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Auteur : Grafiati
Publié le 22 juin 2024

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1

Duan, Shu-Wei, Yan Mei, Jian Liu, Pu Chen, Ping Li, Yi-Zhi Chen, Shu-Peng Lin et al. « Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy ». Kidney and Blood Pressure Research 44, no 5 (2019) : 928–41. http://dx.doi.org/10.1159/000500459.

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Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency.
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Akhavan Sepahi, Mohsen, et Muhammed Mubarak. « Predicting renal outcomes in immunoglobulin A vasculitis nephritis ; from ISKDC classification to Oxford MEST-C classification ». Journal of Renal Injury Prevention 9, no 1 (14 décembre 2019) : 08. http://dx.doi.org/10.15171/jrip.2020.08.

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Immunoglobulin A vasculitis nephritis (IgAVN) or Henoch-Schönlein purpura nephritis (HSPN) is the most common type of secondary IgA nephropathy (IgAN), particularly in children. Overall, its prognosis is good, but in a significant number of cases, it does lead to chronic kidney disease (CKD) and end-stage renal disease (ESRD). Various classifications exist to predict the long-term outcome of kidney disease in these diseases, but none is universally accepted. We searched PubMed, Web of Science Embase, EBSCO, Scopus and directory of open access journals (DOAJ) with keywords of Henoch-Schönlein purpura nephritis, immunoglobulin A vasculitis nephritis, immunoglobulin A nephropathy, IgA vasculitis, extracapillary proliferation, IgA nephropathy, leukocytoclastic vasculitis, endstage renal disease, Oxford classification, crescent and childhood IgA vasculitis. IgAVN in children presents most often with crescents and endocapillary proliferation, with relapsing and remitting course clinically. Due to morphological resemblance of IgAVN and IgAN, the Oxford MEST-C scores could be applied for determining the long-term outcomes in the former disease. A critical concern in applying Oxford classification for IgAVN is that limited number of children with IgAVN exists in any one center and also a relatively short period of follow-up. Hence, further work in this regard is necessary. Preliminary evidence suggests that Oxford MEST-C classification is valid in predicting long-term kidney outcomes in children with IgAVN and the classification can also be used in adults. However, further, large scale, multicenter, international collaborative studies are needed to address the unmet issues.
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Roberts, Ian S. D. « Oxford classification of immunoglobulin A nephropathy ». Current Opinion in Nephrology and Hypertension 22, no 3 (mai 2013) : 281–86. http://dx.doi.org/10.1097/mnh.0b013e32835fe65c.

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Park, Seohyun, Hyung Woo Kim, Jung Tak Park, Tae Ik Chang, Ea Wha Kang, Dong-Ryeol Ryu, Tae-Hyun Yoo et al. « Relationship between complement deposition and the Oxford classification score and their combined effects on renal outcome in immunoglobulin A nephropathy ». Nephrology Dialysis Transplantation 35, no 12 (3 août 2019) : 2103–37. http://dx.doi.org/10.1093/ndt/gfz161.

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Abstract Background Complement activation has been highlighted in immunoglobulin (Ig) A nephropathy pathogenesis. However, whether the complement system can affect the downstream phenotype of IgA nephropathy remains unknown. Herein, we investigated the association of mesangial C3 deposition with the Oxford classification and their joint effects on worsening kidney function. Methods We investigated 453 patients with biopsy-proven IgA nephropathy. C3 deposition was defined as an immunofluorescence intensity of C3 ≥2+ within the mesangium. The subjects were classified according to the combination of C3 deposition and Oxford classification lesions. The primary endpoint was a composite of ≥30% decline in the estimated glomerular filtration rate or an increase in proteinuria ≥3.5 g/g during follow-up. Results Among the Oxford classification lesions, mesangial hypercellularity (M1), segmental glomerulosclerosis (S1) and tubulointerstitial fibrosis (T1–2) and crescentic lesion significantly correlated with C3 deposition. During a median follow-up of 33.0 months, the primary endpoint occurred more in patients with M1, S1, T1–2 and mesangial C3 deposition than in those without. In individual multivariable-adjusted Cox analyses, the presence of M1, S1, T1–2 and C3 deposition was significantly associated with higher risk of reaching primary endpoint. In the combined analyses of C3 deposition and the Oxford classification lesions, the hazard ratios for the composite outcome were significantly higher in the presence of C3/M1, C3/S1 and C3/crescent than in the presence of each lesion alone. Conclusions Complement deposition can strengthen the significance of the Oxford classification, and the presence of both components portends a poorer prognosis in IgA nephropathy.
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Cattran, Daniel C., Rosanna Coppo, H. Terence Cook, John Feehally, Ian S. D. Roberts, Stéphan Troyanov, Charles E. Alpers et al. « The Oxford classification of IgA nephropathy : rationale, clinicopathological correlations, and classification ». Kidney International 76, no 5 (septembre 2009) : 534–45. http://dx.doi.org/10.1038/ki.2009.243.

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Troyanov, Stéphan, et Fernando C. Fervenza. « Validating the Oxford Classification of IgA Nephropathy ». Clinical Journal of the American Society of Nephrology 6, no 10 (octobre 2011) : 2335–36. http://dx.doi.org/10.2215/cjn.08440811.

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Eitner, Frank, et Jürgen Floege. « The Oxford classification—predicting progression of IgAN ». Nature Reviews Nephrology 5, no 10 (octobre 2009) : 557–59. http://dx.doi.org/10.1038/nrneph.2009.150.

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Yamamoto, Ryohei, et Yasuyuki Nagasawa. « Oxford IgA nephropathy classification : valid for children ? » Nature Reviews Nephrology 6, no 11 (27 octobre 2010) : 638–39. http://dx.doi.org/10.1038/nrneph.2010.123.

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Hill, Gary S., Dominique Nochy et Khalil El Karoui. « Comments on the Oxford classification of IgA nephropathy ». Kidney International 76, no 11 (décembre 2009) : 1207. http://dx.doi.org/10.1038/ki.2009.341.

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Herzenberg, Andrew M., Agnes B. Fogo, Heather N. Reich, Stéphan Troyanov, Nuket Bavbek, Alfonso E. Massat, Tracy E. Hunley et al. « Validation of the Oxford classification of IgA nephropathy ». Kidney International 80, no 3 (août 2011) : 310–17. http://dx.doi.org/10.1038/ki.2011.126.

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Sparrow, J. M., A. J. Bron, N. A. P. Brown, W. Ayliffe et A. R. Hill. « The Oxford Clinical Cataract Classification and Grading System ». International Ophthalmology 9, no 4 (décembre 1986) : 207–25. http://dx.doi.org/10.1007/bf00137534.

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Juan, Yun-Ting, Wen-Chih Chiang, Wei-Chou Lin, Cheng-Wen Yang, San-Fang Chou, Ruo-Wei Hung et Yen-Ling Chiu. « Associations between Biomarkers of Complement Activation, Galactose-Deficient IgA1 Antibody and the Updated Oxford Pathology Classification of IgA Nephropathy ». Journal of Clinical Medicine 11, no 14 (21 juillet 2022) : 4231. http://dx.doi.org/10.3390/jcm11144231.

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Our prior study indicates a close relationship between alternative complement pathway activation, galactose-deficient IgA1 (Gd-IgA1) concentration and clinical severity of IgA nephropathy (IgAN). Nonetheless, the relationship between complement factors and the updated Oxford classification of IgAN remains unclear. This study enrolled eighty-four previously untreated, biopsy-diagnosed IgAN patients. The clinical and laboratory findings were collected at the time of biopsy. Plasma levels of complement factor C5a, factor Ba and Gd-IgA1 were measured and analyzed. It was found that the levels of proteinuria positively correlated with the updated Oxford classification of mesangial hypercellularity (M), endocapillary hypercellularity (E), tubular atrophy/interstitial fibrosis (T) and crescents (C). In addition, plasma Gd-IgA1 titer was significantly elevated in IgAN patients with tubular atrophy/interstitial fibrosis (T). In separate multivariable logistic regression models, both Gd-IgA1 and factor Ba independently predict higher T scores. The results indicate that both the levels of Gd-IgA1 antibody and biomarkers of the alternative complement pathway activation reflect the Oxford classification of IgAN. Whether these biomarkers can be used to guide therapeutic decisions requires further study.
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Golla, Victor. « Lyle Campbell, American Indian languages : The historical linguistics of Native America. (Oxford studies in anthropological linguistics, 4.) Oxford & ; New York : Oxford University Press, 1997. Pp. xiv, 512. Hb $75.00. » Language in Society 29, no 1 (janvier 2000) : 150–53. http://dx.doi.org/10.1017/s0047404500321030.

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For more than a decade, Americanists have been working in the shadow of Greenberg's Language in the Americas (1987) and the hemisphere-wide classification of American Indian languages proposed there. Greenberg's work, based for the most part on naïve comparisons of lexical data with which he was largely unfamiliar, was met with considerable skepticism by scholars familiar with the problems of American linguistic classification. But Greenberg, a senior linguist who is widely recognized as the father of modern linguistic typology, aggressively defended his methods and results, and he made allies among geneticists and archeologists who found that his tripartite classification (Eskimo-Aleut, Na-Dene, and “Amerind”) dovetailed with some of their own ideas. Moreover, his book was published by a leading university press. Mainly for these reasons – certainly not for its critical acceptance – Language in the Americas has become a standard reference work. It is in most academic libraries in North America, and in many it is given a place of honor on the reference shelf – together with Merritt Ruhlen's Guide to the world's languages, I: Classification (published by the same press, 1987), which, at least for the Americas, does little more than uncritically recapitulate Greenberg.
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Ersan, Sibel, Omur Gokmen Sevindik, Caner Cavdar, Sibel Ada, Aykut Sifil, Ali Celik, Sulen Sarioglu et Taner Camsari. « Evaluation of Clinical and Pathological Characteristics of Patients with IgA Nephropathy Based on Oxford Classification System : Should Crescents be Included ? » BANTAO Journal 15, no 1 (27 juin 2017) : 10–15. http://dx.doi.org/10.1515/bj-2017-0003.

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Abstract Introduction. None of the classification systems in immunoglobulin A (IgA) nephropathy has been widely agreed or implemented by clinicians or pathologists. In order to meet this need, "Oxford Classification System", which is highly reproducible and predictive for clinical course, was developed in 2009. In the present study, we investigated clinical and pathological characteristics of patients with IgA nephropathy based on current classification and the predictivity of crescent presence on prognosis. Methods. The study comprised 40 patients with diagnosis of primary IgA nephropathy on renal biopsy. The biopsy findings and follow-up parameters of patients were retrospectively re-evaluated. Pathological findings were examined based on the Oxford classification system. The presence of crescent formation in the specimens was noted. Results. The presence of crescent formation was predictive of poor prognosis regarding the glomerular filtration rate (eGFR), the level of proteinuria, and mean arterial pressure (MAP). Conclusion: Considering the importance of crescent formation in prediction of the clinical course and need for immunosuppressive therapy, it is suggested that crescent presence can be included in this classification system.
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Molina, Santiago J. « La construcción de poblaciones utilizando los censos de población en Latinoamérica ». Revista Brasileira de Estudos de População 33, no 2 (13 novembre 2016) : 457–60. http://dx.doi.org/10.20947/s0102-30982016a0051.

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Neves, Precil Diego Miranda de Menezes, Rafaela Bezerra Brito Pinheiro, Cristiane Bitencourt Dias, Luis Yu, Leonardo de Abreu Testagrossa, Lívia Barreira Cavalcante, Denise Maria Avancini Costa Malheiros, Lectícia Barbosa Jorge et Viktoria Woronik. « Renal Outcomes in Brazilian Patients with Immunoglobulin A Nephropathy and Cellular Crescentic Lesions ». Kidney and Blood Pressure Research 45, no 3 (2020) : 431–41. http://dx.doi.org/10.1159/000507251.

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Background and Aim: Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulopathy. The Oxford classification was recently updated to include crescents as markers of poor prognosis. The aim of this study was to evaluate the impact of cellular crescents on the prognosis of patients with IgAN in Brazil. Methods: This was a single-centre retrospective analysis of medical records and renal biopsies in patients with IgAN. The renal biopsy findings were classified according to the revised Oxford classification: mesangial hypercellularity, endocapillary hypercellularity (E), segmental glomerulosclerosis (S), tubular atrophy or interstitial fibrosis (T), and crescent formation (C). We evaluated a composite outcome (progression to end-stage renal disease or creatinine doubling). We performed analyses between the patients with crescents in the renal biopsy specimen (C1/C2 group) and those without such crescents (C0 group). Results: We evaluated 111 patients, of whom 72 (65.0%) were women, 80 (72.0%) self-identified as White, 73 (65.6%) were hypertensive, and 95 (85.6%) had haematuria. The distribution of patients according to cellular crescentic lesions was: C0, 80 (72%); C1, 27 (24.4%); C2, 4 (3.6%). The composite outcome was observed in 33 (29.72%) of the 111 patients. In comparison with the C0 group, the C1/C2 group had higher proportions of patients with hypertension (p = 0.04), haematuria (p = 0.03), worse serum creatinine (p = 0.0007), and worse estimated glomerular filtration rate (p = 0.0007). The C1/C2 group also had higher proportions of patients in whom the biopsy specimen was classified as E1 (p = 0.009), S1 (p = 0.001), or T1/T2 (p = 0.03), In addition, the mean follow-up period was shorter in the C1/C2 group (p < 0.0001). Furthermore, the composite outcome was observed in a greater proportion of patients and in a shorter length of time in the C1/C2 group than in the C0 group (p = 0.002 and p = 0.0014, respectively). In a Cox regression analysis, the independent risk factors for the composite outcome had Oxford classifications of S1, T1/T2, and C1/C2. Conclusion: Oxford classification findings of S1, T1/T2, or C1/C2 were independent risk factors for the composite outcome, corroborating previous studies.
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Yau, Timothy, Stephen M. Korbet, Melvin M. Schwartz et David J. Cimbaluk. « The Oxford Classification of IgA Nephropathy : A Retrospective Analysis ». American Journal of Nephrology 34, no 5 (2011) : 435–44. http://dx.doi.org/10.1159/000332223.

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Jullien, Perrine, Blandine Laurent, François Berthoux, Ingrid Masson, Miriana Dinic, Guillaume Claisse, Damien Thibaudin, Christophe Mariat, Eric Alamartine et Nicolas Maillard. « Repeat renal biopsy improves the Oxford classification-based prediction of immunoglobulin A nephropathy outcome ». Nephrology Dialysis Transplantation 35, no 7 (15 novembre 2018) : 1179–86. http://dx.doi.org/10.1093/ndt/gfy341.

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Abstract Background The prognosis of IgA nephropathy (IgAN) is very heterogeneous. Predicting the nature and the rate of the disease progression is crucial for refining patient treatment. The aim of this study was to evaluate the prognostic impact of an Oxford classification-based repeat kidney tissue evaluation to predict end-stage renal disease (ESRD). Methods Patients with biopsy-proven primary IgAN who underwent two renal biopsies at our centre were analyzed retrospectively. Renal biopsies were scored by two pathologists blinded to the clinical data and according to the updated Oxford classification. Cox models were generated to evaluate the prognostic impact considering the Oxford classification elementary lesions from the first (Model 1) or the second (Model 2) biopsy, adjusted on clinical data at time of reevaluation. The prognostic impacts of the dynamic evolution of each elementary lesion between biopsies were also assessed through univariate and multivariate evaluation. Results A total of 168 adult patients were included, with a median follow-up duration of 18 (range 11–24) years. The second biopsy was performed either systematically (n = 112) of for-cause (n = 56), after a median time of 5.4 years. The prognostic performances of Model 2 (second biopsy) were significantly better than Model 1 (first biopsy, analysis of deviance P &lt; 0.0001). The dynamic changes of C and T lesions were significantly associated with the progression toward ESRD after adjustment on variables from Model 2. Conclusion Both static and dynamic Oxford-based histological evaluation offered by a repeat biopsy improves the prediction of ESRD in patients with IgAN.
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Jia, Lianyin, Hongsong Zhai, Xiaohui Yuan, Ying Jiang et Jiaman Ding. « A Parallel Convolution and Decision Fusion-Based Flower Classification Method ». Mathematics 10, no 15 (4 août 2022) : 2767. http://dx.doi.org/10.3390/math10152767.

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Flower classification is of great significance to the fields of plants, food, and medicine. However, due to the inherent inter-class similarity and intra-class differences of flowers, it is a difficult task to accurately classify them. To this end, this paper proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion. Firstly, facing the shortcomings of the VGG16, an enhanced E-VGG16 is proposed. E-VGG16 introduces a parallel convolution block designed in this paper on VGG16 combined with several other optimizations to improve the quality of extracted features. Secondly, considering the limited decision-making ability of a single E-VGG16 variant, parallel convolutional blocks are embedded in different positions of E-VGG16 to obtain multiple E-VGG16 variants. By introducing information entropy to fuse multiple E-VGG16 variants for decision-making, the classification accuracy is further improved. The experimental results on the Oxford Flower102 and Oxford Flower17 public datasets show that the classification accuracy of our method reaches 97.69% and 98.38%, respectively, which significantly outperforms the state-of-the-art methods.
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Labib, Aml, Jitesh Jeswani et Durga AK Kanigicherla. « Utility of MEST and MEST-C Scoring in IgA Nephropathy in Kidney Transplantation : A Mini Review ». OBM Transplantation 07, no 04 (13 octobre 2023) : 1–13. http://dx.doi.org/10.21926/obm.transplant.2304199.

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IgAN is a major cause of end-stage kidney disease (ESKD) leading to kidney transplantation in a significant proportion of patients. However, its recurrence in transplanted kidneys can lead to graft loss. The rate of graft loss attributable to IgAN after transplantation is variably reported in different retrospective cohorts. Previous reports describe recurrence rates of 22-58% with a 1.3% to 16% rate of graft loss. Accurate diagnosis and prediction of graft loss are important for planning effective therapies to improve graft survival in IgAN post transplantation. The Oxford classification using MEST and MEST-C in native kidney disease IgAN has been established for well over a decade. We propose investigating if this classification system can be applied to kidney allografts to standardize the categorization of transplant IgAN. More importantly, successful use of this classification could assist in selecting patients for prospective interventional trials and defining better treatments. In this literature review, we explore the available literature on the Oxford classification and its utility in describing the disease and predicting graft loss in IgA nephropathy within the context of kidney transplantation.
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Proskura, M. V., E. K. Petrosyan, P. E. Povilaitite et B. L. Kushnir. « A modern approach to the morphological assessment of nephritis in Henoch–Schonlein purpura (IgA-vasculitis) ». Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 67, no 6 (7 janvier 2023) : 75–82. http://dx.doi.org/10.21508/1027-4065-2022-67-6-75-82.

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The authors analyzed clinical and morphological correlations between the manifestations and outcome in nephritis with Henoch– Schönlein purpura and assessed the effect of morphological data on achieving remission as per ISKDC, SQC, MEST-C classification.Patients and methods. 32 patients with nephritis in Henoch–Schönlein purpura (15 girls and 17 boys) were enrolled into retrospective longitudinal single-center study, median of primary admission to the nephrological department was 9.0 y. o. [5; 12 y.]. Clinical features of the onset (age, form of onset, glomerular filtration rate, daily proteinuria, hematuria, serum IgA level) and the course of the disease were analyzed in all children. The morphological data were assessed using such morphological classifications as ISKDC, SQC, MEST-C. A search for statistically significant relationships between clinical and morphological data and a comparative analysis of the influence of each morphological classification on the achievement of remission were carried out.Results. The sum of the SQC scores had a statistically significant effect on the outcome (p=0.006): in patients with complete remission, on average, 4 points were obtained, patients who did not achieve remission had 2 points more. When assessing the likelihood of detecting remission depending on the total score of the Oxford scale using the ROC-analysis, a statistically significant model was obtained (p=0.012). If the total MEST-C score was less than or equal to 3, remission was predicted (=0.032). The sensitivity and specificity of the method were both 75%.Conclusions. The practical application of the Oxford MEST-C classification and the new semi-quantitative SQC classification in comparison with the ISKDC classification for children with nephritis in Henoch–Schönlein purpura is promising for predicting an unfavorable renal outcome.
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Trimarchi, Hernán, Jonathan Barratt, Daniel C. Cattran, H. Terence Cook, Rosanna Coppo, Mark Haas, Zhi-Hong Liu et al. « Oxford Classification of IgA nephropathy 2016 : an update from the IgA Nephropathy Classification Working Group ». Kidney International 91, no 5 (mai 2017) : 1014–21. http://dx.doi.org/10.1016/j.kint.2017.02.003.

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Jebali, Hela, Hiba Ghabi, Ikram Mami, BadrBen Kaab, Liliaben Fatma, Wided Smaoui, Slim Haouet et al. « Prognostic value of the Oxford classification and the Oxford score in IgA nephropathy : A Tunisian study ». Saudi Journal of Kidney Diseases and Transplantation 31, no 6 (2020) : 1366. http://dx.doi.org/10.4103/1319-2442.308348.

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Pant, Anil Dev. « The Oxford Classification of IgA nephropathy : A review of literature ». Journal of Pathology of Nepal 8, no 1 (3 avril 2018) : 1308–12. http://dx.doi.org/10.3126/jpn.v8i1.19459.

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IgA nephropathy is one of the commonest forms of primary glomerulonephritis in the world, most commonly among Asian population. Though usually slowly progressive, it is one of the important causes of chronic renal failure. Abnormal IgA1 are formed which leads to formation of IgG antibodies which deposit in the mesangium. It presents with synpharyngitic hematuria and can have variable histopathological patterns. The Oxford classification was devised in order to categorize the histopathological patterns, correlate with clinical course and modify treatment accordingly. Different histopathological criteria are assessed in the classification, which include mesangial proliferation (M), endocapilary proliferation (E), segmental sclerosis (S), and interstitial fibrosis/tubular atrophy (T).The classification has become widely accepted around the world but still needs further validation studies and incorporation of newer parameters.
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Nasri, Hamid, Mojgan Mortazavi, Ali Ghorbani, Heshmatollah Shahbazian, Soleiman Kheiri, Azar Baradaran, Afsoon Emami-Naieni et al. « Oxford-MEST classification in IgAnephropathy patinets : A report from Iran ». Journal of Nephropathology 1, no 1 (18 mars 2012) : 31–42. http://dx.doi.org/10.5812/jnp.7.

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Sparrow, J. M., N. A. Frost, E. P. Pantelides et D. A. H. Laidlaw. « Decimalization of the Oxford Clinical Cataract Classification and Grading System ». Ophthalmic Epidemiology 7, no 1 (1 janvier 2000) : 49–60. http://dx.doi.org/10.1076/0928-6586(200003)711-2ft049.

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Sparrow, J. M., N. A. Frost, E. P. Pantelides et D. A. H. Laidlaw. « Decimalization of the Oxford Clinical Cataract Classification and Grading System ». Ophthalmic Epidemiology 7, no 1 (1 mars 2000) : 49–60. http://dx.doi.org/10.1076/0928-6586(200003)7:1;1-2;ft049.

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Agrawal, V., A. Singh, A. Kaul, R. Verma, M. Jain et R. Pandey. « Utility of Oxford Classification in Post-Transplant Immunoglobulin A Nephropathy ». Transplantation Proceedings 49, no 10 (décembre 2017) : 2274–79. http://dx.doi.org/10.1016/j.transproceed.2017.10.002.

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Moriyama, Takahito, Kayu Nakayama, Chihiro Iwasaki, Ayami Ochi, Yuki Tsuruta, Mitsuyo Itabashi, Misao Tsukada, Takashi Takei, Keiko Uchida et Kosaku Nitta. « Severity of nephrotic IgA nephropathy according to the Oxford classification ». International Urology and Nephrology 44, no 4 (10 janvier 2012) : 1177–84. http://dx.doi.org/10.1007/s11255-011-0109-5.

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Roberts, Ian S. D., et H. Terence Cook. « Response to ‘Comments on the Oxford classification of IgA nephropathy’ ». Kidney International 76, no 11 (décembre 2009) : 1207. http://dx.doi.org/10.1038/ki.2009.342.

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Shima, Yuko, Koichi Nakanishi, Taketsugu Hama, Hironobu Mukaiyama, Hiroko Togawa, Yuya Hashimura, Hiroshi Kaito, Mayumi Sako, Kazumoto Iijima et Norishige Yoshikawa. « Validity of the Oxford classification of IgA nephropathy in children ». Pediatric Nephrology 27, no 5 (2 décembre 2011) : 783–92. http://dx.doi.org/10.1007/s00467-011-2061-0.

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Al Zahrani, Reem A. « Histological Features of IgA Nephropathy in Pediatrics and the Magnitude of the Disease in Saudi Children ». International Journal of Pediatrics 2023 (3 avril 2023) : 1–6. http://dx.doi.org/10.1155/2023/3466726.

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Objectives. This review addresses the microscopic features of immunoglobulin A nephropathy (IgA nephropathy), its prognostic variables in children, and measures to which extent these features and variables differ from adults. Furthermore, it describes the extent of this disease process among children in Saudi Arabia and the rest of the Arab countries and compares it with the data from the West and the Far East. Method. All the original work described the histological features of pediatric IgA nephropathy, and studies involved in developing the prognostic classification of IgA nephropathy, Oxford Classification, were reviewed. Moreover, the studies describing the crescent prevalence and outcome in pediatric IgA nephropathy in addition to thrombotic microangiopathy association were studied. National studies describing the prevalence of pediatric IgA nephropathy and pediatric crescentic glomerulonephritis were tracked with an overview of the regional data from the rest of the Arab world. Results. IgA nephropathy in children showed more glomerular proliferative changes and less glomerular vascular and tubule-interstitial chronic injury compared to adults. The reference study that described the association between thrombotic microangiopathy and IgA nephropathy did not include the pediatric age group. Moreover, it was found that the data from the Middle East was not encountered in developing the original and updated IgA nephropathy Oxford Classification. Furthermore, the prevalence of IgA nephropathy in children is described in the regional literature, but its histological features were not well detailed. Finally, the percentage of crescentic glomerulonephritis (GN) due to IgA nephropathy is less in our country compared to the West and concords with the Far East findings. Conclusion. A well-designed regional study addressing IgA nephropathy in Middle East children with a focus on histological features, association with crescent, and thrombotic microangiopathy and challenging the validity of the updated IgA nephropathy Oxford Classification is recommended.
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Giri, Santosh. « Image based flower species classification using CNN ». Journal of Innovations in Engineering Education 2, no 1 (1 mars 2019) : 182–86. http://dx.doi.org/10.3126/jiee.v2i1.36670.

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Deep learning is one of the essential parts of machine learning. Applications such as image classification, text recognition, object detection etc. used deep learning architectures. In this paper neural network model was designed for image classification. A NN classifier with one fully connected layer and one softmax layer was designed and feature extraction part of inception v3 model was reused to calculate the feature value of each images. And by using these feature values the NN classifier was trained. By adopting transfer learning mechanism NN classifier was trained with 17 classes of oxford 17 flower image dataset. The system provided final training accuracy of 99 %. After training, system was evaluated with testing dataset images. The mean testing accuracy was 86.4%.
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Yu, Fang, Xuejing Zhu, Shuguang Yuan, Xiaojun Chen, Zheng Li, Zhong Qu, Hong Liu, Lin Sun et Fuyou Liu. « Predictive value of sub classification of focal segmental glomerular sclerosis in Oxford classification of IgA nephropathy ». Annals of Medicine 53, no 1 (1 janvier 2021) : 587–95. http://dx.doi.org/10.1080/07853890.2021.1897664.

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Iluz, Aviel, Myriam Maoz, Nir Lavi, Hanna Charbit, Omer Or, Noam Olshinka, Jonathan Abraham Demma et al. « Rapid Classification of Sarcomas Using Methylation Fingerprint : A Pilot Study ». Cancers 15, no 16 (18 août 2023) : 4168. http://dx.doi.org/10.3390/cancers15164168.

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Sarcoma classification is challenging and can lead to treatment delays. Previous studies used DNA aberrations and machine-learning classifiers based on methylation profiles for diagnosis. We aimed to classify sarcomas by analyzing methylation signatures obtained from low-coverage whole-genome sequencing, which also identifies copy-number alterations. DNA was extracted from 23 suspected sarcoma samples and sequenced on an Oxford Nanopore sequencer. The methylation-based classifier, applied in the nanoDx pipeline, was customized using a reference set based on processed Illumina-based methylation data. Classification analysis utilized the Random Forest algorithm and t-distributed stochastic neighbor embedding, while copy-number alterations were detected using a designated R package. Out of the 23 samples encompassing a restricted range of sarcoma types, 20 were successfully sequenced, but two did not contain tumor tissue, according to the pathologist. Among the 18 tumor samples, 14 were classified as reported in the pathology results. Four classifications were discordant with the pathological report, with one compatible and three showing discrepancies. Improving tissue handling, DNA extraction methods, and detecting point mutations and translocations could enhance accuracy. We envision that rapid, accurate, point-of-care sarcoma classification using nanopore sequencing could be achieved through additional validation in a diverse tumor cohort and the integration of methylation-based classification and other DNA aberrations.
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Vasconcelos, André, Marilda Mazzali et Marcos Sousa. « 342.10 : IgA Nephropathy and Kidney Transplantation According to the Oxford Classification ». Transplantation 106, no 9S (septembre 2022) : S326. http://dx.doi.org/10.1097/01.tp.0000887156.03094.5f.

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Lim, Beom Jin, Dong Jin Joo, Myoung Soo Kim, Yu Seun Kim, Soon Il Kim, Yeonhee Kim, Kyu Ha Huh, Myung Ju Koh et Hyeon Joo Jeong. « Usefulness of Oxford Classification in Assessing Immunoglobulin A Nephropathy After Transplantation ». Transplantation Journal 95, no 12 (juin 2013) : 1491–97. http://dx.doi.org/10.1097/tp.0b013e318291de65.

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Markowitz, Glen. « Updated Oxford Classification of IgA nephropathy : a new MEST-C score ». Nature Reviews Nephrology 13, no 7 (22 mai 2017) : 385–86. http://dx.doi.org/10.1038/nrneph.2017.67.

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Yilmaz, Kenan, Ismail Dursun, Ruhan Dusunsel, Zubeyde Gunduz, M. Hakan Poyrazoglu, Sibel Yel et Hulya Akgun. « Evaluation of Children with IgA Nephropathy According to the Oxford Classification ». Turkish Nephrology Dialysis Transplantation 22, no 01 (16 janvier 2013) : 30–33. http://dx.doi.org/10.5262/tndt.2013.1001.04.

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Park, Sehoon, Heounjeong Go, Chung Hee Baek, Young Hoon Kim, Yong Chul Kim, Seung Hee Yang, Jung Pyo Lee et al. « Clinical importance of the updated Oxford classification in allograft IgA nephropathy ». American Journal of Transplantation 19, no 10 (20 mai 2019) : 2855–64. http://dx.doi.org/10.1111/ajt.15400.

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Shima, Yuko, Koichi Nakanishi, Taketsugu Hama, Masashi Sato, Hironobu Mukaiyama, Hiroko Togawa, Ryojiro Tanaka et al. « Biopsy timing and Oxford classification variables in Childhood/Adolescent IgA nephropathy ». Pediatric Nephrology 30, no 2 (7 juin 2014) : 293–99. http://dx.doi.org/10.1007/s00467-014-2862-z.

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Peters, Christian D., et Troels Ring. « Validation of the Oxford classification of IgA nephropathy : valid or invalid ? » Kidney International 87, no 3 (mars 2015) : 661–62. http://dx.doi.org/10.1038/ki.2014.401.

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Palamuthusingam, Dharmenaan, Clare Castledine et Sarah Lawman. « Outcomes of immunosuppression in IgA nephropathy based on the oxford classification ». Saudi Journal of Kidney Diseases and Transplantation 29, no 2 (2018) : 341. http://dx.doi.org/10.4103/1319-2442.229292.

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Mubarak, Muhammed. « Updated Oxford classification of IgA nephropathy : expanding scope of the schema ». Journal of Renal Injury Prevention 7, no 2 (12 février 2018) : 53–55. http://dx.doi.org/10.15171/jrip.2018.13.

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Nasri, Hamid, et Muhammed Mubarak. « Updated Oxford classification for IgA nephropathy ; current status and future prospects ». Journal of Nephropharmacology 8, no 1 (27 septembre 2018) : 8. http://dx.doi.org/10.15171/npj.2019.08.

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Roberts, Ian S. D., H. Terence Cook, Stéphan Troyanov, Charles E. Alpers, Alessandro Amore, Jonathan Barratt, Francois Berthoux et al. « The Oxford classification of IgA nephropathy : pathology definitions, correlations, and reproducibility ». Kidney International 76, no 5 (septembre 2009) : 546–56. http://dx.doi.org/10.1038/ki.2009.168.

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Mohajeri, N., A. Walch, D. Assouline, A. Gudmundsson, A. Smith, T. Russel et J. Hall. « Residential density classification for sustainable housing development using a machine learning approach ». Journal of Physics : Conference Series 2042, no 1 (1 novembre 2021) : 012017. http://dx.doi.org/10.1088/1742-6596/2042/1/012017.

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Abstract Using Machine Learning (ML) algorithms for classification of the existing residential neighbourhoods and their spatial characteristics (e.g. density) so as to provide plausible scenarios for designing future sustainable housing is a novel application. Here we develop a methodology using a Random Forests algorithm (in combination with GIS spatial data processing) to detect and classify the residential neighbourhoods and their spatial characteristics within the region between Oxford and Cambridge, that is, the ‘Oxford-Cambridge Arc’. The classification model is based on four pre-defined urban classes, that is, Centre, Urban, Suburban, and Rural for the entire region. The resolution is a grid of 500 m × 500 m. The features for classification include (1) dwelling geometric attributes (e.g. garden size, building footprint area, building perimeter), (2) street networks (e.g. street length, street density, street connectivity), (3) dwelling density (number of housing units per hectare), (4) building residential types (detached, semi-detached, terraced, and flats), and (5) characteristics of the surrounding neighbourhoods. The classification results, with overall average accuracy of 80% (accuracy per class: Centre: 38%, Urban 91%, Suburban 83%, and Rural 77%), for the Arc region show that the most important variables were three characteristics of the surrounding area: residential footprint area, dwelling density, and number of private gardens. The results of the classification are used to establish a baseline for the current status of the residential neighbourhoods in the Arc region. The results bring data-driven decision-making processes to the level of local authority and policy makers in order to support sustainable housing development at the regional scale.
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Duman, Burhan, et Ahmet Ali Süzen. « A Study on Deep Learning Based Classification of Flower Images ». International Journal of Advanced Networking and Applications 14, no 02 (2022) : 5385–89. http://dx.doi.org/10.35444/ijana.2022.14209.

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Deep learning techniques are becoming more and more common in computer vision applications in different fields, such as object recognition, classification, and segmentation. In the study, a classification application was made for flower species detection using the deep learning method of different datasets. The pre-learning MobileNet, DenseNet, Inception, and ResNet models, which are the basis of deep learning, are discussed separately. In experimental studies, models were trained with flower classes with five (flower dataset) and seventeen (Oxford 17) types of flowers and their performances were compared. Performance tests, it is aimed to measure the success of different model optimizers in each data set. For the Oxford-17 data set in experimental studies; With Adam optimizer 93.14% in MobileNetV2 model, 95.59% with SGD optimizer, 92.85% with Adam optimizer in ResNet152v2 model, 88.96% with SGD optimizer, 91.55% with Adam optimizer in InceptionV3 model, 91.55% with SGD optimizer Validation accuracy of 87.66, InceptionResnetV2 model was 86.36% with Adam optimizer, 83.76% with SGD optimizer, 94.16% with Adam optimizer in DenseNet169 model and 90.91% with SGD optimizer. For the dataset named Flower dataset; With Adam optimizer 91.62% in MobileNetV2 model, 80.80% with SGD optimizer, 92.94% with Adam optimizer in ResNet152v2 model, 85.03% with SGD optimizer, 90.71% with Adam optimizer in InceptionV3 model, 82% with SGD optimizer, 62, InceptionResnetV2 model, 88.62% with Adam optimizer, 81.84% with SGD optimizer, 90.03% with Adam optimizer in DenseNet169 model, 82.89% with SGD optimizer. When the results are compared, it is seen that the performance rate of deep learning methods varies in some models depending on the number of classes in the data set, and in most models depending on the optimizer type.
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Bellur, Shubha S., Ian S. D. Roberts, Stéphan Troyanov, Virginie Royal, Rosanna Coppo, H. Terence Cook, Daniel Cattran et al. « Reproducibility of the Oxford classification of immunoglobulin A nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements : evidence from the VALidation of IGA study cohort ». Nephrology Dialysis Transplantation 34, no 10 (15 décembre 2018) : 1681–90. http://dx.doi.org/10.1093/ndt/gfy337.

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Abstract Background The VALidation of IGA (VALIGA) study investigated the utility of the Oxford Classification of immunoglobulin A nephropathy (IgAN) in 1147 patients from 13 European countries. Methods. Biopsies were scored by local pathologists followed by central review in Oxford. We had two distinct objectives: to assess how closely pathology findings were associated with the decision to give corticosteroid/immunosuppressive (CS/IS) treatments, and to determine the impact of differences in MEST-C scoring between central and local pathologists on the clinical value of the Oxford Classification. We tested for each lesion the associations between the type of agreement (local and central pathologists scoring absent, local present and central absent, local absent and central present, both scoring present) with the initial clinical assessment, as well as long-term outcomes in those patients who did not receive CS/IS. Results All glomerular lesions (M, E, C and S) assessed by local pathologists were independently associated with the decision to administer CS/IS therapy, while the severity of tubulointerstitial lesions was not. Reproducibility between local and central pathologists was moderate for S (segmental sclerosis) and T (tubular atrophy/interstitial fibrosis), and poor for M (mesangial hypercellularity), E (endocapillary hypercellularity) and C (crescents). Local pathologists found statistically more of each lesion, except for the S lesion, which was more frequent with central review. Disagreements were more likely to occur when the proportion of glomeruli affected was low. The M lesion, assessed by central pathologists, correlated better with the severity of the disease at presentation and discriminated better with outcomes. In contrast, the E lesion, evaluated by local pathologists, correlated better with the clinical presentation and outcomes when compared with central review. Both C and S lesions, when discordant between local and central pathologists, had a clinical phenotype intermediate to double absent lesions (milder disease) and double present (more severe). Conclusion We conclude that differences in the scoring of MEST-C criteria between local pathologists and a central reviewer have a significant impact on the prognostic value of the Oxford Classification. Since the decision to offer immunosuppressive therapy in this cohort was intimately associated with the MEST-C score, this study indicates a need for a more detailed guidance for pathologists in the scoring of IgAN biopsies.
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Zainuddin, Kamilah, et Noor Asmaa' Hussein. « An Analysis on Newly Introduced English Verb in Oxford English Dictionary in 2016-2018 : Levin’s Taxonomy of Verb Classification and Verbnet ». International Journal of Modern Languages And Applied Linguistics 5, no 4 (6 décembre 2021) : 26. http://dx.doi.org/10.24191/ijmal.v5i4.15023.

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Levin (1993) argues that the behaviour of verbs is determined by word meaning which is directly linked to the expression and interpretation of its argument. Based on this statement, Levin classified verbs into 48 classes and VerbNet, an English verb lexicon was created based on the extension of Levin’s taxonomy of verb classification (VC). Therefore, this study presents the classification of the updated English verbs of 2016 to 2018 in the online version of the Oxford English Dictionary (OED) to examine the relevance of Levin’s VC and VerbNet in the recently added repertoire of verbs. In Addition, the study seeks to find out the new verb classes introduced in this study. This study uses a mixed-method to identify and classify the verbs. To conclude, this study found that both classifications were applicable and relevant in 14 new main verb classes introduced to classify the verbs that did not belong to Levin’s VC and VerbNet. Hence, this contributes to the body of knowledge as the newly introduced verb classes could be used based on the given semantic and syntactic conditions.
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