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Semin Musculoskelet Radiol 2020; 24(04): 367-374
DOI: 10.1055/s-0040-1709720
Review Article

Quantitative Musculoskeletal Ultrasound

Salvatore Gitto
1   Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy
,
Carmelo Messina
1   Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy
2   IRCCS Istituto Ortopedico Galeazzi, Milano, Italy
,
Nicoló Vitale
3   Scuola di Specializzazione in Medicina Fisica e Riabilitativa, Dipartimento di Scienze Biomediche e Biotecnologiche, Università Degli Studi di Catania, Catania, Italy
,
Domenico Albano
2   IRCCS Istituto Ortopedico Galeazzi, Milano, Italy
4   Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, Palermo, Italy
,
Luca Maria Sconfienza
1   Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy
2   IRCCS Istituto Ortopedico Galeazzi, Milano, Italy
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Abstract

Ultrasound (US) imaging plays a crucial role in the assessment of musculoskeletal (MSK) disorders. Several quantitative tools are offered by US systems and add information to conventional US imaging. This article reviews the quantitative US imaging tools currently available in MSK radiology, specifically focusing on the evaluation of elasticity with shear-wave elastography, perfusion with contrast-enhanced US and noncontrast superb microvascular imaging, and bone and muscle mass with quantitative US methods. Some of them are well established and already of clinical value, such as elasticity and contrast-enhanced perfusion assessment in muscles and tendons. MSK radiologists should be aware of the potential of quantitative US tools and take advantage of their use in everyday practice, both for clinical and research purposes.

Keywords

contrast-enhanced ultrasound - elastography - musculoskeletal - superb microvascular imaging


Publication History

Article published online:
29 September 2020

© 2020. Thieme. All rights reserved.

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  • References

  • 1 Tagliafico AS, Wilson D, Sconfienza LM. European Society of Musculoskeletal Radiology (ESSR) Research Committee. Encouraging MSK imaging research towards clinical impact is a necessity: opinion paper of the European Society of Musculoskeletal Radiology (ESSR). Eur Radiol 2019; 29 (07) 3410-3413
    CrossrefPubMedGoogle Scholar
  • 2 Gitto S, Messina C, Mauri G, Aliprandi A, Sardanelli F, Sconfienza LM. Dynamic high-resolution ultrasound of intrinsic and extrinsic ligaments of the wrist: how to make it simple. Eur J Radiol 2017; 87: 20-35
    CrossrefPubMedGoogle Scholar
  • 3 Martinoli C. Musculoskeletal ultrasound: technical guidelines. Insights Imaging 2010; 1 (03) 99-141
    CrossrefPubMedGoogle Scholar
  • 4 Albano D, Messina C, Usuelli FG. , et al. Magnetic resonance and ultrasound in Achilles tendinopathy: predictive role and response assessment to platelet-rich plasma and adipose-derived stromal vascular fraction injection. Eur J Radiol 2017; 95: 130-135
    CrossrefPubMedGoogle Scholar
  • 5 Messina C, Bignotti B, Tagliafico A. , et al. A critical appraisal of the quality of adult musculoskeletal ultrasound guidelines using the AGREE II tool: an EuroAIM initiative. Insights Imaging 2017; 8 (05) 491-497
    CrossrefPubMedGoogle Scholar
  • 6 Zappia M, Aliprandi A, Pozza S, Doniselli FM, Gitto S, Sconfienza LM. How is shoulder ultrasound done in Italy? A survey of clinical practice. Skeletal Radiol 2016; 45 (12) 1629-1634
    CrossrefPubMedGoogle Scholar
  • 7 Sconfienza LM, Adriaensen M, Albano D. , et al; Ultrasound and Interventional Subcommittees of the European Society of Musculoskeletal Radiology (ESSR). Clinical indications for image guided interventional procedures in the musculoskeletal system: a Delphi-based consensus paper from the European Society of Musculoskeletal Radiology (ESSR)-part III, nerves of the upper limb. Eur Radiol 2020; 30 (03) 1498-1506
    CrossrefPubMedGoogle Scholar
  • 8 Sconfienza LM, Adriaensen M, Albano D. , et al. Clinical indications for image-guided interventional procedures in the musculoskeletal system: a Delphi-based consensus paper from the European Society of Musculoskeletal Radiology (ESSR)-part I, shoulder. Eur Radiol 2020; 30 (02) 903-913
    CrossrefPubMedGoogle Scholar
  • 9 Sconfienza LM, Adriaensen M, Albano D. , et al. Clinical indications for image-guided interventional procedures in the musculoskeletal system: a Delphi-based consensus paper from the European Society of Musculoskeletal Radiology (ESSR)-Part II, elbow and wrist. Eur Radiol 2020; 30 (04) 2220-2230
    CrossrefPubMedGoogle Scholar
  • 10 Silvestri E, Barile A, Albano D. , et al. Interventional therapeutic procedures in the musculoskeletal system: an Italian Survey by the Italian College of Musculoskeletal Radiology. Radiol Med (Torino) 2018; 123 (04) 314-321
    CrossrefPubMedGoogle Scholar
  • 11 Nwawka OK. Update in musculoskeletal ultrasound research. Sports Health 2016; 8 (05) 429-437
    CrossrefPubMedGoogle Scholar
  • 12 Săftoiu A, Gilja OH, Sidhu PS. , et al. The EFSUMB guidelines and recommendations for the clinical practice of elastography in non-hepatic applications: update 2018. Ultraschall Med 2019; 40 (04) 425-453
    Article in Thieme ConnectPubMedGoogle Scholar
  • 13 Sconfienza LM, Albano D, Allen G. , et al. Clinical indications for musculoskeletal ultrasound updated in 2017 by European Society of Musculoskeletal Radiology (ESSR) consensus. Eur Radiol 2018; 28 (12) 5338-5351
    CrossrefPubMedGoogle Scholar
  • 14 Sconfienza LM, Silvestri E, Cimmino MA. Sonoelastography in the evaluation of painful Achilles tendon in amateur athletes. Clin Exp Rheumatol 2010; 28 (03) 373-378
    PubMedGoogle Scholar
  • 15 Sconfienza LM, Silvestri E, Orlandi D. , et al. Real-time sonoelastography of the plantar fascia: comparison between patients with plantar fasciitis and healthy control subjects. Radiology 2013; 267 (01) 195-200
    CrossrefPubMedGoogle Scholar
  • 16 Klauser AS, Miyamoto H, Bellmann-Weiler R, Feuchtner GM, Wick MC, Jaschke WR. Sonoelastography: musculoskeletal applications. Radiology 2014; 272 (03) 622-633
    CrossrefPubMedGoogle Scholar
  • 17 Docking SI, Ooi CC, Connell D. Tendinopathy: is imaging telling us the entire story?. J Orthop Sports Phys Ther 2015; 45 (11) 842-852
    CrossrefPubMedGoogle Scholar
  • 18 Taljanovic MS, Gimber LH, Becker GW. , et al. Shear-wave elastography: basic physics and musculoskeletal applications. Radiographics 2017; 37 (03) 855-870
    CrossrefPubMedGoogle Scholar
  • 19 Brum J, Bernal M, Gennisson JL, Tanter M. In vivo evaluation of the elastic anisotropy of the human Achilles tendon using shear wave dispersion analysis. Phys Med Biol 2014; 59 (03) 505-523
    CrossrefPubMedGoogle Scholar
  • 20 Bercoff J, Tanter M, Fink M. Supersonic shear imaging: a new technique for soft tissue elasticity mapping. IEEE Trans Ultrason Ferroelectr Freq Control 2004; 51 (04) 396-409
    CrossrefPubMedGoogle Scholar
  • 21 Li Y, Snedeker JG. Elastography: modality-specific approaches, clinical applications, and research horizons. Skeletal Radiol 2011; 40 (04) 389-397
    CrossrefPubMedGoogle Scholar
  • 22 Ryu J, Jeong WK. Current status of musculoskeletal application of shear wave elastography. Ultrasonography 2017; 36 (03) 185-197
    CrossrefPubMedGoogle Scholar
  • 23 Arda K, Ciledag N, Aktas E, Aribas BK, Köse K. Quantitative assessment of normal soft-tissue elasticity using shear-wave ultrasound elastography. AJR Am J Roentgenol 2011; 197 (03) 532-536
    CrossrefPubMedGoogle Scholar
  • 24 Shinohara M, Sabra K, Gennisson J-L, Fink M, Tanter M. Real-time visualization of muscle stiffness distribution with ultrasound shear wave imaging during muscle contraction. Muscle Nerve 2010; 42 (03) 438-441
    CrossrefPubMedGoogle Scholar
  • 25 Prado-Costa R, Rebelo J, Monteiro-Barroso J, Preto AS. Ultrasound elastography: compression elastography and shear-wave elastography in the assessment of tendon injury. Insights Imaging 2018; 9 (05) 791-814
    CrossrefPubMedGoogle Scholar
  • 26 Carpenter EL, Lau HA, Kolodny EH, Adler RS. Skeletal muscle in healthy subjects versus those with GNE-related myopathy: evaluation with shear-wave US—a pilot study. Radiology 2015; 277 (02) 546-554
    CrossrefPubMedGoogle Scholar
  • 27 Lacourpaille L, Hug F, Guével A. , et al. Non-invasive assessment of muscle stiffness in patients with Duchenne muscular dystrophy. Muscle Nerve 2015; 51 (02) 284-286
    CrossrefPubMedGoogle Scholar
  • 28 Aubry S, Nueffer JP, Tanter M, Becce F, Vidal C, Michel F. Viscoelasticity in Achilles tendonopathy: quantitative assessment by using real-time shear-wave elastography. Radiology 2015; 274 (03) 821-829
    CrossrefPubMedGoogle Scholar
  • 29 Winn N, Lalam R, Cassar-Pullicino V. Sonoelastography in the musculoskeletal system: current role and future directions. World J Radiol 2016; 8 (11) 868-879
    CrossrefPubMedGoogle Scholar
  • 30 Mhanna C, Marquardt TL, Li Z-M. Adaptation of the transverse carpal ligament associated with repetitive hand use in pianists. PLOS One 2016; 11: e0150174
    CrossrefPubMedGoogle Scholar
  • 31 Wu C-H, Chen W-S, Wang T-G. Elasticity of the coracohumeral ligament in patients with adhesive capsulitis of the shoulder. Radiology 2016; 278 (02) 458-464
    CrossrefPubMedGoogle Scholar
  • 32 Lin C-P, Chen I-J, Chang K-V, Wu W-T, Özçakar L. Utility of ultrasound elastography in evaluation of carpal tunnel syndrome: a systematic review and meta-Analysis. Ultrasound Med Biol 2019; 45 (11) 2855-2865
    CrossrefPubMedGoogle Scholar
  • 33 Moran L, Royuela A, de Vargas AP, Lopez A, Cepeda Y, Martinelli G. Carpal tunnel syndrome: diagnostic usefulness of ultrasound measurement of the median nerve area and quantitative elastographic measurement of the median nerve stiffness. J Ultrasound Med 2020; 39 (02) 331-339
    CrossrefPubMedGoogle Scholar
  • 34 Cingoz M, Kandemirli SG, Alis DC, Samanci C, Kandemirli GC, Adatepe NU. Evaluation of median nerve by shear wave elastography and diffusion tensor imaging in carpal tunnel syndrome. Eur J Radiol 2018; 101: 59-64
    CrossrefPubMedGoogle Scholar
  • 35 Kantarci F, Ustabasioglu FE, Delil S. , et al. Median nerve stiffness measurement by shear wave elastography: a potential sonographic method in the diagnosis of carpal tunnel syndrome. Eur Radiol 2014; 24 (02) 434-440
    CrossrefPubMedGoogle Scholar
  • 36 He Y, Xiang X, Zhu B-H, Qiu L. Shear wave elastography evaluation of the median and tibial nerve in diabetic peripheral neuropathy. Quant Imaging Med Surg 2019; 9 (02) 273-282
    CrossrefPubMedGoogle Scholar
  • 37 Jiang W, Huang S, Teng H. , et al. Diagnostic performance of two-dimensional shear wave elastography for evaluating tibial nerve stiffness in patients with diabetic peripheral neuropathy. Eur Radiol 2019; 29 (05) 2167-2174
    CrossrefPubMedGoogle Scholar
  • 38 Dikici AS, Ustabasioglu FE, Delil S. , et al. Evaluation of the tibial nerve with shear-wave elastography: a potential sonographic method for the diagnosis of diabetic peripheral neuropathy. Radiology 2017; 282 (02) 494-501
    CrossrefPubMedGoogle Scholar
  • 39 Çelebi UO, Burulday V, Özveren MF, Doğan A, Akgül MH. Sonoelastographic evaluation of the sciatic nerve in patients with unilateral lumbar disc herniation. Skeletal Radiol 2019; 48 (01) 129-136
    CrossrefPubMedGoogle Scholar
  • 40 Tavare AN, Alfuraih AM, Hensor EMA, Astrinakis E, Gupta H, Robinson P. Shear-wave elastography of benign versus malignant musculoskeletal soft-tissue masses: comparison with conventional US and MRI. Radiology 2019; 290 (02) 410-417
    CrossrefPubMedGoogle Scholar
  • 41 Winn N, Baldwin J, Cassar-Pullicino V. , et al. Characterization of soft tissue tumours with ultrasound, shear wave elastography and MRI. Skeletal Radiol 2020 ; January 2 (Epub ahead of print)
    PubMedGoogle Scholar
  • 42 Boote EJ. AAPM/RSNA physics tutorial for residents: topics in US: Doppler US techniques: concepts of blood flow detection and flow dynamics. Radiographics 2003; 23 (05) 1315-1327
    CrossrefPubMedGoogle Scholar
  • 43 Bertolotto M, Serafini G, Sconfienza LM. , et al. The use of CEUS in the diagnosis of retinal/choroidal detachment and associated intraocular masses—preliminary investigation in patients with equivocal findings at conventional ultrasound. Ultraschall Med 2014; 35 (02) 173-180
    PubMedGoogle Scholar
  • 44 Serafin Z, Białecki M, Białecka A, Sconfienza LM, Kłopocka M. Contrast-enhanced ultrasound for detection of Crohn's disease activity: systematic review and meta-analysis. J Crohn's Colitis 2016; 10 (03) 354-362
    CrossrefPubMedGoogle Scholar
  • 45 Prada F, Bene MD, Fornaro R. , et al. Identification of residual tumor with intraoperative contrast-enhanced ultrasound during glioblastoma resection. Neurosurg Focus 2016; 40 (03) E7
    CrossrefPubMedGoogle Scholar
  • 46 Pozza S, De Marchi A, Albertin C. , et al. Technical and clinical feasibility of contrast-enhanced ultrasound evaluation of long bone non-infected nonunion healing. Radiol Med (Torino) 2018; 123 (09) 703-709
    CrossrefPubMedGoogle Scholar
  • 47 Weber M-A, Krix M, Delorme S. Quantitative evaluation of muscle perfusion with CEUS and with MR. Eur Radiol 2007; 17 (10) 2663-2674
    CrossrefPubMedGoogle Scholar
  • 48 Chung YE, Kim KW. Contrast-enhanced ultrasonography: advance and current status in abdominal imaging. Ultrasonography 2015; 34 (01) 3-18
    CrossrefPubMedGoogle Scholar
  • 49 Claudon M, Dietrich CF, Choi BI. , et al. Guidelines and good clinical practice recommendations for contrast enhanced ultrasound (CEUS) in the liver—update 2012: a WFUMB-EFSUMB initiative in cooperation with representatives of AFSUMB, AIUM, ASUM, FLAUS and ICUS. Ultraschall Med 2013; 34 (01) 11-29
    Article in Thieme ConnectPubMedGoogle Scholar
  • 50 Sidhu PS, Cantisani V, Dietrich CF. , et al. The EFSUMB guidelines and recommendations for the clinical practice of contrast-enhanced ultrasound (CEUS) in non-hepatic applications: update 2017 (long version). Ultraschall Med 2018; 39 (02) e2-e44
    Article in Thieme ConnectPubMedGoogle Scholar
  • 51 Park AY, Seo BK. Up-to-date Doppler techniques for breast tumor vascularity: superb microvascular imaging and contrast-enhanced ultrasound. Ultrasonography 2018; 37 (02) 98-106
    CrossrefPubMedGoogle Scholar
  • 52 Tang MX, Mulvana H, Gauthier T. , et al. Quantitative contrast-enhanced ultrasound imaging: a review of sources of variability. Interface Focus 2011; 1 (04) 520-539
    CrossrefPubMedGoogle Scholar
  • 53 Krix M, Weber MA, Krakowski-Roosen H. , et al. Assessment of skeletal muscle perfusion using contrast-enhanced ultrasonography. J Ultrasound Med 2005; 24 (04) 431-441
    CrossrefPubMedGoogle Scholar
  • 54 Kunz P, Kiesl S, Groß S, Kauczor H-U, Schmidmaier G, Fischer C. Intra-observer and device-dependent inter-observer reliability of contrast-enhanced ultrasound for muscle perfusion quantification. Ultrasound Med Biol 2020; 46 (02) 275-285
    CrossrefPubMedGoogle Scholar
  • 55 Amarteifio E, Wormsbecher S, Demirel S. , et al. Assessment of skeletal muscle microcirculation in type 2 diabetes mellitus using dynamic contrast-enhanced ultrasound: a pilot study. Diab Vasc Dis Res 2013; 10 (05) 468-470
    CrossrefPubMedGoogle Scholar
  • 56 Partovi S, Kaspar M, Aschwanden M. , et al. Quantitative dynamic contrast-enhanced ultrasound for the functional evaluation of the skeletal muscle microcirculation in systemic sclerosis. Clin Hemorheol Microcirc 2016; 62 (01) 35-44
    CrossrefPubMedGoogle Scholar
  • 57 Rudzki JR, Adler RS, Warren RF. , et al. Contrast-enhanced ultrasound characterization of the vascularity of the rotator cuff tendon: age- and activity-related changes in the intact asymptomatic rotator cuff. J Shoulder Elbow Surg 2008; 17 (1, Suppl): 96S-100S
    CrossrefPubMedGoogle Scholar
  • 58 Fischer C, Gross S, Zeifang F, Schmidmaier G, Weber M-A, Kunz P. Contrast-enhanced ultrasound determines supraspinatus muscle atrophy after cuff repair and correlates to functional shoulder outcome. Am J Sports Med 2018; 46 (11) 2735-2742
    CrossrefPubMedGoogle Scholar
  • 59 Sconfienza LM, Silvestri E, Cimmino MA. High-resolution ultrasound evaluation of extrinsic wrist ligaments in patients affected by rheumatoid arthritis. Eur Radiol 2012; 22 (07) 1586-1591
    CrossrefPubMedGoogle Scholar
  • 60 Klauser A, Demharter J, De Marchi A. , et al; IACUS study group. Contrast enhanced gray-scale sonography in assessment of joint vascularity in rheumatoid arthritis: results from the IACUS study group. Eur Radiol 2005; 15 (12) 2404-2410
    CrossrefPubMedGoogle Scholar
  • 61 Rizzo G, Raffeiner B, Coran A. , et al. Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis. J Med Imaging (Bellingham) 2015; 2 (03) 034503
    CrossrefPubMedGoogle Scholar
  • 62 Loizides A, Peer S, Plaikner M, Djurdjevic T, Gruber H. Perfusion pattern of musculoskeletal masses using contrast-enhanced ultrasound: a helpful tool for characterisation?. Eur Radiol 2012; 22 (08) 1803-1811
    CrossrefPubMedGoogle Scholar
  • 63 Hata J. Medical review: Seeing the unseen: new techniques in vascular imaging. Toshiba Medical Systems Corporation. https://www.toshiba-medical.eu/eu/wp-content/uploads/sites/2/2014/09/WP_OI_MOIUS0070EA_SMI_Hata_03_2014.pdf%0D%0Ahttp://www.toshibamedicalsystems.com . Published 2014. Accessed December 4, 2019
    PubMedGoogle Scholar
  • 64 Cloutier G, Chen D, Durand LG. A new clutter rejection algorithm for Doppler ultrasound. IEEE Trans Med Imaging 2003; 22 (04) 530-538
    CrossrefPubMedGoogle Scholar
  • 65 Grand-Perret V, Jacquet J-R, Leguerney I. , et al. A novel microflow phantom dedicated to ultrasound microvascular measurements. Ultrason Imaging 2018; 40 (05) 325-338
    CrossrefPubMedGoogle Scholar
  • 66 Li W, Liu F, Zhu J, Wei X, Chen Z. Superb micro-vascular imaging improving inflammatory flow blood sensitivity in patients with rheumatoid arthritis. Int J Clin Exp Med 2016; 9: 19930-19934
    PubMedGoogle Scholar
  • 67 Orlandi D, Gitto S, Perugin Bernardi S. , et al. Advanced power Doppler technique increases synovial vascularity detection in patients with rheumatoid arthritis. Ultrasound Med Biol 2017; 43 (09) 1880-1887
    CrossrefPubMedGoogle Scholar
  • 68 Lim AKP, Satchithananda K, Dick EA, Abraham S, Cosgrove DO. Microflow imaging: new Doppler technology to detect low-grade inflammation in patients with arthritis. Eur Radiol 2018; 28 (03) 1046-1053
    CrossrefPubMedGoogle Scholar
  • 69 Yu X, Li Z, Ren M, Xi J, Wu J, Ji Y. Superb microvascular imaging (SMI) for evaluating hand joint lesions in patients with rheumatoid arthritis in clinical remission. Rheumatol Int 2018; 38 (10) 1885-1890
    CrossrefPubMedGoogle Scholar
  • 70 Yokota K, Tsuzuki Wada T, Akiyama Y, Mimura T. Detection of synovial inflammation in rheumatic diseases using superb microvascular imaging: comparison with conventional power Doppler imaging. Mod Rheumatol 2018; 28 (02) 327-333
    CrossrefPubMedGoogle Scholar
  • 71 Lee GY, Kim S, Choi ST, Song JS. The superb microvascular imaging is more sensitive than conventional power Doppler imaging in detection of active synovitis in patients with rheumatoid arthritis. Clin Rheumatol 2019; 38 (09) 2613-2620
    CrossrefPubMedGoogle Scholar
  • 72 Oo WM, Linklater JM, Bennell KL. , et al. Superb microvascular imaging in low-grade inflammation of knee osteoarthritis compared with power Doppler: clinical, radiographic and MRI relationship. Ultrasound Med Biol 2020; 46 (03) 566-574
    CrossrefPubMedGoogle Scholar
  • 73 Arslan S, Karahan AY, Oncu F, Bakdik S, Durmaz MS, Tolu I. Diagnostic performance of superb microvascular imaging and other sonographic modalities in the assessment of lateral epicondylosis. J Ultrasound Med 2018; 37 (03) 585-593
    CrossrefPubMedGoogle Scholar
  • 74 Chen J, Chen L, Wu L. , et al. Value of superb microvascular imaging ultrasonography in the diagnosis of carpal tunnel syndrome: compared with color Doppler and power Doppler. Medicine (Baltimore) 2017; 96 (21) e6862
    CrossrefPubMedGoogle Scholar
  • 75 Karahan AY, Arslan S, Ordahan B, Bakdik S, Ekiz T. Superb microvascular imaging of the median nerve in carpal tunnel syndrome: an electrodiagnostic and ultrasonographic study. J Ultrasound Med 2018; 37 (12) 2855-2861
    CrossrefPubMedGoogle Scholar
  • 76 Szkudlarek M, Court-Payen M, Jacobsen S, Klarlund M, Thomsen HS, Østergaard M. Interobserver agreement in ultrasonography of the finger and toe joints in rheumatoid arthritis. Arthritis Rheum 2003; 48 (04) 955-962
    CrossrefPubMedGoogle Scholar
  • 77 Ohrndorf S, Fischer IU, Kellner H. , et al. Reliability of the novel 7-joint ultrasound score: results from an inter- and intraobserver study performed by rheumatologists. Arthritis Care Res (Hoboken) 2012; 64 (08) 1238-1243
    PubMedGoogle Scholar
  • 78 Gitto S, Messina C, Chianca V. , et al. Superb microvascular imaging (SMI) in the evaluation of musculoskeletal disorders: a systematic review. Radiol Med (Torino) 2020 ; February 4 (Epub ahead of print)
    PubMedGoogle Scholar
  • 79 Durmaz MS, Akyürek N, Kara T. , et al. Quantitative assessment of thyroid gland vascularization with vascularization index using color superb microvascular imaging in pediatric patients with Hashimoto thyroiditis. Ultrasound Q 2019; 35 (03) 281-289
    CrossrefPubMedGoogle Scholar
  • 80 Zhang X-Y, Zhang L, Li N. , et al. Vascular index measured by smart 3-D superb microvascular imaging can help to differentiate malignant and benign breast lesion. Cancer Manag Res 2019; 11: 5481-5487
    CrossrefPubMedGoogle Scholar
  • 81 Gao J, Thai A, Erpelding T. Comparison of superb microvascular imaging to conventional color Doppler ultrasonography in depicting renal cortical microvasculature. Clin Imaging 2019; 58: 90-95
    CrossrefPubMedGoogle Scholar
  • 82 Kloth C, Eissler A, Schmidberger J. , et al. Quantitative analysis of superb microvascular imaging versus color-coded Doppler sonography for preoperative evaluation of vascularization of schwannomas. J Neurol Surg Part A Cent Eur Neurosurg 2019 ; November 27 (Epub ahead of print)
    PubMedGoogle Scholar
  • 83 Messina C, Buonomenna C, Menon G. , et al. Fat mass does not increase the precision error of trabecular bone score measurements. J Clin Densitom 2019; 22 (03) 359-366
    CrossrefPubMedGoogle Scholar
  • 84 Mattera M, Reginelli A, Bartollino S. , et al. Imaging of metabolic bone disease. Acta Biomed 2018; 89 (1-S): 197-207
    PubMedGoogle Scholar
  • 85 Messina C, Maffi G, Vitale JA, Ulivieri FM, Guglielmi G, Sconfienza LM. Diagnostic imaging of osteoporosis and sarcopenia: a narrative review. Quant Imaging Med Surg 2018; 8 (01) 86-99
    CrossrefPubMedGoogle Scholar
  • 86 Codari M, Zanardo M, Sabato ME. , et al. MRI-derived biomarkers related to sarcopenia: a systematic review. J Magn Reson Imaging 2020; 51 (04) 1117-1127
    CrossrefPubMedGoogle Scholar
  • 87 Albano D, Messina C, Vitale J, Sconfienza LM. Imaging of sarcopenia: old evidence and new insights. Eur Radiol 2020; 30 (04) 2199-2208
    CrossrefPubMedGoogle Scholar
  • 88 Passeri E, Sansone VA, Sconfienza LM, Messina C, Meola G, Corbetta S. Fragility fractures and bone mineral density in male patients affected by type 1 and type 2 myotonic dystrophy. Neuromuscul Disord 2019; 30 (04) 2199-2208
    PubMedGoogle Scholar
  • 89 Messina C, Monaco CG, Ulivieri FM, Sardanelli F, Sconfienza LM. Dual-energy X-ray absorptiometry body composition in patients with secondary osteoporosis. Eur J Radiol 2016; 85 (08) 1493-1498
    CrossrefPubMedGoogle Scholar
  • 90 Messina C, Sconfienza LM, Bandirali M, Guglielmi G, Ulivieri FM. Adult dual-energy X-ray absorptiometry in clinical practice: how I report it. Semin Musculoskelet Radiol 2016; 20 (03) 246-253
    Article in Thieme ConnectPubMedGoogle Scholar
  • 91 Bandirali M, Di Leo G, Papini GDE. , et al. A new diagnostic score to detect osteoporosis in patients undergoing lumbar spine MRI. Eur Radiol 2015; 25 (10) 2951-2959
    CrossrefPubMedGoogle Scholar
  • 92 Hans D, Baim S. Quantitative ultrasound (QUS) in the management of osteoporosis and assessment of fracture risk. J Clin Densitom 2017; 20 (03) 322-333
    CrossrefPubMedGoogle Scholar
  • 93 Marín F, González-Macías J, Díez-Pérez A, Palma S, Delgado-Rodríguez M. Relationship between bone quantitative ultrasound and fractures: a meta-analysis. J Bone Miner Res 2006; 21 (07) 1126-1135
    CrossrefPubMedGoogle Scholar
  • 94 Moayyeri A, Adams JE, Adler RA. , et al. Quantitative ultrasound of the heel and fracture risk assessment: an updated meta-analysis. Osteoporos Int 2012; 23 (01) 143-153
    CrossrefPubMedGoogle Scholar
  • 95 Hans D, Downs Jr RW, Duboeuf F. , et al; International Society for Clinical Densitometry. Skeletal sites for osteoporosis diagnosis: the 2005 ISCD official positions. J Clin Densitom 2006; 9 (01) 15-21
    CrossrefPubMedGoogle Scholar
  • 96 Diez A, Maria P, Brandi L, Al N, Jaime D, Olivier CB. Radiofrequency echographic multi-spectrometry for the in-vivo assessment of bone strength: state of the art—outcomes of an expert consensus meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). Aging Clin Exp Res 2019; 31: 1375-1389
    CrossrefPubMedGoogle Scholar
  • 97 Di Paola M, Gatti D, Viapiana O. , et al. Radiofrequency echographic multispectrometry compared with dual X-ray absorptiometry for osteoporosis diagnosis on lumbar spine and femoral neck. Osteoporos Int 2019; 30 (02) 391-402
    CrossrefPubMedGoogle Scholar
  • 98 Boutin RD, Yao L, Canter RJ, Lenchik L. Sarcopenia: current concepts and imaging implications. AJR Am J Roentgenol 2015; 205 (03) W255-W266
    CrossrefPubMedGoogle Scholar
  • 99 Sconfienza LM. Sarcopenia: ultrasound today, smartphones tomorrow?. Eur Radiol 2019; 29 (01) 1-2
    CrossrefPubMedGoogle Scholar
  • 100 Sanabria SJ, Martini K, Freystätter G. , et al. Speed of sound ultrasound: a pilot study on a novel technique to identify sarcopenia in seniors. Eur Radiol 2019; 29 (01) 3-12
    CrossrefPubMedGoogle Scholar