Preview

Research and Practical Medicine Journal

Advanced search

Radiology methods of the sarcopenia diagnosis

https://doi.org/10.17709/2409-2231-2019-6-4-13

Abstract

One of the processes that accompany the aging of the body and the decline in the quality of life of older people is sarcopenia or loss of muscle tissue and the associated restriction of mobility. The identification of this condition in patients at the stage when there is only an initial decrease in muscle mass without a decrease in muscle strength is of great importance for determining the cause of the disease and the timely start of treatment. This review describes the capabilities of the methods of radiation diagnosis in assessing the quantity and quality of muscle tissue and their shortcomings from the standpoint of verification and dynamic observation of sarcopenia. The lack of a unified standard for the instrumental diagnosis of this pathology and the alertness of specialists regarding sarcopenia during routine examination is one of the main reasons for the insufficient detection of muscle loss in the cohort of elderly patients. This review is of interest to a wide range of clinical physicians and radiologists, who are found in their practice with patients of older age groups.

About the Authors

V. L. Masenko
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation

Vladislav L. Masenko - MD, PhD, junior researcher of the laboratory of x-ray and tomographic diagnostics Research Institute for Complex Issues of Cardiovascular Diseases.

22a Voroshilova str., Kemerovo 650056.



A. N. Kokov
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation

Alexander N. Kokov - MD, PhD, head of laboratory of x-ray and tomographic diagnostics Research Institute for Complex Issues of Cardiovascular Diseases.

22a Voroshilova str., Kemerovo 650056.



I. I. Grigoreva
Kemerovo State Medical University
Russian Federation

Inessa I. Grigoreva - clinical post-graduate student of the department of propaedeutics of internal diseases Kemerovo State Medical University.

22a Voroshilova str., Kemerovo 650056.



K. E. Krivoshapova
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation

Kristina E. Krivoshapova - MD, PhD, researcher laboratory of pathophysiology of multifocal atherosclerosis Research Institute for Complex Issues of Cardiovascular Diseases.

22a Voroshilova str., Kemerovo 650056.



References

1. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia. European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in older people. Age Ageing. 2010; 39(4):412-423. DOI: 10.1093/ageing/afq034

2. Senile asthenia: clinical recommendations. All-Russian public organization "Russian Association of gerontologists and geriatricians" Moscow. 2018. (In Russian). Available at: http://uzrf.ru/userfiles/file/rokgw/GeriatricCenter/01-1-astenia_recomend.pdf

3. Collard RM. Prevalence of frailty in community dwelling older persons: a systematic review. J. Am. Geriatr. Soc. 2012 Aug; 60 (8):1487—1492. DOI: 10.1111/j.1532-5415.2012.04054.x

4. Gurina NA, Frolova EV, Degryse JM. A roadmap of aging in Russia: the prevalence of frailty in community-dwelling older adults in the St. Petersburg district — the «Crystal» study. J. Amer. Geriatr. Soc. 2011 Jun;59(6):980-988. DOI: 10.1111/j.1532—5415.2011.03448.x

5. Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Un-tangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. Journals of Gerontology Series A-Biological Sciences & Medical Sciences. 2004; 59 (3):255—263. DOI: 10.1093/gerona/59.3.m255

6. Fisher AL. Just what defines frailty? Journal of the American Geriatrics Society. 2007; 53(12):2229-2230. DOI: 10.1111/j.1532—5415.2005.00510.x

7. Curcio F, Ferro G, Basile C, Liguori I, Parrella P, Pirozzi F et al. Biomarkers in sarcopenia: a multifactorial approach. Exp Gerontol. 2016 Dec; 85:1-8. DOI: 10.1016/j.exger.2016.09.007

8. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, et al. Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019 Jan; 48(1):16-31. DOI: 10.1093/ageing/afy169

9. Beaudart C, Zaaria M, Pasleau FEO, Reginster JY, Bruyere O. Health outcomes of sarcopenia: A systematic review and meta-analysis. PLoS One. 2017 Jan; 12(1):e0169548. DOI: 10.1371/journal.pone.0169548

10. Marzeffi E. Editorial: imaging, functional and biological markers for sarcopenia: the pursuit of the golden ratio. J Frailty Aging. 2012; 1(3):97-98. DOI: 10.14283/jfa.2012.15

11. Sherk VD, Thiebaud RS, Chen Z, Karabulut M, Kim SJ, Bemben DA. Associations between pQCT-based fat and muscle area and density and DXA-based total and leg soft tissue mass in healthy women and men. J Musculoskelet Neuronal Interact. 2014; 14(4):411-417.

12. Kim JS, Kim WY, Park HK, Kim MC, Jung W, Ko BS. Simple age specific cutoff value for sarcopenia evaluated by computed tomography. Annals of nutrition & metabolism. 2017 Jan; 71(3-4):157-163. DOI: 10.1159/000480407

13. Joglekar S, Asghar A, Mott SL, Johnson BE, Button AM, Clark E, et al. Sarcopenia is an independent predictor of com-plications following pancreatectomy for adenocarcinoma. J Surg Oncol. 2015 Dec; 111(6):771-775. DOI: 10.1002/jso.23862

14. Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts. A population based study. Lancet. Oncol. 2008 Jun 1; 9(7):629-635. DOI: 10.1016/S1470-2045(08)70153-0

15. Takahashi N, Sugimoto M, Psutka SP, Chen B, Moynagh MR, Carter RE. Validation study of a new semiautomated software program for CT body composition analysis. Abdom Radiol. 2017 Apr; 42(9):2369-2375. DOI: 10.1007/s00261-017-1123-6

16. Van Vugt JL, Levolger S, Gharbharan A, Koek M, Niessen WJ, Burger JW, et al. A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients. J Cachexia Sarcopenia Muscle. 2017 Apr; 8(2):285-297. DOI: 10.1002/jcsm.12158

17. Yokota F, Otake Y, Takao M, Ogawa T, Okada T, Sugano N, et al. Au¬tomated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method. Int J Comput Assist Radiol Surg. 2018 Jul; 13(7):977-986. DOI: 10.1007/s11548-018-1758-y

18. Erlandson MC, Lorbergs AL, Mathur S, Cheung AM. Muscle analysis using pQCT, DXA and MRI. Eur J Radiol. 2016 Aug; 85(8):1505-1511. DOI: 10.1016/j.ejrad.2016.03.001

19. Hyun SJ, Bae CW, Lee SH, Rhim SC. Fatty degeneration of the paraspinal muscle in patients with degenerative lumbar kyphosis: a new evaluation method of quantitative digital analysis using MRI and CT scan. Clin Spine Surg. 2016 Dec; 29(10):441-447. DOI: 10.1097/BSD.0b013e3182aa28b0

20. Lee SH, Park SW, Kim YB, Nam TK, Lee YS. The fatty degeneration of lumbar paraspinal muscles on computed tomography scan according to age and disc level. Spine J. 2017 Jan; 17(1):81-87. DOI: 10.1016/j.spinee.2016.08.001

21. Kokov AN, Brel NK, Masenko VL, Gruzdeva OV, Karetnikova VN, Kashtalap VV, et al. Quantitative assessment of visceral adipose depot in patients with ischemic heart disease by using of modern tomographic methods. Complex Issues of Cardiovascular Diseases. 2017; 8(3):113-119.(In Russian). DOI: 10.17802/2306-1278-2017-6-3-113-119

22. Schrauwen-Hinderling VB, Hesselink MK, Schrauwen P, Kooi ME. Intramyocellular lipid content in human skeletal muscle. Obesity. 2006; 14(3):357-367. DOI: 10.1038/oby.2006.47

23. Yim JE, Heshka S, Albu J, Heymsfield S, Kuznia P, Harris T, et al. Intermuscular adipose tissue rivals' visceral adipose tissue in independent associations with cardiovascular risk. Int J Obes. 2007; 31(9):1400-1405. DOI: 10.1038/sj.ijo.0803621

24. Perreault L, Bergman BC, Hunerdosse DM, Eckel RH. Altered intramuscular lipid metabolism relates to diminished insulin action in men, but not women, in progression to diabetes. Obesi-ty. 2010; 18(11):2093-2100. DOI: 10.1038/oby.2010.76

25. Aubrey J, Esfandiari N, Baracos VE, Buteau FA, Frenette J, Putman CT, et al. Measurement of skeletal muscle radiation attenuation and basis of its biological variation. Acta Physiol. 2014; 210(3):489-497. DOI: 10.1111/apha.12224

26. Werf A van der, Langius JAE, Schueren MAE de van der, Nurmohamed SA, Pant KAMI van der, Blauwhoff-Buskermolen S, et al. Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population. Eur J Clin Nutr. 2018 Feb; 72(2):288-296. DOI: 10.1038/s41430-017-0034-5

27. Misnikova IV, Kovaleva YuA, Klimina NA. Sarcopenic obesity. RMJ — Russian Medical Journal 2017; 25(1):24-29. (In Russian).

28. Hamaguchi Y, Kaido T, Okumura S, Ito T, Fujimoto Y, Ogawa K, et al. Preoperative intramuscular adipose tissue content is a novel prognostic predictor after hepatectomy for hepatocellular carcinoma. J Hepatobiliary Pancreat Sci. 2015; 22(6):475-485. DOI: 10.1002/jhbp.236

29. Boer BC, de Graaff F, Brusse-Keizer M, Bouman DE, Slump=CH, Slee-Valentijn M, et al. Skeletal muscle mass and quality as risk factors for postoperative outcome after open colon resection for cancer. Int J Colorectal Dis. 2016; 31(6):1117-1124. DOI: 10.1007/s00384-016-2538-1

30. Del Fabbro E, Parsons H, Warneke CL, Pulivarthi K, Litton JK, Dev R, et al. The relationship between body composition and response to neoadjuvant chemotherapy in women with operable breast cancer. Oncologist. 2012; 17(10):1240-1245. DOI: 10.1634/theoncologist.2012-0169

31. Paknikar R, Friedman J, Cron D, Deeb GM, Chetcuti S, Gross¬man PM, et al. Psoas muscle size as a frailty measure for open and transcatheter aortic valve replacement. J Thorac Cardiovasc Surg. 2016; 151(3):745-750. DOI: 10.1016/j.jtcvs.2015.11.022

32. Dalakas MC. Inflammatory muscle diseases, N. Engl. J. Med. 2015; 373(4):393-394. DOI: 10.1056/NEJMra1402225

33. Grogey AS, Dudley GA. Skeletal muscle atrophy and increased instramuscular fat after imcomplete spinal cord injury. Spinal Cord. 2007; 45(5):304-309. DOI: 10.1038/sj.sc.3101968

34. Mathur S, Lott DJ, Senesac C, Germain SA, Vohra RS, Sweeney HL, et al. Age-related differences in lower-limb muscle cross-sectional area and torque production in boys with Duchenne muscular dystrophy. Arch. Phys. Med. Rehabil. 2010; 91(7):1051-1058. DOI: 10.1016/j.apmr.2010.03.024

35. Seabolt LA, Welch EB, Silver HJ. Imaging methods for analyzing body composition in human obesity and cardiometabolic disease. Ann N Y Acad Sci. 2015; 1353(1):41-59. DOI: 10.1111/nyas.12842

36. Prado CM, Heymsfield SB. Lean tissue imaging: a new era for nutritional assessment and intervention. JPEN J Parenter Enteral Nutr. 2014; 38(8):940-953. DOI: 10.1177/0148607114550189

37. Sinelnikov A, Chuanxing Qu, David T, Fetzer M, Pelletier JS, Michael A, et al. Measurement of Skeletal Muscle Area: Comparison of CT and MR Imaging. Eur J Radiol. 2016; 85(10):1716-1721. DOI: 10.1016/j.ejrad.2016.07.006

38. Kovanlikaya A, Guclu C, Desai C, Becerra R, Gilsanz V. Fat quantification using three-point Dixon technique: in vitro validation. Acad Radiol. 2005;12(5):636-639. DOI: 10.1016/j.acra.2005.01.019

39. Schlaeger S, Inhuber S, Rohrmeier A, Dieckmeyer M, Freitag F, Klupp E, et al. Association of paraspinal muscle water-fat MRI-based measurements with isometric strength measurements. Eur Radiol. 2019 Feb; 29(2):599-608. DOI: 10.1007/s00330-018-5631-8

40. Teichtahl AJ, Urquhart DM, Wang Y, Wluka AE, Wijethilake P, O'Sullivan R, et al. Fat infiltration of paraspinal muscles is associated with low back pain, disability, and structural abnormalities in community-based adults. Spine J. 2015; 15(7):1593-1601. DOI: 10.1016/j.spinee.2015.03.039

41. Buford TW, Lott DJ, Marzeffi E, Wohlgemuth SE, Vandenborne K, Pahor M, et al. Age-related differences in lower extremity tissue compartments and associations with physical function in older adults. Exp. Gerontol. 2012; 47(1):38-44. DOI: 10.1016/j.exger.2011.10.001

42. Lorbergs AL, Noseworthy MD, Adachi JD, Stratford PW, MacIntyre NJ. Fat infiltration in the leg is associated with bone geometry and physical function in healthy older women. Calcif. Tissue Int. 2015; 97(4):353-363. DOI: 10.1007/s00223-015-0018-1

43. Han A, Bokshan SL, Marcaccio SE, DePasse JM, Daniels AH. Di-agnostic Criteria and Clinical Outcomes in Sarcopenia Research: A Literature Review. J Clin Med. 2018; 7(4):70. DOI: 10.3390/jcm7040070

44. Murphy RA, Reinders I, Register TC, Ayonayon HN, Newman AB, Satterfield S, et al. Associations of BMI and adipose tissue area and density with incident mobility limitation and poor performance in older adults. Am J Clin Nutr. 2014; 99(5):1059-1065. DOI: 10.3945/ajcn.113.080796

45. White LJ, Ferguson MA, McCoy SC, Kim H. Intramyocellular lipid changes in men and women during aerobic exercise: a(1) H-magnetic resonance spectroscopy study. J Clin Endocrinol Metab. 2003; 88(12):5638-5643. DOI: 10.1210/jc.2003-031006

46. Rubbieri G, Mossello E, Di Bari M. Techniques for the diagnosis of sarcopenia. Clinical cases in mineral and bone metabolism: the official journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal Diseases. 2014; 11(3):181-184 DOI: 10.11138/ccmbm/2014.11.3.181

47. Pietrobelli A, Formica C, Wang Z, Hetmsfield SB. Dual-energy X-ray absorptiometry body composition model: review of physical concepts. Am. J. Physiol.-Endocrinol. Metab. 1996; 271(6):941-951. DOI: 10.1152/ajpendo.1996.271.6.E941

48. Freda P, Wei S, Reyes-Vidal C, Eliza B, Arias-Mendoza F, Gallagher D, et al. Skeletal muscle mass in acromegaly assessed by magnetic resonance imaging and dual-photon X-ray absorptiometry. J. Clin. Endocrinol. Metab. 2009; 94(8):2880-2886. DOI: 10.1210/jc.2009-0026

49. Sirola J, Kroger H. Similarities in acquired factors related to postmenopausal osteoporosis and sarcopenia. J Osteoporos. 2011; 2011:14. DOI: 10.4061/2011/536735

50. Misnikova IV, Kovaleva YuA, Klimina NA, Polyakova EY. Assessment of muscle and fat mass in type 2 diabetes mellitus patients by dual-energy X-ray absorptiometry. Almanac of Clinical Medicine. 2018; 46(3):222-232.(In Russian). DOI: 10.18786/2072-0505-2018-46-3-222-232

51. Lee S, Kuk JL. Changes in fat and skeletal muscle with exercise training in obese adolescents: comparison of whole-body MRI and dual energy X-ray absorptiometry. Obesity.2013; 21(10):2063-2071. DOI: 10.1002/oby.20448

52. Ticinesi A, Meschi T, Narici MV, Lauretani F, Maggio M. Muscle Ultrasound and Sarcopenia in Older Individuals: A Clinical Perspective. J Am Med Dir Assoc. 2017; 18(4):290-300. DOI: 10.1016/j.jamda.2016.11.013

53. Berger J, Bunout D, Barrera G, de la Maza MP, Henriquez S, Leiva L, et al. Rectus femoris(RF) ultrasound for the assessment of muscle mass in older people. Arch Gerontol Geriatr. 2015; 61(1):33-38. DOI: 10.1016/j.archger.2015.03.006

54. Sanada K, Kearns CF, Midorikawa T, Abe T. Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults. Eur J Appl Physiol. 2006; 96(1):24-31. DOI: 10.1007/s00421-005-0061-0

55. Narici M, Franchi M, Maganaris C. Muscle structural assembly and functional consequences. J Exp Biol. 2016; 219:276-284. DOI: 10.1242/jeb.128017

56. Watanabe Y, Yamada Y, Fukumoto Y, Ishihara T, Yokoyama K, Yoshida T, et al. Echo intensity obtained from ultrasonography im-ages reflecting muscle strength in elderly men. Clin Interv Aging. 2013; 8:993-998. DOI: 10.2147/CIA.S47263

57. Drakonaki EE, Allen GM, Wilson DJ. Ultrasound elastography for musculoskeletal applications. Br J Radiol. 2012; 85(1019):1435-1445. DOI: 10.1259/bjr/93042867


Review

For citations:


Masenko V.L., Kokov A.N., Grigoreva I.I., Krivoshapova K.E. Radiology methods of the sarcopenia diagnosis. Research and Practical Medicine Journal. 2019;6(4):127-137. (In Russ.) https://doi.org/10.17709/2409-2231-2019-6-4-13

Views: 1426


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2410-1893 (Online)