Skip to main content
Log in

Reply to: In silico diagnosis for sarcopenia is not possible without anthropometric, strength, and performance assessments

  • Letter to the Editor
  • Published:
Skeletal Radiology Aims and scope Submit manuscript

The Original Article was published on 18 July 2020

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Zannoni S, Albano D, Jannone ML, Messina C, Sconfienza LM. Correlation between muscle mass and quality around the hip and of psoas muscles at L3 level using unenhanced CT scans. Skeletal Radiol. 2020;49:1649–55.

  2. Albano D, Messina C, Vitale J, Sconfienza LM. Imaging of sarcopenia: old evidence and new insights. Eur Radiol. 2020;30:2199–208.

    Article  Google Scholar 

  3. Messina C, Vitale JA, Pedone L, Chianca V, Vicentin I, Albano D et al. Critical appraisal of papers reporting recommendation on sarcopenia using the AGREE II tool: a EuroAIM initiative. Eur J Clin Nutr. 2020;74:1164–72.

  4. 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. 2020;8:86–99.

    Article  Google Scholar 

  5. Codari M, Zanardo M, di Sabato ME, Nocerino E, Messina C, Sconfienza LM, et al. MRI-derived biomarkers related to sarcopenia: a systematic review. J Magn Reson Imaging. 2020;51:1117–27.

    Article  Google Scholar 

  6. Hameroff SR. Ultimate computing: biomolecular consciousness and nanotechnology. Elsevier 2014. ISBN 978-0-444-60009-7.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Domenico Albano.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zannoni, S., Albano, D., Jannone, M.L. et al. Reply to: In silico diagnosis for sarcopenia is not possible without anthropometric, strength, and performance assessments. Skeletal Radiol 50, 465–466 (2021). https://doi.org/10.1007/s00256-020-03680-w

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00256-020-03680-w

Navigation