Longitudinal Assessment of Cerebral Blood Volume Variation in Human Neonates Using Ultrafast Power Doppler and Diverging Waves

Longitudinal assessment of brain perfusion is a critical parameter for neurodevelopmental outcome of neonates undergoing cardiopulmonary bypass procedure. In this study, we aim to measure the variations of cerebral blood volume (CBV) in human neonates during cardiac surgery, using Ultrafast Power Doppler and freehand scanning. To be clinically relevant, this method must satisfy three criteria: being able to image a wide field of view in the brain, show significant longitudinal CBV variations, and present reproducible results. To address the first point, we performed for the first time transfontanellar Ultrafast Power Doppler using a hand-held phased-array transducer with diverging waves. This increased the field of view more than threefold compared to previous studies using linear transducers and plane waves. We were able to image vessels in the cortical areas as well as the deep grey matter and temporal lobes. Second, we measured the longitudinal variations of CBV on human neonates undergoing cardiopulmonary bypass. When compared to a pre-operative baseline acquisition, the CBV exhibited significant variation during bypass: on average, + 20±3 % in the mid-sagittal full sector ( [Formula: see text]), - 11±3 % in the cortical regions ( [Formula: see text]) and - 10±4 % in the basal ganglia ( [Formula: see text]). Third, a trained operator performing identical scans was able to reproduce CBV estimates with a variability of 4% to 7.5% depending on the regions considered. We also investigated whether vessel segmentation could further improve reproducibility, but found that it actually introduced greater variability in the results. Overall, this study demonstrates the clinical translation of ultrafast power Doppler with diverging-waves and freehand scanning.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:42

Enthalten in:

IEEE transactions on medical imaging - 42(2023), 8 vom: 24. Aug., Seite 2223-2234

Sprache:

Englisch

Beteiligte Personen:

Fakhari, Nikan [VerfasserIn]
Aguet, Julien [VerfasserIn]
Nguyen, Minh [VerfasserIn]
Mertens, Luc [VerfasserIn]
Barron, David [VerfasserIn]
Haller, Christoph [VerfasserIn]
Sled, John G [VerfasserIn]
Villemain, Olivier [VerfasserIn]
Baranger, Jeirome [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 02.08.2023

Date Revised 02.08.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1109/TMI.2023.3246920

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM355323052