Noninvasive Assessment of Kidney Injury by Combining Structure and Function Using Artificial Intelligence-Based Manganese-Enhanced Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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Noninvasive Assessment of Kidney Injury by Combining Structure and Function Using Artificial Intelligence-Based Manganese-Enhanced Magnetic Resonance Imaging

Published:2024-01-25 Issue:5 Volume:16 Page:5474-5485
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Zhou Li¹,Yang Zizhen²,Guo Li³,Zou Quan⁴,Zhang Hong¹,Sun Shao-kai³^ORCID,Ye Zhaoxiang⁵,Zhang Cai⁵^ORCID

Affiliation:

1. Department of Radiology, Tianjin Chest Hospital, Tianjin 300052, China

2. Department of Radiology, Ningbo No.2 Hospital, Ningbo 315012, China

3. School of Medical Imaging, Tianjin Medical University, Tianjin 300203, China

4. Department of Radiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China

5. Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin 300060, China

Funder

Ningbo Huamei Hospital of Chinese Academy of Sciences University

National Key Research and Development Program of China

National Natural Science Foundation of China

Ningbo Medical Science and Technology Plan Project

Tianjin Medical University Cancer Institute and Hospital

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c14936

Reference56 articles.

1. Chronic kidney disease

2. Acute kidney injury

3. Radiologic imaging of the renal parenchyma structure and function

4. Treatment of acute renal failure

5. Non-invasive molecular imaging of kidney diseases

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