Risk Severity Model for Pediatric Autosomal Dominant Polycystic Kidney Disease Using 3D Ultrasound Volumetry.
Luc BreysemFrederik De KeyzerPieter SchellekensAngélique DachyStephanie De RechterPeter JanssensRudi VennekensBert BammensMaria V IrazabalChantal Van OngevalPeter C HarrisDjalila Mekahlinull nullPublished in: Clinical journal of the American Society of Nephrology : CJASN (2023)
We proposed a five-level Leuven Imaging Classification ADPKD pediatric model as a novel classification tool on the basis of patients' age and 3D ultrasound-htTKV for reliable discrimination of childhood ADPKD severity.
Keyphrases
- polycystic kidney disease
- end stage renal disease
- machine learning
- magnetic resonance imaging
- deep learning
- ejection fraction
- newly diagnosed
- chronic kidney disease
- high resolution
- prognostic factors
- ultrasound guided
- childhood cancer
- computed tomography
- contrast enhanced ultrasound
- young adults
- patient reported
- breast cancer risk