Skip to main content
SpringerLink
Log in

Reply to Letter to the Editor re: Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region

  • Chest
  • Published:
European Radiology Aims and scope Submit manuscript

The Original Article was published on 05 May 2017

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Shen G, Kuang A (2016) Letter to the Editor re: Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region. Eur Radiol

  2. Henz Concatto N, Watte G, Marchiori E et al (2016) Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region. Eur Radiol 26:2915–2920

    Article  PubMed  Google Scholar 

  3. Luna A, Sánchez-Gonzalez J, Caro P (2011) Diffusion-weighted imaging of the chest. Magn Reson Imaging Clin N Am 19:69–94

    Article  PubMed  Google Scholar 

  4. Liu H, Liu Y, Yu T, Ye N (2010) Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions. Eur Radiol 20:807–815

    Article  PubMed  Google Scholar 

  5. Uto T, Takehara Y, Nakamura Y et al (2009) Higher sensitivity and specificity for diffusion-weighted imaging of malignant lung lesions without apparent diffusion coefficient quantification. Radiology 252:247–254

    Article  PubMed  Google Scholar 

  6. Broncano J, Luna A, Sánchez-González J, Alvarez-Kindelan A, Bhalla S (2016) Functional MR imaging in chest malignancies. Magn Reson Imaging Clin N Am 24:135–155

    Article  PubMed  Google Scholar 

  7. Koyama H, Ohno Y, Seki S et al (2015) Value of diffusion-weighted MR imaging using various parameters for assessment and characterization of solitary pulmonary nodules. Eur J Radiol 84:509–515

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors declare no conflicts of interest.

Publisher’s Note

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

Author information

Authors and Affiliations

  1. Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil

    Natália Henz Concatto

  2. Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Brazil

    Guilherme Watte, José Carlos Felicetti, José Jesus Camargo & Bruno Hochhegger

  3. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Edson Marchiori

  4. Central Manchester University Hospitals – NHS Foundation Trust, Manchester, UK

    Klaus Irion

Authors
  1. Natália Henz Concatto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guilherme Watte
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edson Marchiori
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Klaus Irion
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. José Carlos Felicetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. José Jesus Camargo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Bruno Hochhegger
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Natália Henz Concatto.

Additional information

This reply refers to the Letter to the Editor available at http://dx.doi.org/10.1007/s00330-017-4798-8.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Concatto, N.H., Watte, G., Marchiori, E. et al. Reply to Letter to the Editor re: Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region. Eur Radiol 27, 4017–4018 (2017). https://doi.org/10.1007/s00330-017-4799-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-017-4799-7

Keywords

Search

Navigation