Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study

Montse Palacio, Elisenda Bonet-Carne, Teresa Cobo, Alvaro Perez-Moreno, Joan Sabrià, Jute Richter, Marian Kacerovsky, Bo Jacobsson, Raúl A. García-Posada, Fernando Bugatto, Ramon Santisteve, Àngels Vives, Mauro Parra-Cordero, Edgar Hernandez-Andrade, José Luis Bartha, Pilar Carretero-Lucena, Kai Lit Tan, Rogelio Cruz-Martínez, Minke Burke, Suseela VavilalaJ. Igor Iruretagoyena, Juan Luis Delgado, Mauro Schenone, Josep Vilanova, Francesc Botet, George S.H. Yeo, Jon Hyett, Jan Deprest, Roberto Romero, Eduard Gratacos, Marta López, Dulce Castro, Juan Pablo Piraquive, Juan Carlos Ramírez, Federico Migliorelli, Mónica Martínez-Terrón, Silvia Ferrero Martínez, Dolores Gómez Roig, Elisenda Bonet-Carné, Àlvaro Pérez, Mara Domínguez, David Coronado, Philip DeKoninck, Ivana Musilova, Tomas Bestvina, Jan Maly, Zdenek Kokstein, Lars Cedergren, Patricia Johansson, Panagiotis Tsiartas, Karin Sävman, Maria Hallingström, Raúl García Posadas, Fernando Bugatto González, Maria Antonia Fajardo, Rocío Quintero Prado, Victoria Melero Jiménez, Isabel Benavente Fernández, Ramon Santisteve Prat, Benjamín de la Barrera Correa, Elena Gómez Valencia, Raúl Martínez Rodríguez, Elionor Roma Mas, Àngels Vives Argilagós, Alejandra Rodríguez Veret, Esperanza García Cancela, Paloma Araujo Salinas, Álvaro Sepúlveda-Martínez, Hyunyoung Ahn, Eugenia Antolín, Pilar Carretero Lucena, Francisca Molina García, Noemí Jiménez Garrido, Carmen Contreras Tallón, Belén Morillo Antón, Miguel Martínez-Rodríguez, Jon Hyatt, Ritu Mogra, Neus Bons

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)196.e1-196.e14
JournalAmerican Journal of Obstetrics and Gynecology
Volume217
Issue number2
DOIs
StatePublished - Aug 1 2017

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Multicenter Studies
Morbidity
Lung
Transient Tachypnea of the Newborn
Pregnancy
Routine Diagnostic Tests
Communication
Medicine
Prospective Studies
Physicians
Sensitivity and Specificity

All Science Journal Classification (ASJC) codes

  • Obstetrics and Gynecology

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Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis : a multicenter study. / Palacio, Montse; Bonet-Carne, Elisenda; Cobo, Teresa; Perez-Moreno, Alvaro; Sabrià, Joan; Richter, Jute; Kacerovsky, Marian; Jacobsson, Bo; García-Posada, Raúl A.; Bugatto, Fernando; Santisteve, Ramon; Vives, Àngels; Parra-Cordero, Mauro; Hernandez-Andrade, Edgar; Bartha, José Luis; Carretero-Lucena, Pilar; Tan, Kai Lit; Cruz-Martínez, Rogelio; Burke, Minke; Vavilala, Suseela; Iruretagoyena, J. Igor; Delgado, Juan Luis; Schenone, Mauro; Vilanova, Josep; Botet, Francesc; Yeo, George S.H.; Hyett, Jon; Deprest, Jan; Romero, Roberto; Gratacos, Eduard; López, Marta; Castro, Dulce; Piraquive, Juan Pablo; Ramírez, Juan Carlos; Migliorelli, Federico; Martínez-Terrón, Mónica; Martínez, Silvia Ferrero; Gómez Roig, Dolores; Bonet-Carné, Elisenda; Pérez, Àlvaro; Domínguez, Mara; Coronado, David; DeKoninck, Philip; Musilova, Ivana; Bestvina, Tomas; Maly, Jan; Kokstein, Zdenek; Cedergren, Lars; Johansson, Patricia; Tsiartas, Panagiotis; Sävman, Karin; Hallingström, Maria; García Posadas, Raúl; González, Fernando Bugatto; Fajardo, Maria Antonia; Quintero Prado, Rocío; Melero Jiménez, Victoria; Benavente Fernández, Isabel; Prat, Ramon Santisteve; de la Barrera Correa, Benjamín; Valencia, Elena Gómez; Martínez Rodríguez, Raúl; Roma Mas, Elionor; Vives Argilagós, Àngels; Rodríguez Veret, Alejandra; García Cancela, Esperanza; Salinas, Paloma Araujo; Sepúlveda-Martínez, Álvaro; Ahn, Hyunyoung; Antolín, Eugenia; Carretero Lucena, Pilar; Molina García, Francisca; Jiménez Garrido, Noemí; Tallón, Carmen Contreras; Antón, Belén Morillo; Martínez-Rodríguez, Miguel; Hyatt, Jon; Mogra, Ritu; Bons, Neus.

In: American Journal of Obstetrics and Gynecology, Vol. 217, No. 2, 01.08.2017, p. 196.e1-196.e14.

Research output: Contribution to journalArticle

Palacio, M, Bonet-Carne, E, Cobo, T, Perez-Moreno, A, Sabrià, J, Richter, J, Kacerovsky, M, Jacobsson, B, García-Posada, RA, Bugatto, F, Santisteve, R, Vives, À, Parra-Cordero, M, Hernandez-Andrade, E, Bartha, JL, Carretero-Lucena, P, Tan, KL, Cruz-Martínez, R, Burke, M, Vavilala, S, Iruretagoyena, JI, Delgado, JL, Schenone, M, Vilanova, J, Botet, F, Yeo, GSH, Hyett, J, Deprest, J, Romero, R, Gratacos, E, López, M, Castro, D, Piraquive, JP, Ramírez, JC, Migliorelli, F, Martínez-Terrón, M, Martínez, SF, Gómez Roig, D, Bonet-Carné, E, Pérez, À, Domínguez, M, Coronado, D, DeKoninck, P, Musilova, I, Bestvina, T, Maly, J, Kokstein, Z, Cedergren, L, Johansson, P, Tsiartas, P, Sävman, K, Hallingström, M, García Posadas, R, González, FB, Fajardo, MA, Quintero Prado, R, Melero Jiménez, V, Benavente Fernández, I, Prat, RS, de la Barrera Correa, B, Valencia, EG, Martínez Rodríguez, R, Roma Mas, E, Vives Argilagós, À, Rodríguez Veret, A, García Cancela, E, Salinas, PA, Sepúlveda-Martínez, Á, Ahn, H, Antolín, E, Carretero Lucena, P, Molina García, F, Jiménez Garrido, N, Tallón, CC, Antón, BM, Martínez-Rodríguez, M, Hyatt, J, Mogra, R & Bons, N 2017, 'Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study', American Journal of Obstetrics and Gynecology, vol. 217, no. 2, pp. 196.e1-196.e14. https://doi.org/10.1016/j.ajog.2017.03.016
Palacio, Montse ; Bonet-Carne, Elisenda ; Cobo, Teresa ; Perez-Moreno, Alvaro ; Sabrià, Joan ; Richter, Jute ; Kacerovsky, Marian ; Jacobsson, Bo ; García-Posada, Raúl A. ; Bugatto, Fernando ; Santisteve, Ramon ; Vives, Àngels ; Parra-Cordero, Mauro ; Hernandez-Andrade, Edgar ; Bartha, José Luis ; Carretero-Lucena, Pilar ; Tan, Kai Lit ; Cruz-Martínez, Rogelio ; Burke, Minke ; Vavilala, Suseela ; Iruretagoyena, J. Igor ; Delgado, Juan Luis ; Schenone, Mauro ; Vilanova, Josep ; Botet, Francesc ; Yeo, George S.H. ; Hyett, Jon ; Deprest, Jan ; Romero, Roberto ; Gratacos, Eduard ; López, Marta ; Castro, Dulce ; Piraquive, Juan Pablo ; Ramírez, Juan Carlos ; Migliorelli, Federico ; Martínez-Terrón, Mónica ; Martínez, Silvia Ferrero ; Gómez Roig, Dolores ; Bonet-Carné, Elisenda ; Pérez, Àlvaro ; Domínguez, Mara ; Coronado, David ; DeKoninck, Philip ; Musilova, Ivana ; Bestvina, Tomas ; Maly, Jan ; Kokstein, Zdenek ; Cedergren, Lars ; Johansson, Patricia ; Tsiartas, Panagiotis ; Sävman, Karin ; Hallingström, Maria ; García Posadas, Raúl ; González, Fernando Bugatto ; Fajardo, Maria Antonia ; Quintero Prado, Rocío ; Melero Jiménez, Victoria ; Benavente Fernández, Isabel ; Prat, Ramon Santisteve ; de la Barrera Correa, Benjamín ; Valencia, Elena Gómez ; Martínez Rodríguez, Raúl ; Roma Mas, Elionor ; Vives Argilagós, Àngels ; Rodríguez Veret, Alejandra ; García Cancela, Esperanza ; Salinas, Paloma Araujo ; Sepúlveda-Martínez, Álvaro ; Ahn, Hyunyoung ; Antolín, Eugenia ; Carretero Lucena, Pilar ; Molina García, Francisca ; Jiménez Garrido, Noemí ; Tallón, Carmen Contreras ; Antón, Belén Morillo ; Martínez-Rodríguez, Miguel ; Hyatt, Jon ; Mogra, Ritu ; Bons, Neus. / Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis : a multicenter study. In: American Journal of Obstetrics and Gynecology. 2017 ; Vol. 217, No. 2. pp. 196.e1-196.e14.
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title = "Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study",
abstract = "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.",
author = "Montse Palacio and Elisenda Bonet-Carne and Teresa Cobo and Alvaro Perez-Moreno and Joan Sabri{\`a} and Jute Richter and Marian Kacerovsky and Bo Jacobsson and Garc{\'i}a-Posada, {Ra{\'u}l A.} and Fernando Bugatto and Ramon Santisteve and {\`A}ngels Vives and Mauro Parra-Cordero and Edgar Hernandez-Andrade and Bartha, {Jos{\'e} Luis} and Pilar Carretero-Lucena and Tan, {Kai Lit} and Rogelio Cruz-Mart{\'i}nez and Minke Burke and Suseela Vavilala and Iruretagoyena, {J. Igor} and Delgado, {Juan Luis} and Mauro Schenone and Josep Vilanova and Francesc Botet and Yeo, {George S.H.} and Jon Hyett and Jan Deprest and Roberto Romero and Eduard Gratacos and Marta L{\'o}pez and Dulce Castro and Piraquive, {Juan Pablo} and Ram{\'i}rez, {Juan Carlos} and Federico Migliorelli and M{\'o}nica Mart{\'i}nez-Terr{\'o}n and Mart{\'i}nez, {Silvia Ferrero} and {G{\'o}mez Roig}, Dolores and Elisenda Bonet-Carn{\'e} and {\`A}lvaro P{\'e}rez and Mara Dom{\'i}nguez and David Coronado and Philip DeKoninck and Ivana Musilova and Tomas Bestvina and Jan Maly and Zdenek Kokstein and Lars Cedergren and Patricia Johansson and Panagiotis Tsiartas and Karin S{\"a}vman and Maria Hallingstr{\"o}m and {Garc{\'i}a Posadas}, Ra{\'u}l and Gonz{\'a}lez, {Fernando Bugatto} and Fajardo, {Maria Antonia} and {Quintero Prado}, Roc{\'i}o and {Melero Jim{\'e}nez}, Victoria and {Benavente Fern{\'a}ndez}, Isabel and Prat, {Ramon Santisteve} and {de la Barrera Correa}, Benjam{\'i}n and Valencia, {Elena G{\'o}mez} and {Mart{\'i}nez Rodr{\'i}guez}, Ra{\'u}l and {Roma Mas}, Elionor and {Vives Argilag{\'o}s}, {\`A}ngels and {Rodr{\'i}guez Veret}, Alejandra and {Garc{\'i}a Cancela}, Esperanza and Salinas, {Paloma Araujo} and {\'A}lvaro Sep{\'u}lveda-Mart{\'i}nez and Hyunyoung Ahn and Eugenia Antol{\'i}n and {Carretero Lucena}, Pilar and {Molina Garc{\'i}a}, Francisca and {Jim{\'e}nez Garrido}, Noem{\'i} and Tall{\'o}n, {Carmen Contreras} and Ant{\'o}n, {Bel{\'e}n Morillo} and Miguel Mart{\'i}nez-Rodr{\'i}guez and Jon Hyatt and Ritu Mogra and Neus Bons",
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month = "8",
day = "1",
doi = "10.1016/j.ajog.2017.03.016",
language = "English (US)",
volume = "217",
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TY - JOUR

T1 - Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis

T2 - a multicenter study

AU - Palacio, Montse

AU - Bonet-Carne, Elisenda

AU - Cobo, Teresa

AU - Perez-Moreno, Alvaro

AU - Sabrià, Joan

AU - Richter, Jute

AU - Kacerovsky, Marian

AU - Jacobsson, Bo

AU - García-Posada, Raúl A.

AU - Bugatto, Fernando

AU - Santisteve, Ramon

AU - Vives, Àngels

AU - Parra-Cordero, Mauro

AU - Hernandez-Andrade, Edgar

AU - Bartha, José Luis

AU - Carretero-Lucena, Pilar

AU - Tan, Kai Lit

AU - Cruz-Martínez, Rogelio

AU - Burke, Minke

AU - Vavilala, Suseela

AU - Iruretagoyena, J. Igor

AU - Delgado, Juan Luis

AU - Schenone, Mauro

AU - Vilanova, Josep

AU - Botet, Francesc

AU - Yeo, George S.H.

AU - Hyett, Jon

AU - Deprest, Jan

AU - Romero, Roberto

AU - Gratacos, Eduard

AU - López, Marta

AU - Castro, Dulce

AU - Piraquive, Juan Pablo

AU - Ramírez, Juan Carlos

AU - Migliorelli, Federico

AU - Martínez-Terrón, Mónica

AU - Martínez, Silvia Ferrero

AU - Gómez Roig, Dolores

AU - Bonet-Carné, Elisenda

AU - Pérez, Àlvaro

AU - Domínguez, Mara

AU - Coronado, David

AU - DeKoninck, Philip

AU - Musilova, Ivana

AU - Bestvina, Tomas

AU - Maly, Jan

AU - Kokstein, Zdenek

AU - Cedergren, Lars

AU - Johansson, Patricia

AU - Tsiartas, Panagiotis

AU - Sävman, Karin

AU - Hallingström, Maria

AU - García Posadas, Raúl

AU - González, Fernando Bugatto

AU - Fajardo, Maria Antonia

AU - Quintero Prado, Rocío

AU - Melero Jiménez, Victoria

AU - Benavente Fernández, Isabel

AU - Prat, Ramon Santisteve

AU - de la Barrera Correa, Benjamín

AU - Valencia, Elena Gómez

AU - Martínez Rodríguez, Raúl

AU - Roma Mas, Elionor

AU - Vives Argilagós, Àngels

AU - Rodríguez Veret, Alejandra

AU - García Cancela, Esperanza

AU - Salinas, Paloma Araujo

AU - Sepúlveda-Martínez, Álvaro

AU - Ahn, Hyunyoung

AU - Antolín, Eugenia

AU - Carretero Lucena, Pilar

AU - Molina García, Francisca

AU - Jiménez Garrido, Noemí

AU - Tallón, Carmen Contreras

AU - Antón, Belén Morillo

AU - Martínez-Rodríguez, Miguel

AU - Hyatt, Jon

AU - Mogra, Ritu

AU - Bons, Neus

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

AB - 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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U2 - 10.1016/j.ajog.2017.03.016

DO - 10.1016/j.ajog.2017.03.016

M3 - Article

C2 - 28342715

AN - SCOPUS:85018993725

VL - 217

SP - 196.e1-196.e14

JO - American Journal of Obstetrics and Gynecology

JF - American Journal of Obstetrics and Gynecology

SN - 0002-9378

IS - 2

ER -