1
|
Lavrentev SN, Petrova AS, Serova OF, Vishnyakova P, Kondratev MV, Gryzunova AS, Zakharova NI, Zubkov VV, Silachev DN. Ultrasound Diagnosis and Near-Infrared Spectroscopy in the Study of Encephalopathy in Neonates Born under Asphyxia: Narrative Review. CHILDREN (BASEL, SWITZERLAND) 2024; 11:591. [PMID: 38790586 PMCID: PMC11119551 DOI: 10.3390/children11050591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024]
Abstract
Brain injury resulting from adverse events during pregnancy and delivery is the leading cause of neonatal morbidity and disability. Surviving neonates often suffer long-term motor, sensory, and cognitive impairments. Birth asphyxia is among the most common causes of neonatal encephalopathy. The integration of ultrasound, including Doppler ultrasound, and near-infrared spectroscopy (NIRS) offers a promising approach to understanding the pathology and diagnosis of encephalopathy in this special patient population. Ultrasound diagnosis can be very helpful for the assessment of structural abnormalities associated with neonatal encephalopathy such as alterations in brain structures (intraventricular hemorrhage, infarcts, hydrocephalus, white matter injury) and evaluation of morphologic changes. Doppler sonography is the most valuable method as it provides information about blood flow patterns and outcome prediction. NIRS provides valuable insight into the functional aspects of brain activity by measuring tissue oxygenation and blood flow. The combination of ultrasonography and NIRS may produce complementary information on structural and functional aspects of the brain. This review summarizes the current state of research, discusses advantages and limitations, and explores future directions to improve applicability and efficacy.
Collapse
Affiliation(s)
- Simeon N. Lavrentev
- The State Budgetary Institution, Moscow Regional Perinatal Center, 143912 Balashikha, Russia; (S.N.L.); (A.S.P.); (O.F.S.); (M.V.K.); (A.S.G.)
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
| | - Anastasia S. Petrova
- The State Budgetary Institution, Moscow Regional Perinatal Center, 143912 Balashikha, Russia; (S.N.L.); (A.S.P.); (O.F.S.); (M.V.K.); (A.S.G.)
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
| | - Olga F. Serova
- The State Budgetary Institution, Moscow Regional Perinatal Center, 143912 Balashikha, Russia; (S.N.L.); (A.S.P.); (O.F.S.); (M.V.K.); (A.S.G.)
| | - Polina Vishnyakova
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
- Research Institute of Molecular and Cellular Medicine, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, Russia
| | - Maxim V. Kondratev
- The State Budgetary Institution, Moscow Regional Perinatal Center, 143912 Balashikha, Russia; (S.N.L.); (A.S.P.); (O.F.S.); (M.V.K.); (A.S.G.)
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
| | - Anastasia S. Gryzunova
- The State Budgetary Institution, Moscow Regional Perinatal Center, 143912 Balashikha, Russia; (S.N.L.); (A.S.P.); (O.F.S.); (M.V.K.); (A.S.G.)
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
| | - Nina I. Zakharova
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
| | - Victor V. Zubkov
- Research Clinical Institute of Childhood of the Moscow Region, 115093 Moscow, Russia; (N.I.Z.); (V.V.Z.)
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
| | - Denis N. Silachev
- V.I. Kulakov National Medical Research Center for Obstetrics Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117997 Moscow, Russia;
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
| |
Collapse
|
2
|
Kuhasri A, Jayatilake S, Stevenson G, Beirne G, Welsh A, Schindler T. Evaluation of neonatal cerebral perfusion using three-dimensional power Doppler ultrasound volumes. Acta Paediatr 2022; 111:511-518. [PMID: 34687559 DOI: 10.1111/apa.16163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 11/27/2022]
Abstract
AIM Despite improvement in preterm survival, neurological morbidity remains high. 3D fractional moving blood volume (3D-FMBV) quantifies neonatal cerebral perfusion by calculating a standardised measure of the amount of moving blood in a region of interest and correlates with tissue perfusion in animal studies. However, its feasibility and reproducibility are yet to be assessed in newborn infants. METHODS Fractional moving blood volume analysis was performed on three-dimensional power Doppler ultrasound (PD-US) volumes from a cohort of preterm infants recruited in 2015 from the Royal Hospital for Women Neonatal Intensive Care Unit. The volumes were acquired by two sonographers and analysed by two different observers. The 3D-FMBV algorithm was applied to calculate an estimate for perfusion. Reproducibility and agreement were assessed using intra-class correlation coefficients (ICC) and Bland-Altman plots. RESULTS All 3D PD-US volumes were analysed successfully. Intra-observer reliability was excellent with an ICC of 0.907 (95% CI 0.751-0.968) and 0.906 (95% CI 0.741-0.967) for two independent observers respectively. The inter-observer reliability of the entire technique was good with an ICC of 0.752 (CI: 0.404-0.909). CONCLUSION We have successfully shown the feasibility and reliability of applying the 3D-FMBV technique to the neonatal brain in a healthy preterm population.
Collapse
Affiliation(s)
- Abidev Kuhasri
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
| | - Sonali Jayatilake
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
| | - Gordon Stevenson
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
| | - Gerrie Beirne
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
| | - Alec Welsh
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
- Department of Maternal‐Fetal Medicine Royal Hospital for Women Sydney NSW Australia
| | - Timothy Schindler
- School of Women’s & Children’s Health Faculty of Medicine University of New South Wales Sydney NSW Australia
- Department of Neonatology Royal Hospital for Women Sydney NSW Australia
| |
Collapse
|
3
|
Issa E, Stevenson GN, Gomes De Melo Tavares Ferreira AE, Chang MHY, Alphonse J, Welsh AW. The Influence of Hyperoxygenation on Fetal Brain Vascularity Measured Using 3D Power Doppler Ultrasound and the Index "Fractional Moving Blood Volume". Fetal Diagn Ther 2021; 48:651-659. [PMID: 34710879 DOI: 10.1159/000517727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 06/08/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Maternal hyperoxygenation effects on fetal cerebral hemodynamics are largely unknown. This study aimed to determine efficacy and reliability of a validated power Doppler ultrasound (US) index, fractional moving blood volume (FMBV), at measuring fetal cerebral vasculature changes during maternal hyperoxia. METHODS The fetal cerebral effects of 10 min of hyperoxygenation at 2 flow rates (52%/60% FiO2) were evaluated in women in their third trimester of pregnancy. 2D-US and 3D-US in a transverse plane were performed before, during, and following maternal hyperoxygenation with FMBV estimation performed offline. RESULTS Forty-five cases provided data for analysis. Mean intraobserver ICCs were 0.89 (3D-FMBV) and 0.84 (2D-FMBV). A significant difference in vascularity before and during and before and after 60% hyperoxia was observed (p < 0.05), whereas no significant differences were found at 52% hyperoxia (p > 0.05). Significant differences in vascularity were found between 2D-FMBV and 3D-FMBV (p < 0.01). CONCLUSION Measurement of fetal cerebral vascularity by 3D-FMBV and 2D-FMBV was highly reproducible. The differing cerebral vascular changes seen with 60% but not 52% FiO2 suggest a possible "threshold effect" that may have influenced prior studies. Further studies are needed to assess cerebral effects of maternal hyperoxygenation on compromised fetuses.
Collapse
Affiliation(s)
- Evitta Issa
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia
| | - Gordon Niall Stevenson
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia
| | | | - Melissa Han Yiin Chang
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia
| | - Jennifer Alphonse
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia
| | - Alec William Welsh
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia.,Department of Maternal-Fetal Medicine, Royal Hospital for Women, Randwick, New South Wales, Australia
| |
Collapse
|
4
|
Baranger J, Villemain O, Wagner M, Vargas-Gutierrez M, Seed M, Baud O, Ertl-Wagner B, Aguet J. Brain perfusion imaging in neonates. NEUROIMAGE-CLINICAL 2021; 31:102756. [PMID: 34298475 PMCID: PMC8319803 DOI: 10.1016/j.nicl.2021.102756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 06/21/2021] [Accepted: 07/03/2021] [Indexed: 02/07/2023]
Abstract
MRI is the modality of choice to image and quantify cerebral perfusion. Imaging of neonatal brain perfusion is possible using MRI and ultrasound. Novel ultrafast ultrasound imaging allows for excellent spatiotemporal resolution. Understanding cerebral hemodynamic changes of neonatal adaptation is key.
Abnormal variations of the neonatal brain perfusion can result in long-term neurodevelopmental consequences and cerebral perfusion imaging can play an important role in diagnostic and therapeutic decision-making. To identify at-risk situations, perfusion imaging of the neonatal brain must accurately evaluate both regional and global perfusion. To date, neonatal cerebral perfusion assessment remains challenging. The available modalities such as magnetic resonance imaging (MRI), ultrasound imaging, computed tomography (CT), near-infrared spectroscopy or nuclear imaging have multiple compromises and limitations. Several promising methods are being developed to achieve better diagnostic accuracy and higher robustness, in particular using advanced MRI and ultrasound techniques. The objective of this state-of-the-art review is to analyze the methodology and challenges of neonatal brain perfusion imaging, to describe the currently available modalities, and to outline future perspectives.
Collapse
Affiliation(s)
- Jérôme Baranger
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada
| | - Olivier Villemain
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Matthias Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, Canada
| | | | - Mike Seed
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada; Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
| | - Olivier Baud
- Division of Neonatology and Pediatric Intensive Care, Children's University Hospital of Geneva and University of Geneva, Geneva, Switzerland
| | - Birgit Ertl-Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, Canada
| | - Julien Aguet
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada.
| |
Collapse
|
5
|
Yadav BK, Hernandez-Andrade E, Krishnamurthy U, Buch S, Jella P, Trifan A, Yeo L, Hassan SS, Haacke EM, Romero R, Neelavalli J. Dual-Imaging Modality Approach to Evaluate Cerebral Hemodynamics in Growth-Restricted Fetuses: Oxygenation and Perfusion. Fetal Diagn Ther 2019; 47:145-155. [PMID: 31434069 PMCID: PMC10853988 DOI: 10.1159/000500954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/14/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To evaluate a dual-imaging modality approach to obtain a combined estimation of venous blood oxygenation (SνO2) using susceptibility-weighted magnetic resonance imaging (SWI-MRI), and blood perfusion using power Dopp-ler ultrasound (PDU) and fractional moving blood volume (FMBV) in the brain of normal growth and growth-restricted fetuses. METHODS Normal growth (n = 33) and growth-restricted fetuses (n = 10) from singleton pregnancies between 20 and 40 weeks of gestation were evaluated. MRI was performed and SνO2 was calculated using SWI-MRI data obtained in the straight section of the superior sagittal sinus. Blood perfusion was estimated using PDU and FMBV from the frontal lobe in a mid-sagittal plane of the fetal brain. The association between fetal brain SνO2 and FMBV, and the distribution of SνO2 and FMBV values across gestation were calculated for both groups. RESULTS In growth-restricted fetuses, the brain SνO2 values were similar, and the FMBV values were higher across gestation as compared to normal growth fetuses. There was a significantly positive association between SνO2 and FMBV values (slope = 0.38 ± 0.12; r = 0.7; p = 0.02) in growth-restricted fetuses. In normal growth fetuses, SνO2 showed a mild decreasing trend (slope = -0.7 ± 0.4; p = 0.1), whereas FMBV showed a mild increasing trend (slope = 0.2 ± 0.2; p = 0.2) with advancing gestation, and a mild but significant negative association (slope = -0.78 ± 0.3; r = -0.4; p = 0.04) between these two estimates. CONCLUSION Combined MRI (SWI) and ultrasound (FMBV) techniques showed a significant association between cerebral blood oxygenation and blood perfusion in normal growth and growth-restricted fetuses. This dual-imaging approach could contribute to the early detection of fetal "brain sparing" and brain oxygen saturation changes in high-risk pregnancies.
Collapse
Affiliation(s)
- Brijesh Kumar Yadav
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, USA
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, Maryland, and Detroit, Michigan, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Uday Krishnamurthy
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, USA
| | - Sagar Buch
- The MRI Institute for Biomedical Research, Waterloo, ON, Canada
| | - Pavan Jella
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Anabela Trifan
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Lami Yeo
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, Maryland, and Detroit, Michigan, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Sonia S. Hassan
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, Maryland, and Detroit, Michigan, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - E. Mark Haacke
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, USA
| | - Roberto Romero
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, Maryland, and Detroit, Michigan, USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
| | - Jaladhar Neelavalli
- Department of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Philips Innovation Campus, Philips India Ltd., Bengaluru, India
| |
Collapse
|
6
|
Schindler T, Gilbert Y, Jayatilake S, Stevenson G, Oei JL, Welsh A. Basal ganglia perfusion in the preterm infant during transition. Pediatr Res 2016; 80:573-6. [PMID: 27304098 DOI: 10.1038/pr.2016.106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 03/03/2016] [Indexed: 11/09/2022]
Abstract
BACKGROUND The preterm brain is susceptible to changes in blood flow. Using power Doppler images, digital imaging techniques have been developed to measure the total amount of blood flow in a defined area, giving the index: fractional moving blood volume (FMBV). The aim of this study was to investigate temporal changes in basal ganglia perfusion during the transitional period after birth. METHODS Twenty-four preterm infants were examined with serial cranial ultrasounds at four time points during the first 48 h of life. FMBV was calculated using power Doppler images at each time point. RESULTS All infants had analyzable data and FMBV was successfully calculated at all time points. Twenty-three of the 24 infants had an increasing trend in FMBV over time. The median FMBV increased from 17% at 6 h to 25% at 48 h. One-way repeated measures ANOVA showed a significant increase in values at P < 0.001 at each of the four time points. CONCLUSION We have demonstrated changes in basal ganglia blood flow as the cerebral circulation adapts to extrauterine life. With further investigation, this technique may be useful in the assessment of preterm circulatory adaptation, either alone or in conjunction with other modes of evaluating cerebral blood flow.
Collapse
Affiliation(s)
- Tim Schindler
- Faculty of Medicine, University of New South Wales, Sydney, Australia.,Department of Newborn Care, Royal Hospital for Women, Sydney, Australia
| | - Yasmin Gilbert
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Sonali Jayatilake
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Gordon Stevenson
- Department of Engineering Science, University of Oxford, Oxford, England
| | - Ju Lee Oei
- Faculty of Medicine, University of New South Wales, Sydney, Australia.,Department of Newborn Care, Royal Hospital for Women, Sydney, Australia
| | - Alec Welsh
- Faculty of Medicine, University of New South Wales, Sydney, Australia.,Department of Maternal-Fetal Medicine, Royal Hospital for Women, Sydney, Australia
| |
Collapse
|
7
|
Schindler T, Gilbert Y, Wu L, Oei JL, Welsh A. Spatiotemporal Image Correlation and Volumetric Impedance Indices in the Neonatal Brain: Proof of Concept and Preliminary Reproducibility. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2016; 35:505-510. [PMID: 26860484 DOI: 10.7863/ultra.15.05022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 06/22/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Changes in tissue perfusion can be critically important in the vulnerable neonate, but they are very difficult to assess at the bedside. Spatiotemporal image correlation (STIC) sonography is an exciting concept that allows assessment of blood flow by rearranging and merging multiple 2-dimensional color images to create serial 3-dimensional images showing regional blood flow throughout the cardiac cycle. Variations in tissue blood flow may reflect tissue impedance and perfusion. The aim of this study was to demonstrate that it is possible to use STIC images to evaluate tissue impedance in the neonatal brain. METHODS Spatiotemporal image correlation data sets were acquired by cranial sonography in 19 neonates. Offline data analysis was performed by using virtual organ computer-aided analysis. With the use of STIC images from different phases of the cardiac cycle, impedance indices were calculated, based on maximum (systolic), minimum (diastolic), and mean virtual organ computer-aided analysis values, in the same way that resistive indices are calculated in 2-dimensional sonography. RESULTS Volumetric indices for tissue impedance were obtained for all neonates. Intraclass correlation coefficients (95% confidence intervals) for volumetric impedance indices were as follows: systolic/diastolic ratio, 0.793 (0.615-0.906); pulsatility index, 0.790 (0.609-0.905); and resistive index, 0.783 (0.598-0.901). Interclass correlation coefficients for image processing and analysis were as follows: systolic/diastolic ratio, 0.868 (0.692-0.947); pulsatility index, 0.904 (0.772-0.962); and resistive index, 0.914 (0.794-0.966). CONCLUSIONS This study shows that STIC data sets can be used to calculate volumetric impedance indices in the neonatal brain. Preliminary assessment shows that this technique appears reliable and allows evaluation of regional tissue impedance in the neonate.
Collapse
Affiliation(s)
- Tim Schindler
- Departments of Newborn Care (T.S., J.L.O.) and Maternal-Fetal Medicine (A.W.), Royal Hospital for Women, Randwick, New South Wales, Australia; and Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia (T.S., Y.G., L.W., J.L.O., A.W.)
| | - Yasmin Gilbert
- Departments of Newborn Care (T.S., J.L.O.) and Maternal-Fetal Medicine (A.W.), Royal Hospital for Women, Randwick, New South Wales, Australia; and Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia (T.S., Y.G., L.W., J.L.O., A.W.)
| | - Linda Wu
- Departments of Newborn Care (T.S., J.L.O.) and Maternal-Fetal Medicine (A.W.), Royal Hospital for Women, Randwick, New South Wales, Australia; and Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia (T.S., Y.G., L.W., J.L.O., A.W.)
| | - Ju Lee Oei
- Departments of Newborn Care (T.S., J.L.O.) and Maternal-Fetal Medicine (A.W.), Royal Hospital for Women, Randwick, New South Wales, Australia; and Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia (T.S., Y.G., L.W., J.L.O., A.W.)
| | - Alec Welsh
- Departments of Newborn Care (T.S., J.L.O.) and Maternal-Fetal Medicine (A.W.), Royal Hospital for Women, Randwick, New South Wales, Australia; and Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia (T.S., Y.G., L.W., J.L.O., A.W.)
| |
Collapse
|
8
|
Schindler T, Stevenson G, Jayatilake S, Gilbert Y, Oei JL, Welsh A. Reference Ranges for Neonatal Basal Ganglia Perfusion as Measured by Fractional Moving Blood Volume. Neonatology 2016; 109:91-6. [PMID: 26583917 DOI: 10.1159/000441466] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 10/02/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND Regional changes in cerebral blood flow and perfusion are implicated in the pathogenesis of adverse neurological events that lead to death and severe disability in the newborn infant. The basal ganglia, in particular, are extremely sensitive to acute hypoxia in the perinatal period, but normal perfusion to this area is unknown. OBJECTIVES To establish a reference range for regional basal ganglia perfusion using fractional moving blood volume (FMBV) as an index. METHODS Head ultrasounds were performed on neonates from 25 to 41 weeks' gestation. Power Doppler images were obtained from a pre-specified coronal plane. FMBV was calculated offline after selecting the basal ganglia as a region of interest. The average of five calculations was considered to be representative of the regional perfusion for each neonate. The data were analysed, and a neonatal reference range was defined. RESULTS 124 neonates were included in the study, and all had analysable data. The mean FMBV was 28.8% (±9.6) with a reference range defined as 10-48%. The mean FMBV for neonates <32 weeks', 32-35 weeks' and >35 weeks' gestation were 29.4% (±7.8), 29.2% (±11.0) and 27.4% (±9.7), respectively. Analysis of variance showed no significant difference between neonates based on gestation. CONCLUSIONS We have successfully used the index FMBV to define a reference range for perfusion in the basal ganglia. These data can be used as a reference for subsequent studies that evaluate basal ganglia perfusion in pathological conditions.
Collapse
Affiliation(s)
- Timothy Schindler
- Faculty of Medicine, University of New South Wales, Sydney, N.S.W., Australia
| | | | | | | | | | | |
Collapse
|
9
|
Orman G, Benson JE, Kweldam CF, Bosemani T, Tekes A, de Jong MR, Seyfert D, Northington FJ, Poretti A, Huisman TAGM. Neonatal Head Ultrasonography Today: A Powerful Imaging Tool! J Neuroimaging 2014; 25:31-55. [DOI: 10.1111/jon.12108] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Revised: 09/06/2013] [Accepted: 09/15/2013] [Indexed: 11/27/2022] Open
Affiliation(s)
- Gunes Orman
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Jane E. Benson
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Charlotte F. Kweldam
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Thangamadhan Bosemani
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- Neurosciences Intensive Care Nursery Program; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Aylin Tekes
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- Neurosciences Intensive Care Nursery Program; The Johns Hopkins University School of Medicine; Baltimore MD
| | - M. Robert de Jong
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Donna Seyfert
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Frances J. Northington
- Neurosciences Intensive Care Nursery Program; The Johns Hopkins University School of Medicine; Baltimore MD
- Division of Neonatology; Department of Pediatrics; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Andrea Poretti
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- Neurosciences Intensive Care Nursery Program; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Thierry A. G. M. Huisman
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- Neurosciences Intensive Care Nursery Program; The Johns Hopkins University School of Medicine; Baltimore MD
| |
Collapse
|