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Correction: Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics

Respiratory Research volume 24, Article number: 31 (2023) Cite this article

The Original Article was published on 11 November 2022

Correction: Respiratory Research (2022) 23:309 https://doi.org/10.1186/s12931-022-02113-7

Following publication of the original article [1], the authors would like to update the funding section.

It has been updated in this correction.

The updated Funding section should read as below:

Funding

This study was supported by the National Natural Science Foundation of China (61976238); Shanghai Municipal Science and Technology Commission (21Y11910500); Shanghai Municipal Health Commission (20204Y0299); Medical Imaging Key Program of Wise Information Technology of 120, Health Commission of Shanghai 2018ZHYL0103 (ML), “Future Star” of famous doctors’ training plan of Fudan University. This study was also supported by the Shanghai Municipal Science and Technology Commission (20Y11902900).

The original article has been corrected.

Reference

  1. Lu J, Ge H, Qi L, Zhang S, Yang Y, Huang X, Li M. Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics. Respir Res. 2022;23:309. https://doi.org/10.1186/s12931-022-02113-7.

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Author notes

  1. Jinjuan Lu and Haiyan Ge contributed equally to this work

Authors and Affiliations

  1. Department of Radiology, Huadong Hospital Affiliated to Fudan University, 221 West Yanan Road, Jingan District, Shanghai, 200040, China

    Jinjuan Lu, Lin Qi, Shaojie Zhang, Yuling Yang, Xuemei Huang & Ming Li

  2. Department of Respiratory Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China

    Haiyan Ge

Authors
  1. Jinjuan Lu
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  2. Haiyan Ge
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  3. Lin Qi
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  4. Shaojie Zhang
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  5. Yuling Yang
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  6. Xuemei Huang
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  7. Ming Li
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Corresponding authors

Correspondence to Lin Qi or Ming Li.

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Lu, J., Ge, H., Qi, L. et al. Correction: Subtyping preserved ratio impaired spirometry (PRISm) by using quantitative HRCT imaging characteristics. Respir Res 24, 31 (2023). https://doi.org/10.1186/s12931-023-02325-5

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  • DOI: https://doi.org/10.1186/s12931-023-02325-5

Respiratory Research

ISSN: 1465-993X

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