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001-es BibID:BIBFORM099490
035-os BibID:(WoS)000747614400001 (Scopus)85121503950 (cikkazonosító)19
Első szerző:Bencze János (orvos)
Cím:Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry / János Bencze, Máté Szarka, Balázs Kóti, Woosung Seo, Tibor G. Hortobágyi, Viktor Bencs, László V. Módis, Tibor Hortobágyi
Dátum:2021
ISSN:2218-273X
Megjegyzések:Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on chromogen-labelled immunohistochemical (IHC) tissue sections. However, it suffers from several disadvantages, including its lack of objectivity and the fact that it is a time-consuming process. Our aim was to test a recently established artificial intelligence (AI)-aided digital image analysis platform, Pathronus, and to compare it to conventional scoring by five observers on chromogenic IHC-stained slides belonging to three experimental groups. Because Pathronus operates on grayscale 0-255 values, we transformed the data to a seven-point scale for use by pathologists and scientists. The accuracy of these methods was evaluated by comparing statistical significance among groups with quantitative fluorescent IHC reference data on subsequent tissue sections. The pairwise inter-rater reliability of the scoring and converted Pathronus data varied from poor to moderate with Cohen's kappa, and overall agreement was poor within every experimental group using Fleiss' kappa. Only the original and converted that were obtained from Pathronus original were able to reproduce the statistical significance among the groups that were determined by the reference method. In this study, we present an AI-aided software that can identify cells of interest, differentiate among organelles, protein specific chromogenic labelling, and nuclear counterstaining after an initial training period, providing a feasible and more accurate alternative to semi-quantitative scoring.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Biomolecules. - 12 : 1 (2021), p. 1-14. -
További szerzők:Szarka Máté (1990-) Kóti Balázs Seo, Woosung Hortobágyi Tibor G. (1998-) (orvostanhallgató) Bencs Viktor (1995-) (orvos) Módis László V. (neurológus) Hortobágyi Tibor (1965-) (patológus)
Pályázati támogatás:EFOP-3.6.2-16-2017-00009
EFOP
ÚNKP-21-3
Egyéb
Nemzeti Agykutatási Program KTIA_13_NAP-A-II/7
Egyéb
NKFIH_SNN_132999
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM083679
Első szerző:Bencze János (orvos)
Cím:Dementia with Lewy bodies - a clinicopathological update / János Bencze, Woosung Seo, Abdul Hye, Dag Aarsland, Tibor Hortobágyi
Dátum:2020
Megjegyzések:Dementia is one of the major burdens of our aging society. According to certain predictions, the number of patients will double every 20 years. Although Alzheimer's disease (AD), as the most frequent neurodegenera-tive dementia, has been extensively analysed, less is known about dementia with Lewy bodies (DLB). Neuropa-thological hallmarks of DLB are the deposition of intracellular Lewy bodies (LB) and Lewy neurites (LN). DLB belongs to the ?-synucleinopathies, as the major component of these inclusions is pathologically aggregated ?-synuclein. Depending on the localizationof LBs and LNs in the central nervous system cognitive and motor symptoms can occur. In our work, we will systematically review the possible etiology and epidemiology, patho-logical (both macroscopic and microscopic) features, structural and functional imaging findings, with a special emphasis on the clinico-pathological correlations. Finally, we summarize the latest clinical symptoms-based diagnostic criteria and the novel therapeutic approaches. Since DLB is frequently accompanied with AD pathol-ogy, highlighting possible differential diagnostic approaches is an integral part of our paper. Although our pre-sent knowledge is insufficient, the rapid development of diagnostic and research methodsprovide hope for better diagnosis and more efficient treatment, contributing to a better quality of life.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Free Neuropathology. - 1 (2020), p. 1-12. -
További szerzők:Seo, Woosung Hye, Abdul Aarsland, Dag Hortobágyi Tibor (1965-) (patológus)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00009
EFOP
GINOP-2.3.2-15-2016-00043
GINOP
NAP (2017-1.2.1-NKP-2017-00002)
Egyéb
ÚNKP-19-3
Egyéb
NKFIH SNN 132999
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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