ПАТОЛОГИЯ, ВЫЗВАННАЯ ИМПЛАНТАТОМ: АЛГОРИТМ ОПРЕДЕЛЕНИЯ ЧАСТИЦ ПРИ ГИСТОПАТОЛОГИЧЕСКОМ ИССЛЕДОВАНИИ СИНОВИАЛЬНО-ПОДОБНОЙ ОКОЛОПРОТЕЗНОЙ мембраны (SLIM)

In histopathologic SLIM diagnostic (synovial-like interface membrane, SLIM) apart from diagnosing periprosthetic infection particle identification has an important role to play. The differences in particle pathogenesis and variability of materials in endoprosthetics explain the particle heterogeneity that hampers the diagnostic identification of particles. For this reason, a histopathological particle algorithm has been developed. With minimal methodical complexity this histopathological particle algorithm offers a guide to prosthesis material-particle identification. Light microscopic-morphological as well as enzyme-histochemical characteristics and polarization-optical proporties have set and particles are defined by size (microparticles, macroparticles and supra- macroparticles) and definitely characterized in accordance with a dichotomous principle. Based on these criteria, identification and validation of the particles was carried out in 120 joint endoprosthesis pathological cases. A histopathological particle score (HPS) is proposed that summarizes the most important information for the orthopedist, material scientist and histopathologist concerning particle identification in the SLIM.Важную роль при гистопатологическом исследовании синовиально-подобной околопротезной мембраны (SLIM), наряду с диагностикой околопротезной инфекции, играет идентификация частиц. Различия в патогенезе частиц и разнообразии материалов для эндопротезирования объясняют ту гетерогенность, которая затрудняет диагностическую идентификацию частиц. По этой причине был разработан гистопатологический алгоритм диагностики частиц, который при минимальных методологических сложностях обеспечивает идентификацию частиц материала протеза. Простые микроскопически-морфологические и энзим-гистохимические характеристики, а также поляризационно-оптические свойства позволяют определить размер частиц (микрочастицы, макрочастицы и супер-макрочастицы) и характеризовать их по дихотомическому принципу. На основании этих критериев были выполнены идентификация и аттестация частиц в 120 случаях патологической реакции на эндопротез сустава. Предложена гистопатологическая шкала частиц (HPS), которая суммирует важнейшую информацию для ортопедов, материаловедов и гистопатологов, касающуюся идентификации частиц методом SLIM

Who Is at Risk for Diagnostic Discrepancies? Comparison of Pre- and Postmortal Diagnoses in 1800 Patients of 3 Medical Decades in East and West Berlin

<div><h3>Background</h3><p>Autopsy rates in Western countries consistently decline to an average of <5%, although clinical autopsies represent a reasonable tool for quality control in hospitals, medically and economically. Comparing pre- and postmortal diagnoses, diagnostic discrepancies as uncovered by clinical autopsies supply crucial information on how to improve clinical treatment. The study aimed at analyzing current diagnostic discrepancy rates, investigating their influencing factors and identifying risk profiles of patients that could be affected by a diagnostic discrepancy.</p> <h3>Methods and Findings</h3><p>Of all adult autopsy cases of the Charité Institute of Pathology from the years 1988, 1993, 1998, 2003 and 2008, the pre- and postmortal diagnoses and all demographic data were analyzed retrospectively. Based on power analysis, 1,800 cases were randomly selected to perform discrepancy classification (class I-VI) according to modified Goldman criteria. The rate of discrepancies in major diagnoses (class I) was 10.7% (95% CI: 7.7%–14.7%) in 2008 representing a reduction by 15.1%. Subgroup analysis revealed several influencing factors to significantly correlate with the discrepancy rate. Cardiovascular diseases had the highest frequency among class-I-discrepancies. Comparing the 1988-data of East- and West-Berlin, no significant differences were found in diagnostic discrepancies despite an autopsy rate differing by nearly 50%. A risk profile analysis visualized by intuitive heatmaps revealed a significantly high discrepancy rate in patients treated in low or intermediate care units at community hospitals. In this collective, patients with genitourinary/renal or infectious diseases were at particularly high risk.</p> <h3>Conclusions</h3><p>This is the current largest and most comprehensive study on diagnostic discrepancies worldwide. Our well-powered analysis revealed a significant rate of class-I-discrepancies indicating that autopsies are still of value. The identified risk profiles may aid both pathologists and clinicians to identify patients at increased risk for a discrepant diagnosis and possibly suboptimal treatment intra vitam.</p> </div

Diagnostic guidelines for the histological particle algorithm in the periprosthetic neo-synovial tissue

Background The identification of implant wear particles and non-implant related particles and the characterization of the inflammatory responses in the periprosthetic neo-synovial membrane, bone, and the synovial-like interface membrane (SLIM) play an important role for the evaluation of clinical outcome, correlation with radiological and implant retrieval studies, and understanding of the biological pathways contributing to implant failures in joint arthroplasty. The purpose of this study is to present a comprehensive histological particle algorithm (HPA) as a practical guide to particle identification at routine light microscopy examination. Methods The cases used for particle analysis were selected retrospectively from the archives of two institutions and were representative of the implant wear and non-implant related particle spectrum. All particle categories were described according to their size, shape, colour and properties observed at light microscopy, under polarized light, and after histochemical stains when necessary. A unified range of particle size, defined as a measure of length only, is proposed for the wear particles with five classes for polyethylene (PE) particles and four classes for conventional and corrosion metallic particles and ceramic particles. Results All implant wear and non-implant related particles were described and illustrated in detail by category. A particle scoring system for the periprosthetic tissue/SLIM is proposed as follows: 1) Wear particle identification at light microscopy with a two-step analysis at low (× 25, × 40, and × 100) and high magnification (× 200 and × 400); 2) Identification of the predominant wear particle type with size determination; 3) The presence of non-implant related endogenous and/or foreign particles. A guide for a comprehensive pathology report is also provided with sections for macroscopic and microscopic description, and diagnosis. Conclusions The HPA should be considered a standard for the histological analysis of periprosthetic neo-synovial membrane, bone, and SLIM. It provides a basic, standardized tool for the identification of implant wear and non-implant related particles at routine light microscopy examination and aims at reducing intra-observer and inter-observer variability to provide a common platform for multicentric implant retrieval/radiological/histological studies and valuable data for the risk assessment of implant performance for regional and national implant registries and government agencies

IMPLANT-ASSOCIATED PATHOLOGY: AN ALGORITHM FOR IDENTIFYING PARTICLES IN HISTOPATHOLOGIC SYNOVIALIS/SLIM DIAGNOSTICS

In histopathologic SLIM diagnostic (synovial-like interface membrane, SLIM) apart from diagnosing periprosthetic infection particle identification has an important role to play. The differences in particle pathogenesis and variability of materials in endoprosthetics explain the particle heterogeneity that hampers the diagnostic identification of particles. For this reason, a histopathological particle algorithm has been developed. With minimal methodical complexity this histopathological particle algorithm offers a guide to prosthesis material-particle identification. Light microscopic-morphological as well as enzyme-histochemical characteristics and polarization-optical proporties have set and particles are defined by size (microparticles, macroparticles and supra- macroparticles) and definitely characterized in accordance with a dichotomous principle. Based on these criteria, identification and validation of the particles was carried out in 120 joint endoprosthesis pathological cases. A histopathological particle score (HPS) is proposed that summarizes the most important information for the orthopedist, material scientist and histopathologist concerning particle identification in the SLIM

HISTOPATHOLOGICAL SCALE AND SYNOVITIS ALGORITHM – 15 YEARS OF EXPERIENCE: EVALUATION AND FOLLOWING PROGRESS

The diagnostic  histopathology scales are mainly  the  multilevel  evaluation systems. The same principle  is lying in the  basis of synovitis  scale elaboration. This  scale gradually  and  semi-quantitatively assesses the  inflammatory and immunological changes in case of synovitis  considering  three  synovial components: thickness  of synovial cellular layer, cellular  stroma  density  and  severity  of inflammatory infiltration. The  scale comprises  four semi-quantitative  grades: normal 0, mild, moderate  and severe. Scale points from 0 to 9 are summated. Such sum evaluation allows to identify high and low degree synovitis.  Scale points  from 1 to ≤4 correspond to low degree synovitis  which determines and includes the following diagnosis: arthritis associated  synovitis;  synovitis  associated  with  meniscus  pathology;  hemochromatosis associated  synovitis.  Scale points  from ≥5 to  9 determine high  degree  synovitis  including  diagnosis  like rheumatoid arthritis; psoriatic  arthritis; Lyme arthritis; post  infection  (reactive) arthritis and  peripheral arthritis in Bekhterev’s disease. Thus, the synovitis scale allows to assess degenerative or posttraumatic (low degree synovitis) and inflammatoryrheumatoid pathology  (high  degree  synovitis) based  on histopathological diagnostics with  sensitivity of 61,7% and specificity  of 96,1%. The scale is characterized by a good diagnostics significance  by ROC  analysis (area  under  curve: 0,8–0,9).  Two versions of synovitis  scale was published:  first in 2002, second reworked  in 2006 and the latter includes the concept  of subdivision  into two groups of high and low degree synovitis.  Thanking to both  versions a national  and international recognition of histological  evaluation during  15 years was gained.   To clarity  diagnosis description using synovitis  scale particularly in rheumatology various  inflammatory antigens  were suggested  for immunohistochemical analysis (including Ki-67, CD68-, CD3-, CD15и CD20).  This immunohistochemical scale and subdivision into low and high degree synovitis  provided  a possibility  to assess the risk of development and biological sensitivity of rheumatoid arthritis. Thus, an important histological  input  was made into primary rheumatology diagnostics which did not consider tissue  changes.  Due  to  formal  integration of synovitis  scale into  the  algorithm of synovial  pathology  diagnostics a comprehensive classification was developed specifically for differentiated orthopaedics diagnostics

15 Jahre histopathologischer Synovialitis-Score = Fifteen years of the histopathological synovitis score: review and further developments of a diagnostic score

The histopathological synovitis score evaluates in a graded approach, as is largely usual for diagnostic histopathological scores, the immunological and inflammatory changes caused by synovitis. A synovitis score of between 1 and ≤ 4 is classified as low-grade (osteoarthritis-related synovitis, post-traumatic synovitis, meniscopathy-related synovitis and synovitis in hemochromatosis). Synovitis scores of between ≥ 5 and 9 are classified as high-grade synovitis (rheumatoid arthritis, psoriatic arthritis, Lyme’s arthritis, post-infection/reactive arthritis and peripheral arthritis in Bechterew disease); sensitivity is 61.7% and sensitivity 96.1%. According to receiver operating characteristic (ROC) analysis (AUC: 0.8–0.9), diagnostic value is good. National and international acceptance of the synovitis score has grown since the first publication in 2002 and a related follow-up publication in 2006. PubMed data analysis (as of 11.01.2017) yielded the following citation values according to “cited by PubMed Central articles” for two publications relating to the synovitis score: there were 29 cited-by-PubMed articles for DOI: 10.1078/0344-0338-5710261, and 44 cited-in-PubMed articles for the second publication, DOI: 10.1111/j.1365-2559.2006.02508. This makes a total of 73 PubMed citations over a period of 15 years, thereby evidencing the score’s international acceptance. Immunohistochemical determination of a number of CD antigens relevant to inflammation has been proposed to further specify the synovitis score for the purposes of risk stratification of high-grade synovitis (e.g., risk of progression and sensitivity to biological agents)