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Enregistrement W3158427490 · doi:10.1016/j.ebiom.2021.103326

Wave reflections in the umbilical artery measured by Doppler ultrasound as a novel predictor of placental pathology

2021· article· en· W3158427490 sur OpenAlexafffund
Lindsay S. Cahill, Greg Stortz, Anjana Chandran, Natasha Milligan, Shiri Shinar, Clare Whitehead, Sebastian R. Hobson, Viji Ayyathurai, Anum Rahman, Rojan Saghian, Karl J. Jobst, Cyrethia McShane, Dana Block‐Abraham, Viola Seravalli, Melissa Laurie, S. Millard, C. Delp, Denise Wolfson, Ahmet Baschat, Kellie E. Murphy, Lena Serghides, Eric Morgen, Christopher K. Macgowan, W. Tony Parks, John‏ Kingdom, John G. Sled

Notice bibliographique

RevueEBioMedicine · 2021
Typearticle
Langueen
DomaineMedicine
ThématiquePregnancy and preeclampsia studies
Établissements canadiensWomen's College HospitalToronto General HospitalUniversity Health NetworkUniversity of TorontoMount Sinai HospitalHospital for Sick ChildrenMemorial University of Newfoundland
Organismes subventionnairesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentCanadian Institutes of Health Research
Mots-clésUmbilical arteryMedicinePlacentaSingle umbilical arteryUltrasoundDoppler effectObstetricsFetusCardiologyPathologyPregnancyInternal medicineRadiologyBiology

Résumé

récupéré en direct d'OpenAlex

BackgroundThe umbilical artery (UA) Doppler pulsatility index is used clinically to detect elevated feto-placental vascular resistance. However, this metric is confounded by variation in fetal cardiac function and is only moderately predictive of placental pathology. Our group developed a novel ultrasound methodology that measures wave reflections in the UA, thereby isolating a component of the Doppler signal that is specific to the placenta. The present study examined whether wave reflections in the UA are predictive of placental vascular pathology.MethodsStandard clinical Doppler ultrasound of the UAs was performed in 241 pregnant women. Of these, 40 women met narrowly defined preset criteria for the control group, 36 had maternal vascular malperfusion (MVM) and 16 had fetal vascular malperfusion (FVM). Using a computational procedure, the Doppler waveforms were decomposed into a pair of forward and backward propagating waves.FindingsCompared to controls, wave reflections were significantly elevated in women with either MVM (p<0.0001) or FVM pathology (p = 0.02). In contrast, the umbilical and uterine artery pulsatility indices were only elevated in the MVM group (p<0.0001) and there were no differences between women with FVM and the controls.InterpretationThe measurement of wave reflections in the UA, combined with standard clinical ultrasound parameters, has the potential to improve the diagnostic performance of UA Doppler to detect placental vascular pathology. Identifying women with FVM pathology is particularly challenging prenatally and future investigations will determine if women at risk of this specific placental disease could benefit from this novel diagnostic technique. The umbilical artery (UA) Doppler pulsatility index is used clinically to detect elevated feto-placental vascular resistance. However, this metric is confounded by variation in fetal cardiac function and is only moderately predictive of placental pathology. Our group developed a novel ultrasound methodology that measures wave reflections in the UA, thereby isolating a component of the Doppler signal that is specific to the placenta. The present study examined whether wave reflections in the UA are predictive of placental vascular pathology. Standard clinical Doppler ultrasound of the UAs was performed in 241 pregnant women. Of these, 40 women met narrowly defined preset criteria for the control group, 36 had maternal vascular malperfusion (MVM) and 16 had fetal vascular malperfusion (FVM). Using a computational procedure, the Doppler waveforms were decomposed into a pair of forward and backward propagating waves. Compared to controls, wave reflections were significantly elevated in women with either MVM (p<0.0001) or FVM pathology (p = 0.02). In contrast, the umbilical and uterine artery pulsatility indices were only elevated in the MVM group (p<0.0001) and there were no differences between women with FVM and the controls. The measurement of wave reflections in the UA, combined with standard clinical ultrasound parameters, has the potential to improve the diagnostic performance of UA Doppler to detect placental vascular pathology. Identifying women with FVM pathology is particularly challenging prenatally and future investigations will determine if women at risk of this specific placental disease could benefit from this novel diagnostic technique. Research in Context Evidence before this studyPlacental vascular pathology is a causal factor in a large proportion of pregnancy complications. A key component of fetal health assessment is measurement of the pulsatility of the umbilical artery blood velocity waveforms using Doppler ultrasound, an indirect measurement of feto-placental vascular resistance. However, the umbilical artery pulsatility index is confounded by physiological variables such as the fetal heart rate and is only moderately predictive of placental pathology. We have developed a novel ultrasound methodology called wave reflection analysis that isolates the portion of the pulsation that is specific to the placenta. In healthy pregnancies, we have shown the pulsation of the umbilical artery waveform is explained by the presence of wave reflections. Added value of this studyIn this study, we recruited 241 pregnant women for wave reflection analysis using standard obstetric ultrasound equipment and placental pathology assessment. We demonstrated that wave reflections in the umbilical artery are significantly elevated in women with maternal and fetal vascular placental pathology compared to healthy controls. Implications of all the available evidenceThese findings have the potential to extend the utility of umbilical artery Doppler to improve diagnosis of placental pathologies. This is particularly promising for fetal vascular malperfusion where there is currently no reliable method of detection prenatally. Wave reflections arise from transitions in biomechanical properties of blood vessels, and finding strong reflections in pathologic pregnancies provides a mechanistic link between abnormal Doppler waveforms and vascular pathology. Placental vascular pathology is a causal factor in a large proportion of pregnancy complications. A key component of fetal health assessment is measurement of the pulsatility of the umbilical artery blood velocity waveforms using Doppler ultrasound, an indirect measurement of feto-placental vascular resistance. However, the umbilical artery pulsatility index is confounded by physiological variables such as the fetal heart rate and is only moderately predictive of placental pathology. We have developed a novel ultrasound methodology called wave reflection analysis that isolates the portion of the pulsation that is specific to the placenta. In healthy pregnancies, we have shown the pulsation of the umbilical artery waveform is explained by the presence of wave reflections. In this study, we recruited 241 pregnant women for wave reflection analysis using standard obstetric ultrasound equipment and placental pathology assessment. We demonstrated that wave reflections in the umbilical artery are significantly elevated in women with maternal and fetal vascular placental pathology compared to healthy controls. These findings have the potential to extend the utility of umbilical artery Doppler to improve diagnosis of placental pathologies. This is particularly promising for fetal vascular malperfusion where there is currently no reliable method of detection prenatally. Wave reflections arise from transitions in biomechanical properties of blood vessels, and finding strong reflections in pathologic pregnancies provides a mechanistic link between abnormal Doppler waveforms and vascular pathology.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,305
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations31
Publié2021
Routes d'admission2
Résumé présentoui

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