Development and Validation of a Comprehensive Classification Automation System for Kidney Allograft Biopsies

April 1, 2022 updated by: Professor Alexandre Loupy, Paris Translational Research Center for Organ Transplantation

Development, Application, and Validation of a Comprehensive Classification Automation System for Allograft Precision Diagnostics in Adult and Pediatric Kidney Transplant Biopsies

Since 1991, the Banff classification has been the gold standard for defining antibody-mediated rejection (AMR) and T-cell mediated rejection (TCMR), thereby guiding the treatment and management of transplant recipients. Starting from a pure histological approach, the classification has moved over the past three decades towards an integrated precision diagnosis system, which encompasses other expertise, such as immunology, immunogenetic, other basic sciences, biostatistics, data science, and artificial intelligence The counterpart of this constant refinement is that Banff rules are becoming complex to follow, with numerous possible scenarios leading to a high degree of inter-observer variability and misclassifications, which may lead to therapeutic consequences.

The aims of this study are:

  1. To integrate and decode all Banff rules and develop a computer-based application - the Banff Automation System - which provides automated and reproducible diagnoses
  2. To validate the ability of the Banff Automation System to reclassify rejection diagnoses in multicenter cohort studies and clinical trials.

Study Overview

Status

Recruiting

Detailed Description

Despite considerable advances in the development of effective immunosuppressive therapies, allograft rejection remains the main cause of graft loss after kidney transplantation. Since 1991, the Banff classification has been the gold standard for defining antibody-mediated rejection (AMR) and T-cell mediated rejection (TCMR), thereby guiding the treatment and management of transplant recipients. Starting from a pure histological approach, the classification has moved over the past three decades towards an integrated precision diagnosis system, which encompasses other expertise, such as immunology, immunogenetic, other basic sciences, biostatistics, data science, and artificial intelligence The counterpart of this constant refinement is that Banff rules are becoming complex to follow, with numerous possible scenarios leading to a high degree of inter-observer variability and misclassifications, which may lead to therapeutic consequences. Hence, international transplant societies and regulatory agencies urgently appealed for a more comprehensible and reproducible classification, required for decision-making process and reliable surrogate endpoints, to further improve patients care and drug development.

The aims of this study are:

  1. To integrate and decode all Banff rules and develop a computer-based application - the Banff Automation System - which provides automated and reproducible diagnoses
  2. To validate the ability of the Banff Automation System to reclassify rejection diagnoses in multicenter cohort studies and clinical trials.

Based on the results, the investigators will provide a comprehensive, user-friendly, and open-access online application which might improve reproducibility and precision of biopsies' diagnoses, thereby reducing misclassifications, and path the way to standardize histology-based endpoints in observational studies and clinical trials, and post-transplant diagnostic and therapeutic's management of kidney transplant recipients.

Study Type

Observational

Enrollment (Anticipated)

4000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Île-de-France
      • Paris, Île-de-France, France, 75015
        • Recruiting
        • Paris Translational Centre for Organ Transplantation
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Kidney transplant recipients of all sexes recruited in observational studies performed in Europe and United States, with at least one kidney biopsy performed with all the relevant data to provide a reliable diagnosis according to the Banff classification (i.e., adequate biopsies without missing data for Banff lesion scores, donor-specific antibody status, and C4d staining).

Description

Inclusion Criteria:

  • Kidney transplant recipients
  • At least one kidney transplant biopsy performed, assessed with the Banff classification

Exclusion Criteria:

  • Inadequate biopsy according to the Banff classification (number of glomeruli inferior less than seven)
  • Missing data for Banff lesion scores
  • Missing data for donor-specific antibody status
  • Missing data for C4d (degradation product of the classic complement pathway) staining

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Observational cohort
Observational prospective cohort of kidney transplant allograft biopsies

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rejection-related diagnoses reclassified by the computer-based tool
Time Frame: 1 day (At time of a kidney allograft biopsy)
Proportion of rejection-related diagnoses reclassified by the computer-based tool
1 day (At time of a kidney allograft biopsy)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Graft survival
Time Frame: 24 months post-kidney allograft biopsy
Comparison of graft survival after diagnosis by the computer-based tool
24 months post-kidney allograft biopsy

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Alexandre Loupy, MD, PhD, Paris Translational Centre for Organ Transplantation

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

January 1, 2016

Primary Completion (ANTICIPATED)

June 1, 2022

Study Completion (ANTICIPATED)

December 1, 2022

Study Registration Dates

First Submitted

March 23, 2022

First Submitted That Met QC Criteria

March 31, 2022

First Posted (ACTUAL)

April 1, 2022

Study Record Updates

Last Update Posted (ACTUAL)

April 11, 2022

Last Update Submitted That Met QC Criteria

April 1, 2022

Last Verified

April 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • Banff_Automation

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

The data analyzed during the current study are available from the Principal investigator on reasonable request including standards for General Data Protection Regulation and Institutional Review Board approval.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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