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Correlations between computational fluid dynamics and clinical evaluation of nasal airway obstruction due to septal deviation: An observational study.

Thomas RadulescoLionel MeisterGilles BouchetArthur VaroquauxJérôme GiordanoJulien ManciniPatrick DessiPierre PerrierJustin Michel
Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2019)
This study aimed to enhance our ability to interpret CFD-calculated data in the nasal airway. It highlights and confirms that heat flux measures are very closely correlated to patient perception in cases of SD. It also helps to distinguish the more obstructed side from the less obstructed side and could contribute to further CFD studies.
Keyphrases
  • clinical evaluation
  • chronic rhinosinusitis
  • case report
  • electronic health record
  • heart failure
  • big data
  • heat stress
  • machine learning
  • case control
  • left ventricular
  • deep learning
  • artificial intelligence