Knee Muscles Composition Using Electrical Impedance Myography and Magnetic Resonance Imaging

被引:1
作者
Albano, Domenico [1 ]
Gitto, Salvatore [2 ]
Vitale, Jacopo [1 ]
Bernareggi, Susan [1 ]
Lamorte, Sveva [3 ]
Aliprandi, Alberto [4 ]
Sconfienza, Luca Maria [1 ,2 ]
Messina, Carmelo [1 ,2 ]
机构
[1] IRCCS Ist Ortoped Galeazzi, I-20161 Milan, Italy
[2] Univ Milan, Dipartimento Sci Biomed Salute, I-20122 Milan, Italy
[3] Univ Parma, Scuola Specializzaz Radiodiagnost, I-43121 Parma, Italy
[4] Ist Clin Zucchi, Unita Operat Radiol, I-20052 Monza, Italy
关键词
Skulpt Chisel (TM); electrical impedance myography; magnetic resonance imaging; body composition; sarcopenia; muscle; knee; SKELETAL-MUSCLE; SARC-F; SARCOPENIA;
D O I
10.3390/diagnostics12092217
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
We evaluated the correlation of electrical impedance myography (EIM) measurements of knee muscles composition using Skulpt Chisel (TM) with MRI data retrieved from muscles segmentation. A total of 140 patients (71 females, 52 +/- 21 years) underwent knee MRI, EIM with Skulpt (R) , and clinical evaluation (SARC-F questionnaire). MRIs were reviewed to assess the cross-sectional area (CSA) and skeletal muscle index (SMI = CSA/height(2)) of vastus medialis, vastus lateralis, biceps, semimembranosus, and sartorius. We tested the correlations of EIM-derived parameters [body fat-percentage (BF%) and muscle quality] with total CSA, CSA of each muscle, SMI, and SARC-F scores (0-10) using Pearson correlation coefficient. We found medium negative correlation of BF% with SMI (r = -0.430, p < 0.001) and total CSA (r = -0.445, p < 0.001), particularly with biceps (r = -0.479, p < 0.001), sartorius (r = -0.440, p < 0.001), and semimembranosus (r = -0.357, p < 0.001). EIM-derived muscle quality showed small-to-medium positive correlation with MRI measurements, ranging from r = 0.234 of biceps (p = 0.006) to r = 0.302 of total CSA (p < 0.001), except for vastus lateralis (r = 0.014, p = 0.873). SARC-F scores showed small correlations with EIM and MRI data, ranging from r = -0.132 (p = 0.121) with EIM muscle quality to r = -0.288 (p = 0.001) with CSA of vastus medialis. Hence, we observed small-to-medium correlations of muscle parameters derived from Skulpt Chisel (TM) with SARC-F scores and MRI parameters. We recommend using Skulpt Chisel (TM) with caution for assessing knee skeletal muscles composition.
引用
收藏
页数:9
相关论文
共 50 条
[31]   Quantitative analysis of human masticatory muscles using magnetic resonance imaging [J].
Ng, H. P. ;
Foong, K. W. C. ;
Ong, S. H. ;
Goh, P. S. ;
Huang, S. ;
Liu, J. ;
Nowinski, W. L. .
DENTOMAXILLOFACIAL RADIOLOGY, 2009, 38 (04) :224-231
[32]   Magnetic resonance imaging of knee instability [J].
Mohana-Borges, AVR ;
Resnick, D ;
Chung, CB .
SEMINARS IN MUSCULOSKELETAL RADIOLOGY, 2005, 9 (01) :17-33
[33]   Magnetic resonance imaging of variants of the knee [J].
Snoeckx, A. ;
Vanhoenacker, F. M. ;
Gielen, J. L. ;
Van Dyck, P. ;
Parizel, P. M. .
SINGAPORE MEDICAL JOURNAL, 2008, 49 (09) :734-743
[34]   Magnetic Resonance Imaging of the Pediatric Knee [J].
Gill, Kara G. ;
Nemeth, Blaise A. ;
Davis, Kirkland W. .
MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2014, 22 (04) :743-+
[35]   Body composition assessment: comparison of quantitative values between magnetic resonance imaging and computed tomography [J].
Zaffina, Chiara ;
Wyttenbach, Rolf ;
Pagnamenta, Alberto ;
Grasso, Rosario Francesco ;
Biroli, Matteo ;
Del Grande, Filippo ;
Rizzo, Stefania .
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2022, 12 (02) :1450-+
[36]   UNBIASED ESTIMATION OF HUMAN-BODY COMPOSITION BY THE CAVALIERI METHOD USING MAGNETIC-RESONANCE-IMAGING [J].
ROBERTS, N ;
CRUZORIVE, LM ;
REID, NMK ;
BRODIE, DA ;
BOURNE, M ;
EDWARDS, RHT .
JOURNAL OF MICROSCOPY-OXFORD, 1993, 171 :239-253
[37]   Magnetic resonance imaging of skeletal muscles in the polymyositis [J].
Fujitake, J ;
Ishikawa, Y ;
Fujii, H ;
Nishimura, K ;
Hayakawa, K ;
Tatsuoka, Y .
MUSCLE & NERVE, 1997, 20 (11) :1463-1466
[38]   Quantitative Study On Biochemical Composition Of Knee Joint Based On Magnetic Resonance Physiologic Imaging [J].
Zhu, Yong .
2019 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA), 2019, :179-183
[39]   Analyzing Temperature Dependence of Electrical Impedance Myography Parameters using Finite Element Model [J].
Rabbi, Khondokar M. F. ;
Baidya, Somen ;
Ahad, Mohammad A. .
IEEE SOUTHEASTCON 2015, 2015,
[40]   Age assessment by magnetic resonance imaging of the knee: A preliminary study [J].
Dedouit, Fabrice ;
Auriol, Julien ;
Rousseau, Herve ;
Rouge, Daniel ;
Crubezy, Eric ;
Telmon, Norbert .
FORENSIC SCIENCE INTERNATIONAL, 2012, 217 (1-3) :232.e1-232.e7