Rapid On-Site Histopathological Analysis of Kidney Biopsy With Dynamic Full-Field Optical Coherence Tomography
Year: 2025
Type: article
Study design: Observational Study
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) ( r = 0.61, P < 0.001) and tubular atrophy (TA) ( r = 0.60, P < 0.001). Although many lesions could be identified such as interstitial inflammation, acute tubular necrosis, glomerular crescents, and vascular intimal thickening; other recognitions such as glomerular membranous deposits, vascular amyloidosis, and peritubular capillaritis will require confirmation in larger cohorts. 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.
Source: Kidney International Reports
Authors: Léa Zuccarelli, Quentin Bernard, Georges Tarris, Laurent Martin, Mathilde Funes de la Vega, Amélie Jacq, Jean-Michel Rebibou, Claire Tinel, Claude Boccara, Olivier Thouvenin, Jean-Marie Chassot, Marion Rabant, Julien Zuber, Christophe Legendre, Jean-Pierre Quenot, Marie-Noëlle Peraldi, Lucile Amrouche, Anne Scemla, Nathalie Chavarot, Dany Anglicheau, Mathieu Legendre, Thomas Maldiney
Institutions: CHU Dijon Bourgogne, Centre Hospitalier William Morey, Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, Institut Langevin, ESPCI Paris, Hôpital Necker-Enfants Malades, Université Paris Cité, Assistance Publique – Hôpitaux de Paris, Inserm, Université de Bourgogne, Centre de recherche Translationnelle en Médecine moléculaire, Laboratoire d'étude de l'apprentissage et du développement
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,800
OpenAlex ID: W4407229803