Airflow Characteristics of Empty Nose Syndrome: Insights From Patient‐Specific Computational Modeling of Airflow Distribution Patterns and Nasal Air‐Conditioning

Yang Na, Kyung Won Kwon, Yong Ju Jang

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DOI: 10.1002/lio2.70567
Published: 2026-10
Container: Laryngoscope Investigative Otolaryngology
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/lio2.70567,
  title = {Airflow Characteristics of Empty Nose Syndrome: Insights From Patient‐Specific Computational Modeling of Airflow Distribution Patterns and Nasal Air‐Conditioning},
  author = {Yang Na and Kyung Won Kwon and Yong Ju Jang},
  year = {2026},
  journal = {Laryngoscope Investigative Otolaryngology},
  doi = {10.1002/lio2.70567},
  url = {https://doi.org/10.1002/lio2.70567}
}

RIS

TY  - JOUR
TI  - Airflow Characteristics of Empty Nose Syndrome: Insights From Patient‐Specific Computational Modeling of Airflow Distribution Patterns and Nasal Air‐Conditioning
AU  - Yang Na
AU  - Kyung Won Kwon
AU  - Yong Ju Jang
PY  - 2026
JO  - Laryngoscope Investigative Otolaryngology
DO  - 10.1002/lio2.70567
UR  - https://doi.org/10.1002/lio2.70567
ER  -

APA

Na, Y., Kwon, K. W., & Jang, Y. J. (2026). Airflow Characteristics of Empty Nose Syndrome: Insights From Patient‐Specific Computational Modeling of Airflow Distribution Patterns and Nasal Air‐Conditioning. Laryngoscope Investigative Otolaryngology. https://doi.org/10.1002/lio2.70567

Source records

crossref · retrieved 2026-11-10T12:22:29.941Z