Value of T1 Mapping in the Non-invasive Assessment of Renal Pathologic Injury for Chronic Kidney Disease Patients-Reference-Cited by-同舟云学术

Value of T1 Mapping in the Non-invasive Assessment of Renal Pathologic Injury for Chronic Kidney Disease Patients

Published:2023 Issue: Volume: Page:
ISSN:1347-3182
Container-title:Magnetic Resonance in Medical Sciences
language:en
Short-container-title:magn reson med sci

Author:

Mao Wei¹,Ding Yuqin¹,Ding Xiaoqiang²,Fu Caixia³,Cao Bohong¹,Nickel Dominik⁴,Zhou Jianjun¹,Zeng Mengsu¹

Affiliation:

1. Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China

2. Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China

3. MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China

4. MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

Publisher

Japanese Society for Magnetic Resonance in Medicine

Subject

Radiology, Nuclear Medicine and imaging

Link

https://www.jstage.jst.go.jp/article/mrms/advpub/0/advpub_mp.2023-0027/_pdf

Reference25 articles.

1. 1. Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med 2013; 158:825–830.

2. 2. Lv JC, Zhang LX. Prevalence and disease burden of chronic kidney disease. Adv Exp Med Biol 2019; 1165:3–15.

3. 3. Cagnoli L. Instructions and implementations for percutaneous renal biopsy. Guidelines for the therapy of glomerular nephropaties. G Ital Nefrol 2003; 20(Suppl 24):S3–S47 (in Italian).

4. 4. Mejía-Vilet JM, Marquez-Martinez MA, Cordova-Sanchez BM, Ibarguengoitia MC, Correa-Rotter R, Morales-Buenrostro LE. Simple risk score for prediction of haemorrhagic complications after a percutaneous renal biopsy. Nephrology (Carlton) 2018; 23:523–529.

5. 5. Graham-Brown MP, Singh A, Wormleighton J, et al. Association between native T1 mapping of the kidney and renal fibrosis in patients with IgA nephropathy. BMC Nephrol 2019; 20:256.

Cited by 3 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. A Non-Invasive Technique to Unveil Renal Implications in Anderson–Fabry Disease;Biomedicines;2024-08-26

2. Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model;BMC Medical Imaging;2024-07-26

3. Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model;2024-02-15