Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning-Reference-Cited by-同舟云学术

Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning

Published:2023-10 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

He Xinzi,Hu Zhongxiu,Dev Hreedi,Romano Dominick J.,Sharbatdaran Arman,Raza Syed I.,Wang Sophie J.,Teichman Kurt,Shih George,Chevalier James M.,Shimonov Daniil,Blumenfeld Jon D.,Goel Akshay,Sabuncu Mert R.,Prince Martin R.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference40 articles.

1. The importance of total kidney volume in evaluating progression of polycystic kidney disease;Grantham;Nat Rev Nephrol,2016

2. Kidney volume and functional outcomes in autosomal dominant polycystic kidney disease;Chapman;Clin J Am Soc Nephrol,2012

3. Effect of tolvaptan in autosomal dominant polycystic kidney disease by CKD stage: results from the TEMPO 3:4 trial;Torres;Clin J Am Soc Nephrol,2016

4. Tolvaptan in later-stage autosomal dominant polycystic kidney disease;Torres;N Engl J Med,2017

5. Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials;Irazabal;J Am Soc Nephrol,2015

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MRI of kidney size matters;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-03

2. Improved predictions of total kidney volume growth rate in ADPKD using two-parameter least squares fitting;Scientific Reports;2024-06-14

3. A Primer for Utilizing Deep Learning and Abdominal MRI Imaging Features to Monitor Autosomal Dominant Polycystic Kidney Disease Progression;Biomedicines;2024-05-20

4. Feasibility of Water Therapy for Slowing Autosomal Dominant Polycystic Kidney Disease Progression;Kidney360;2024-04-01

5. Generalizable Kidney Segmentation for Total Volume Estimation;Informatik aktuell;2024