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Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging

OBJECTIVE: The purpose of this retrospective study is to determine the fetal lung-to-liver signal intensity ratio (LLSIR) on T2-weighted images for the prediction of neonatal respiratory outcome. METHODS: One hundred ten fetuses who underwent magnetic resonance imaging (MRI) examination for various...

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Autores principales: Oka, Yasuko, Rahman, Mosfequr, Sasakura, Chihaya, Waseda, Tomoo, Watanabe, Yukio, Fujii, Ryota, Makinoda, Satoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305273/
https://www.ncbi.nlm.nih.gov/pubmed/25081823
http://dx.doi.org/10.1002/pd.4469
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author Oka, Yasuko
Rahman, Mosfequr
Sasakura, Chihaya
Waseda, Tomoo
Watanabe, Yukio
Fujii, Ryota
Makinoda, Satoru
author_facet Oka, Yasuko
Rahman, Mosfequr
Sasakura, Chihaya
Waseda, Tomoo
Watanabe, Yukio
Fujii, Ryota
Makinoda, Satoru
author_sort Oka, Yasuko
collection PubMed
description OBJECTIVE: The purpose of this retrospective study is to determine the fetal lung-to-liver signal intensity ratio (LLSIR) on T2-weighted images for the prediction of neonatal respiratory outcome. METHODS: One hundred ten fetuses who underwent magnetic resonance imaging (MRI) examination for various indications after 22 weeks of gestation participated in this study. LLSIR was measured as the ratio of signal intensities of the fetal lung and liver on T2-weighted images at MRI. We examined the changes of the ratio with advancing gestation and the relations between LLSIR and the presence of the severe respiratory disorder (SRD) after birth. The best cut-off value of the LLSIR to predict respiratory outcome after birth was calculated using receiver operating characteristic (ROC) curve analysis. RESULTS: Lung-to-liver signal intensity ratio correlated significantly with advancing gestational age (R = 0.35, p < 0.001). The non-SRD group had higher LLSIR compared with the SRD group (2.15 ± 0.30 vs. 1.53 ± 0.40, p < 0.001). ROC curve analysis showed that fetuses with an LLSIR < 2.00 were more likely to develop SRD [sensitivity: 100%, 95% confidence interval (CI): 52–100%; specificity: 73%, 95% CI 54–88%]. CONCLUSION: The fetal LLSIR on T2-weighted images is an accurate marker to diagnose the fetal lung maturity. © 2014 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd.
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spelling pubmed-43052732015-02-03 Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging Oka, Yasuko Rahman, Mosfequr Sasakura, Chihaya Waseda, Tomoo Watanabe, Yukio Fujii, Ryota Makinoda, Satoru Prenat Diagn Original Articles OBJECTIVE: The purpose of this retrospective study is to determine the fetal lung-to-liver signal intensity ratio (LLSIR) on T2-weighted images for the prediction of neonatal respiratory outcome. METHODS: One hundred ten fetuses who underwent magnetic resonance imaging (MRI) examination for various indications after 22 weeks of gestation participated in this study. LLSIR was measured as the ratio of signal intensities of the fetal lung and liver on T2-weighted images at MRI. We examined the changes of the ratio with advancing gestation and the relations between LLSIR and the presence of the severe respiratory disorder (SRD) after birth. The best cut-off value of the LLSIR to predict respiratory outcome after birth was calculated using receiver operating characteristic (ROC) curve analysis. RESULTS: Lung-to-liver signal intensity ratio correlated significantly with advancing gestational age (R = 0.35, p < 0.001). The non-SRD group had higher LLSIR compared with the SRD group (2.15 ± 0.30 vs. 1.53 ± 0.40, p < 0.001). ROC curve analysis showed that fetuses with an LLSIR < 2.00 were more likely to develop SRD [sensitivity: 100%, 95% confidence interval (CI): 52–100%; specificity: 73%, 95% CI 54–88%]. CONCLUSION: The fetal LLSIR on T2-weighted images is an accurate marker to diagnose the fetal lung maturity. © 2014 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd. BlackWell Publishing Ltd 2014-12 2014-08-21 /pmc/articles/PMC4305273/ /pubmed/25081823 http://dx.doi.org/10.1002/pd.4469 Text en © 2014 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Oka, Yasuko
Rahman, Mosfequr
Sasakura, Chihaya
Waseda, Tomoo
Watanabe, Yukio
Fujii, Ryota
Makinoda, Satoru
Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title_full Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title_fullStr Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title_full_unstemmed Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title_short Prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
title_sort prenatal diagnosis of fetal respiratory function: evaluation of fetal lung maturity using lung-to-liver signal intensity ratio at magnetic resonance imaging
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305273/
https://www.ncbi.nlm.nih.gov/pubmed/25081823
http://dx.doi.org/10.1002/pd.4469
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