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Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki

Year 2019, Volume: 72 Issue: 2, 150 - 155, 02.10.2019
https://doi.org/10.4274/atfm.galenos.2019.57070

Abstract

Objectives: The primary objective of the study was to determine the potential tissue changes and ultrasound elastography flow rates at the sensitive points in patients with fibromyalgia syndrome and to obtain objective data; secondary aim is to determine the relationship between these flow rates and disease symptoms and quality of life and to determine the usefulness of these data in the follow-up of functional status and treatment of patients.

Materials and Methods: Twenty-four female patients diagnosed as fibromyalgia syndrome with sensitive points in the upper trapezius and supraspinatus regions were questioned for morning stiffness, sleep quality, pain level (visual analog scale), mental status (Beck Depression Scale), functional status (Fibromyalgia Impact Questionnaire) and quality of life (SF-36). The ultrasound elastography flow velocities at the sensitive upper trapezoidal and supraspinatus points were measured with the Acuson S2000 ultrasound system (Siemens Medical Solutions, Mountain View, CA). All data were analysed statistically for correlation.

Results: The mean age was 51.4 years (min-max=26-74). There was a positive correlation between ultrasound elastography flow rates and some SF-36 subscores and left trapezoidal neutral position and Visual Analogue Score (r=0.510, p=0.013).

Conclusion: The data is not sufficient to use ultrasound elastography flow rates as a quantitative diagnostic criterion in fibromyalgia syndrome. Further studies involving enough sample size and including a control group will allow the questioning of the true value of the significant correlations that we find.

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References

  • 1. Wolfe F, Smythe HA, Yunus MB, et al. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Arthritis Rheum. 1990;33:160-172.
  • 2. Wolfe F, Brahler E, Hinz A, et all. Fibromyalgia prevalence, somatic symptom reporting, and the dimensionality of polysymptomatic distress: results from a survey of the general population. Arthritis Care Res. 2013;65:777-785.
  • 3. Fietta P, Fietta P, Manganelli P. Fibromyalgia and psychiatric disorders. Acta Biomed. 2007;78:88-95.
  • 4. Dadabhoy D, Clauw DJ. Therapy Insight: fibromyalgia--a different type of pain needing a different type of treatment. Nat Clin Pract Rheumatol. 2006;2:364-372.
  • 5. Bengtsson A, Henriksson KG, Jorfeldt L, et al. Primary fibromyalgia: a clinical and laboratory study of 55 patients. Scand J Rheumatol. 1986;15:340-347.
  • 6. Wortmann RL. Searching for the cause of fibromyalgia: is there a defect in energy metabolism? Arthritis Rheum. 1994;37:790-793.
  • 7. Kurtaiş Aytür Y. Fibromiyalji Sendromu. Romatoloji e Book, http://www. trasdromatolojiekitap.org/icindekiler.php?id=85
  • 8. Gennisson JL, Deffieux T, Fink M, et al. Ultrasound elastography: principles and techniques. Diagn Interv Imaging. 2013;94:487-495.
  • 9. Wu CH, Chen WS, Park GY, et al. Musculoskeletal sonoelastography: a focused review of its diagnostic applications for evaluating tendons and fascia. J Med Ultrasound. 2012;20:79-86.
  • 10. Drakonaki EE, Allen GM, Wilson DJ. Ultrasound elastography for musculoskeletal applications. Br J Radiol. 2012;85:1435-1445.
  • 11. Ophir J, Alam SK, Garra BS, et al. Elastography: Imaging the elastic properties of soft tissues with ultrasound. J Med Ultrason. 2002;29:155.
  • 12. Genç A, Güneş S, Kutlay S. The Role of Ultrasound Elastography in Musculoskeletal Diseases. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2018;71:91-95.
  • 13. Taljanovic MS, Gimber LH, Becker GW, et al. Shear-Wave Elastography: Basic Physics and Musculoskeletal Applications. Radiographics. 2017;37:855-870.
  • 14. Beck AT, Ward CH, Mendelson M, et al. Beck Depression Inventory. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561-571.
  • 15. Ediz L, Hiz O, Toprak M. The validity and reliability of the Turkish version of the Revised Fibromyalgia Impact Questionnaire. Clin Rheum. 2011;30:339- 346.
  • 16. Bennett RM, Friend R, Jones KD, et al. The Revised Fibromyalgia Impact Questionnaire (FIQR): validation and psychometric properties. Arthritis Res Ther. 2009;11:R120. Erratum in: Arthritis Res Ther. 2009;11:415.
  • 17. Ware JE Jr. SF-36 Health Survey update. Spine (Phila Pa 1976). 2000;15;25:3130-3139.
  • 18. Koçyiğit H, Aydemir Ö, Fişek G, et al. Kısa Form-36 (KF-36)’nın Türkçe versiyonunun güvenilirliği ve geçerliliği. İlaç ve Tedavi Dergisi. 1999;12:102- 106.
  • 19. Fitzcharles MA, Boulos P. Inaccuracy in the diagnosis of fibromyalgia syndrome: analysis of referrals. Rheumatology (Oxford). 2003;42:263-267.
  • 20. Mease P, Arnold LM, Choy EH, et al. Fibromyalgia syndrome module at OMERACT 9: domain construct. J Rheumatol. 2009;36:2318-2329.
  • 21. Mease P. Fibromyalgia syndrome: review of clinical presentation, pathogenesis, outcome measures, and treatment. J Rheumatol Suppl. 2005;75:6-21.
  • 22. Mease P, Arnold LM, Bennett R, et al. Fibromyalgia syndrome. J Rheumatol. 2007;34:1415-1425.
  • 23. Wolfe F, Clauw DJ, Fitzcharles MA, et al. The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res (Hoboken). 2010;62:600-610.
  • 24. Wolfe F, Clauw DJ, Fitzcharles MA, et al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum. 2016;46:319-329.
  • 25. Kraft GH, Johnson E, LaBan MM. The fibrositis syndrome. Arch Phys Med Rehabil. 1968;49:155-162.
  • 26. Awad EA: Interstitial myofi brositis: hypothesis of the mechanism. Arch Phys Med Rehab. 1973;54:449-453.
  • 27. Fischer A. Documentation of myofascial trigger points. Arch Phys Med Rehab. 1988; 69:286-291.
  • 28. Basford JR, An Kai-Nan. New Techniques for the Quantification of Fibromyalgia and Myofascial Pain. Current Pain & Headache Reports. 2009;13:376-378.
  • 29. Sikdar S, Shah JP, Gilliams E, et al. Assessment of myofascial triggerpoints (MTrPs): A new application of ultrasound imaging and vibrationsonoelastography. Conf Proc IEEE Eng Med. Biol Soc 2008;2008:5585-5588.
  • 30. Muro-Culebras A, Cuesta-Vargas AI. Sono-myography and sonomyoelastography of the tender points of women with fibromyalgia Ultrasound Med Biol. 2013;39:1951-1957.

Year 2019, Volume: 72 Issue: 2, 150 - 155, 02.10.2019
https://doi.org/10.4274/atfm.galenos.2019.57070

Abstract

Ethical Statement

Etik Kurul Onayı: Araştırma için AÜTF Öğrenci Etik Kurulu’ndan 25/12/2018 tarihli ve 9588 sayılı onay alınmıştır. Hasta Onayı: Çalışmada 6 aylık zaman diliminde dahil edilme kriterlerine uygun 30 hasta çalışmaya dahil edildi, üç hastanın bilgilendirilmiş gönüllü olur formunu doldurmaması bir hastada ultrason yapılacak bölgede enfeksiyon gelişmesi ve iki hastanın çalışma formlarını doldurmak istememesi nedenleri ile çalışmadan çıkarıldı ve sonuç olarak 24 hasta değerlendirmeye alındı. Hakem Değerlendirmesi: Editörler kurulunun dışında olan kişiler tarafından değerlendirilmiştir.

Project Number

-

References

  • 1. Wolfe F, Smythe HA, Yunus MB, et al. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Arthritis Rheum. 1990;33:160-172.
  • 2. Wolfe F, Brahler E, Hinz A, et all. Fibromyalgia prevalence, somatic symptom reporting, and the dimensionality of polysymptomatic distress: results from a survey of the general population. Arthritis Care Res. 2013;65:777-785.
  • 3. Fietta P, Fietta P, Manganelli P. Fibromyalgia and psychiatric disorders. Acta Biomed. 2007;78:88-95.
  • 4. Dadabhoy D, Clauw DJ. Therapy Insight: fibromyalgia--a different type of pain needing a different type of treatment. Nat Clin Pract Rheumatol. 2006;2:364-372.
  • 5. Bengtsson A, Henriksson KG, Jorfeldt L, et al. Primary fibromyalgia: a clinical and laboratory study of 55 patients. Scand J Rheumatol. 1986;15:340-347.
  • 6. Wortmann RL. Searching for the cause of fibromyalgia: is there a defect in energy metabolism? Arthritis Rheum. 1994;37:790-793.
  • 7. Kurtaiş Aytür Y. Fibromiyalji Sendromu. Romatoloji e Book, http://www. trasdromatolojiekitap.org/icindekiler.php?id=85
  • 8. Gennisson JL, Deffieux T, Fink M, et al. Ultrasound elastography: principles and techniques. Diagn Interv Imaging. 2013;94:487-495.
  • 9. Wu CH, Chen WS, Park GY, et al. Musculoskeletal sonoelastography: a focused review of its diagnostic applications for evaluating tendons and fascia. J Med Ultrasound. 2012;20:79-86.
  • 10. Drakonaki EE, Allen GM, Wilson DJ. Ultrasound elastography for musculoskeletal applications. Br J Radiol. 2012;85:1435-1445.
  • 11. Ophir J, Alam SK, Garra BS, et al. Elastography: Imaging the elastic properties of soft tissues with ultrasound. J Med Ultrason. 2002;29:155.
  • 12. Genç A, Güneş S, Kutlay S. The Role of Ultrasound Elastography in Musculoskeletal Diseases. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2018;71:91-95.
  • 13. Taljanovic MS, Gimber LH, Becker GW, et al. Shear-Wave Elastography: Basic Physics and Musculoskeletal Applications. Radiographics. 2017;37:855-870.
  • 14. Beck AT, Ward CH, Mendelson M, et al. Beck Depression Inventory. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561-571.
  • 15. Ediz L, Hiz O, Toprak M. The validity and reliability of the Turkish version of the Revised Fibromyalgia Impact Questionnaire. Clin Rheum. 2011;30:339- 346.
  • 16. Bennett RM, Friend R, Jones KD, et al. The Revised Fibromyalgia Impact Questionnaire (FIQR): validation and psychometric properties. Arthritis Res Ther. 2009;11:R120. Erratum in: Arthritis Res Ther. 2009;11:415.
  • 17. Ware JE Jr. SF-36 Health Survey update. Spine (Phila Pa 1976). 2000;15;25:3130-3139.
  • 18. Koçyiğit H, Aydemir Ö, Fişek G, et al. Kısa Form-36 (KF-36)’nın Türkçe versiyonunun güvenilirliği ve geçerliliği. İlaç ve Tedavi Dergisi. 1999;12:102- 106.
  • 19. Fitzcharles MA, Boulos P. Inaccuracy in the diagnosis of fibromyalgia syndrome: analysis of referrals. Rheumatology (Oxford). 2003;42:263-267.
  • 20. Mease P, Arnold LM, Choy EH, et al. Fibromyalgia syndrome module at OMERACT 9: domain construct. J Rheumatol. 2009;36:2318-2329.
  • 21. Mease P. Fibromyalgia syndrome: review of clinical presentation, pathogenesis, outcome measures, and treatment. J Rheumatol Suppl. 2005;75:6-21.
  • 22. Mease P, Arnold LM, Bennett R, et al. Fibromyalgia syndrome. J Rheumatol. 2007;34:1415-1425.
  • 23. Wolfe F, Clauw DJ, Fitzcharles MA, et al. The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res (Hoboken). 2010;62:600-610.
  • 24. Wolfe F, Clauw DJ, Fitzcharles MA, et al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum. 2016;46:319-329.
  • 25. Kraft GH, Johnson E, LaBan MM. The fibrositis syndrome. Arch Phys Med Rehabil. 1968;49:155-162.
  • 26. Awad EA: Interstitial myofi brositis: hypothesis of the mechanism. Arch Phys Med Rehab. 1973;54:449-453.
  • 27. Fischer A. Documentation of myofascial trigger points. Arch Phys Med Rehab. 1988; 69:286-291.
  • 28. Basford JR, An Kai-Nan. New Techniques for the Quantification of Fibromyalgia and Myofascial Pain. Current Pain & Headache Reports. 2009;13:376-378.
  • 29. Sikdar S, Shah JP, Gilliams E, et al. Assessment of myofascial triggerpoints (MTrPs): A new application of ultrasound imaging and vibrationsonoelastography. Conf Proc IEEE Eng Med. Biol Soc 2008;2008:5585-5588.
  • 30. Muro-Culebras A, Cuesta-Vargas AI. Sono-myography and sonomyoelastography of the tender points of women with fibromyalgia Ultrasound Med Biol. 2013;39:1951-1957.
There are 30 citations in total.

Details

Primary Language English
Subjects Physical Medicine and Rehabilitation
Journal Section Research Article
Authors

Aysun Genç 0000-0002-5652-364X

Uğur Kuş This is me 0000-0001-7389-9465

Ali Ağuş This is me 0000-0002-8487-2249

Hacı Musab Kıymaz This is me 0000-0002-2814-3850

Onur Bozdağ This is me 0000-0002-6668-6741

Yeşim Kurtaiş Aytür This is me 0000-0003-0291-3850

Şehim Kutlay This is me 0000-0002-6869-6070

Project Number -
Publication Date October 2, 2019
Published in Issue Year 2019 Volume: 72 Issue: 2

Cite

APA Genç, A., Kuş, U., Ağuş, A., … Kıymaz, H. M. (2019). Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki. Ankara Üniversitesi Tıp Fakültesi Mecmuası, 72(2), 150-155. https://doi.org/10.4274/atfm.galenos.2019.57070
AMA Genç A, Kuş U, Ağuş A, et al. Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki. Ankara Üniversitesi Tıp Fakültesi Mecmuası. October 2019;72(2):150-155. doi:10.4274/atfm.galenos.2019.57070
Chicago Genç, Aysun, Uğur Kuş, Ali Ağuş, Hacı Musab Kıymaz, Onur Bozdağ, Yeşim Kurtaiş Aytür, and Şehim Kutlay. “Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları Ile Klinik Bulgular Ve Yaşam Kalitesi Arasındaki İlişki”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 72, no. 2 (October 2019): 150-55. https://doi.org/10.4274/atfm.galenos.2019.57070.
EndNote Genç A, Kuş U, Ağuş A, Kıymaz HM, Bozdağ O, Kurtaiş Aytür Y, Kutlay Ş (October 1, 2019) Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki. Ankara Üniversitesi Tıp Fakültesi Mecmuası 72 2 150–155.
IEEE A. Genç, U. Kuş, A. Ağuş, H. M. Kıymaz, O. Bozdağ, Y. Kurtaiş Aytür, and Ş. Kutlay, “Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki”, Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 72, no. 2, pp. 150–155, 2019, doi: 10.4274/atfm.galenos.2019.57070.
ISNAD Genç, Aysun et al. “Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları Ile Klinik Bulgular Ve Yaşam Kalitesi Arasındaki İlişki”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 72/2 (October2019), 150-155. https://doi.org/10.4274/atfm.galenos.2019.57070.
JAMA Genç A, Kuş U, Ağuş A, Kıymaz HM, Bozdağ O, Kurtaiş Aytür Y, Kutlay Ş. Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2019;72:150–155.
MLA Genç, Aysun et al. “Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları Ile Klinik Bulgular Ve Yaşam Kalitesi Arasındaki İlişki”. Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 72, no. 2, 2019, pp. 150-5, doi:10.4274/atfm.galenos.2019.57070.
Vancouver Genç A, Kuş U, Ağuş A, Kıymaz HM, Bozdağ O, Kurtaiş Aytür Y, et al. Fibromiyalji Sendromunda Hassas Noktaların Ultrason Makaslama Elastografi Hızları ile Klinik Bulgular ve Yaşam Kalitesi Arasındaki İlişki. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2019;72(2):150-5.