Evidence map›Paper›PMID 40485696›Full record

ArticleKidney international reports2025

Rapid On-Site Histopathological Analysis of Kidney Biopsy With Dynamic Full-Field Optical Coherence Tomography.

Léa Zuccarelli, Quentin Bernard, Georges Tarris, Laurent Martin, Mathilde Funes de la Vega, Amélie Jacq, Jean-Michel Rebibou, Claire Tinel, Claude Boccara, Olivier Thouvenin and 12 more

Abstract read
In one paragraph

Article in Kidney international reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Léa ZuccarelliDepartment of Nephrology, CHU Dijon, Dijon, France.
Quentin BernardDepartment of Nephrology, William Morey General Hospital, Chalon-sur-Saône, France.
Georges TarrisDepartment of Pathology, Dijon University Hospital, Dijon, France.
Laurent MartinDepartment of Pathology, Dijon University Hospital, Dijon, France.
Mathilde Funes de la VegaDepartment of Pathology, Dijon University Hospital, Dijon, France.
Amélie JacqDepartment of Nephrology, CHU Dijon, Dijon, France.
Jean-Michel RebibouDepartment of Nephrology, CHU Dijon, Dijon, France.
Claire TinelDepartment of Nephrology, CHU Dijon, Dijon, France.
Claude BoccaraDepartment of Medical and Biological Imaging, Institut Langevin, ESPCI Paris, PSL University, CNRS, Paris, France.
Olivier ThouveninDepartment of Medical and Biological Imaging, Institut Langevin, ESPCI Paris, PSL University, CNRS, Paris, France.
Jean-Marie ChassotDepartment of Medical and Biological Imaging, Institut Langevin, ESPCI Paris, PSL University, CNRS, Paris, France.
Marion RabantPathology department, Necker-Enfants Malades Hospital, Paris, France.
Julien ZuberFaculty of Medicine, Université Paris-Cité, Paris, France.
Christophe LegendreFaculty of Medicine, Université Paris-Cité, Paris, France.
Jean-Pierre QuenotLipness Team, Institut national de la santé et de la recherche médicale (INSERM) Research Centre Lipides, Nutrition, Cancer - Unité mixte de recherche (LNC-UMR) 1231, University of Burgundy, Dijon, France.
Marie-Noëlle PeraldiFaculty of Medicine, Université Paris-Cité, Paris, France.
Lucile AmroucheFaculty of Medicine, Université Paris-Cité, Paris, France.
Anne ScemlaFaculty of Medicine, Université Paris-Cité, Paris, France.
Nathalie ChavarotFaculty of Medicine, Université Paris-Cité, Paris, France.
Dany AnglicheauFaculty of Medicine, Université Paris-Cité, Paris, France.
Mathieu LegendreDepartment of Nephrology, CHU Dijon, Dijon, France.
Thomas MaldineyLipness Team, Institut national de la santé et de la recherche médicale (INSERM) Research Centre Lipides, Nutrition, Cancer - Unité mixte de recherche (LNC-UMR) 1231, University of Burgundy, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney histology preparation requires a multistep process that is usually responsible for delayed results. This study introduces dynamic full-field optical coherence tomography (D-FF-OCT) as a label-free alternative to overcome the limitations of traditional histopathology for on-site kidney pathology assessment. Methods: Two patient cohorts were considered, with a total of 31 patients included in the study; one cohort involved patients requiring biopsy of transplant kidney, and the other involved patients requiring biopsy of native kidney. The clinical and biological data were prospectively collected. Histopathological analysis of kidney biopsies was conducted using both conventional stains and dynamic D-FF-OCT imaging. Results: D-FF-OCT enabled the recognition of most kidney structures. The results showed a significant correlation between this technology and conventional stains for the evaluation of both interstitial fibrosis (IF) ( Conclusion: This study demonstrates the potential of D-FF-OCT imaging for on-site analysis of kidney biopsies, providing rapid and high-resolution images without extensive sample preparation.

Indexed as

dynamic contrastdynamic full-field optical coherence tomographykidney pathology

Identifiers

PMID40485696
PMCPMC12142508

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.