ReviewJournal of pathology informatics2019
The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide.
Review in Journal of pathology informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.Journal of nephrology · 2022Pooled it
- Galileo-an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies.Journal of nephrology · 2025Article
- "Pathologists in Venice - Real World Cases for an Immersive Training Experience": Education, Gaming, and Show.Journal of pathology informatics · 2025Article
- The Puzzle of Preimplantation Kidney Biopsy Decision-Making Process: The Pathologist Perspective.Life (Basel, Switzerland) · 2024Review
- Histology for nephrology, from pre-implantation to post-transplant kidney biopsy. Lesson learned from ReBIrth (Renal BIopsy for Kidney Transplantation Therapy).Pathologica · 2023Review
- Application of digital pathology and machine learning in the liver, kidney and lung diseases.Journal of pathology informatics · 2023Review
- European Society for Organ Transplantation (ESOT)-TLJ 3.0 Consensus on Histopathological Analysis of Pre-Implantation Donor Kidney Biopsy: Redefining the Role in the Process of Graft Assessment.Transplant international : official journal of the European Society for Organ Transplantation · 2023Article
- Validation of Remote Digital Pathology based diagnostic reporting of Frozen Sections from home.Journal of pathology informatics · 2023Article
- Computer-assisted evaluation enhances the quantification of interstitial fibrosis in renal implantation biopsies, measures differences between frozen and paraffin sections, and predicts delayed graft function.Journal of nephrology · 2022Article
- The Independent Effects of Procurement Biopsy Findings on 10-Year Outcomes of Extended Criteria Donor Kidney Transplants.Kidney international reports · 2022Article
- Deceased Donor Procurement Biopsy Practices, Interpretation, and Histology-Based Decision-Making: A Survey of US Kidney Transplant Centers.Kidney international reports · 2022Article
- Validation of portable tablets for transplant pathology diagnosis according to the College of American Pathologists Guidelines.Academic pathology · 2022Article
- Variations in deceased donor kidney procurement biopsy practice patterns: A survey of U.S. organ procurement organizations.Clinical transplantation · 2021Article
- Resolution-based distillation for efficient histology image classification.Artificial intelligence in medicine · 2021Article
- Commentary: The Digital Fate of Glomeruli in Renal Biopsy.Journal of pathology informatics · 2021Article
- Advantages of Using a Web-based Digital Platform for Kidney Preimplantation Biopsies.Journal of pathology informatics · 2021Article
- Precision transplant pathology.Current opinion in organ transplantation · 2020Review
- Whole Slide Imaging and Its Applications to Histopathological Studies of Liver Disorders.Frontiers in medicine · 2019Review
- Frozen section telepathology service: Efficiency and benefits of an e-health policy in South Tyrol.Digital healthArticle
- Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges.XenotransplantationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital pathology has progressed over the last two decades, with many clinical and nonclinical applications. Transplantation pathology is a highly specialized field in which the majority of practicing pathologists do not have sufficient expertise to handle critical needs. In this context, digital pathology has proven to be useful as it allows for timely access to expert second-opinion teleconsultation. The aim of this study was to review the experience of the application of digital pathology to the field of transplantation.
methodsPapers on this topic were retrieved using PubMed as a search engine. Inclusion criteria were the presence of transplantation setting and the use of any type of digital image with or without the use of image analysis tools; the search was restricted to English language papers published in the 25 years until December 31, 2018.
resultsLiterature regarding digital transplant pathology is mostly about the digital interpretation of posttransplant biopsies (75 vs. 19), with 15/75 (20%) articles focusing on agreement/reproducibility. Several papers concentrated on the correlation between biopsy features assessed by digital image analysis (DIA) and clinical outcome (45/75, 60%). Whole-slide imaging (WSI) only appeared in recent publications, starting from 2011 (13/75, 17.3%). Papers dealing with preimplantation biopsy are less numerous, the majority (13/19, 68.4%) of which focus on diagnostic agreement between digital microscopy and light microscopy (LM), with WSI technology being used in only a small quota of papers (4/19, 21.1%).
conclusionsOverall, published studies show good concordance between digital microscopy and LM modalities for diagnosis. DIA has the potential to increase diagnostic reproducibility and facilitate the identification and quantification of histological parameters. Thus, with advancing technology such as faster scanning times, better image resolution, and novel image algorithms, it is likely that WSI will eventually replace LM.
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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.