Gontard, Lionel C.Pizarro, JoaquínSanz-Peña, BorjaLubián López, Simón P.Benavente-Fernández, Isabel2022-11-182022-11-182021-01-12Gontard LC, Pizarro J, Sanz-Peña B, Lubián López SP, Benavente-Fernández I. Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants. Sci Rep. 2021 Jan 12;11(1):567http://hdl.handle.net/10668/4363To 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.enAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Deep learningBirth weightGestational agePremature infantsConvolutional neural networksUltrasonographyStroke VolumeAprendizaje profundoPeso al nacerEdad gestacionalRecien nacido prematuroRed nerviosaUltrasonografíaVolumen sistólicoMedical Subject Headings::Anatomy::Body Regions::BreastMedical Subject Headings::Diseases::Pathological Conditions, Signs and Symptoms::Pathological Conditions, Anatomical::Dilatation, PathologicMedical Subject Headings::Anatomy::Cardiovascular System::Heart::Heart VentriclesMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Diseases::Pathological Conditions, Signs and Symptoms::Pathological Conditions, Anatomical::HypertrophyMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Image Processing, Computer-AssistedMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-DimensionalMedical Subject Headings::Persons::Persons::Age Groups::Infant::Infant, NewbornMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Organ SizeMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Sensitivity and SpecificityMedical Subject Headings::Information Science::Information Science::Computing Methodologies::Software::Software DesignMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::UltrasonographyMedical Subject Headings::Persons::Persons::Age Groups::Infant::Infant, Newborn::Infant, PrematureMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Birth WeightMedical Subject Headings::Phenomena and Processes::Physiological Phenomena::Physiological Processes::Growth and Development::Morphogenesis::Embryonic and Fetal Development::Fetal Development::Gestational AgeMedical Subject Headings::Phenomena and Processes::Mathematical Concepts::Neural Networks (Computer)Medical Subject Headings::Phenomena and Processes::Circulatory and Respiratory Physiological Phenomena::Cardiovascular Physiological Phenomena::Hemodynamics::Cardiac Output::Stroke VolumeAutomatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infantsresearch article33436974open access10.1038/s41598-020-80783-32045-2322PMC7803781