Non-invasive diagnosis of pulmonary hypertension from lung Doppler signal: a proof of concept study

Laurent Godinas, Frédéric Lador, Rachel Schatzberger, Sven Günther, Michael J. Segel, Yoram Palti, Ernesto Maisuls, Olivier Sitbon, Gérald Simonneau

Research output: Contribution to journalArticlepeer-review

Abstract

Transthoracic Parametric Doppler (TPD) is a novel ultrasound technique recently developed for the investigation of pulmonary blood vessels. Lung Doppler Signals (LDS) recorded from TPD provide information regarding the functional mechanical characteristics of pulmonary blood vessels. We aimed to define the specific profile of LDS generated from TPD imaging in patients with pulmonary hypertension (PH), and to evaluate the diagnostic performance of LDS to detect PH using right heart catheterization (RHC) as gold standard reference. Seventy nine PH patients and 79 healthy controls matched for age, gender and BMI were recruited in a prospective case–control multicenter study. LDS recordings were performed by TPD consisting of a pulsed Doppler with a 2 MHz single element transducer. LDS were recorded within 24 h of RHC. Following LDS extraction, classification and performance evaluation were performed offline using a support vector machine (k-fold cross validation method). The best LDS parameters for PH detection were (1) peak velocity of the systolic (S) and diastolic (D) signals, (2) the rise slope of the S and D signals, and (3) time to peak of the S signal. Overall, the sensitivity and specificity of TPD for detection of PH were 82.7 % (95 % CI 81.3–84.1) and 87.4 % (95 % CI 86.3–88.5), respectively, with an area under the receiver operating curve of 0.95 (95 % CI 0.94–0.96). Detection rate of PH increased progressively with the level of mean pulmonary artery pressure. LDS recorded by TPD display a specific profile in PH and appears to be a promising and reliable tool for PH diagnosis. Further studies are required to confirm the clinical usefulness of LDS.

Original languageEnglish
Pages (from-to)903-910
Number of pages8
JournalJournal of Clinical Monitoring and Computing
Volume31
Issue number5
DOIs
StatePublished - 1 Oct 2017

Keywords

  • Detection
  • Lung doppler signal
  • Non-invasive diagnosis
  • Pulmonary hypertension
  • Screening

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