Noninvasive pulmonary arterial pressure estimation using a logistic-based systolic model

Hyunsuk Frank Roh, Jung Mogg Kim

Research output: Contribution to journalArticle

Abstract

Rationale: A hemodynamic relationship of pulmonary artery pressure (PAP) to pulmonary acceleration time (PAcT) has not yet been explicitly presented. Objective: We employed a logistic-based systolic model with a subtle modification for pulmonary circulation and provided a logical ground for the relationship between systolic PAP and PAcT using transthoracic echocardiography. Additionally, the logistic-based PAP estimation equation was deduced from the model to relate systolic PAP and PAcT. Methods and results: This equation was statistically tested in comparison to existing PAP estimation equations. Results showed that the logistic-based PAP estimation equation was at least as accurate as previous equations with respect to previously published mean PAP versus PAcT values. After the subtle pulmonary modification of the model, the pulmonary blood flow velocity and pressure not only well reflected the underlying pulmonary circulation physiology, but could also be presented in harmony with systemic circulation physiology. Conclusions: A future clinical study with actual systolic PAP versus PAcT measurements is needed to test the application of the logistic-based PAP estimation equation.

Original languageEnglish
Pages (from-to)209-216
Number of pages8
JournalComputers in Biology and Medicine
Volume95
DOIs
StatePublished - 2018 Apr 1

Fingerprint

Logistics
Pulmonary Artery
Arterial Pressure
Pressure
Lung
Pulmonary Circulation
Physiology
Acceleration measurement
Echocardiography
Blood Flow Velocity
Hemodynamics
Time measurement
Flow velocity
Blood

Keywords

  • Hemodynamics
  • Logistic-based modeling
  • Pulmonary artery acceleration time
  • Pulmonary artery pressure
  • Transthoracic echocardiography

Cite this

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Noninvasive pulmonary arterial pressure estimation using a logistic-based systolic model. / Roh, Hyunsuk Frank; Kim, Jung Mogg.

In: Computers in Biology and Medicine, Vol. 95, 01.04.2018, p. 209-216.

Research output: Contribution to journalArticle

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