Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant
Objectives: The aim of this study is to explore if manually segmented total brain volume (TBV) from 3D ultrasonography (US) is comparable to TBV estimated by magnetic resonance imaging (MRI). We then wanted to test 2D based TBV estimation obtained through three linear axes which would enable monitor...
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Frontiers Media S.A.
2021-07-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fped.2021.708396/full |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Isabel Benavente-Fernández Isabel Benavente-Fernández Isabel Benavente-Fernández Estefanía Ruiz-González Manuel Lubian-Gutiérrez Simón Pedro Lubián-Fernández Yunior Cabrales Fontela Cristina Roca-Cornejo Pedro Olmo-Duran Simón Pedro Lubián-López Simón Pedro Lubián-López Simón Pedro Lubián-López |
spellingShingle |
Isabel Benavente-Fernández Isabel Benavente-Fernández Isabel Benavente-Fernández Estefanía Ruiz-González Manuel Lubian-Gutiérrez Simón Pedro Lubián-Fernández Yunior Cabrales Fontela Cristina Roca-Cornejo Pedro Olmo-Duran Simón Pedro Lubián-López Simón Pedro Lubián-López Simón Pedro Lubián-López Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant Frontiers in Pediatrics 3D ultrasonography preterm infant lineal measure brain volume magnetic resonance imaging |
author_facet |
Isabel Benavente-Fernández Isabel Benavente-Fernández Isabel Benavente-Fernández Estefanía Ruiz-González Manuel Lubian-Gutiérrez Simón Pedro Lubián-Fernández Yunior Cabrales Fontela Cristina Roca-Cornejo Pedro Olmo-Duran Simón Pedro Lubián-López Simón Pedro Lubián-López Simón Pedro Lubián-López |
author_sort |
Isabel Benavente-Fernández |
title |
Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant |
title_short |
Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant |
title_full |
Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant |
title_fullStr |
Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant |
title_full_unstemmed |
Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant |
title_sort |
ultrasonographic estimation of total brain volume: 3d reliability and 2d estimation. enabling routine estimation during nicu admission in the preterm infant |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Pediatrics |
issn |
2296-2360 |
publishDate |
2021-07-01 |
description |
Objectives: The aim of this study is to explore if manually segmented total brain volume (TBV) from 3D ultrasonography (US) is comparable to TBV estimated by magnetic resonance imaging (MRI). We then wanted to test 2D based TBV estimation obtained through three linear axes which would enable monitoring brain growth in the preterm infant during admission.Methods: We included very low birth weight preterm infants admitted to our neonatal intensive care unit (NICU) with normal neuroimaging findings. We measured biparietal diameter, anteroposterior axis, vertical axis from US and MRI and TBV from both MRI and 3D US. We calculated intra- and interobserver agreement within and between techniques using the intraclass correlation coefficient and Bland-Altman methodology. We then developed a multilevel prediction model of TBV based on linear measurements from both US and MRI, compared them and explored how they changed with increasing age. The multilevel prediction model for TBV from linear measures was tested for internal and external validity and we developed a reference table for ease of prediction of TBV.Results: We used measurements obtained from 426 US and 93 MRI scans from 118 patients. We found good intra- and interobserver agreement for all the measurements. US measurements were reliable when compared to MRI, including TBV which achieved excellent agreement with that of MRI [ICC of 0.98 (95% CI 0.96–0.99)]. TBV estimated through 2D measurements of biparietal diameter, anteroposterior axis, and vertical axis was comparable among both techniques. We estimated the population 95% confidence interval for the mean values of biparietal diameter, anteroposterior axis, vertical axis, and total brain volume by post-menstrual age. A TBV prediction table based on the three axes is proposed to enable easy implementation of TBV estimation in routine 2D US during admission in the NICU.Conclusions: US measurements of biparietal diameter, vertical axis, and anteroposterior axis are reliable. TBV segmented through 3D US is comparable to MRI estimated TBV. 2D US accurate estimation of TBV is possible through biparietal diameter, vertical, and anteroposterior axes. |
topic |
3D ultrasonography preterm infant lineal measure brain volume magnetic resonance imaging |
url |
https://www.frontiersin.org/articles/10.3389/fped.2021.708396/full |
work_keys_str_mv |
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doaj-22fc35ae46d8453fa60f7088e173770b2021-07-22T10:08:04ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602021-07-01910.3389/fped.2021.708396708396Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm InfantIsabel Benavente-Fernández0Isabel Benavente-Fernández1Isabel Benavente-Fernández2Estefanía Ruiz-González3Manuel Lubian-Gutiérrez4Simón Pedro Lubián-Fernández5Yunior Cabrales Fontela6Cristina Roca-Cornejo7Pedro Olmo-Duran8Simón Pedro Lubián-López9Simón Pedro Lubián-López10Simón Pedro Lubián-López11Division of Neonatology, Department of Paediatrics, Puerta del Mar University Hospital, Cádiz, SpainBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University, Cádiz, SpainArea of Paediatrics, Department of Child and Mother Health and Radiology, Medical School, University of Cádiz, Cádiz, SpainDivision of Neonatology, Department of Paediatrics, Puerta del Mar University Hospital, Cádiz, SpainDepartment of Paediatrics, Puerta del Mar University Hospital, Cádiz, SpainArea of Paediatrics, Department of Child and Mother Health and Radiology, Medical School, University of Cádiz, Cádiz, SpainBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University, Cádiz, SpainArea of Paediatrics, Department of Child and Mother Health and Radiology, Medical School, University of Cádiz, Cádiz, SpainArea of Paediatrics, Department of Child and Mother Health and Radiology, Medical School, University of Cádiz, Cádiz, SpainDivision of Neonatology, Department of Paediatrics, Puerta del Mar University Hospital, Cádiz, SpainBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University, Cádiz, SpainArea of Paediatrics, Department of Child and Mother Health and Radiology, Medical School, University of Cádiz, Cádiz, SpainObjectives: The aim of this study is to explore if manually segmented total brain volume (TBV) from 3D ultrasonography (US) is comparable to TBV estimated by magnetic resonance imaging (MRI). We then wanted to test 2D based TBV estimation obtained through three linear axes which would enable monitoring brain growth in the preterm infant during admission.Methods: We included very low birth weight preterm infants admitted to our neonatal intensive care unit (NICU) with normal neuroimaging findings. We measured biparietal diameter, anteroposterior axis, vertical axis from US and MRI and TBV from both MRI and 3D US. We calculated intra- and interobserver agreement within and between techniques using the intraclass correlation coefficient and Bland-Altman methodology. We then developed a multilevel prediction model of TBV based on linear measurements from both US and MRI, compared them and explored how they changed with increasing age. The multilevel prediction model for TBV from linear measures was tested for internal and external validity and we developed a reference table for ease of prediction of TBV.Results: We used measurements obtained from 426 US and 93 MRI scans from 118 patients. We found good intra- and interobserver agreement for all the measurements. US measurements were reliable when compared to MRI, including TBV which achieved excellent agreement with that of MRI [ICC of 0.98 (95% CI 0.96–0.99)]. TBV estimated through 2D measurements of biparietal diameter, anteroposterior axis, and vertical axis was comparable among both techniques. We estimated the population 95% confidence interval for the mean values of biparietal diameter, anteroposterior axis, vertical axis, and total brain volume by post-menstrual age. A TBV prediction table based on the three axes is proposed to enable easy implementation of TBV estimation in routine 2D US during admission in the NICU.Conclusions: US measurements of biparietal diameter, vertical axis, and anteroposterior axis are reliable. TBV segmented through 3D US is comparable to MRI estimated TBV. 2D US accurate estimation of TBV is possible through biparietal diameter, vertical, and anteroposterior axes.https://www.frontiersin.org/articles/10.3389/fped.2021.708396/full3D ultrasonographypreterm infantlineal measurebrain volumemagnetic resonance imaging |