MRI-serum-based score accurately identifies liver transplant patients without rejection avoiding need for liver biopsy: A multisite European study.


Journal

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
ISSN: 1527-6473
Titre abrégé: Liver Transpl
Pays: United States
ID NLM: 100909185

Informations de publication

Date de publication:
23 Aug 2024
Historique:
received: 01 03 2024
accepted: 09 07 2024
medline: 22 8 2024
pubmed: 22 8 2024
entrez: 22 8 2024
Statut: aheadofprint

Résumé

Serum liver tests (serum tests) and histological assessment for T-cell mediated (TcM) rejection are essential for post-liver transplant monitoring. Liver biopsy carries risk of complications which are preferably avoided in low-risk patients. Multiparametric MRI (mpMRI) is a reliable non-invasive diagnostic method which quantifies liver disease activity and has prognostic utility. Our aim was to determine whether using mpMRI in combination with serum tests could noninvasively identify low-risk post-liver transplant patients who are eligible to avoid invasive liver biopsies. In a multicentre prospective study (RADIcAL2), including 131 adult and paediatric (children and adolescent) patients with previous liver transplant from the Netherlands, Portugal, and UK, concomitant mpMRI and liver biopsies were performed. Biopsies were centrally read by two expert pathologists. TcM rejection was assessed using BANFF global assessment (BANFF-GA). Diagnostic accuracy to discriminate no rejection vs. indeterminate or TcM liver transplant rejection was performed using area under the receiver operating characteristic curve (AUC). In this study, 52% of patients received a routine (protocol) biopsy whilst 48% had a biopsy for suspicion of pathology. 38% of patients had no rejection, while 62% had either indeterminate (21%) or TcM rejection (41%). However, there was a high inter-observer variability (0<Cohen's Kappa<0.85) across all histology scores. The combined score of mpMRI and serum tests had AUC 0.7 (NPV: 0.8) to identify those without either indeterminate or TcM rejection. Combining both imaging and serum biomarkers into a composite biomarker (imaging and serum biomarkers) has potential in monitoring the liver graft to effectively risk stratify patients and identify those most likely to benefit from a non-invasive diagnostic approach, reducing the need for liver biopsy.

Sections du résumé

BACKGROUND BACKGROUND
Serum liver tests (serum tests) and histological assessment for T-cell mediated (TcM) rejection are essential for post-liver transplant monitoring. Liver biopsy carries risk of complications which are preferably avoided in low-risk patients. Multiparametric MRI (mpMRI) is a reliable non-invasive diagnostic method which quantifies liver disease activity and has prognostic utility. Our aim was to determine whether using mpMRI in combination with serum tests could noninvasively identify low-risk post-liver transplant patients who are eligible to avoid invasive liver biopsies.
METHODS METHODS
In a multicentre prospective study (RADIcAL2), including 131 adult and paediatric (children and adolescent) patients with previous liver transplant from the Netherlands, Portugal, and UK, concomitant mpMRI and liver biopsies were performed. Biopsies were centrally read by two expert pathologists. TcM rejection was assessed using BANFF global assessment (BANFF-GA). Diagnostic accuracy to discriminate no rejection vs. indeterminate or TcM liver transplant rejection was performed using area under the receiver operating characteristic curve (AUC).
RESULTS RESULTS
In this study, 52% of patients received a routine (protocol) biopsy whilst 48% had a biopsy for suspicion of pathology. 38% of patients had no rejection, while 62% had either indeterminate (21%) or TcM rejection (41%). However, there was a high inter-observer variability (0<Cohen's Kappa<0.85) across all histology scores. The combined score of mpMRI and serum tests had AUC 0.7 (NPV: 0.8) to identify those without either indeterminate or TcM rejection.
CONCLUSION CONCLUSIONS
Combining both imaging and serum biomarkers into a composite biomarker (imaging and serum biomarkers) has potential in monitoring the liver graft to effectively risk stratify patients and identify those most likely to benefit from a non-invasive diagnostic approach, reducing the need for liver biopsy.

Identifiants

pubmed: 39171987
doi: 10.1097/LVT.0000000000000450
pii: 01445473-990000000-00433
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.

Auteurs

Jelte Schaapman (J)

Leiden University Medical Center, The Netherlands.

Elizabeth Shumbayawonda (E)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Miguel Castelo-Branco (M)

CIBIT (Coimbra Institute for Biomedical Imaging and Translational Research), Faculdade de Medicina, Instituto de Ciências Nucleares Aplicadas à Saúde, Universidade de Coimbra, Portugal.

Filipe Caseiro Alves (F)

CIBIT (Coimbra Institute for Biomedical Imaging and Translational Research), Faculdade de Medicina, Instituto de Ciências Nucleares Aplicadas à Saúde, Universidade de Coimbra, Portugal.

Tania Costa (T)

CIBIT (Coimbra Institute for Biomedical Imaging and Translational Research), Faculdade de Medicina, Instituto de Ciências Nucleares Aplicadas à Saúde, Universidade de Coimbra, Portugal.

Emer Fitzpatrick (E)

King's College London, United Kingdom.

Katie Tupper (K)

King's College London, United Kingdom.

Anil Dhawan (A)

King's College London, United Kingdom.

Maesha Deheragoda (M)

King's College London, United Kingdom.

Eva Sticova (E)

King's College London, United Kingdom.

Marika French (M)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Cayden Beyer (C)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Soubera Rymell (S)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Dimitar Tonev (D)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Hein Verspaget (H)

Leiden University Medical Center, The Netherlands.

Stefan Neubauer (S)

Radcliffe Department of Medicine, Oxford NIHR Biomedical Research Centre, Oxford, UK.

Rajarshi Banerjee (R)

Perspectum Diagnostics Ltd, Oxford, United Kingdom.

Hildo Lamb (H)

Leiden University Medical Center, The Netherlands.

Minneke Coenraad (M)

Leiden University Medical Center, The Netherlands.

Classifications MeSH