NCT05635136

Brief Summary

Banff classification stands as gold standard and international consensus for the identification, diagnosis and categorization of renal allograft pathology. In addition to multiple revision dedicated to the clarification and refinement of these diagnostic categories, a special attention is now dedicated to the development of automated protocols serving the use of artificial intelligence in digital pathology. To be integrated in the actual early post-transplant monitoring procedure, such original approach is considered to match various growing expectations of clinicians and pathologists regarding the future of transplant nephropathology : decrease inter-observer variability, reduce human errors and limit time-consuming analysis of kidney biopsy. Among these, an accelerated reading and access to Banff diagnostic criteria could help initiating both appropriate and immediate treatment to improve graft survival in kidney transplant recipients. Yet conventional histopathology still requires the preparation of a paraffin block, sections as well as subsequent colorations that altogether delay the final pathological diagnosis and urge the need for additional diagnostic modalities. Designed to overcome this critical limitation, the HARBOR study intends to test the performance of direct histopathological examination of fresh kidney biopsy with full-field optical coherence tomography for the identification of Banff elemental lesions and diagnostic categories.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
16

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Feb 2022

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2022

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2022

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

November 14, 2022

Completed
18 days until next milestone

First Posted

Study publicly available on registry

December 2, 2022

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2023

Completed
Last Updated

January 3, 2024

Status Verified

January 1, 2024

Enrollment Period

3 months

First QC Date

November 14, 2022

Last Update Submit

January 1, 2024

Conditions

Keywords

Kidney TransplantationKidney BiopsyFull-field Optical Coherence Tomography

Outcome Measures

Primary Outcomes (1)

  • Banff lesion scores based on dynamic full-field optical coherence tomography measurement

    Provide a better understanding of the ability of dynamic full-field optical coherence tomography to identify and score the usual Banff lesions comprising interstitial inflammation, tubulitis, intimal arteritis, glomerulitis, peritubular capillaritis, interstitial fibrosis, tubular atrophy, vascular fibrous intimal thickening, glomerular basement membrane double contours, mesangial matrix expansion, arteriolar hyalinosis, hyaline arteriolar thickening, total inflammation and inflammation in the area of both interstitial fibrosis and tubular atrophy. Note that the the Banff scoring system has three grades for each lesion : from mild (1) to moderate (2) and severe (3). In each case, the higher the score the worse the outcome, according to the 2018 Reference Guide to the Banff Classification of Renal Allograft Pathology

    Outcome measure is assessed 15 days following kidney transplant biopsy

Secondary Outcomes (1)

  • Banff diagnostic categories based on dynamic full-field optical coherence tomography measurement

    Outcome measure is assessed 15 days following kidney transplant biopsy

Study Arms (1)

The DIVAT cohort

patient \> 18 years of age who received renal transplant are registered in the DIVAT cohort (standing for computerized and validated data in transplantation, "Données Informatisées VAlidées Transplantation"). It comprises more than 300 clinical and biological parameters collected at the time of transplant, at 3 months, 6 months and at each anniversary of the transplant. The DIVAT cohort and network is accredited by the CNIL (standing for "Commission Nationale de l'Informatique et des Libertés")

Other: Dynamic full-field optical coherence tomography analysis of kidney transplant biopsy

Interventions

Dynamic full-field optical coherence tomography analysis of kidney transplant biopsy before conventional histopathological analysis

The DIVAT cohort

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

patient \> 18 years of age who received renal transplant are registered in the DIVAT cohort. It comprises more than 300 clinical and biological parameters collected at the time of transplant, at 3 months, 6 months and at each anniversary of the transplant. The DIVAT cohort and network is accredited by the CNIL (Commission Nationale de l'Informatique et des Libertés)

You may qualify if:

  • patient \> 18 years of age who received renal transplant registered in the DIVAT cohort with kidney biopsy between start study date and primary completion date

You may not qualify if:

  • inability to perform dynamic full-field optical coherence tomography observation at the moment of kidney biopsy

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Centre Hospitalier William Morey - Chalon sur Saône

Chalon-sur-Saône, Saône-et-Loire, 71100, France

Location

Related Publications (6)

  • Roufosse C, Simmonds N, Clahsen-van Groningen M, Haas M, Henriksen KJ, Horsfield C, Loupy A, Mengel M, Perkowska-Ptasinska A, Rabant M, Racusen LC, Solez K, Becker JU. A 2018 Reference Guide to the Banff Classification of Renal Allograft Pathology. Transplantation. 2018 Nov;102(11):1795-1814. doi: 10.1097/TP.0000000000002366.

    PMID: 30028786BACKGROUND
  • Loupy A, Haas M, Roufosse C, Naesens M, Adam B, Afrouzian M, Akalin E, Alachkar N, Bagnasco S, Becker JU, Cornell LD, Clahsen-van Groningen MC, Demetris AJ, Dragun D, Duong van Huyen JP, Farris AB, Fogo AB, Gibson IW, Glotz D, Gueguen J, Kikic Z, Kozakowski N, Kraus E, Lefaucheur C, Liapis H, Mannon RB, Montgomery RA, Nankivell BJ, Nickeleit V, Nickerson P, Rabant M, Racusen L, Randhawa P, Robin B, Rosales IA, Sapir-Pichhadze R, Schinstock CA, Seron D, Singh HK, Smith RN, Stegall MD, Zeevi A, Solez K, Colvin RB, Mengel M. The Banff 2019 Kidney Meeting Report (I): Updates on and clarification of criteria for T cell- and antibody-mediated rejection. Am J Transplant. 2020 Sep;20(9):2318-2331. doi: 10.1111/ajt.15898. Epub 2020 May 28.

    PMID: 32463180BACKGROUND
  • Anglicheau D, Tinel C, Canaud G, Loupy A, Zuber J, Delville M, Rabate C, Scemla A, Snanoudj R, Sberro-Soussan R, Mamzer-Bruneel MF, Bererhi L, Martinez F, Timsit MO, Rabant M, Correas JM, Bienaime F, Duong JP, Helenon O, Prie D, Mejean A, Legendre C. [Renal transplantation: Procedure and early follow-up]. Nephrol Ther. 2019 Nov;15(6):469-484. doi: 10.1016/j.nephro.2019.09.001. Epub 2019 Oct 19. French.

    PMID: 31640943BACKGROUND
  • Hermsen M, de Bel T, den Boer M, Steenbergen EJ, Kers J, Florquin S, Roelofs JJTH, Stegall MD, Alexander MP, Smith BH, Smeets B, Hilbrands LB, van der Laak JAWM. Deep Learning-Based Histopathologic Assessment of Kidney Tissue. J Am Soc Nephrol. 2019 Oct;30(10):1968-1979. doi: 10.1681/ASN.2019020144. Epub 2019 Sep 5.

    PMID: 31488607BACKGROUND
  • Marechal E, Jaugey A, Tarris G, Paindavoine M, Seibel J, Martin L, Funes de la Vega M, Crepin T, Ducloux D, Zanetta G, Felix S, Bonnot PH, Bardet F, Cormier L, Rebibou JM, Legendre M. Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples. Clin J Am Soc Nephrol. 2022 Feb;17(2):260-270. doi: 10.2215/CJN.07830621. Epub 2021 Dec 3.

    PMID: 34862241BACKGROUND
  • Jain M, Robinson BD, Salamoon B, Thouvenin O, Boccara C, Mukherjee S. Rapid evaluation of fresh ex vivo kidney tissue with full-field optical coherence tomography. J Pathol Inform. 2015 Sep 28;6:53. doi: 10.4103/2153-3539.166014. eCollection 2015.

    PMID: 26605118BACKGROUND

Study Officials

  • Dany Anglicheau

    Hôpital Necker-Enfants Malades

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
1 Year
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 14, 2022

First Posted

December 2, 2022

Study Start

February 1, 2022

Primary Completion

April 30, 2022

Study Completion

April 30, 2023

Last Updated

January 3, 2024

Record last verified: 2024-01

Locations