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

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 du...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Respiratory Research
Subjects:
Online Access:https://doi.org/10.1186/s12931-022-02239-8
_version_ 1797985495063461888
author 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
author_facet 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
author_sort Tilo Winkler
collection DOAJ
description 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.
first_indexed 2024-04-11T07:19:08Z
format Article
id doaj.art-b72092f0ebae45b79c5c838832f9ffbc
institution Directory Open Access Journal
issn 1465-993X
language English
last_indexed 2024-04-11T07:19:08Z
publishDate 2022-12-01
publisher BMC
record_format Article
series Respiratory Research
spelling doaj.art-b72092f0ebae45b79c5c838832f9ffbc2022-12-22T04:37:49ZengBMCRespiratory Research1465-993X2022-12-0123111610.1186/s12931-022-02239-8Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarkerTilo Winkler0Puja Kohli1Vanessa J. Kelly2Ekaterina G. Kehl3Alison S. Witkin4Josanna M. Rodriguez-Lopez5Kathryn A. Hibbert6Mamary T. Kone7David M. Systrom8Aaron B. Waxman9Jose G. Venegas10Richard N. Channick11R. Scott Harris12Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital and Harvard Medical SchoolAbstract 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.https://doi.org/10.1186/s12931-022-02239-8Pulmonary circulationVascular physiologyFunctional imagingPositron emission tomographyPerfusion distributionVentilation
spellingShingle 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
Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
Respiratory Research
Pulmonary circulation
Vascular physiology
Functional imaging
Positron emission tomography
Perfusion distribution
Ventilation
title Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
title_full Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
title_fullStr Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
title_full_unstemmed Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
title_short Perfusion imaging heterogeneity during NO inhalation distinguishes pulmonary arterial hypertension (PAH) from healthy subjects and has potential as an imaging biomarker
title_sort perfusion imaging heterogeneity during no inhalation distinguishes pulmonary arterial hypertension pah from healthy subjects and has potential as an imaging biomarker
topic Pulmonary circulation
Vascular physiology
Functional imaging
Positron emission tomography
Perfusion distribution
Ventilation
url https://doi.org/10.1186/s12931-022-02239-8
work_keys_str_mv AT tilowinkler perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT pujakohli perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT vanessajkelly perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT ekaterinagkehl perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT alisonswitkin perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT josannamrodriguezlopez perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT kathrynahibbert perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT mamarytkone perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT davidmsystrom perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT aaronbwaxman perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT josegvenegas perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT richardnchannick perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker
AT rscottharris perfusionimagingheterogeneityduringnoinhalationdistinguishespulmonaryarterialhypertensionpahfromhealthysubjectsandhaspotentialasanimagingbiomarker