Ultrasound lineal measurements predict ventricular volume in posthaemorrhagic ventricular dilatation in preterm infants

2016 ◽  
Vol 106 (2) ◽  
pp. 211-217 ◽  
Author(s):  
Isabel Benavente‐Fernandez ◽  
Manuel Lubián‐Gutierrez ◽  
Gema Jimenez‐Gomez ◽  
Alfonso M. Lechuga‐Sancho ◽  
Simon P. Lubián‐López ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lionel C. Gontard ◽  
Joaquín Pizarro ◽  
Borja Sanz-Peña ◽  
Simón P. Lubián López ◽  
Isabel Benavente-Fernández

AbstractTo train, evaluate, and validate the application of a deep learning framework in three-dimensional ultrasound (3D US) for the automatic segmentation of ventricular volume in preterm infants with post haemorrhagic ventricular dilatation (PHVD). We trained a 2D convolutional neural network (CNN) for automatic segmentation ventricular volume from 3D US of preterm infants with PHVD. The method was validated with the Dice similarity coefficient (DSC) and the intra-class coefficient (ICC) compared to manual segmentation. The mean birth weight of the included patients was 1233.1 g (SD 309.4) and mean gestational age was 28.1 weeks (SD 1.6). A total of 152 serial 3D US from 10 preterm infants with PHVD were analysed. 230 ventricles were manually segmented. Of these, 108 were used for training a 2D CNN and 122 for validating the methodology for automatic segmentation. The global agreement for manual versus automated measures in the validation data (n = 122) was excellent with an ICC of 0.944 (0.874–0.971). The Dice similarity coefficient was 0.8 (± 0.01). 3D US based ventricular volume estimation through an automatic segmentation software developed through deep learning improves the accuracy and reduces the processing time needed for manual segmentation using VOCAL. 3D US should be considered a promising tool to help deepen our current understanding of the complex evolution of PHVD.


1993 ◽  
Vol 9 (6) ◽  
pp. 498
Author(s):  
Alan Leviton ◽  
Karl Kuban

Neurology ◽  
2018 ◽  
Vol 90 (8) ◽  
pp. e698-e706 ◽  
Author(s):  
Lara M. Leijser ◽  
Steven P. Miller ◽  
Gerda van Wezel-Meijler ◽  
Annemieke J. Brouwer ◽  
Jeffrey Traubici ◽  
...  

ObjectiveTo compare neurodevelopmental outcomes of preterm infants with and without intervention for posthemorrhagic ventricular dilatation (PHVD) managed with an “early approach” (EA), based on ventricular measurements exceeding normal (ventricular index [VI] <+2 SD/anterior horn width <6 mm) with initial temporizing procedures, followed, if needed, by permanent shunt placement, and a “late approach” (LA), based on signs of increased intracranial pressure with mostly immediate permanent intervention.MethodsObservational cohort study of 127 preterm infants (gestation <30 weeks) with PHVD managed with EA (n = 78) or LA (n = 49). Ventricular size was measured on cranial ultrasound. Outcome was assessed at 18–24 months.ResultsForty-nine of 78 (63%) EA and 24 of 49 (49%) LA infants received intervention. LA infants were slightly younger at birth, but did not differ from EA infants for other clinical measures. Initial intervention in the EA group occurred at younger age (29.4/33.1 week postmenstrual age; p < 0.001) with smaller ventricles (VI 2.4/14 mm >+2 SD; p < 0.01), and consisted predominantly of lumbar punctures or reservoir taps. Maximum VI in infants with/without intervention was similar in EA (3/1.5 mm >+2 SD; p = 0.3) but differed in the LA group (14/2.1 mm >+2 SD; p < 0.001). Shunt rate (20/92%; p < 0.001) and complications were lower in EA than LA group. Most EA infants had normal outcomes (>−1 SD), despite intervention. LA infants with intervention had poorer outcomes than those without (p < 0.003), with scores <−2 SD in 81%.ConclusionIn preterm infants with PHVD, those with early intervention, even when eventually requiring a shunt, had outcomes indistinguishable from those without intervention, all being within the normal range. In contrast, in infants managed with LA, need for intervention predicted worse outcomes. Benefits of EA appear to outweigh potential risks.Classification of evidenceThis study provides Class III evidence that for preterm infants with PHVD, an EA to management results in better neurodevelopmental outcomes than a LA.


2015 ◽  
Vol 104 (7) ◽  
pp. 663-669 ◽  
Author(s):  
F Norooz ◽  
B Urlesberger ◽  
V Giordano ◽  
K Klebermasz-Schrehof ◽  
M Weninger ◽  
...  

2001 ◽  
Vol 17 (6) ◽  
pp. 334-340 ◽  
Author(s):  
Richard E. ◽  
Cinalli G. ◽  
Assis D. ◽  
Pierre-Kahn A. ◽  
Lacaze-Masmonteil T.

2019 ◽  
Vol 50 (2) ◽  
pp. 234-241 ◽  
Author(s):  
Casper Beijst ◽  
Jeroen Dudink ◽  
Rens Wientjes ◽  
Isabel Benavente-Fernandez ◽  
Floris Groenendaal ◽  
...  

Abstract Background Post-haemorrhagic ventricular dilatation can be measured accurately by MRI. However, two-dimensional (2-D) cranial US can be used at the bedside on a daily basis. Objective To assess whether the ventricular volume can be determined accurately using US. Materials and methods We included 31 preterm infants with germinal matrix intraventricular haemorrhage. Two-dimensional cranial US images were acquired and the ventricular index, anterior horn width and thalamo-occipital distance were measured. In addition, cranial MRI was performed. The ventricular volume on MRI was determined using a previously validated automatic segmentation algorithm. We obtained the correlation and created a linear model between MRI-derived ventricular volume and 2-D cranial US measurements. Results The ventricular index, anterior horn width and thalamo-occipital distance as measured on 2-D cranial US were significantly associated with the volume of the ventricles as determined with MRI. A general linear model fitted the data best: ∛ventricular volume (ml) = 1.096 + 0.094 × anterior horn width (mm) + 0.020 × thalamo-occipital distance (mm) with R2 = 0.831. Conclusion The volume of the lateral ventricles of infants with germinal matrix intraventricular haemorrhage can be estimated using 2-D cranial US images by application of a model.


2012 ◽  
Vol 101 (7) ◽  
pp. 743-748 ◽  
Author(s):  
Sally Jary ◽  
Agnese De Carli ◽  
Luca A Ramenghi ◽  
Andrew Whitelaw

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