Advanced non-invasive diagnostic techniques for visualization and estimation of kidney fibrosis
Drug Discovery Today, ISSN: 1359-6446, Vol: 26, Issue: 8, Page: 2053-2063
2021
- 6Citations
- 13Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations6
- Citation Indexes6
- CrossRef2
- Captures13
- Readers13
- 13
Review Description
Kidney fibrosis is marked by excessive extracellular matrix deposition during disease progression. Unfortunately, existing kidney function parameters do not predict the extent of kidney fibrosis. Moreover, the traditional histology methods for the assessment of kidney fibrosis require liquid and imaging biomarkers as well as needle-based biopsies, which are invasive and often associated with kidney injury. The repetitive analyses required to monitor the disease progression are therefore difficult. Hence, there is an unmet medical need for non-invasive and informative diagnostic approaches to monitor kidney fibrosis during the progression of chronic kidney disease. Here, we summarize the modern advances in diagnostic imaging techniques that have shown promise for non-invasive estimation of kidney fibrosis in pre-clinical and clinical studies.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1359644621000994; http://dx.doi.org/10.1016/j.drudis.2021.02.016; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85101622225&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33617976; https://linkinghub.elsevier.com/retrieve/pii/S1359644621000994; https://dx.doi.org/10.1016/j.drudis.2021.02.016
Elsevier BV
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