The prognostic factors in the prenatal diagnosis of the echogenic fetal lung
Autor: | Matthew Sermer, Ants Toi, David Chitayat, Greg Ryan, Koffi Amankwah, Jon Barret, Robert J. Morrow |
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Rok vydání: | 1995 |
Předmět: |
medicine.medical_specialty
Hydrops Fetalis Prenatal diagnosis Ultrasonography Prenatal Diagnosis Differential Pregnancy Cystic Adenomatoid Malformation of Lung Congenital Hydrops fetalis medicine Humans Bronchopulmonary Sequestration Lung Genetics (clinical) Fetus business.industry Obstetrics Pregnancy Outcome Obstetrics and Gynecology Prognosis medicine.disease Surgery Fetal Diseases medicine.anatomical_structure In utero Gestation Female business Airway Follow-Up Studies |
Zdroj: | Prenatal Diagnosis. 15:849-853 |
ISSN: | 1097-0223 0197-3851 |
DOI: | 10.1002/pd.1970150910 |
Popis: | The prenatal diagnosis of an echogenic fetal lung (EFL) is now often made in the early second trimester using high-resolution ultrasound. This ultrasound appearance is usually caused by a congenital cystic adenomatoid lung malformation (CCAM), an intrapulmonary lung sequestration or obstruction of a major airway. In order to provide prognostic guidelines to parents who may be considering termination of a fetus with these findings, we have analysed a series of 11 cases diagnosed in our centre over the past 2 years in conjunction with 60 cases from major published series. The data suggest that in the absence of non-immune hydrops fetalis (NIHF) or other anomalies, the outcome for the fetuses is excellent, with over 90 per cent survival. Neither early diagnosis (24 weeks) nor the presence of mediastinal shift is a poor prognostic indicator. In addition, it appears that if NIHF is absent at diagnosis, the chance that it will develop as the pregnancy continues is small (6 per cent). Furthermore, there is a significant (up to 30 per cent) chance that this ultrasound finding will resolve in utero. The development of in utero fetal surgical techniques may be the only hope for those hydropic fetuses who appear to have a dismal prognosis. |
Databáze: | OpenAIRE |
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