Abstract #3639

Evaluation of multi-frequency MRE repeatability in healthy people and CKD diagnosis combined with automatic segmentation technique

Yueyao Chen¹, Peiyin Luo¹, Ruirui Qi¹, Haiwei Lin², Qiumei Liang¹, Junfeng Li¹, Qiuyi Chen¹, Haodong Qin³, Fanqi Meng¹, Hanqing Lyu¹, Jingtong Pan¹, Feifei Qu⁴, and Yanglei Wu⁵

¹Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China, ²Shenzhen University, Shenzhen, China, ³MR Research Collaboration, Siemens Healthineers, Guangzhou, China, ⁴MR Research Collaboration, Siemens Healthineers, Shanghai, China, ⁵MR Research Collaboration, Siemens Healthineers, Beijing, China

Synopsis

Keywords: Kidney, Elastography, Magnetic resonance elastography, chronic kidney disease, renal stiffness

Motivation: The incorporation of automated kidney segmentation technology with multi-frequency MRE represents a novel approach in evaluating kidney diseases.

Goal(s): To explore the reliability of multi-frequency MRE combined with an automatic segmentation method and its diagnostic potential for CKD patients.

Approach: Constructed an automatic kidney segmentation model based on the nnU-Net network and measured the renal stiffness of MRE, employing T-tests, ROC curves, and Spearman correlation for data analysis.

Results: The incorporation of an automatic kidney segmentation model and multi-frequency MRE shows promise in effectively evaluating and monitoring kidney fibrosis.

Impact: The incorporation of automated kidney segmentation and MRE presents a new tool for reliably evaluating and monitoring kidney diseases, providing potential advancements in non-invasive diagnoses.

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