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Wellekens K, Koshy P, Naesens M. Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions. Curr Opin Nephrol Hypertens 2025; 34:185-190. [PMID: 39831593 DOI: 10.1097/mnh.0000000000001064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
PURPOSE OF REVIEW This review explores the variability in preimplantation kidney biopsy processing methods, emphasizing their impact on histological interpretation and allocation decisions driven by biopsy findings. With the increasing use of artificial intelligence (AI) in digital pathology, it is timely to evaluate whether these advancements can overcome current challenges and improve organ allocation amidst a growing organ shortage. RECENT FINDINGS Significant inconsistencies exist in biopsy methodologies, including core versus wedge sampling, frozen versus paraffin-embedded processing, and variability in pathologist expertise. These differences complicate study comparisons and limit the reproducibility of histological assessments. Emerging AI-driven tools and digital pathology show potential for standardizing assessments, enhancing reproducibility, and reducing dependence on expert pathologists. However, few studies have validated their clinical utility or demonstrated their predictive performance for long-term outcomes. SUMMARY Novel AI-driven tools hold promise for improving the standardization and accuracy of preimplantation kidney biopsy assessments. However, their clinical application remains limited due to a lack of proven associations with posttransplant outcomes and insufficient evaluation of predictive performance metrics. Future research should prioritize longitudinal studies using large-scale datasets, rigorous validation, and comprehensive assessments of predictive performance for both short- and long-term outcomes to fully establish their clinical utility.
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Affiliation(s)
- Karolien Wellekens
- Department of Microbiology, Immunology and Transplantation, KU Leuven
- Department of Nephrology and Kidney Transplantation
| | - Priyanka Koshy
- Department of Microbiology, Immunology and Transplantation, KU Leuven
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven
- Department of Nephrology and Kidney Transplantation
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Tan J, Zhang H, Liu L, Li J, Fu Q, Li Y, Wu C, Deng R, Wang J, Xu B, Chen W, Yang S, Wang C. Value of original and modified pathological scoring systems for prognostic prediction in paraffin-embedded donor kidney core biopsy. Ren Fail 2024; 46:2314630. [PMID: 38345067 PMCID: PMC10863519 DOI: 10.1080/0886022x.2024.2314630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 01/31/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND No study has validated, compared and adapted scoring systems for prognosis prediction based on donor kidney core biopsy (CB), with less glomeruli than wedge biopsy. METHODS A total of 185 donor kidney CB specimens were reviewed using seven scoring systems. The association between the total score, item scores, score-based grading, and allograft prognosis was investigated. In specimens with less than ten glomeruli (88/185, 47.6%), scoring systems were modified by adjusting weights of the item scores. RESULTS The Maryland aggregate pathology index (MAPI) score-based grading and periglomerular fibrosis (PGF) associated with delayed graft function (DGF) (Grade: OR = 1.59, p < 0.001; PGF: OR = 1.06, p = 0.006). Total score, score-based grading and chronic lesion score in scoring systems associated with one-year and 3-year eGFR after transplantation. Total-score-based models had similar predictive capacities for eGFR in all scoring systems, except MAPI and Ugarte. Score of glomerulosclerosis (GS), interstitial fibrosis (IF), tubular atrophy (TA), and arteriolar hyalinosis (AH) had good eGFR predictive capacities. In specimens with less than ten glomeruli, modified scoring systems had better eGFR predictive capacities than original scoring systems. CONCLUSIONS Scoring systems could predict allograft prognosis in paraffin-embedded CB with ten more glomeruli. A simple and pragmatic scoring system should include GS, IF, TA and AH, with weights assigned based on predictive capacity for prognosis. Replacing GS scores with tubulointerstitial scores could significantly improve the predictive capacity of eGFR. The conclusion should be further validated in frozen section.
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Affiliation(s)
- Jinghong Tan
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huanxi Zhang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Longshan Liu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory on Organ Donation and Transplant Immunology, Guangzhou, China
- Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), Guangzhou, China
| | - Jun Li
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qian Fu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yan Li
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chenglin Wu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ronghai Deng
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiali Wang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Bowen Xu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wenfang Chen
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shicong Yang
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Changxi Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Ayorinde JO, Loizeau X, Bardsley V, Thomas SA, Romanchikova M, Samoshkin A, Pettigrew GJ. Measurement Matters: A Metrological Approach to Renal Preimplantation Biopsy Evaluation to Address Uncertainty in Organ Selection. Transplant Direct 2024; 10:e1708. [PMID: 39399062 PMCID: PMC11469905 DOI: 10.1097/txd.0000000000001708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 07/07/2024] [Accepted: 07/23/2024] [Indexed: 10/15/2024] Open
Abstract
Background Preimplantation biopsy combines measurements of injury into a composite index to inform organ acceptance. The uncertainty in these measurements remains poorly characterized, raising concerns variability may contribute to inappropriate clinical decisions. Methods We adopted a metrological approach to evaluate biopsy score reliability. Variability was assessed by performing repeat biopsies (n = 293) on discarded allografts (n = 16) using 3 methods (core, punch, and wedge). Uncertainty was quantified using a bootstrapping analysis. Observer effects were controlled by semi-blinded scoring, and the findings were validated by comparison with standard glass evaluation. Results The surgical method strongly determined the size (core biopsy area 9.04 mm2, wedge 37.9 mm2) and, therefore, yield (glomerular yield r = 0.94, arterial r = 0.62) of each biopsy. Core biopsies yielded inadequate slides most frequently. Repeat biopsy of the same kidney led to marked variation in biopsy scores. In 10 of 16 cases, scores were contradictory, crossing at least 1 decision boundary (ie, to transplant or to discard). Bootstrapping demonstrated significant uncertainty associated with single-slide assessment; however, scores were similar for paired kidneys from the same donor. Conclusions Our investigation highlights the risks of relying on single-slide assessment to quantify organ injury. Biopsy evaluation is subject to uncertainty, meaning each slide is better conceptualized as providing an estimate of the kidney's condition rather than a definitive result. Pooling multiple assessments could improve the reliability of biopsy analysis, enhancing confidence. Where histological quantification is necessary, clinicians should seek to develop new protocols using more tissue and consider automated methods to assist pathologists in delivering analysis within clinical time frames.
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Affiliation(s)
- John O.O. Ayorinde
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Xavier Loizeau
- National Physical Laboratory, Teddington, United Kingdom
| | - Victoria Bardsley
- Department of Histopathology, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | | | | | - Alex Samoshkin
- Office for Translational Research, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Gavin J. Pettigrew
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
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Eccher A, L'Imperio V, Pantanowitz L, Cazzaniga G, Del Carro F, Marletta S, Gambaro G, Barreca A, Becker JU, Gobbo S, Della Mea V, Alberici F, Pagni F, Dei Tos AP. Galileo-an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies. J Nephrol 2024:10.1007/s40620-024-02094-4. [PMID: 39356416 DOI: 10.1007/s40620-024-02094-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 08/25/2024] [Indexed: 10/03/2024]
Abstract
BACKGROUND Pre-transplant procurement biopsy interpretation is challenging, also because of the low number of renal pathology experts. Artificial intelligence (AI) can assist by aiding pathologists with kidney donor biopsy assessment. Herein we present the "Galileo" AI tool, designed specifically to assist the on-call pathologist with interpreting pre-implantation kidney biopsies. METHODS A multicenter cohort of whole slide images acquired from core-needle and wedge biopsies of the kidney was collected. A deep learning algorithm was trained to detect the main findings evaluated in the pre-implantation setting (normal glomeruli, globally sclerosed glomeruli, ischemic glomeruli, arterioles and arteries). The model obtained on the Aiforia Create platform was validated on an external dataset by three independent pathologists to evaluate the performance of the algorithm. RESULTS Galileo demonstrated a precision, sensitivity, F1 score and total area error of 81.96%, 94.39%, 87.74%, 2.81% and 74.05%, 71.03%, 72.5%, 2% in the training and validation sets, respectively. Galileo was significantly faster than pathologists, requiring 2 min overall in the validation phase (vs 25, 22 and 31 min by 3 separate human readers, p < 0.001). Galileo-assisted detection of renal structures and quantitative information was directly integrated in the final report. CONCLUSIONS The Galileo AI-assisted tool shows promise in speeding up pre-implantation kidney biopsy interpretation, as well as in reducing inter-observer variability. This tool may represent a starting point for further improvements based on hard endpoints such as graft survival.
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Affiliation(s)
- Albino Eccher
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Vincenzo L'Imperio
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Monza, Italy.
| | - Liron Pantanowitz
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Giorgio Cazzaniga
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Monza, Italy
| | - Fabio Del Carro
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Monza, Italy
| | | | - Giovanni Gambaro
- Division of Nephrology, Department of Medicine, University of Verona, Verona, Italy
| | - Antonella Barreca
- Pathology Unit, Città della Salute e della Scienza di Torino University Hospital, Turin, Italy
| | - Jan Ulrich Becker
- Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | - Stefano Gobbo
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Vincenzo Della Mea
- Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy
| | - Federico Alberici
- Division of Nephrology and Dialysis, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia and ASST-Spedali Civili of Brescia, Brescia, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Monza, Italy
| | - Angelo Paolo Dei Tos
- Surgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua School of Medicine, Padua, Italy
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Zaza G, Cucchiari D, Becker JU, de Vries APJ, Eccher A, Florquin S, Kers J, Rabant M, Rossini M, Pengel L, Marson L, Furian L. European Society for Organ Transplantation (ESOT)-TLJ 3.0 Consensus on Histopathological Analysis of Pre-Implantation Donor Kidney Biopsy: Redefining the Role in the Process of Graft Assessment. Transpl Int 2023; 36:11410. [PMID: 37470063 PMCID: PMC10353313 DOI: 10.3389/ti.2023.11410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/31/2023] [Indexed: 07/21/2023]
Abstract
The ESOT TLJ 3.0. consensus conference brought together leading experts in transplantation to develop evidence-based guidance on the standardization and clinical utility of pre-implantation kidney biopsy in the assessment of grafts from Expanded Criteria Donors (ECD). Seven themes were selected and underwent in-depth analysis after formulation of PICO (patient/population, intervention, comparison, outcomes) questions. After literature search, the statements for each key question were produced, rated according the GRADE approach [Quality of evidence: High (A), Moderate (B), Low (C); Strength of Recommendation: Strong (1), Weak (2)]. The statements were subsequently presented in-person at the Prague kick-off meeting, discussed and voted. After two rounds of discussion and voting, all 7 statements reached an overall agreement of 100% on the following issues: needle core/wedge/punch technique representatively [B,1], frozen/paraffin embedded section reliability [B,2], experienced/non-experienced on-call renal pathologist reproducibility/accuracy of the histological report [A,1], glomerulosclerosis/other parameters reproducibility [C,2], digital pathology/light microscopy in the measurement of histological variables [A,1], special stainings/Haematoxylin and Eosin alone comparison [A,1], glomerulosclerosis reliability versus other histological parameters to predict the graft survival, graft function, primary non-function [B,1]. This methodology has allowed to reach a full consensus among European experts on important technical topics regarding pre-implantation biopsy in the ECD graft assessment.
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Affiliation(s)
- Gianluigi Zaza
- Nephrology, Dialysis and Transplantation Unit, Department of Medical and Surgical Sciences, University/Hospital of Foggia, Foggia, Italy
| | - David Cucchiari
- Department of Nephrology and Kidney Transplantation, Hospital Clínic, Barcelona, Spain
| | - Jan Ulrich Becker
- Institut für Pathologie und Molekularpathologie, University Hospital of Cologne, Cologne, Germany
| | - Aiko P. J. de Vries
- Division of Nephrology, Department of Medicine, Transplant Center, Leiden University Medical Center, Leiden, Netherlands
| | - Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Sandrine Florquin
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Jesper Kers
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Marion Rabant
- Department of Pathology, Necker-Enfants Malades University Hospital, Paris, France
| | - Michele Rossini
- Nephrology, Dialysis and Transplantation Unit, University/Hospital of Bari, Bari, Italy
| | - Liset Pengel
- Centre for Evidence in Transplantation, Oxford, United Kindom
| | - Lorna Marson
- Department of Surgery, University of Edinburgh, Edinburgh, United Kingdom
| | - Lucrezia Furian
- Kidney and Pancreas Transplantation Unit, University of Padova, Padova, Italy
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Long-standing donor diabetes and pathologic findings are associated with shorter allograft survival in recipients of kidney transplants from diabetic donors. Mod Pathol 2022; 35:128-134. [PMID: 34584213 DOI: 10.1038/s41379-021-00927-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 11/09/2022]
Abstract
Approximately 6% of deceased kidney donors (DKDs) are diabetic; their kidneys may be associated with worse allograft survival, but published studies suggest that recipient diabetes status has a greater impact on mortality and survival. Since biopsy findings are the most common reason for organ discard, we sought to understand histologic and clinical factors that influence graft survival in patients who receive a kidney from a diabetic DKD. We retrospectively reviewed our institutional experience from 2005 to 2019, and re-evaluated pre-implantation and earliest post-transplant biopsies. Histologic findings were compared against a control cohort of non-diabetic DKD. Of 829 adult DKD transplants, 37 (4.5%) came from diabetic donors. There was no significant difference in diabetic vs. non-diabetic DKD graft survival for all-comers; however, when stratified by duration of donor diabetes, donor diabetes ≥6 years was associated with graft failure. In 25 patients with post-transplant biopsies available, diabetic DKD allografts had significantly greater non-glomerular chronic injury than non-diabetic DKD allografts. Moderate arteriolar hyalinosis (in 24%), moderate tubular atrophy and interstitial fibrosis (IFTA, in 36%), and diabetic glomerulopathy (in 24%) on early post-transplant biopsy were associated with allograft failure. Pre-implantation frozen section discrepancies were more common in long-standing donor diabetes, and arteriolar hyalinosis and IFTA scores on frozen accurately prognosticated graft loss. There was no morphologic improvement in lesions of diabetic nephropathy on short-term follow-up. In conclusion, donor diabetes ≥6 years, and histologic findings on frozen section and early post-transplant biopsy are associated with diabetic DKD allograft loss.
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Jadav P, Mohan S, Husain SA. Role of deceased donor kidney procurement biopsies in organ allocation. Curr Opin Nephrol Hypertens 2021; 30:571-576. [PMID: 34545039 PMCID: PMC8490331 DOI: 10.1097/mnh.0000000000000746] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW There has been an increased emphasis by the transplant community and the federal government to increase the utilization of deceased donor kidneys. Procurement biopsies during allocation are the most common reason for kidney discards. This manuscript reviews the evidence of procurement biopsies practices and utility. RECENT FINDINGS Procurement biopsies are performed in over half of all the kidneys recovered in the United States and account for more than one third of the kidney discards. However, there is a significant heterogeneity across the organ procurement organizations regarding the indications for biopsy, biopsy techniques and their reporting. Procurement biopsy findings are not reproducible and poorly correlate to postimplantation histology, although reasons for these limitations are not clear. Procurement biopsy findings are not associated with posttransplant outcomes after accounting for readily available donor clinical characteristics. SUMMARY Procurement biopsies contribute to deceased donor kidney discards but do not predict posttransplant outcomes. Research to establish the best practices for procurement biopsies is needed to improve organ utilization.
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Affiliation(s)
- Paresh Jadav
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY
- The Columbia University Renal Epidemiology (CURE) Group, New York, NY
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Husain SA, Shah V, Alvarado Verduzco H, King KL, Brennan C, Batal I, Coley SM, Hall IE, Stokes MB, Dube GK, Crew RJ, Perotte A, Natarajan K, Carpenter D, Sandoval PR, Santoriello D, D’Agati V, Cohen DJ, Ratner L, Markowitz G, Mohan S. Impact of Deceased Donor Kidney Procurement Biopsy Technique on Histologic Accuracy. Kidney Int Rep 2020; 5:1906-1913. [PMID: 33163711 PMCID: PMC7609887 DOI: 10.1016/j.ekir.2020.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/27/2020] [Accepted: 08/04/2020] [Indexed: 11/26/2022] Open
Abstract
Introduction The factors that influence deceased donor kidney procurement biopsy reliability are not well established. We examined the impact of biopsy technique and pathologist training on procurement biopsy accuracy. Methods We retrospectively identified all deceased donor kidney-only transplants at our center from 2006 to 2016 with both procurement and reperfusion biopsies performed and information available on procurement biopsy technique and pathologist (n = 392). Biopsies were scored using a previously validated system, classifying “suboptimal” histology as the presence of at least 1 of the following: glomerulosclerosis ≥11%, moderate/severe interstitial fibrosis/tubular atrophy, or moderate/severe vascular disease. We calculated relative risk ratios (RRR) to determine the influence of technique (core vs. wedge) and pathologist (renal vs. nonrenal) on concordance between procurement and reperfusion biopsy histologic classification. Results A total of 171 (44%) procurement biopsies used wedge technique, and 221 (56%) used core technique. Results of only 36 biopsies (9%) were interpreted by renal pathologists. Correlation between procurement and reperfusion glomerulosclerosis was poor for both wedge (r2 = 0.11) and core (r2 = 0.14) biopsies. Overall, 34% of kidneys had discordant classification on procurement versus reperfusion biopsy. Neither biopsy technique nor pathologist training was associated with concordance between procurement and reperfusion histology, but a larger number of sampled glomeruli was associated with a higher likelihood of concordance (adjusted RRR = 1.12 per 10 glomeruli, 95% confidence interval = 1.04−1.22). Conclusions Biopsy technique and pathologist training were not associated with procurement biopsy histologic accuracy in this retrospective study. Prospective trials are needed to determine how to optimize procurement biopsy practices.
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Affiliation(s)
- S. Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Correspondence: S. Ali Husain, Division of Nephrology, Department of Medicine, 622 West 168th Street PH4-124, New York, New York 10032, USA.
| | - Vaqar Shah
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Hector Alvarado Verduzco
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Kristen L. King
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Corey Brennan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Shana M. Coley
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Isaac E. Hall
- Department of Medicine, Division of Nephrology and Hypertension, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - M. Barry Stokes
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Geoffrey K. Dube
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - R. John Crew
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Adler Perotte
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Dustin Carpenter
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - P. Rodrigo Sandoval
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Dominick Santoriello
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Vivette D’Agati
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - David J. Cohen
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Lloyd Ratner
- Department of Surgery, Columbia University College of Physicians & Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Glen Markowitz
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital, New York, New York, USA
- The Columbia University Renal Epidemiology (CURE) Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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Stewart ZA, Shah SA, Formica RN, Kandaswamy R, Paramesh AS, Friedman J, Squires R, Cooper M, Axelrod DA. A call to action: Feasible strategies to reduce the discard of transplantable kidneys in the United States. Clin Transplant 2020; 34:e13990. [DOI: 10.1111/ctr.13990] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/16/2020] [Accepted: 05/19/2020] [Indexed: 12/18/2022]
Affiliation(s)
- Zoe A. Stewart
- Department of Surgery New York University Medical Center New York New York USA
| | - Shimul A. Shah
- Department of Surgery University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Richard N. Formica
- Department of Medicine Yale School of Medicine New Haven Connecticut USA
| | - Raja Kandaswamy
- Department of Surgery University of Minnesota Minneapolis Minnesota USA
| | - Anil S. Paramesh
- Department of Surgery Tulane University School of Medicine New Orleans Louisiana USA
| | - Jessica Friedman
- Department of Surgery Tulane University School of Medicine New Orleans Louisiana USA
| | - Ronald Squires
- Association of Organ Procurement Organizations Vienna Virginia USA
| | - Matthew Cooper
- Medstar Georgetown Transplant Institute Washington District of Columbia USA
| | - David A. Axelrod
- Department of Surgery School of Medicine University of Iowa Iowa City Iowa USA
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Hypothermic Machine Perfusion as an Alternative to Biopsy Assessment in Transplantation of Kidneys Donated After Cardiocirculatory Death: A Pilot Study. Transplant Proc 2019; 51:2890-2898. [DOI: 10.1016/j.transproceed.2019.02.069] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 02/17/2019] [Indexed: 11/23/2022]
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Salvadori M, Tsalouchos A. Histological and clinical evaluation of marginal donor kidneys before transplantation: Which is best? World J Transplant 2019; 9:62-80. [PMID: 31523629 PMCID: PMC6715576 DOI: 10.5500/wjt.v9.i4.62] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/21/2019] [Accepted: 07/30/2019] [Indexed: 02/05/2023] Open
Abstract
Organ shortage represents one of the major limitations to the development of kidney transplantation. To increase the donor pool and to answer the ever increasing kidney request, physicians are recurring to marginal kidneys as kidneys from older donors, from hypertensive or diabetic donors and from non-heart beating donors. These kidneys are known to have frequently a worse outcome in the recipients. To date major problem is to evaluate such kidneys in order to use or to discard them before transplantation. The use of such kidneys create other relevant question as whether to use them as single or dual transplant and to allocate them fairly according transplant programs. The pre-transplant histological evaluation, the clinical evaluation of the donor or both the criteria joined has been used and according the time each criterion prevailed over the others. Aim of this review has been to examine the advantages and the drawbacks of any criterion and how they have changed with time. To date any criterion has several limitations and several authors have argued for the development of new guidelines in the field of the kidney evaluation for transplantation. Several authors argue that the use of omic technologies should improve the organ evaluation and studies are ongoing to evaluate these technologies either in the donor urine or in the biopsies taken before transplantation.
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Affiliation(s)
- Maurizio Salvadori
- Department of Transplantation Renal Unit, Careggi University Hospital, viale Pieraccini 18, Florence 50139, Italy
| | - Aris Tsalouchos
- Nephrology and Dialysis Unit, Saints Cosmas and Damian Hospital, Via Cesare Battisti, Pescia (PT) 2-51017, Italy
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Ayorinde JO, Summers DM, Pankhurst L, Laing E, Deary AJ, Hemming K, Wilson EC, Bardsley V, Neil DA, Pettigrew GJ. PreImplantation Trial of Histopathology In renal Allografts (PITHIA): a stepped-wedge cluster randomised controlled trial protocol. BMJ Open 2019; 9:e026166. [PMID: 30659043 PMCID: PMC6340453 DOI: 10.1136/bmjopen-2018-026166] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Most potential kidney transplant donors in the UK are aged over 60 years, yet increasing donor age is associated with poorer graft survival and function. Urgent preimplantation kidney biopsy can identify chronic injury, and may aid selection of better 'quality' kidneys from this group. However, the impact of biopsy on transplant numbers remains unproven. The PreImplantation Trial of Histopathology In renal Allografts (PITHIA) study will assess whether the introduction of a national, 24 hours, digital histopathology service increases the number, and improves outcomes, of kidneys transplanted in the UK from older deceased donors. METHODS AND ANALYSIS PITHIA is an open, multicentre, stepped-wedge cluster randomised study, involving all UK adult kidney transplant centres. At 4-monthly intervals, a group of 4-5 randomly selected clusters (transplant centres) will be given access to remote, urgent, digital histopathology (total intervention period, 24 months). The trial has two primary end points: it is powered for an 11% increase in the proportion of primary kidney offers from deceased donors aged over 60 years that are transplanted, and a 6 mL/min increase in the estimated glomerular filtration rate of recipients at 12 months post-transplant. This would equate to an additional 120 kidney transplants performed in the UK annually. Trial outcome data will be collected centrally via the UK Transplant Registry held by NHS Blood and Transplant (NHSBT) and will be analysed using mixed effects models allowing for clustering within centres and adjusting for secular trends. An accompanying economic evaluation will estimate the cost-effectiveness of the service to the National Health Service. ETHICS AND DISSEMINATION The study has been given favourable ethical opinion by the Cambridge South Research Ethics Committee and is approved by the Health Research Authority. We will present our findings at key transplant meetings, publish results within 4 years of the trial commencing and support volunteers at renal patient groups to disseminate the trial outcome. TRIAL REGISTRATION NUMBER ISRCTN11708741; Pre-results.
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Affiliation(s)
| | - Dominic M Summers
- Department of Surgery, University of Cambridge, Cambridge, UK
- NHS Blood and Transplant, Watford, Hertfordshire, UK
| | | | - Emma Laing
- Clinical Trials Unit, NHS Blood and Transplant, Cambridge, UK
| | - Alison J Deary
- NHS Blood and Transplant Clinical Studies Unit, Cambridge, UK
| | - Karla Hemming
- Department of Public Health, University of Birmingham, Birmingham, UK
| | - Edward Cf Wilson
- Cambridge Centre for Health Services Research, University of Cambridge, Cambridge, UK
| | - Victoria Bardsley
- Department of Histopathology, University of Cambridge, Cambridge, UK
| | - Desley A Neil
- Department of Histopathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
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13
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Huang HW, Liu D, Hu JM, Xu SY, Zhuo SM, Liu YG, Zhao M. Application of Nonlinear Optical Microscopic Imaging Technology for Quality Assessment of Donor Kidneys. Transplant Proc 2018; 50:3128-3134. [PMID: 30577178 DOI: 10.1016/j.transproceed.2018.05.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 04/30/2018] [Accepted: 05/23/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Nonlinear optical microscopic (NLOM) imaging technique shows its high resolution imaging features in histocytology. The purpose of this study was to investigate NLOM imaging technique as a useful tool for a donor kidney quality assessment. MATERIALS AND METHODS Eighty-three pretransplant kidney biopsies from adult donors were analyzed retrospectively. Each specimen was paraffin-embedded and sectioned into 2 consecutive 5-μm thick sections. One section was stained with Masson trichrome, and the other was left unstained for NLOM imaging using second harmonic generation combined with two-photon excited fluorescence (SHG/TPEF). The pretransplant kidney quality was assessed by an experienced pathologist using the Remuzzi scoring system, which characterizes renal tissue morphology into 4 aspects: tubular atrophy, interstitial fibrosis, glomerulosclerosis, and vascular injury. The K coefficient was used to measure the consistency of the Remuzzi scores between conventional Masson trichrome stained images and SHG/TPEF images. RESULTS NLOM imaging technology can capture high-resolution tissue images from unstained renal tissue, is easy to operate, and shortens time-consuming histological processing procedures. No significant differences (P > .05) were found between the Remuzzi scores of the SHG/TPEF images and the Masson trichrome stained images. The high κ coefficients (0.804-0.895) showed a good consistency between these 2 techniques. CONCLUSION The NLOM technique is suitable for renal tissue imaging and could potentially be used for routine pretransplant kidney evaluation in clinical settings.
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Affiliation(s)
- H W Huang
- Department of Transplantation, The People's Hospital of Guangxi Zhuang Autonomous Region, NanNing, China
| | - D Liu
- Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - J M Hu
- Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - S Y Xu
- Singapore-MIT Alliance, Computational and System Biology Program, Singapore
| | - S M Zhuo
- Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou, China
| | - Y G Liu
- Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
| | - M Zhao
- Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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14
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Bissolati M, Gazzetta PG, Caldara R, Guarneri G, Adamenko O, Giannone F, Mazza M, Maggi G, Tomanin D, Rosati R, Secchi A, Socci C. Renal Resistance Trend During Hypothermic Machine Perfusion Is More Predictive of Postoperative Outcome Than Biopsy Score: Preliminary Experience in 35 Consecutive Kidney Transplantations. Artif Organs 2018; 42:714-722. [DOI: 10.1111/aor.13117] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 12/18/2017] [Accepted: 12/28/2017] [Indexed: 12/20/2022]
Affiliation(s)
- Massimiliano Bissolati
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Paolo Giovanni Gazzetta
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Rossana Caldara
- Transplant Medicine; San Raffaele Scientific Institute; Milan Italy
| | - Giovanni Guarneri
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Olga Adamenko
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Fabio Giannone
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Michele Mazza
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Giulia Maggi
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Deborah Tomanin
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Riccardo Rosati
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
| | - Antonio Secchi
- Transplant Medicine; San Raffaele Scientific Institute; Milan Italy
| | - Carlo Socci
- Transplant Surgery Unit, Department of Surgery; San Raffaele Scientific Institute; Milan Italy
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Rathore RS, Mehta N, Mehta SB, Babu M, Bansal D, Pillai BS, Sam MP, Krishnamoorthy H. Can zero-hour cortical biopsy predict early graft outcomes after living donor renal transplantation? Can Urol Assoc J 2017; 11:E437-E440. [PMID: 29072572 PMCID: PMC5698023 DOI: 10.5489/cuaj.4506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The aim of this study was to identify relevance of subclinical pathological findings in the kidneys of living donors and correlate these with early graft renal function. METHODS This was a prospective study on 84 living donor kidney transplant recipients over a period of two years. In all the donors, cortical wedge biopsy was taken and sent for assessment of glomerular, mesangial, and tubule status. The graft function of patients with normal histology was compared with those of abnormal histological findings at one, three, and six months, and one year post-surgery. RESULTS Most abnormal histological findings were of mild degree. Glomerulosclerosis (GS, 25%), interstitial fibrosis (IF, 13%), acute tubular necrosis (ATN 5%), and focal tubal atrophy (FTA, 5%) were the commonly observed pathological findings in zero-hour biopsies. Only those donors who had histological changes of IF and ATN showed progressive deterioration of renal function at one month, three months, six months, and one year post-transplantation. In donors with other histological changes, no significant effect on graft function was observed. CONCLUSIONS Zero-hour cortical biopsy gave us an idea of the general status of the donor kidney and presence or absence of subclinical pathological lesions. A mild degree of subclinical and pathological findings on zero-hour biopsy did not affect early graft renal function in living donor kidney transplantation. Zero-hour cortical biopsy could also help in discriminating donor-derived lesions from de novo alterations in the kidney that could happen subsequently.
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Affiliation(s)
| | - Nisarg Mehta
- Department of Urology, Lourdes Hospital, Kochi, India
| | | | - Manas Babu
- Department of Urology, Lourdes Hospital, Kochi, India
| | - Devesh Bansal
- Department of Urology, Lourdes Hospital, Kochi, India
| | | | - Mohan P. Sam
- Department of Urology, Lourdes Hospital, Kochi, India
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