Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Avni, FE; Garel, C; Cassart, M; D'Haene, N; Hall, M; Riccabona, M.
Imaging and classification of congenital cystic renal diseases.
AM J ROENTGENOL. 2012; 198(5): 1004-1013.
Doi: 10.2214/AJR.11.8083
Web of Science
PubMed
FullText
FullText_MUG
- Co-Autor*innen der Med Uni Graz
- Riccabona Michael
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Decision Trees -
- Female -
- Humans -
- Kidney - abnormalities Kidney - embryology
- Kidney Diseases, Cystic - classification Kidney Diseases, Cystic - congenital Kidney Diseases, Cystic - ultrasonography
- Male -
- Pregnancy -
- Syndrome -
- Ultrasonography, Prenatal - methods
- Find related publications in this database (Keywords)
- children
- cystic renal disease
- fetus
- ultrasound