
Automated Kidney and Liver Segmentation in MR Images in Patients with Autosomal Dominant Polycystic Kidney Disease: A Multicenter Study
Author(s) -
Piotr Woźnicki,
Florian Siedek,
Maatje D A van Gastel,
Daniel Pinto dos Santos,
Sita Arjune,
Larina A Karner,
Franziska Meyer,
Thorsten Persigehl,
Ronald Gansevoort,
Franziska Grundmann,
Bettina Baeßler,
RomanUlrich Müller
Publication year - 2022
Publication title -
kidney360
Language(s) - English
Resource type - Journals
ISSN - 2641-7650
DOI - 10.34067/kid.0003192022
Subject(s) - autosomal dominant polycystic kidney disease , medicine , kidney disease , polycystic kidney , kidney , segmentation , multicenter study , pathology , radiology , artificial intelligence , computer science , randomized controlled trial
Imaging-based total kidney volume (TKV) and total liver volume (TLV) are major prognostic factors in autosomal dominant polycystic kidney disease (ADPKD) and end points for clinical trials. However, volumetry is time consuming and reader dependent in clinical practice. Our aim was to develop a fully automated method for joint kidney and liver segmentation in magnetic resonance imaging (MRI) and to evaluate its performance in a multisequence, multicenter setting.