women with an AUC of 0.898. When evaluating features that can be used as biomarkers for muscle dysfunction in neck pain, the region of the deepest neck muscles (M. multifidus) provided the most features to support the correct classification of elastograms. By constructing summary images and associated Hotelling's T2 maps, we enabled the visualization of group differences and their statistical confirmation.
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Affiliation(s)
- Filip Paskali
- Institute of Precision Medicine, Medical and Life Sciences, Hochschule Furtwangen, 78054 Villingen-Schwenningen, Germany
| | - Jonathan Simantzik
- Institute of Precision Medicine, Medical and Life Sciences, Hochschule Furtwangen, 78054 Villingen-Schwenningen, Germany
| | - Angela Dieterich
- Physiotherapie, Fakultät Gesundheit, Sicherheit, Gesellschaft, Hochschule Furtwangen, Studienzentrum Freiburg, 79110 Freiburg, Germany
| | - Matthias Kohl
- Institute of Precision Medicine, Medical and Life Sciences, Hochschule Furtwangen, 78054 Villingen-Schwenningen, Germany
- Correspondence:
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Lack of Objective Measurement in the Initial Screening and Follow-Up of Patients Who Report Whiplash Injury—Is Elastography of the Trapezius Muscle an Answer? J Clin Med 2022; 11:jcm11133851. [PMID: 35807136 PMCID: PMC9267389 DOI: 10.3390/jcm11133851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/30/2022] [Accepted: 06/30/2022] [Indexed: 02/01/2023] Open
Abstract
Background: Painfully decreased cervical range of motion accompanied by muscle spasm is a common presentation of whiplash injury of the neck. Stiffness of the cervical muscles can be assessed by ultrasound shear wave elastography (SWE), expressed in kilopascals (kPa). The hypothesis: SWE of the trapezius muscle is an objective measurement suitable for the initial screening and follow-up of patients who report whiplash injury. Methods and results: A total of 99 patients after whiplash injury were compared to 75 control participants. Mean trapezius stiffness was 82.24 ± 21.11 vs. 57.47 ± 13.82 for whiplash patients and controls, respectively. The cut-off value of SWE of 75.8 kPa showed 77% accuracy in correctly assigning patients to the whiplash or control group. To evaluate whether SWE can be used as a follow-up method of recovery after a whiplash injury, initial and endpoint SWE (after six months, n = 24) was carried out. Patients reporting no recovery showed similar SWE values as completely recovered patients. This finding refutes the second part of our hypothesis. Conclusions: SWE is a method that can be used for the initial screening of patients with whiplash injury, but we are still searching for an objective measurement that can be used in the follow-up of recovery.
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Barun B, Barišić I, Krnić A, Benzon B, Vlak T, Aljinović J. Neck Disability Index Is Better in Classification of Recovery after Whiplash Injury in Comparison with Ultrasound Shear Wave Elastography of Trapezius Muscle. Diagnostics (Basel) 2021; 11:diagnostics11112077. [PMID: 34829424 PMCID: PMC8622903 DOI: 10.3390/diagnostics11112077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 12/04/2022] Open
Abstract
A prospective observational study comparing shear wave elastography (SWE) of trapezius muscle with Neck Disability Index (NDI) in a prediction model of health status six months after a whiplash injury. Both SWE values, measured by two radiologists, and NDI scores were obtained at baseline and after physical therapy (PT) (6-month period). Those values were compared with a 3-point Likert scale (no, partial or full recovery). Twenty-two subjects completed the study. A decrease in trapezius stiffness was detected by both radiologists, statistically significant for one (Δ10.1 kPa; p = 0.04) but not for the second radiologist (Δ8.63 kPa; p = 0.07). The measurements showed excellent intra-observer (ICC 0.75–0.94) and inter-observer (ICC 0.78–0.88) reliability. After six months, fully recovered patients showed lower NDI scores than partially recovered patients (Δ22.98; p < 0.001). SWE values did not differ with the recovery status (55.6 ± 9.7 vs. 57 ± 15.8, Δ1.45; p = 0.82). The single most accurate variable in classifying health status six months after whiplash injury was the relative change of NDI, and it showed the highest accuracy (73.9%) and low Akaike information criterion (AIC = 39.2). Overall, the most accurate classification was obtained when combining NDI and SWE after physical therapy with an accuracy of 77.3% and a decrease in AIC (32.8).
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Affiliation(s)
- Blaž Barun
- Institute of Physical and Rehabilitation Medicine with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (T.V.)
| | - Igor Barišić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (I.B.); (A.K.)
| | - Ana Krnić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (I.B.); (A.K.)
| | - Benjamin Benzon
- Departments of Anatomy, Histology and Embryology and Neuroscience, School of Medicine, University of Split, 21000 Split, Croatia;
| | - Tonko Vlak
- Institute of Physical and Rehabilitation Medicine with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (T.V.)
- Department of Physical and Rehabilitation Medicine, School of Medicine, University of Split, 21000 Split, Croatia
| | - Jure Aljinović
- Institute of Physical and Rehabilitation Medicine with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (T.V.)
- Department for Health Studies, University of Split, 21000 Split, Croatia
- Correspondence:
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Aljinović J, Barun B, Poljičanin A, Marinović I, Vlak T, Pivalica D, Benzon B. Croatian version of the neck disability index can distinguish between acute, chronic and no neck pain : Results of a validation study. Wien Klin Wochenschr 2021; 134:162-168. [PMID: 34241680 DOI: 10.1007/s00508-021-01908-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 06/14/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Longitudinal study to test the validity and reliability of the Croatian version of the neck disability index (NDI-CRO) for use in patients. METHODS Three groups were given NDI-CRO on two occasions, 48 h apart: acute whiplash neck injury group (n = 30), hospital physiotherapists-professional chronic neck pain group (n = 56) and control group (n = 65). To test validity, correlation between NDI-CRO and the pain VAS and PHQ‑9 questionnaire for depression was analyzed. Reliability testing was done using the test-retest experiment and item-total score correlation. RESULTS Test-retest showed excellent correlation in all groups: whiplash 0.86, control 0.95 and physiotherapist 0.89 (Spearman r). Item-total score in the 3 analyzed groups showed positive correlation in all 10 categories, varying from 0.43-0.85. The NDI-CRO score showed significant difference between groups (median whiplash 38%, physiotherapist 12% and control 6%, p < 0.05). Validity testing showed positive correlation between NDI and pain VAS (control r = 0.63, physiotherapist r = 0.68 and whiplash r = 0.83, p < 0.05) and PHQ‑9 (control r = 0.49, physiotherapist r = 0.71 and whiplash r = 0.69, p < 0.05). No correlation was found between NDI-CRO and age, gender or radiographic findings. In the whiplash injury group 75% of patients showed moderate to severe disability. The majority of physiotherapists showed mild to moderate disability due to neck pain while 40% showed no disability. In the control group two out of three people reported no disability. CONCLUSION The NDI-CRO is a valid index for measuring the degree of neck disability in people with acute and chronic neck pain and in control group. It is strongly correlated with pain VAS and PHQ‑9 index.
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Affiliation(s)
- Jure Aljinović
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia. .,Department of Health Studies, University of Split, Split, Croatia.
| | - Blaž Barun
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia
| | - Ana Poljičanin
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia.,Department of Health Studies, University of Split, Split, Croatia
| | - Ivanka Marinović
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia.,Department of Health Studies, University of Split, Split, Croatia
| | - Tonko Vlak
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia.,Department of Physical and rehabilitation medicine, University of Split, School of Medicine, Split, Croatia
| | - Dinko Pivalica
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000, Split, Croatia.,Department of Health Studies, University of Split, Split, Croatia
| | - Benjamin Benzon
- Department of Anatomy, Histology and Embryology and Neuroscience, University of Split, School of Medicine, Split, Croatia
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