| Literature DB >> 32463180 |
Alexandre Loupy1, Mark Haas2, Candice Roufosse3, Maarten Naesens4,5, Benjamin Adam6, Marjan Afrouzian7, Enver Akalin8, Nada Alachkar9, Serena Bagnasco10, Jan U Becker11, Lynn D Cornell12, Marian C Clahsen-van Groningen13, Anthony J Demetris14, Duska Dragun15, Jean-Paul Duong van Huyen1, Alton B Farris16, Agnes B Fogo17, Ian W Gibson18, Denis Glotz19, Juliette Gueguen1, Zeljko Kikic20, Nicolas Kozakowski20, Edward Kraus9, Carmen Lefaucheur19, Helen Liapis21, Roslyn B Mannon22, Robert A Montgomery23, Brian J Nankivell24, Volker Nickeleit25, Peter Nickerson26, Marion Rabant1, Lorraine Racusen10, Parmjeet Randhawa14, Blaise Robin1, Ivy A Rosales27, Ruth Sapir-Pichhadze28, Carrie A Schinstock29, Daniel Seron30, Harsharan K Singh25, Rex N Smith27, Mark D Stegall31, Adriana Zeevi14, Kim Solez6, Robert B Colvin27, Michael Mengel6.
Abstract
The XV. Banff conference for allograft pathology was held in conjunction with the annual meeting of the American Society for Histocompatibility and Immunogenetics in Pittsburgh, PA (USA) and focused on refining recent updates to the classification, advances from the Banff working groups, and standardization of molecular diagnostics. This report on kidney transplant pathology details clarifications and refinements to the criteria for chronic active (CA) T cell-mediated rejection (TCMR), borderline, and antibody-mediated rejection (ABMR). The main focus of kidney sessions was on how to address biopsies meeting criteria for CA TCMR plus borderline or acute TCMR. Recent studies on the clinical impact of borderline infiltrates were also presented to clarify whether the threshold for interstitial inflammation in diagnosis of borderline should be i0 or i1. Sessions on ABMR focused on biopsies showing microvascular inflammation in the absence of C4d staining or detectable donor-specific antibodies; the potential value of molecular diagnostics in such cases and recommendations for use of the latter in the setting of solid organ transplantation are presented in the accompanying meeting report. Finally, several speakers discussed the capabilities of artificial intelligence and the potential for use of machine learning algorithms in diagnosis and personalized therapeutics in solid organ transplantation.Entities:
Keywords: classification systems: Banff classification; clinical decision-making; clinical research/practice; kidney (allograft) function/dysfunction; kidney transplantation/nephrology; molecular biology: mRNA/mRNA expression; pathology/histopathology; rejection; translational research/science
Mesh:
Year: 2020 PMID: 32463180 PMCID: PMC7496245 DOI: 10.1111/ajt.15898
Source DB: PubMed Journal: Am J Transplant ISSN: 1600-6135 Impact factor: 8.086
Updates of Banff working groups
| Working group | Leaders | Issues to address | Group progress/future plans |
|---|---|---|---|
| TCMR |
V. Nickeleit P. Randhawa | Integration of i‐IFTA into classification; reevaluate thresholds for i and t and possible addition of other findings (eg, edema) to TCMR diagnostic criteria | A multicenter clinicopathologic study aimed at addressing the listed issues is in progress. To date biopsies and accompanying clinical data from 154 patients with “pure” (no ABMR) acute TCMR/borderline, 18 with chronic active TCMR, 55 with no rejection. and 31 patients with stable graft function (not biopsied) have been accrued into the study cohort. Data analysis and slide review have commenced, but more cases, especially cases of chronic active TCMR and control cases with complete clinical data for statistical analysis of TCMR/borderline thresholds, are required. These cases need to have documented absence of DSA and sufficient follow‐up in addition to detailed clinical information. |
| Sensitized |
L. Cornell R. Sapir‐Pichhadze E. Kraus S. Bagnasco C. Schinstock D. Dadhania | Define criteria for highly sensitized patients (HS), determine consensus for what personnel and facilities are needed for centers to perform transplantation in HS recipients, standardize the definitions related to management of sensitized transplant recipients. Evaluate current practices of centers performing renal transplants in sensitized recipients. Evaluate how clinicians interpret and apply Banff nomenclature, and recommend changes to wording of classification to optimize the use of Banff data in clinical care of HS patients. | Survey regarding clinical practice related to highly sensitized (HS) patients indicates that clinicians often fail to recognize chronic elements of ABMR (eg, cg > 0) and are more likely to consider a diagnosis of chronic active ABMR if C4d is negative, even if there is no TG, PTCML, or IFTA. The term “acute” is confusing in ABMR, and consequently it was removed from the Banff ABMR classification in 2017. |
| Molecular diagnostics |
M. Mengel R. Colvin | Develop consensus discovery gene panel, which becomes available to the whole transplant community as standardized commercially available reagents. Design and conduct collaborative studies to validate clinical utility of molecular diagnostics in transplant biopsies. | Launch of a consensus based, commercially available (NanoString Inc), standardized Banff Human Organ Transplant (B‐HOT) discovery gene panel, which can reproducibly be applied to FFPE samples across organs and in multicenter studies. Development of an open source data sharing platform to exchange results from studies using the B‐HOT panel and to allow multicenter and multiorgan validation of clinical utility of molecular diagnostics in transplant biopsies. Details given in a separate meeting report. |
| HIV+/HIV+ renal transplants | S. Bagnasco | Compare kidney transplants from HIV+ and HIV‐negative donors to HIV+ recipients with regard to graft function and graft survival, · incidence, type and pathologic features of allograft lesions including rejection, recurrent and de novo HIV‐related/‐unrelated renal disease; injury associated with antiretroviral and immunosuppressive treatment. | Based on preliminary data from the pilot phase of the US HOPE prospective multicenter trial for HIV+ to HIV+ kidney transplantation, TCMR is predominant, rejection appears to be unrelated to donor HIV status and may possibly be related to the type of immunosuppression. Additional data will become available with ongoing trial enrollment in upcoming years. The results of protocol/indication biopsies (archived as digital images), combined with comprehensive clinical information will be analyzed to expand these preliminary observations. |
| Electron microscopy (EM) |
C. Roufosse H. K Singh | Recommendations for the sampling and processing of tissue for EM and reporting of EM findings in transplant biopsies. Harmonize terminology with a list of definitions for cg1a and PTCML. Reduce inter‐observer variability in the use of uniform guidelines for the evaluation of TG and PTCML Multicenter study of the natural history, associations and the predictive value of glomerular and peritubular capillary ultrastructural features (endothelium; basement membrane; electron dense deposits). | Consensus document produced at Banff 2019 meeting. Results of initial survey of interobserver variability were poor (presented at Banff 2017); a new comprehensive teaching module will focus on the most problematic lesions gleaned from the 2017 survey; Goal is to improve the uniform use of currently published criteria and the inter‐observer variability. Research proposal presented at Banff 2019: pilot test case data collection in 2020; final study design to be agreed upon before initiation of the full study in 2020‐21. Goal is the multicenter validation of ultrastructural features through correlation with outcomes. |
| Thrombotic microangiopathy (TMA) |
M. Afrouzian H. Liapis | Establish uniform diagnostic criteria for TMA. Determine the frequency with which TMA occurs in renal allograft biopsy specimens. Determine if there are specific features of TMA in renal allografts that help resolve the differential diagnosis of the TMA when the cause is not readily apparent from clinical history, DSA, C4d, etc | Using Delphi methodology, two phases were designed: Phase I (with pathologists) and Phase II (with clinicians). Phase I (6/9 rounds completed) involving 23 centers; 1. We collected 37 transplant biopsies, and after 6 Delphi rounds, narrowed down 331 criteria to 61; 2. We classified the criteria into 4 classes (Pathology, Clinical, Laboratory and Differential Diagnosis) and 12 categories reflecting positive and negative criteria for LM, IF, EM, clinical, laboratory and genetic criteria; 3. Participants validated the 37 cases in 2 validation rounds. Results showed that 75% of the participants reached consensus in over 75% of cases, using the 61 criteria. 4. We identified the reasons for over‐ and under‐diagnosis of TMA. Results of rounds 7, 8 and 9 are pending. Phase II: Recruitment of participants for the clinical Delphi starting January 2020. Future efforts will focus on completing the 3 remaining Delphi rounds (Phase I), soliciting nephrologists’ input (Phase II), combining Phase I and II results, dissecting diagnostic issues that emerged during Phase I, such as ABMR mimicking TMA and completing the molecular studies to generate the final consensus guidelines. The WG also plans to collaborate with groups that are working on native kidney TMA to compare results and generate a consensus document. |
| Recurrent glomerular disease |
N. Alachkar S. Bagnasco | Establish pathologic guidelines for early recurrence of glomerular diseases, including FSGS, IgA nephropathy, membranous nephropathy, MPGN/C3GN. What are frequencies, clinical manifestations, and pathologic characteristics of recurrent/de novo glomerular diseases, and can any of these predict recurrence and/or graft outcomes? Understand the pathologic changes of recurrent glomerular diseases occurring concurrently with rejection and other transplant‐associated lesions. |
Biopsy specimens and clinical data are now being collected from 10 international centers. Preliminary results confirm IgA nephropathy and FSGS as the most prevalent recurrent diseases. Combine all data to create a posttransplant GN registry. Future directions:
Correlate GN findings with Banff classification Correlate pathology with biomarkers, DSA, etc Determine if outcomes of posttransplant GN can be improved with early detection, prevention and therapy. Are there clinical and/or pathologic features of the native disease that predict likelihood of recurrence? Are there clinical and/or pathologic features of the recurrent disease in the allograft that predict graft loss? Which pathologic analyses are needed for optimal and early diagnosis of recurrent disease? Is the apparent association of recurrent glomerular disease with acute rejection related to biopsy bias (ie incidental discovery of recurrent disease in biopsies done to rule out rejection), under‐immunosuppression, or both? |
| Surrogate endpoints |
A. Loupy M. Naesens |
Define valid surrogate endpoints and invasive or noninvasive biomarkers for clinical trials and how histology and lesions related to tissue injury or scarring have to be integrated in such systems. Insure Banff active involvement and interactions with agencies such as FDA/ EMA and societies (AST, ESOT, TTS). | New WG in progress |
| Banff rules and dissemination |
J. U. Becker C. Roufosse | Elaboration of diagnostic algorithms for the Banff Diagnostic Classes 1‐6. Determination of the needs of the transplant community for dissemination of Banff content. Predominantly web‐based dissemination of Banff content. | Collation of all Banff content for kidney allograft pathology up to and including Banff 2017 (Transplantation 2018; 102:1795‐1814). Future plans include survey of the transplant community regarding dissemination needs, podcast based on the 2018 review article in collaboration with TTS, development and implementation of web‐based tools and dissemination of relevant Banff content including the content of this 2019 update. |
| Digital pathology |
K. Solez A. B. Farris | Digital automation of pathology practice: computing, artificial intelligence, nanotechnology, machine learning, slide numerization. |
Standardization of practices, classification for studies using integrative approaches, IFTA scoring, inflammation scoring, algorithms to fit to the classification and decrease inter‐observer variability. Archetypes to be validated across multiple institutions. Delivery of precision diagnostic, molecular pathways and therapeutics. |
| Peritubular capillaritis |
I. W.Gibson Z. Kikic N. Kozakowski | Evaluation whether a combined view of ptc score and ptc extent is superior compared to the currently applied standard of care (only ptc score) in distinguishing the role of ptc in the following diagnostic settings: active and chronic active ABMR, acute and chronic active TCMR/borderline, low‐grade MVI and mixed ABMR/TCMR. Test the reproducibility and prognostic significance of the combined of ptc score and extent. Gene expression analysis of peritubular capillaritis in different diagnostic settings. Comparison of cortical ptc vs medullary ptc (vasa recta). |
Multicenter validation cohort study is under preparation, for collection, centralization, assessment and circulation of a subset of cases from different diagnostic groups for inter‐observer agreement is planned for 2020‐2021. Prognostic significance of a peritubular capillaritis grade incorporating both ptc score and extent will be investigated |
Abbreviation: FFPE, formalin‐fixed, paraffin‐embedded.
Banff recommendations for electron microscopy in renal transplant biopsies
| Recommendations for taking of a sample for EM |
| Take a sample in all cases if possible, fixed and embedded as a resin block. At a minimum, this should be done if there is any suspicion of glomerular disease. While EM can be performed on samples recovered from paraffin blocks or frozen tissue to examine for electron dense deposits and to some extent the degree of foot process effacement, this is not recommended for assessment of glomerular basement membrane (GBM) thickness, cg1a or PTCML. In all cases, light microscopic (LM) examination of semi‐thin stained sections should be performed. |
| Recommendations for performing ultrastructural analysis |
|
Recommended in cases with: (a) Clinical, light microscopic and/or immunohistochemical suspicion of glomerular disease or of other diseases where EM may assist in diagnosis; (b) Patients at risk for antibody‐mediated rejection (ABMR): patients who are sensitized, have documented DSA at any time posttransplant, and/or who have had a prior biopsy showing features of ABMR (C4d staining, glomerulitis and/or peritubular capillaritis). EM can also be useful: (a) To detect early recurrence in patients with biopsy‐proven glomerular disease as the cause of native kidney failure; (b) In for‐cause biopsies ≥3 mo posttransplant, and in all biopsies ≥6 mo posttransplant, to determine if early changes of transplant glomerulopathy (cg1a) are present, prompting testing for DSA. In all cases, undertake an assessment for glomerular disease as in a native renal biopsy. If performing EM in the setting of possible ABMR, assess for cg1a and PTCML as recommended below. |
| Recommendations for preparing the block for ultrastructural examination |
| Select an area in the resin block(s) of viable (non‐necrotic) cortex, preferentially with minimal tubular atrophy/interstitial fibrosis. Aim to include ≥2 full glomeruli (at least 1). Do not taper the block to a “cone” or “pyramid” by removing cortical tissue around the glomeruli and aim to have at least 10 peritubular capillaries (PTCs) for examination. |
| Guidelines for ultrastructural assessment and reporting of cg1a |
|
Exclude globally or partly sclerosed glomeruli, and severely ischemic glomeruli. Examine 1 complete glomerulus as a minimum; where possible examine 2 or more. Examine the capillary loops at high magnification (≥5000x). cg1a is defined as: (a) No GBM double contours on LM; (b) ≥3 capillary loops (in a single glomerulus) each showing: subendothelial neo‐densa glomerular basement membrane (circumferential or not, single or multiple layers) The report should state how many glomeruli were examined, and how many loops show cg1a. |
| Guidelines for ultrastructural assessment and reporting of PTCML |
|
Assess for PTCML in the cortical peritubular capillaries between the glomeruli. Exclude scarred cortex and necrotic or hemorrhagic areas. Examine at least 10 PTC at high magnification (≥ 5000×). Count layers of basement membrane (BM) in the 3 worst affected PTCs, for each counting in the PTC segment with the most layers (worst affected area along the circumference). The report should state the number of PTC examined; the number of BM layers in the most affected PTC; and whether the Banff 2013 threshold for chronic ABMR (ptcml1; 1 PTC with ≥7 layers +2 PTC with ≥5 layers) is met. |
Definitions of the individual components of early lesions of transplant glomerulopathy
|
Endothelial cell enlargement is defined as glomerular endothelial enlargement with associated increase in cytoplasm, decrease in the capillary luminal area and loss of fenestrations. This should be used rather than less precise or incorrect terminology such “endothelial swelling”, “reactive endothelial changes”, “endothelial activation”, “endothelial injury” or “endothelial cell degeneration”. Subendothelial electron‐lucent widening is defined as expansion of space between the glomerular endothelium and lamina densa of the glomerular basement membrane (GBM) by electron‐lucent material. This should be used instead of “lamina rara interna expansion” or “subendothelial rarefaction”. Subendothelial neo‐densa glomerular basement membrane is defined as circumferential or discontinuous, single or multiple basement membrane layer(s) clearly distinct from the original GBM. |
Updates of 2019 Banff classification for ABMR, borderline changes, TCMR, and polyomavirus nephropathy. All updates in boldface type
|
|
|
|
| Active ABMR; all 3 criteria must be met for diagnosis |
|
1. Histologic evidence of acute tissue injury, including 1 or more of the following:
Microvascular inflammation (g > 0 and/or ptc > 0), in the absence of recurrent or de novo glomerulonephritis, although in the presence of acute TCMR, borderline infiltrate, or infection, ptc ≥ 1 alone is not sufficient and g must be ≥ 1 Intimal or transmural arteritis (v > 0) Acute thrombotic microangiopathy, in the absence of any other cause Acute tubular injury, in the absence of any other apparent cause |
|
2. Evidence of current/recent antibody interaction with vascular endothelium, including 1 or more of the following:
Linear C4d staining in peritubular capillaries or medullary vasa recta (C4d2 or C4d3 by IF on frozen sections, or C4d > 0 by IHC on paraffin sections) At least moderate microvascular inflammation ([g + ptc] ≥2) in the absence of recurrent or de novo glomerulonephritis, although in the presence of acute TCMR, borderline infiltrate, or infection, ptc ≥ 2 alone is not sufficient and g must be ≥1 Increased expression of gene transcripts/classifiers in the biopsy tissue strongly associated with ABMR, if thoroughly validated |
| 3. Serologic evidence of circulating donor‐specific antibodies (DSA to HLA or other antigens). C4d staining or expression of validated transcripts/classifiers as noted above in criterion 2 may substitute for DSA; however thorough DSA testing, including testing for non‐HLA antibodies if HLA antibody testing is negative, is strongly advised whenever criteria 1 and 2 are met |
| Chronic active ABMR; all 3 criteria must be met for diagnosis |
|
1. Morphologic evidence of chronic tissue injury, including 1 or more of the following: Transplant glomerulopathy (cg > 0) if no evidence of chronic TMA or chronic recurrent/de novo glomerulonephritis; includes changes evident by electron microscopy (EM) alone (cg1a) Severe peritubular capillary basement membrane multilayering (ptcml1; requires EM) Arterial intimal fibrosis of new onset, excluding other causes; leukocytes within the sclerotic intima favor chronic ABMR if there is no prior history of TCMR, but are not required |
| 2. Identical to criterion 2 for active ABMR, above |
| 3. Identical to criterion 3 for active ABMR, above, including strong recommendation for DSA testing whenever criteria 1 and 2 are met. |
| Chronic (inactive) ABMR |
| 1. cg > 0 and/or severe ptcml (ptcml1) |
| 2. Absence of criterion 2 of current/recent antibody interaction with the endothelium |
| 3. Prior documented diagnosis of active or chronic active ABMR and/or documented prior evidence of DSA |
| C4d staining without evidence of rejection; all 4 features must be present for diagnosis |
| 1. Linear C4d staining in peritubular capillaries (C4d2 or C4d3 by IF on frozen sections, or C4d > 0 by IHC on paraffin sections) |
| 2. Criterion 1 for active or chronic active ABMR not met |
| 3. No molecular evidence for ABMR as in criterion 2 for active and chronic active ABMR |
| 4. No acute or chronic active TCMR, or borderline changes |
|
|
| Foci of tubulitis (t1, t2, or t3) with |
| No intimal or transmural arteritis (v = 0) |
|
|
| Acute TCMR |
| Grade IA: Interstitial inflammation involving >25% of non‐sclerotic cortical parenchyma (i2 or i3) with moderate tubulitis (t2) involving 1 or more tubules, not including tubules that are severely atrophic |
| Grade IB: Interstitial inflammation involving >25% of non‐sclerotic cortical parenchyma (i2 or i3) with severe tubulitis (t3) involving 1 or more tubules, not including tubules that are severely atrophic |
| Grade IIA: Mild to moderate intimal arteritis (v1), with or without interstitial inflammation and/or tubulitis |
| Grade IIB: Severe intimal arteritis (v2), with or without interstitial inflammation and/or tubulitis |
| Grade III: Transmural arteritis and/or arterial fibrinoid necrosis involving medial smooth muscle with accompanying mononuclear cell intimal arteritis (v3), with or without interstitial inflammation and/or tubulitis |
| Chronic active TCMR |
| Grade IA: Interstitial inflammation involving >25% of sclerotic cortical parenchyma (i‐IFTA2 or i‐IFTA3) |
| Grade IB: Interstitial inflammation involving >25% of sclerotic cortical parenchyma (i‐IFTA2 or i‐IFTA3) |
| Grade II: Chronic allograft arteriopathy (arterial intimal fibrosis with mononuclear cell inflammation in fibrosis and formation of neointima). This may also be a manifestation of chronic active or chronic ABMR or mixed ABMR/TCMR |
|
|
|
|
|
|
|
|
Individual Banff lesion scores are defined in Table 5, and it is recommended that these be included in the biopsy report.
It should be noted that these arterial lesions may be indicative of ABMR, TCMR, or mixed ABMR/TCMR. “v” lesions and chronic allograft arteriopathy are only scored in arteries having a continuous media with ≥2 smooth muscle layers.
The clinical significance of these findings may be quite different in grafts exposed to anti–blood group antibodies (ABO‐incompatible allografts), where they do not appear to be injurious to the graft and may represent accommodation. However, with anti‐HLA antibodies, such lesions may progress to chronic ABMR, and more outcome data are needed.
Severely atrophic tubules are defined as having each of 3 features: diameter <25% of unaffected or minimally affected tubules in the same biopsy, an undifferentiated‐appearing, cuboidal or flattened epithelium, and pronounced wrinkling and/or thickening of the tubular basement membrane.
It was felt by the majority of Banff 2019 meeting attendees that reporting of chronic active TCMR should be accompanied by a second diagnosis of borderline acute TCMR or acute TCMR (with appropriate grade) when criteria for both diagnoses are met.
pvl scores are defined in Table 5 and in detail in ref. 4. An adequate sample for such scoring should include 2 biopsies cores and contain medulla. PVN can coexist with ABMR or with TCMR grades 2 or 3.
Banff reporting standardization scheme: Individual Banff scores used in grading of acute and chronic active ABMR and TCMR. Inclusion in the biopsy report of table similar to the below or a simple listing of individual scores in a comment is advised
| Acute Banff scores | Grading (0, 1, 2, 3) | Chronic Banff scores | Grading (0, 1, 2, 3) | Acute & chronic Banff scores | Grading (0, 1, 2, 3) |
|---|---|---|---|---|---|
| i | ci | ti | |||
| t | ct | i‐IFTA | |||
| v | cv | t‐IFTA | |||
| g | cg | pvl | |||
| ptc | ptcml | ||||
| C4d |
Abbreviations: i, inflammation in non‐scarred cortex, scored as 0 (absent/minimal, <10% of non‐scarred cortex inflamed), 1 (mild, 10%‐25%), 2 (moderate 26%‐50%), 3 (severe, >50%). The subcapsular cortex should not be considered; t, tubulitis in cortical tubules within non‐scarred cortex, scored as 0 (none), 1 (mild, 1‐4 mononuclear leukocytes per tubular cross‐section or 10 tubular epithelial cells in most severely involved tubule), 2 (moderate, 5‐10 mononuclear leukocytes), 3 (severe, >10 mononuclear leukocytes). Although the tubulitis score (1‐3) is based on the single most severely involved tubule, at least mild tubulitis must be present in ≥2 cortical foci for a t score >0 to be assigned. Severely atrophic tubules should NOT be scored; v, endarteritis (intimal arteritis), scored as 0 (none), 1 (mild, 1 or more leukocytes directly beneath the endothelium of 1 or more arteries; endothelial cells typically appear enlarged with associated subendothelial edema; <25% luminal occlusion), 2 (moderate, as grade 1, but with ≥25% luminal occlusion), 3 (severe, with arterial fibrinoid necrosis or transmural inflammation). Note that only arteries (minimum 2 smooth muscle layers) are scored; g, glomerulitis, scored as 0 (none), 1 (mild, with ≥1 leukocyte AND associated endothelial swelling occluding >50% of 1 of more capillary lumina in at least one but <25% of glomeruli), 2 (moderate, these changes involving 25%‐75% of glomeruli), 3 (severe, involving >75% of glomeruli). Ischemic, collapsed glomeruli and glomeruli with >50% sclerosis should not be scored; ptc, peritubular capillaritis, scored as 0 (minimal, with <3 leukocytes in the most severely involved cortical PTC and/or leukocytes in <10% of cortical PTCs), 1 (mild, with ≥1 leukocyte in ≥10% of cortical PTCs AND 3‐4 leukocytes in the most severely involved PTC), 2 (moderate, as grade 1 but with 5‐10 leukocytes in most severely involved PTC), 3 (severe, as grades 1‐2 but with >10 leukocytes in most severely involved cortical PTC). The extent of PTC inflammation should be documented as focal (10%‐50% of cortical PTCs) or diffuse (>50%). Note that medullary capillaries are NOT scored; C4d, linear staining in PTCs or medullary vasa recta by immunofluorescence (IF) on frozen sections of fresh tissue or immunohistochemistry (IHC) on formalin‐fixed, paraffin‐embedded tissue, scored as 0 (none), 1 (minimal, staining in >0 but <10% of PTCs), 2 (focal, 10%‐50% of PTCs), 3 (diffuse, >50% of PTCs). By IF on frozen sections scores ≥2 are considered positive; by IHC on paraffin sections all scores >0 are considered positive; ci, interstitial fibrosis in cortex, scored as 0 (minimal, ≤5%), 1 (mild 6%‐25%), 2 (moderate, 26%‐50%), 3 (severe, >50%). The subcapsular cortex should not be scored; ct, tubular atrophy in cortex, scored as 0 (none), 1 (mild, 1%‐25%), 2 (moderate, 26%‐50%), 3 (severe, >50%). The subcapsular cortex should not be scored; cv, arterial intimal fibrosis (fibrointimal thickening), scored as 0 (none), 1 (mild, present but with ≤25% narrowing of luminal area in the most involved artery), 2 (moderate, 26%‐50% luminal narrowing), 3 (severe, >50% luminal narrowing); cg, chronic glomerulopathy (transplant glomerulopathy), scored as 0 (none, no GBM double contours by light microscopy [LM] or EM), 1a (early mild, no GBM double contours by LM but subendothelial neo‐densa in ≥3 glomerular capillaries by EM with associated endothelial cell enlargement and/or subendothelial electron‐lucent widening, 1b (mild, GBM double contours by LM in 1%‐25% of glomerular capillaries by LM in the most severely involved glomerulus), 2 (moderate, double contours by LM in 26%‐50% of capillaries), 3 (severe, double contours by LM in >50% of capillaries). Ischemic, collapsed glomeruli and glomeruli with >50% sclerosis should not be scored; ptcml, peritubular capillary basement membrane multilayering (requires EM), scored as 1 (≥7 basement membrane layers in the most affected PTC AND ≥5 layers in two additional PTCs), 0 (not meeting these criteria), or NA if EM is not performed; ti, total cortical inflammation, including scarred and non‐scarred cortex, scored as 0 (absent/minimal, <10%), 1 (mild, 10%‐25%), 2 (moderate, 26%‐50%), 3 (severe, >50%); i‐IFTA, inflammation in scarred cortex, scored as 0 (absent/minimal, <10% of non‐scarred cortex inflamed OR if the extent of cortical IFTA is <10%), 1 (mild, 10%‐25% of scarred cortex inflamed), 2 (moderate 26%‐50% of scarred cortex inflamed), 3 (severe, >50% of scarred cortex inflamed). The subcapsular cortex should not be considered; t‐IFTA, tubulitis in tubules within scarred cortex, scored as 0 (none), 1 (mild, 1‐4 mononuclear leukocytes per tubular cross‐section or 10 tubular epithelial cells in most severely involved tubule), 2 (moderate, 5‐10 mononuclear leukocytes), 3 (severe, >10 mononuclear leukocytes). Severely atrophic tubules should NOT be scored; pvl, intrarenal polyomavirus load level, defined by the overall fraction of tubules in the entire biopsy (cortex and medulla) with at least 1 epithelial cell showing a viral inclusion body by light microscopy OR nuclear staining for SV40 large T antigen by IHC. As IHC is more sensitive, proper pvl scoring requires IHC. Scored as 0 (none), 1 (mild, positive cells in ≤1% of tubules), 2 (moderate, >1% and <10%), 3 (severe, ≥10%). The pvl score in combination with the ci score is used to define the PVN class (Table 4).
Survey results on reporting of chronic active T cell–mediated rejection (CA TCMR), chronic active antibody‐mediated rejection (CA ABMR), and Banff i threshold for borderline (BL) lesions
| Preferred diagnosis wording | |||||
|---|---|---|---|---|---|
| CA TCMR | CA TCMR + borderline or acute TCMR | CA TCMR +active component meeting criteria for BL or acute TCMR | CA TCMR | Acute TCMR+ moderate inflammed IFTA | Other |
| i1 t2 ti2 iIFTA3 ci2 ct2 +noMVI |
| 33% | 20% | 0% | 1% |
| i2 t2 ti2 iIFTA3 ci2 ct2 + noMVI |
| 21% | 5% | 12% | 1% |
| i1 t2 ti2 iIFTA3 ci2 ct2 v1 + noMVI |
| 12.5% | 6.5% | 10% | 1% |
| CA ABMR | Current wording: CA ABMR | CA ABMR +specify g and ptc scores | CA ABMR +mild/moderate/severe activity/chronicity | ABMR +mild/moderate/severe activity/chronicity | Other |
| 14% | 26% | 27% |
| 4% | |
This table summarizes the answers obtained from a survey distributed to Banff attendees during or immediately after the meeting. These results rely on answers from 69 pathologists and clinicians regarding preferred wording in situation of CA TCMR, and CA ABMR and regarding preferred threshold for borderline for acute TCMR.
Abbreviations: BL, borderline for acute TCMR; CA ABMR, chronic active antibody‐mediated rejection; IFTA, interstitial fibrosis and tubular atrophy; MVI, microvascular inflammation.
Figure 1Responses to TTS survey regarding the management of chronic active (CA) TCMR: of the 128 respondents to this survey, 47 (37%) were from Europe, 26 (20%) from Asia, 23 (18%) from the United States and Canada, 18 (14%) from Latin America, 9 (7%) from the Middle East and Africa, and 5 (4%) from Australia and New Zealand. Sixty‐five percent of centers performed <100 renal transplantations annually; 12% performed >200. At all but 12% of centers, biopsies were read by a renal or transplant pathologist
Feasible applications of artificial intelligence in the Banff classification
| Type | Fields of usage | Popular algorithms |
|---|---|---|
| Image recognition | Digital pathology | CNN, ResNet, VGG, etc |
| NLP | Meta‐analysis | SyntaxNet, transfer learning, SVM, naive Bayes classifier, etc |
| Text mining | Meta‐analysis, automated report, report/web scraping | k‐means clustering, naive Bayes classifier, KNN, SVM, etc |
| Cluster pattern recognition | Gene expression, personalized medicine | Linkage algorithms, k‐means, DBSCAN, archetypal analysis, etc |
| Class prediction | Graft lost, response to therapy | Random forest, multinomial logistic regression, SVM, neural network, etc |
Abbreviations: CNN, convolutional neural network; DBscan, description density‐based spatial clustering of applications with noise; KNN, K nearest neighbors; NLP, natural language processing; SVM, support vector machine; VGG, visual geometry group.