Recent Advances in Kidney Disease Imaging
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nephrology & Urology".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 17618
Special Issue Editors
Interests: medical imaging; image processing; DWI; renal MRI; ADPKD
Special Issues, Collections and Topics in MDPI journals
2. Centre for Kidney Research and Innovation, University of Nottingham, Nottingham NG7 2RD, UK
Interests: acute kidney injury; haemodynamic and cardiovascular consequences of dialysis; renal imaging
Special Issue Information
Dear Colleagues,
In recent years, there have been great advances in kidney imaging, allowing assessments of kidney structure and morphology, perfusion, function and metabolism, oxygenation, and microstructure.
This is becoming increasingly important in the evaluation of kidney physiology and pathophysiology, showing promise in the management of patients with kidney disease, in particular concerning diagnosis, classification, and prediction of disease development and progression, monitoring response to therapy, detection of drug toxicity, and patient selection for clinical trials.
A variety of imaging modalities are currently available to provide quantitative measures of the kidney both spatially and temporally. Imaging techniques should be chosen based on the clinical question and the disease area, and the integration of various modalities providing complementary information represents a promising development.
The current Special Issue aims to collect together recent advances in key imaging techniques that are currently available or potentially relevant to image kidney disease, excluding oncological applications. We hope this Special Issue will raise awareness among clinicians of a range of promising imaging tools that in the short to long term are expected to help improve kidney disease management in clinics.
Dr. Anna Caroli
Prof. Dr. Nicholas Selby
Guest Editors
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Keywords
- kidney disease
- imaging techniques
- MRI
- CT
- ultrasound
- pathophysiology
- diagnosis
- prediction
- progression
- monitoring
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