DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/13512
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGaikwad, Anil Bhanudas-
dc.date.accessioned2023-12-23T07:12:32Z-
dc.date.available2023-12-23T07:12:32Z-
dc.date.issued2021-08-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1359644621000994-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/13512-
dc.description.abstractKidney 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.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectPharmacyen_US
dc.subjectKidney fibrosisen_US
dc.subjectChronic kidney diseases (CKD)en_US
dc.titleAdvanced non-invasive diagnostic techniques for visualization and estimation of kidney fibrosisen_US
dc.typeArticleen_US
Appears in Collections:Department of Pharmacy

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.