Title : 
Consistent association between image features of fetal lungs from different ultrasound equipments and fetal lung maturity from amniocentesis
         
        
            Author : 
Bonet-Carne, E. ; Cobo, T. ; Luque, J. ; Martínez-Terrón, M. ; Perez-Moreno, A. ; Palacio, M. ; Gratacos, E. ; Amat-Roldan, I.
         
        
            Author_Institution : 
TransMural Biotech, S.L., Barcelona, Spain
         
        
        
        
        
        
            Abstract : 
Respiratory disorders in premature are outlined as one of the major causes of newborn morbidity. Therefore, estimation in utero of the risk that a particular newborn will present respiratory distress syndrome is critical in perinatal medicine. Fetal lung maturity assessment by non-invasive methods is an unsolved problem since 80´s. There has been a significant effort reporting that ultrasound images carry information associated with changes of fetal lung microstructure but it required the lung-to-liver measurements to be calibrated, which limits clinical feasibility. In this work, we explored the association between image features only from a fetal lung computed by a previously reported probabilistic model and fetal lung maturity. Two studies validated image features obtained from different US equipments: 957 scans were correlated to gestational age (r>;0.97); and 83 scans were modeled to estimate a normalized lung maturity index in 7 blind samples. Bootstrapping provided median r>;0.82.
         
        
            Keywords : 
biomedical ultrasonics; diseases; lung; obstetrics; physiological models; probability; amniocentesis; fetal lung image features; fetal lung maturity assessment; fetal lung maturity probabilistic model; in utero risk estimation; newborn morbidity; noninvasive methods; perinatal medicine; premature neonates; respiratory disorders; respiratory distress syndrome risk estimation; ultrasound equipments; ultrasound images; Amniocentesis; Biomedical imaging; Computational modeling; Correlation; Lungs; Pediatrics; Ultrasonic imaging; Image texture analysis; Statistical Learning; fetal lung; lung maturity; ultrasound;
         
        
        
        
            Conference_Titel : 
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
         
        
            Conference_Location : 
Barcelona
         
        
        
            Print_ISBN : 
978-1-4577-1857-1
         
        
        
            DOI : 
10.1109/ISBI.2012.6235872