Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease.

ABSTRACT:

Background

Autosomal dominant polycystic kidney disease (ADPKD) can lead to polycystic liver disease (PLD), characterized by liver cysts. Although majority of the patients are asymptomatic, massively enlarged liver secondary to PLD can cause discomfort, and compression on adjacent structures requiring cyst aspiration/fenestration, partial liver resection, or liver transplantation. Monitoring PLD by measuring liver volume fails to track the early stages when liver cyst volume is too small to affect liver volume.

Purpose

To improve PLD assessment in the early stages by automating detection and segmentation of liver cysts using deep learning (DL) models.

Materials and methods

A self-configured UNet-based platform (nnU-Net) was trained with 40 ADPKD subjects with liver cy

SUBMITTER: Chookhachizadeh Moghadam M 

PROVIDER: S-EPMC12429238 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature