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Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study
M. Palacio, E. Bonet-Carne, T. Cobo, A. Perez-Moreno, J. Sabrià, J. Richter, M. Kacerovsky, B. Jacobsson, RA. García-Posada, F. Bugatto, R. Santisteve, À. Vives, M. Parra-Cordero, E. Hernandez-Andrade, JL. Bartha, P. Carretero-Lucena, KL. Tan, R....
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, multicentrická studie
- MeSH
- dospělí MeSH
- lidé MeSH
- morbidita MeSH
- novorozenec MeSH
- plíce diagnostické zobrazování embryologie patologie MeSH
- prediktivní hodnota testů MeSH
- prospektivní studie MeSH
- syndrom respirační tísně novorozenců epidemiologie MeSH
- tachypnoe epidemiologie MeSH
- těhotenství MeSH
- ultrasonografie prenatální * MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
BACKGROUND: Prediction of neonatal respiratory morbidity may be useful to plan delivery in complicated pregnancies. The limited predictive performance of the current diagnostic tests together with the risks of an invasive procedure restricts the use of fetal lung maturity assessment. OBJECTIVE: The objective of the study was to evaluate the performance of quantitative ultrasound texture analysis of the fetal lung (quantusFLM) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries. STUDY DESIGN: This was a prospective multicenter study conducted in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0-38.6 weeks of gestation within 48 hours of delivery, stored in Digital Imaging and Communication in Medicine format, and analyzed with quantusFLM. Physicians were blinded to the analysis. At delivery, perinatal outcomes and the occurrence of neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, were registered. The performance of the ultrasound texture analysis test to predict neonatal respiratory morbidity was evaluated. RESULTS: A total of 883 images were collected, but 17.3% were discarded because of poor image quality or exclusion criteria, leaving 730 observations for the final analysis. The prevalence of neonatal respiratory morbidity was 13.8% (101 of 730). The quantusFLM predicted neonatal respiratory morbidity with a sensitivity, specificity, positive and negative predictive values of 74.3% (75 of 101), 88.6% (557 of 629), 51.0% (75 of 147), and 95.5% (557 of 583), respectively. Accuracy was 86.5% (632 of 730) and positive and negative likelihood ratios were 6.5 and 0.3, respectively. CONCLUSION: The quantusFLM predicted neonatal respiratory morbidity with an accuracy similar to that previously reported for other tests with the advantage of being a noninvasive technique.
Althaia Xarxa Assistencial Universitària de Manresa Hospital de Sant Joan de Déu Manresa Spain
Center for Molecular Medicine and Genetics Wayne State University Detroit MI
Centre for Biomedical Research on Rare Diseases Barcelona Spain
Clínica del Prado Medellín Antioquía Colombia
Department of Epidemiology and Biostatistics Michigan State University East Lansing MI
Department of Maternal Fetal Medicine KK Women's and Children's Hospital Singapore
Department of Obstetrics and Gynaecology Consorci Sanitari de Terrassa Terrassa Spain
Department of Obstetrics and Gynecology University of Michigan Ann Arbor MI
Department of Obstetrics and Gynecology University of Tennessee Health Science Center Memphis TN
Division of Maternal and Fetal Medicine University Hospital La Paz Madrid Spain
Fernández Hospital Hyberabad India
Fetal Medicine Unit Clinic University Hospital Virgen de la Arrixaca Murcia Spain
Hospital Nostra Senyora de Meritxell Escaldes Engordany Andorra
Royal Prince Alfred Hospital Sydney University of Sydney Sydney New South Wales Australia
Citace poskytuje Crossref.org
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- $a Palacio, Montse $u BCNatal, Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), IDIBAPS, University of Barcelona, Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (Centro de Investigación Biomédica en Red Enfermedades Raras), Barcelona, Spain. Electronic address: mpalacio@clinic.cat.
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- $a Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study / $c M. Palacio, E. Bonet-Carne, T. Cobo, A. Perez-Moreno, J. Sabrià, J. Richter, M. Kacerovsky, B. Jacobsson, RA. García-Posada, F. Bugatto, R. Santisteve, À. Vives, M. Parra-Cordero, E. Hernandez-Andrade, JL. Bartha, P. Carretero-Lucena, KL. Tan, R. Cruz-Martínez, M. Burke, S. Vavilala, I. Iruretagoyena, JL. Delgado, M. Schenone, J. Vilanova, F. Botet, GSH. Yeo, J. Hyett, J. Deprest, R. Romero, E. Gratacos, . ,
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- $a BACKGROUND: Prediction of neonatal respiratory morbidity may be useful to plan delivery in complicated pregnancies. The limited predictive performance of the current diagnostic tests together with the risks of an invasive procedure restricts the use of fetal lung maturity assessment. OBJECTIVE: The objective of the study was to evaluate the performance of quantitative ultrasound texture analysis of the fetal lung (quantusFLM) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries. STUDY DESIGN: This was a prospective multicenter study conducted in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0-38.6 weeks of gestation within 48 hours of delivery, stored in Digital Imaging and Communication in Medicine format, and analyzed with quantusFLM. Physicians were blinded to the analysis. At delivery, perinatal outcomes and the occurrence of neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, were registered. The performance of the ultrasound texture analysis test to predict neonatal respiratory morbidity was evaluated. RESULTS: A total of 883 images were collected, but 17.3% were discarded because of poor image quality or exclusion criteria, leaving 730 observations for the final analysis. The prevalence of neonatal respiratory morbidity was 13.8% (101 of 730). The quantusFLM predicted neonatal respiratory morbidity with a sensitivity, specificity, positive and negative predictive values of 74.3% (75 of 101), 88.6% (557 of 629), 51.0% (75 of 147), and 95.5% (557 of 583), respectively. Accuracy was 86.5% (632 of 730) and positive and negative likelihood ratios were 6.5 and 0.3, respectively. CONCLUSION: The quantusFLM predicted neonatal respiratory morbidity with an accuracy similar to that previously reported for other tests with the advantage of being a noninvasive technique.
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