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Leth-Olsen M, Døhlen G, Torp H, Nyrnes SA. Instant Detection of Cerebral Blood Flow Changes in Infants with Congenital Heart Disease during Transcatheter Interventions. J Clin Med 2024; 13:3115. [PMID: 38892827 PMCID: PMC11172647 DOI: 10.3390/jcm13113115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Transcatheter interventions are increasingly used in children with congenital heart disease. However, these interventions can affect cardiac output and cerebral circulation. In this pilot study, we aimed to investigate the use of NeoDoppler, a continuous transfontanellar cerebral Doppler monitoring system, to evaluate the impact of transcatheter interventions on cerebral circulation. Methods: Nineteen participants under one year of age (mean age 3.5 months) undergoing transcatheter cardiac interventions were prospectively included. Transfontanellar cerebral Doppler monitoring with the NeoDoppler system was initiated after intubation and continued until the end of the procedure. Results: Instant detection of changes in cerebral blood flow were observed across a spectrum of transcatheter interventions. Balloon aortic valvuloplasty demonstrated temporary cessation of cerebral blood flow during balloon inflation. Increase in cerebral diastolic blood flow velocity and decreased pulsatility were observed during patent ductus arteriosus occlusion. Changes in cerebral blood flow patterns were detected in two patients who encountered complications during their transcatheter interventions. There was no significant change in Doppler parameters before and after the interventions for the entire patient group. High quality recordings were achieved in 87.3% of the monitoring period. Conclusions: Continuous transfontanellar cerebral Doppler is feasible in monitoring cerebral hemodynamic trends and shows instantaneous changes associated with interventions and complications. It could become a useful monitoring tool during transcatheter interventions in infants.
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Affiliation(s)
- Martin Leth-Olsen
- Department of Circulation and Medical Imaging (ISB), Faculty of Medicine and Health Sciences, NTNU—Norwegian University of Science and Technology, 7030 Trondheim, Norway (S.A.N.)
- Children’s Clinic, St Olav’s University Hospital, 7030 Trondheim, Norway
| | - Gaute Døhlen
- Department of Pediatric Cardiology, Oslo University Hospital, 0372 Oslo, Norway
| | - Hans Torp
- Department of Circulation and Medical Imaging (ISB), Faculty of Medicine and Health Sciences, NTNU—Norwegian University of Science and Technology, 7030 Trondheim, Norway (S.A.N.)
| | - Siri Ann Nyrnes
- Department of Circulation and Medical Imaging (ISB), Faculty of Medicine and Health Sciences, NTNU—Norwegian University of Science and Technology, 7030 Trondheim, Norway (S.A.N.)
- Children’s Clinic, St Olav’s University Hospital, 7030 Trondheim, Norway
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Kortenbout AJ, Costerus S, Dudink J, de Jong N, de Graaff JC, Vos HJ, Bosch JG. Automatic Max-Likelihood Envelope Detection Algorithm for Quantitative High-Frame-Rate Ultrasound for Neonatal Brain Monitoring. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:434-444. [PMID: 38143187 DOI: 10.1016/j.ultrasmedbio.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 11/07/2023] [Accepted: 12/03/2023] [Indexed: 12/26/2023]
Abstract
OBJECTIVE Post-operative brain injury in neonates may result from disturbed cerebral perfusion, but accurate peri-operative monitoring is lacking. High-frame-rate (HFR) cerebral ultrasound could visualize and quantify flow in all detectable vessels using spectral Doppler; however, automated quantification in small vessels is challenging because of low signal amplitude. We have developed an automatic envelope detection algorithm for HFR pulsed wave spectral Doppler signals, enabling neonatal brain quantitative parameter maps during and after surgery. METHODS HFR ultrasound data from high-risk neonatal surgeries were recorded with a custom HFR mode (frame rate = 1000 Hz) on a Zonare ZS3 system. A pulsed wave Doppler spectrogram was calculated for each pixel containing blood flow in the image, and spectral peak velocity was tracked using a max-likelihood estimation algorithm of signal and noise regions in the spectrogram, where the most likely cross-over point marks the blood flow velocity. The resulting peak systolic velocity (PSV), end-diastolic velocity (EDV) and resistivity index (RI) were compared with other detection schemes, manual tracking and RIs from regular pulsed wave Doppler measurements in 10 neonates. RESULTS Envelope detection was successful in both high- and low-quality arterial and venous flow spectrograms. Our technique had the lowest root mean square error for EDV, PSV and RI (0.46 cm/s, 0.53 cm/s and 0.15, respectively) when compared with manual tracking. There was good agreement between the clinical pulsed wave Doppler RI and HFR measurement with a mean difference of 0.07. CONCLUSION The max-likelihood algorithm is a promising approach to accurate, automated cerebral blood flow monitoring with HFR imaging in neonates.
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Affiliation(s)
- Anna J Kortenbout
- Biomedical Engineering, Department of Cardiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Sophie Costerus
- Department of Pediatric Surgery, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nico de Jong
- Biomedical Engineering, Department of Cardiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Imaging Physics, Medical Imaging, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Jurgen C de Graaff
- Department of Anesthesiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Anesthesiology, Erasmus MC, Goes, The Netherlands; Department of Anesthesiology, Weill Cornell Medicine, New York, NY, USA
| | - Hendrik J Vos
- Biomedical Engineering, Department of Cardiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands; Department of Imaging Physics, Medical Imaging, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Johan G Bosch
- Biomedical Engineering, Department of Cardiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands.
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Tupprasoot R, Blaise BJ. Continuous cerebral blood flow monitoring: What should we do with these extra numbers? BJA OPEN 2023; 7:100148. [PMID: 37638084 PMCID: PMC10457465 DOI: 10.1016/j.bjao.2023.100148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 05/24/2023] [Indexed: 08/29/2023]
Abstract
NeoDoppler is a noninvasive monitoring device that can be attached to a patient's head to provide real-time continuous cerebral Doppler evaluation. A feasibility study shows that it can be used in operating theatres during anaesthesia to potentially guide haemodynamic management. We discuss the impact of this new device and which further research would be necessary to find its role in clinical practice.
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Affiliation(s)
- Raksa Tupprasoot
- Department of Paediatric Anaesthetics, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Benjamin J. Blaise
- Department of Paediatric Anaesthetics, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK
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