Literature DB >> 15386455

Assessment of fetal lung development by quantitative ultrasonic tissue characterization: a methodical study.

Ismail Tekesin1, Georgia Anderer, Lars Hellmeyer, Werner Stein, Maritta Kühnert, Stephan Schmidt.   

Abstract

OBJECTIVES: This study was performed to evaluate the quantitative ultrasonic tissue characterization of the normal fetal lung development by using acoustic raw data captured after preprocessing.
METHODS: One hundred and sixty-two patients with completed gestational ages between 22 and 37 weeks were enrolled in this study. Longitudinal and transverse sections of the fetal thorax and upper abdomen were imaged. A region of interest of constant size was defined and the tissue-specific gray scale was determined by using an interactive software.
RESULTS: A total of 162 patients met the inclusion criteria. The echogenicity of the fetal lung showed a particular changing pattern during pregnancy: the mean gray value of the fetal lung (MGV) is almost the same as the MGV of the fetal liver at 22 and 23 weeks, decreases between 22 and 31 weeks and increases between 31 and 37 weeks. The MGV of the fetal liver decreases significantly from 24 weeks to 31 weeks and increases significantly again toward 37 weeks. We stated that the MGV of the lung is smaller than the MGV of the liver during 31 weeks of gestation and the relation reverses in late gestation. At term, the MGV of the liver is greater than the MGV of the lung. The lung-to-liver ratio is <1 between 24 and 29 weeks and >1 between 30 and 35 weeks.
CONCLUSION: The echogenicity of the fetal lung showed a particular changing pattern during pregnancy, which corresponds to morphologic changes of the fetal lung development. Copyright (c) 2004 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2004        PMID: 15386455     DOI: 10.1002/pd.951

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  6 in total

1.  Can fetal pulmonary artery Doppler indices predict neonatal respiratory distress syndrome?

Authors:  G A F A Moety; H M Gaafar; N M El Rifai
Journal:  J Perinatol       Date:  2015-10-22       Impact factor: 2.521

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

Authors:  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 Vavilala; Igor Iruretagoyena; Juan Luis Delgado; Mauro Schenone; Josep Vilanova; Francesc Botet; George S H Yeo; Jon Hyett; Jan Deprest; Roberto Romero; Eduard Gratacos
Journal:  Am J Obstet Gynecol       Date:  2017-03-23       Impact factor: 8.661

3.  Reproducibility of two different methods for performing mean gray value evaluation of cyst content in endometriomas using VOCAL.

Authors:  Stefano Guerriero; Juan Luis Alcazar; Monica Pilloni; Silvia Ajossa; Begoña Olartecoechea; Federica Sedda; Alba Piras; Gian Benedetto Melis; Luca Saba
Journal:  J Med Ultrason (2001)       Date:  2013-12-31       Impact factor: 1.314

4.  Prenatal prediction of respiratory distress syndrome by multimodality approach using 3D lung ultrasound, lung-to-liver intensity ratio tissue histogram and pulmonary artery Doppler assessment of fetal lung maturity.

Authors:  Yasmin Essameldin Abdalla Khalifa; Mona M Aboulghar; Soha T Hamed; Rania H Tomerak; Ahmed M Asfour; Eman F Kamal
Journal:  Br J Radiol       Date:  2021-11-10       Impact factor: 3.039

5.  Concordance of the risk of neonatal respiratory morbidity assessed by quantitative ultrasound lung texture analysis in fetuses of twin pregnancies.

Authors:  Ana L Moreno-Espinosa; Ameth Hawkins-Villarreal; Xavier P Burgos-Artizzu; David Coronado-Gutierrez; Santiago Castelazo; Diana L Lip-Sosa; Javiera Fuenzalida; Dahiana M Gallo; Tatiana Peña-Ramirez; Paula Zuazagoitia; Miriam Muñoz; Mauro Parra-Cordero; Eduard Gratacòs; Montse Palacio
Journal:  Sci Rep       Date:  2022-05-30       Impact factor: 4.996

Review 6.  Artificial Intelligence in Prenatal Ultrasound Diagnosis.

Authors:  Fujiao He; Yaqin Wang; Yun Xiu; Yixin Zhang; Lizhu Chen
Journal:  Front Med (Lausanne)       Date:  2021-12-16
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.