Moreno-Espinosa Ana L, Hawkins-Villarreal Ameth, Coronado-Gutierrez David, Burgos-Artizzu Xavier P, Martínez-Portilla Raigam J, Peña-Ramirez Tatiana, Gallo Dahiana M, Hansson Stefan R, Gratacòs Eduard, Palacio Montse
BCNatal-Fetal Medicine Research Center, Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, 08028 Barcelona, Spain.
Department of Obstetrics and Gynecology, Hospital Santo Tomás, Universidad de Panamá, Panama City 07096, Panama.
J Clin Med. 2022 Aug 20;11(16):4895. doi: 10.3390/jcm11164895.
The objective of this study was to evaluate the performance of quantitative ultrasound of fetal lung texture analysis in predicting neonatal respiratory morbidity (NRM) in twin pregnancies. This was an ambispective study involving consecutive cases. Eligible cases included twin pregnancies between 27.0 and 38.6 weeks of gestation, for which an ultrasound image of the fetal thorax was obtained within 48 h of delivery. Images were analyzed using quantusFLM version 3.0. The primary outcome of this study was neonatal respiratory morbidity, defined as the occurrence of either transient tachypnea of the newborn or respiratory distress syndrome. The performance of quantusFLM in predicting NRM was analyzed by matching quantitative ultrasound analysis and clinical outcomes. This study included 166 images. Neonatal respiratory morbidity occurred in 12.7% of cases, and it was predicted by quantusFLM analysis with an overall sensitivity of 42.9%, specificity of 95.9%, positive predictive value of 60%, and negative predictive value of 92.1%. The accuracy was 89.2%, with a positive likelihood ratio of 10.4, and a negative likelihood ratio of 0.6. The results of this study demonstrate the good prediction capability of NRM in twin pregnancies using a non-invasive lung texture analysis software. The test showed an overall good performance with high specificity, negative predictive value, and accuracy.
本研究的目的是评估胎儿肺纹理分析的定量超声在预测双胎妊娠新生儿呼吸疾病（NRM）中的性能。这是一项涉及连续病例的前瞻性研究。符合条件的病例包括妊娠27.0至38.6周的双胎妊娠，且在分娩后48小时内获得了胎儿胸部的超声图像。使用3.0版quantusFLM对图像进行分析。本研究的主要结局是新生儿呼吸疾病，定义为新生儿短暂性呼吸急促或呼吸窘迫综合征的发生。通过匹配定量超声分析和临床结局来分析quantusFLM在预测NRM中的性能。本研究包括166幅图像。12.7%的病例发生了新生儿呼吸疾病，quantusFLM分析预测的总体敏感性为42.9%，特异性为95.9%，阳性预测值为60%，阴性预测值为92.1%。准确率为89.2%，阳性似然比为10.4，阴性似然比为0.6。本研究结果表明，使用非侵入性肺纹理分析软件对双胎妊娠中的NRM具有良好的预测能力。该测试总体表现良好，具有高特异性、阴性预测值和准确率。
