Respiratory Research (Dec 2022)

Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker

  • Tilo Winkler,
  • Puja Kohli,
  • Vanessa J. Kelly,
  • Ekaterina G. Kehl,
  • Alison S. Witkin,
  • Josanna M. Rodriguez-Lopez,
  • Kathryn A. Hibbert,
  • Mamary T. Kone,
  • David M. Systrom,
  • Aaron B. Waxman,
  • Jose G. Venegas,
  • Richard N. Channick,
  • R. Scott Harris

DOI
https://doi.org/10.1186/s12931-022-02239-8
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 16

Abstract

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Abstract Background Without aggressive treatment, pulmonary arterial hypertension (PAH) has a 5-year mortality of approximately 40%. A patient’s response to vasodilators at diagnosis impacts the therapeutic options and prognosis. We hypothesized that analyzing perfusion images acquired before and during vasodilation could identify characteristic differences between PAH and control subjects. Methods We studied 5 controls and 4 subjects with PAH using HRCT and 13NN PET imaging of pulmonary perfusion and ventilation. The total spatial heterogeneity of perfusion (CV2 Qtotal) and its components in the vertical (CV2 Qvgrad) and cranio-caudal (CV2 Qzgrad) directions, and the residual heterogeneity (CV2 Qr), were assessed at baseline and while breathing oxygen and nitric oxide (O2 + iNO). The length scale spectrum of CV2 Qr was determined from 10 to 110 mm, and the response of regional perfusion to O2 + iNO was calculated as the mean of absolute differences. Vertical gradients in perfusion (Qvgrad) were derived from perfusion images, and ventilation-perfusion distributions from images of 13NN washout kinetics. Results O2 + iNO significantly enhanced perfusion distribution differences between PAH and controls, allowing differentiation of PAH subjects from controls. During O2 + iNO, CV2 Qvgrad was significantly higher in controls than in PAH (0.08 (0.055–0.10) vs. 6.7 × 10–3 (2 × 10–4–0.02), p < 0.001) with a considerable gap between groups. Qvgrad and CV2 Qtotal showed smaller differences: − 7.3 vs. − 2.5, p = 0.002, and 0.12 vs. 0.06, p = 0.01. CV2 Qvgrad had the largest effect size among the primary parameters during O2 + iNO. CV2 Qr, and its length scale spectrum were similar in PAH and controls. Ventilation-perfusion distributions showed a trend towards a difference between PAH and controls at baseline, but it was not statistically significant. Conclusions Perfusion imaging during O2 + iNO showed a significant difference in the heterogeneity associated with the vertical gradient in perfusion, distinguishing in this small cohort study PAH subjects from controls.

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