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Curr Opin Nephrol Hypertens. 2017 Nov;26(6):450-459. doi: 10.1097/MNH.0000000000000360.

Digital pathology in nephrology clinical trials, research, and pathology practice.

Author information

1
aDepartment of Pathology, University of Miami, Miller School of Medicine, Miami, Florida, USA bDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.

Abstract

PURPOSE OF REVIEW:

In this review, we will discuss (i) how the recent advancements in digital technology and computational engineering are currently applied to nephropathology in the setting of clinical research, trials, and practice; (ii) the benefits of the new digital environment; (iii) how recognizing its challenges provides opportunities for transformation; and (iv) nephropathology in the upcoming era of kidney precision and predictive medicine.

RECENT FINDINGS:

Recent studies highlighted how new standardized protocols facilitate the harmonization of digital pathology database infrastructure and morphologic, morphometric, and computer-aided quantitative analyses. Digital pathology enables robust protocols for clinical trials and research, with the potential to identify previously underused or unrecognized clinically useful parameters. The integration of digital pathology with molecular signatures is leading the way to establishing clinically relevant morpho-omic taxonomies of renal diseases.

SUMMARY:

The introduction of digital pathology in clinical research and trials, and the progressive implementation of the modern software ecosystem, opens opportunities for the development of new predictive diagnostic paradigms and computer-aided algorithms, transforming the practice of renal disease into a modern computational science.

PMID:
28858910
PMCID:
PMC5955389
DOI:
10.1097/MNH.0000000000000360
[Indexed for MEDLINE]
Free PMC Article

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