Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms
Abstract The aim of this study was to investigate the pulmonary vasculature in baseline conditions and after maternal hyperoxygenation in growth restricted fetuses (FGR). A prospective cohort study of singleton pregnancies including 97 FGR and 111 normally grown fetuses was carried out. Ultrasound D...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-54603-x |
| _version_ | 1827284353805189120 |
|---|---|
| author | Kilian Vellvé Patricia Garcia-Canadilla Mariana Nogueira Lina Youssef Angela Arranz Ayako Nakaki David Boada Isabel Blanco Rosa Faner Francesc Figueras Àlvar Agustí Eduard Gratacós Francesca Crovetto Bart Bijnens Fàtima Crispi |
| author_facet | Kilian Vellvé Patricia Garcia-Canadilla Mariana Nogueira Lina Youssef Angela Arranz Ayako Nakaki David Boada Isabel Blanco Rosa Faner Francesc Figueras Àlvar Agustí Eduard Gratacós Francesca Crovetto Bart Bijnens Fàtima Crispi |
| author_sort | Kilian Vellvé |
| collection | DOAJ |
| description | Abstract The aim of this study was to investigate the pulmonary vasculature in baseline conditions and after maternal hyperoxygenation in growth restricted fetuses (FGR). A prospective cohort study of singleton pregnancies including 97 FGR and 111 normally grown fetuses was carried out. Ultrasound Doppler of the pulmonary vessels was obtained at 24–37 weeks of gestation and data were acquired before and after oxygen administration. After, Machine Learning (ML) and a computational model were used on the Doppler waveforms to classify individuals and estimate pulmonary vascular resistance (PVR). Our results showed lower mean velocity time integral (VTI) in the main pulmonary and intrapulmonary arteries in baseline conditions in FGR individuals. Delta changes of the main pulmonary artery VTI and intrapulmonary artery pulsatility index before and after hyperoxygenation were significantly greater in FGR when compared with controls. Also, ML identified two clusters: A (including 66% controls and 34% FGR) with similar Doppler traces over time and B (including 33% controls and 67% FGR) with changes after hyperoxygenation. The computational model estimated the ratio of PVR before and after maternal hyperoxygenation which was closer to 1 in cluster A (cluster A 0.98 ± 0.33 vs cluster B 0.78 ± 0.28, p = 0.0156). Doppler ultrasound allows the detection of significant changes in pulmonary vasculature in most FGR at baseline, and distinct responses to hyperoxygenation. Future studies are warranted to assess its potential applicability in the clinical management of FGR. |
| first_indexed | 2024-04-24T09:53:16Z |
| format | Article |
| id | doaj.art-652649f1be964065b1638f84c5c21b49 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T09:53:16Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-652649f1be964065b1638f84c5c21b492024-04-14T11:15:29ZengNature PortfolioScientific Reports2045-23222024-03-0114111210.1038/s41598-024-54603-xPulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveformsKilian Vellvé0Patricia Garcia-Canadilla1Mariana Nogueira2Lina Youssef3Angela Arranz4Ayako Nakaki5David Boada6Isabel Blanco7Rosa Faner8Francesc Figueras9Àlvar Agustí10Eduard Gratacós11Francesca Crovetto12Bart Bijnens13Fàtima Crispi14BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaBCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaInstitut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaBCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaBCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaBCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaInstitut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centre for Biomedical Research on Respiratory Diseases (CIBER-ES)BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaInstitut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaBCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaICREABCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of BarcelonaAbstract The aim of this study was to investigate the pulmonary vasculature in baseline conditions and after maternal hyperoxygenation in growth restricted fetuses (FGR). A prospective cohort study of singleton pregnancies including 97 FGR and 111 normally grown fetuses was carried out. Ultrasound Doppler of the pulmonary vessels was obtained at 24–37 weeks of gestation and data were acquired before and after oxygen administration. After, Machine Learning (ML) and a computational model were used on the Doppler waveforms to classify individuals and estimate pulmonary vascular resistance (PVR). Our results showed lower mean velocity time integral (VTI) in the main pulmonary and intrapulmonary arteries in baseline conditions in FGR individuals. Delta changes of the main pulmonary artery VTI and intrapulmonary artery pulsatility index before and after hyperoxygenation were significantly greater in FGR when compared with controls. Also, ML identified two clusters: A (including 66% controls and 34% FGR) with similar Doppler traces over time and B (including 33% controls and 67% FGR) with changes after hyperoxygenation. The computational model estimated the ratio of PVR before and after maternal hyperoxygenation which was closer to 1 in cluster A (cluster A 0.98 ± 0.33 vs cluster B 0.78 ± 0.28, p = 0.0156). Doppler ultrasound allows the detection of significant changes in pulmonary vasculature in most FGR at baseline, and distinct responses to hyperoxygenation. Future studies are warranted to assess its potential applicability in the clinical management of FGR.https://doi.org/10.1038/s41598-024-54603-x |
| spellingShingle | Kilian Vellvé Patricia Garcia-Canadilla Mariana Nogueira Lina Youssef Angela Arranz Ayako Nakaki David Boada Isabel Blanco Rosa Faner Francesc Figueras Àlvar Agustí Eduard Gratacós Francesca Crovetto Bart Bijnens Fàtima Crispi Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms Scientific Reports |
| title | Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms |
| title_full | Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms |
| title_fullStr | Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms |
| title_full_unstemmed | Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms |
| title_short | Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms |
| title_sort | pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal doppler waveforms |
| url | https://doi.org/10.1038/s41598-024-54603-x |
| work_keys_str_mv | AT kilianvellve pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT patriciagarciacanadilla pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT mariananogueira pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT linayoussef pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT angelaarranz pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT ayakonakaki pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT davidboada pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT isabelblanco pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT rosafaner pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT francescfigueras pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT alvaragusti pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT eduardgratacos pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT francescacrovetto pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT bartbijnens pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms AT fatimacrispi pulmonaryvascularreactivityingrowthrestrictedfetusesusingcomputationalmodellingandmachinelearninganalysisoffetaldopplerwaveforms |