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dc.contributor.authorHorváth, Dávid Géza
dc.contributor.authorAbonyi-Tóth, Zsolt
dc.contributor.authorPapp, Márton
dc.contributor.authorSzász, Attila Marcell
dc.contributor.authorRümenapf, Till
dc.contributor.authorKnecht, Christian
dc.contributor.authorKreutzmann, Heinrich
dc.contributor.authorLadinig, Andrea
dc.contributor.authorBalka, Gyula
dc.date.accessioned2024-09-23T10:50:21Z
dc.date.available2024-09-23T10:50:21Z
dc.date.issued2023
dc.identifier.citationHorváth, Dávid G., Zsolt Abonyi-Tóth, Márton Papp, Attila Marcell Szász, Till Rümenapf, Christian Knecht, Heinrich Kreutzmann, Andrea Ladinig, and Gyula Balka. 2023. "Quantitative Analysis of Inflammatory Uterine Lesions of Pregnant Gilts with Digital Image Analysis Following Experimental PRRSV-1 Infection" Animals 13, no. 5: 830. https://doi.org/10.3390/ani13050830en_US
dc.identifier.urihttp://hdl.handle.net/10832/4078
dc.description.abstractReproductive disorders caused by porcine reproductive and respiratory syndrome virus-1 are not yet fully characterized. We report QuPath-based digital image analysis to count inflammatory cells in 141 routinely, and 35 CD163 immunohistochemically stained endometrial slides of vaccinated or unvaccinated pregnant gilts inoculated with a high or low virulent PRRSV-1 strain. To illustrate the superior statistical feasibility of the numerical data determined by digital cell counting, we defined the association between the number of these cells and endometrial, placental, and fetal features. There was strong concordance between the two manual scorers. Distributions of total cell counts and endometrial and placental qPCR results differed significantly between examiner1’s endometritis grades. Total counts’ distribution differed significantly between groups, except for the two unvaccinated. Higher vasculitis scores were associated with higher endometritis scores, and higher total cell counts were expected with high vasculitis/endometritis scores. Cell number thresholds of endometritis grades were determined. A significant correlation between fetal weights and total counts was shown in unvaccinated groups, and a significant positive correlation was found between these counts and endometrial qPCR results. We revealed significant negative correlations between CD163+ counts and qPCR results of the unvaccinated group infected with the highly virulent strain. Digital image analysis was efficiently applied to assess endometrial inflammation objectively.en_US
dc.language.isoenen_US
dc.titleQuantitative Analysis of Inflammatory Uterine Lesions of Pregnant Gilts with Digital Image Analysis Following Experimental PRRSV-1 Infectionen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ani13050830


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