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001-es BibID:	BIBFORM118662
035-os BibID:	(WoS)001161390600001 (Scopus)85185143533
Első szerző:	Baráth Sándor (biológus)
Cím:	Enhancing HLA-B27 antigen detection : Leveraging machine learning algorithms for flow cytometric analysis / Baráth Sándor, Singh Parvind, Hevessy Zsuzsanna, Ujfalusi Anikó, Mezei Zoltán, Balogh Mária, Száraz Széles Marianna, Kappelmayer János
Dátum:	2024
ISSN:	1552-4949
Megjegyzések:	As the association of human leukocyte antigen B27 (HLA-B27) with spondylarthropathies is widely known, HLA-B27 antigen expression is frequently identified using flow cytometric or other techniques. Because of the possibility of cross-reaction with off target antigens, such as HLA-B7, each flow cytometric technique applies a "gray zone" reserved for equivocal findings. Our aim was to use machine learning (ML) methods to classify such equivocal data as positive or negative. Equivocal samples (n = 99) were selected from samples submitted to our institution for clinical evaluation by HLA-B27 antigen testing. Samples were analyzed by flow cytometry and polymerase chain reaction. Features of histograms generated by flow cytometry were used to train and validate ML methods for classification as logistic regression (LR), decision tree (DT), random forest (RF) and light gradient boost method (GBM). All evaluated ML algorithms performed well, with high accuracy, sensitivity, specificity, as well as negative and positive predictive values. Although, gradient boost approaches are proposed as high performance methods; nevertheless, their effectiveness may be lower for smaller sample sizes. On our relatively smaller sample set, the random forest algorithm performed best (AUC: 0.92), but there was no statistically significant difference between the ML algorithms used. AUC values for light GBM, DT, and LR were 0.88, 0.89, 0.89, respectively. Implementing these algorithms into the process of HLA-B27 testing can reduce the number of uncertain, false negative or false positive cases, especially in laboratories where no genetic testing is available.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Cytometry Part B-Clinical Cytometry. - [Epub ahead of print] (2024). -
További szerzők:	Singh, Parvind (1995-) (PhD hallgató) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos) Ujfalusi Anikó (1968-) (gyermekorvos, laboratóriumi szakorvos) Mezei Zoltán András (1980-) (orvos) Balogh Mária Széles Mariann Kappelmayer János (1960-) (laboratóriumi szakorvos)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM073510
Első szerző:	Kárai Bettina (orvos)
Cím:	The impact of delayed sample handling and type of anticoagulant on the interpretation of dysplastic signs detected by flow cytometry / Bettina Kárai, Zsófia Miltényi, Lajos Gergely, Marianna Száraz-Széles, János Kappelmayer, Zsuzsanna Hevessy
Dátum:	2018
Megjegyzések:	Introduction: A growing body of evidence supports the usefulness of dysplastic signs detected by flow cytometry in the diagnosis of myelodysplastic syndromes (MDS). Our aim was to assess the impact of pre-analytical variables (delayed sample handling, type of anticoagulant, and different clones of antibody) in the interpretation of flow cytometric results.Material and methods: Bone marrow samples were labelled and analysed immediately after aspiration and on two consecutive days. The effect of anticoagulant type was evaluated in 16 bone marrow samples. Thirty-seven different immunophenotypic variables were recorded after eight-colour staining. Furthermore, 8 normal peripheral blood samples collected in K3-EDTA and Na-heparin were examined with different clones of CD11bantibodies and four parameters were recorded with both anticoagulants on two consecutive days.Results: Fourteen significant differences were detected in the initial immunophenotype of fresh samples collected in K3-EDTA and Na-heparin. Regardless of the anticoagulant type, eleven parameters remained stable despite delayed sample handling. Due to delayed sample processing, more alterations were detected in the samples collected in K3-EDTA than in the samples collected in Na-heparin. The type of CD11b clone influenced the reduction of fluorescence intensity only in samples collected in K3-EDTA, where the alterations were contrary to the changes observed in Na-heparin.Conclusions: Delayed sample processing causes considerable immunohenotypic alterations, which can lead to false interpretation of the results.If delayed sample evaluation is unavoidable, markers that remain more stable over time should be considered with more weight in the diagnosis of MDS.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban myelodysplastic syndromes flow cytometry pre-analytical error
Megjelenés:	Biochemia Medica 28 : 2 (2018), p. 1-13. -
További szerzők:	Miltényi Zsófia (1975-) (belgyógyász, haematológus) Gergely Lajos Széles Mariann Kappelmayer János (1960-) (laboratóriumi szakorvos) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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