| Imaging and classification of congenital cystic renal diseases. | |
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MedLine Citation:
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PMID: 22528889 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: The purpose of this clinical perspective is to describe a decision-tree approach to the finding of hyperechoic kidneys as signs of congenital renal cystic disease in fetuses and children. This approach takes into account the latest classification of inherited renal cystic diseases. The basis of the approach is a detailed sonographic analysis in addition to assessment of clinical data and the familial history. CONCLUSION: With the decision-tree approach, typical sonographic patterns can be described and used for accurate diagnosis of isolated renal cystic diseases and polymalformative syndromes. In some cases, however, the diagnosis is not achieved, and complementary examinations are needed. |
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Authors:
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Fred E Avni; Catherine Garel; Marie Cassart; Nicky D'Haene; Michele Hall; Michael Riccabona |
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Publication Detail:
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Type: Journal Article; Review |
Journal Detail:
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Title: AJR. American journal of roentgenology Volume: 198 ISSN: 1546-3141 ISO Abbreviation: AJR Am J Roentgenol Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-24 Completed Date: 2012-07-19 Revised Date: 2013-05-20 |
Medline Journal Info:
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Nlm Unique ID: 7708173 Medline TA: AJR Am J Roentgenol Country: United States |
Other Details:
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Languages: eng Pagination: 1004-13 Citation Subset: AIM; IM |
Affiliation:
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Department of Medical Imaging, Erasme Hospital, Brussels, Belgium. Freddy.Avni@erasme.ulb.ac.be |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Decision Trees* Female Humans Kidney / abnormalities, embryology Kidney Diseases, Cystic / classification, congenital*, ultrasonography* Male Pregnancy Syndrome Ultrasonography, Prenatal / methods* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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