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For: Guerri S, Mercatelli D, Aparisi Gómez MP, Napoli A, Battista G, Guglielmi G, Bazzocchi A. Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia. Quant Imaging Med Surg 2018;8:60-85. [PMID: 29541624 DOI: 10.21037/qims.2018.01.05] [Cited by in Crossref: 48] [Cited by in F6Publishing: 63] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
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14 Jerban S, Alenezi S, Afsahi AM, Ma Y, Du J, Chung CB, Chang E. MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review. Magnetic Resonance Imaging 2022. [DOI: 10.1016/j.mri.2022.01.009] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Holubiac IȘ. Osteoporosis. Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond 2022. [DOI: 10.1016/b978-0-323-85174-9.00005-4] [Reference Citation Analysis]
16 Shi P, Mo S, Li J, Feng Q, Huang Y, Ma X, Li B, Fang Z, Liu H, Huang G, Tang L, Wang J, Fang X. Relationship between Muscle Strength, Muscle Mass and BMD in Postmenopausal Female of Zhuang in Guangxi Province of China. JBM 2022;10:87-97. [DOI: 10.4236/jbm.2022.102009] [Reference Citation Analysis]
17 Negm AM, Papaioannou A. Diagnosis of osteosarcopenia—Clinical. Osteosarcopenia 2022. [DOI: 10.1016/b978-0-12-820088-9.00009-3] [Reference Citation Analysis]
18 Tagliafico AS, Rossi F, Bignotti B, Torri L, Bonsignore A, Belgioia L, Domineitto A. CT-derived relationship between low relative muscle mass and bone damage in patients with multiple myeloma undergoing stem cells transplantation. Br J Radiol 2021;:20210923. [PMID: 34918544 DOI: 10.1259/bjr.20210923] [Reference Citation Analysis]
19 Jung YW, Hong N, Na JC, Han WK, Rhee Y. Computed Tomography-Derived Skeletal Muscle Radiodensity Is an Early, Sensitive Marker of Age-Related Musculoskeletal Changes in Healthy Adults. Endocrinol Metab (Seoul) 2021. [PMID: 34897260 DOI: 10.3803/EnM.2021.1206] [Reference Citation Analysis]
20 Tantisattamo E, Kalantar-Zadeh K, Halleck F, Duettmann W, Naik M, Budde K. Novel approaches to sarcopenic obesity and weight management before and after kidney transplantation. Curr Opin Nephrol Hypertens 2021;30:14-26. [PMID: 33186218 DOI: 10.1097/MNH.0000000000000673] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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22 Kang MG, Kang SJ, Roh HK, Jung HY, Kim SW, Choi JY, Kim KI. Accuracy and Diversity of Wearable Device-Based Gait Speed Measurement Among Older Men: Observational Study. J Med Internet Res 2021;23:e29884. [PMID: 34633293 DOI: 10.2196/29884] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Greco F, Mallio CA. Artificial intelligence and abdominal adipose tissue analysis: a literature review. Quant Imaging Med Surg 2021;11:4461-74. [PMID: 34603998 DOI: 10.21037/qims-21-370] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
24 Fernández-Pombo A, Rodríguez-Carnero G, Castro AI, Cantón-Blanco A, Seoane LM, Casanueva FF, Crujeiras AB, Martínez-Olmos MA. Relevance of nutritional assessment and treatment to counteract cardiac cachexia and sarcopenia in chronic heart failure. Clin Nutr 2021;40:5141-55. [PMID: 34461588 DOI: 10.1016/j.clnu.2021.07.027] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
25 Kim EH, Kim KW, Shin Y, Lee J, Ko Y, Kim YJ, Lee MJ, Bae SJ, Park SW, Choe J, Kim HK. Reference Data and T-Scores of Lumbar Skeletal Muscle Area and Its Skeletal Muscle Indices Measured by CT Scan in a Healthy Korean Population. J Gerontol A Biol Sci Med Sci 2021;76:265-71. [PMID: 32179888 DOI: 10.1093/gerona/glaa065] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 18.0] [Reference Citation Analysis]
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29 Nozoe M, Kubo H, Kanai M, Yamamoto M, Okakita M, Suzuki H, Shimada S, Mase K. Reliability and validity of measuring temporal muscle thickness as the evaluation of sarcopenia risk and the relationship with functional outcome in older patients with acute stroke. Clin Neurol Neurosurg 2021;201:106444. [PMID: 33395619 DOI: 10.1016/j.clineuro.2020.106444] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
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31 Shoepe TC, LaBrie JW, Mello GT, Leggett AG, Almstedt HC. Intensity of resistance training via self-reported history is critical in properly characterizing musculoskeletal health. BMC Musculoskelet Disord 2020;21:729. [PMID: 33172425 DOI: 10.1186/s12891-020-03753-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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35 Nagaraju S, Mangus RS, Salisbury TA, Bush WJ, Davis JP, Powelson JA, Fridell JA. Radiologic Assessment of Muscle and Fat Stores in Long-Term Type I Diabetics Referred for Pancreas Transplant Compared to Healthy Controls. Diabetes Metab Syndr Obes 2020;13:2989-95. [PMID: 32943894 DOI: 10.2147/DMSO.S257992] [Reference Citation Analysis]
36 Messina C, Albano D, Gitto S, Tofanelli L, Bazzocchi A, Ulivieri FM, Guglielmi G, Sconfienza LM. Body composition with dual energy X-ray absorptiometry: from basics to new tools. Quant Imaging Med Surg 2020;10:1687-98. [PMID: 32742961 DOI: 10.21037/qims.2020.03.02] [Cited by in Crossref: 37] [Cited by in F6Publishing: 44] [Article Influence: 18.5] [Reference Citation Analysis]
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38 Peng X, Li X, Xu Z, Wang L, Cai W, Yang S, Liao W, Cheng X. Age-related fatty infiltration of lumbar paraspinal muscles: a normative reference database study in 516 Chinese females. Quant Imaging Med Surg 2020;10:1590-601. [PMID: 32742954 DOI: 10.21037/qims-19-835] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
39 Cornacchia S, La Tegola L, Maldera A, Pierpaoli E, Tupputi U, Ricatti G, Eusebi L, Salerno S, Guglielmi G. Radiation protection in non-ionizing and ionizing body composition assessment procedures. Quant Imaging Med Surg 2020;10:1723-38. [PMID: 32742963 DOI: 10.21037/qims-19-1035] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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60 Aparisi Gómez MP, Ponti F, Mercatelli D, Gasperini C, Napoli A, Battista G, Cariani S, Marchesini G, Bazzocchi A. Correlation between DXA and laboratory parameters in normal weight, overweight, and obese patients. Nutrition 2019;61:143-50. [PMID: 30711863 DOI: 10.1016/j.nut.2018.10.023] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
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