ArticleClinical kidney journal2017
Digital pathology imaging as a novel platform for standardization and globalization of quantitative nephropathology.
Article in Clinical kidney journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.Journal of nephrology · 2024Pooled it
- Interobserver agreement analysis among renal pathologists in classification of lupus nephritis using a digital pathology image dataset: after a third evaluation.Kidney research and clinical practice · 2026Article
- Histopathology of Diabetic Nephropathy: Beyond Glomerular Basement Membrane Thickening.Cureus · 2025Review
- Artificial intelligence in renal pathology: Current status and future.Biomolecules & biomedicine · 2023Review
- Assessment of Fibrinogen-like 2 (FGL2) in Human Chronic Kidney Disease through Transcriptomics Data Analysis.Biomolecules · 2022Article
- Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022Observational
- Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.Scientific reports · 2022Article
- Impact of Consensus Definitions on Identification of Glomerular Lesions by Light and Electron Microscopy.Kidney international reports · 2022Article
- APOL1 genotype-associated morphologic changes among patients with focal segmental glomerulosclerosis.Pediatric nephrology (Berlin, Germany) · 2021Article
- AI applications in renal pathology.Kidney international · 2021Review
- Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network.Contemporary clinical trials communications · 2021Article
- Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies.The Journal of pathology · 2021Article
- Modified Look-Locker Inverse-Recovery (MOLLI) Sequence of Quantitative Imaging in Dirty Magnetic Resonance Longitudinal Relaxation Time Diagnostic Value of GE Combined with Longitudinal Relaxation Time Quantitative Imaging for Myocardial Amyloidosis.Journal of healthcare engineering · 2021Article
- Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.Kidney international · 2021Article
- Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.Journal of pathology informatics · 2021Article
- Digital pathology and computational image analysis in nephropathology.Nature reviews. Nephrology · 2020Review
- Biobanking for glomerular diseases: a study design and protocol for KOrea Renal biobank NEtwoRk System TOward NExt-generation analysis (KORNERSTONE).BMC nephrology · 2020Observational
- Understanding the Link between Neighborhoods and Kidney Disease.Kidney360 · 2020Article
- Artificial intelligence driven next-generation renal histomorphometry.Current opinion in nephrology and hypertension · 2020Review
- Data for glomeruli characterization in histopathological images.Data in brief · 2020Article
Corrections and comments
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Authors and funding
11 authors at 11 institutions in 6 countries.
Funding
Abstract
The introduction of digital pathology to nephrology provides a platform for the development of new methodologies and protocols for visual, morphometric and computer-aided assessment of renal biopsies. Application of digital imaging to pathology made substantial progress over the past decade; it is now in use for education, clinical trials and translational research. Digital pathology evolved as a valuable tool to generate comprehensive structural information in digital form, a key prerequisite for achieving precision pathology for computational biology. The application of this new technology on an international scale is driving novel methods for collaborations, providing unique opportunities but also challenges. Standardization of methods needs to be rigorously evaluated and applied at each step, from specimen processing to scanning, uploading into digital repositories, morphologic, morphometric and computer-aided assessment, data collection and analysis. In this review, we discuss the status and opportunities created by the application of digital imaging to precision nephropathology, and present a vision for the near future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.