Jacek Wydra

Mr. Jacek Wydra

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2017 in Gastroenterology Review
Verified
Journal Article
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MCMaciej Ciesielski
Maciej Ciesielski
WKWiesław Janusz Kruszewski
Wiesław Janusz Kruszewski
JWJakub Walczak
Jakub Walczak
MSMariusz Szajewski
Mariusz Szajewski
JSJarosław Szefel
Jarosław Szefel
MCMaksymilian Czerepko
Maksymilian Czerepko
Introduction : Surgical resection is the only potentially curative modality for gastric cancer and it is associated with substantial morbidity and mortality. Aim: To determine risk factors for postoperative morbidity and mortality following major surgery for gastric cancer. Material...

6 January 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
MSMałgorzata Siger
Małgorzata Siger
JWJacek Wydra
Jacek Wydra
PWPaula Wildner
Paula Wildner
MPMarek Podyma
Marek Podyma
TPTomasz Puzio
Tomasz Puzio
MŚMariola Świderek-Matysiak
Mariola Świderek-Matysiak
Conventional brain magnetic resonance imaging (MRI) in systemic diseases with central nervous system involvement (SDCNS) may imitate MRI findings of multiple sclerosis (MS). In order to better describe the MRI characteristics of these conditions, in our study we assessed brain volume parameters in MS (n = 58) and SDCNS (n = 41) patients using two-dimensional linear measurements (2DLMs): bicaudate ratio (BCR), corpus callosum index (CCI) and width of third ventricle (W3V). In SDCNS patients, all 2DLMs were affected by age (CCI p = 0.005, BCR p < 0.001, W3V p < 0.001, respectively), whereas in MS patients only BCR and W3V were (p = 0.001 and p = 0.015, respectively). Contrary to SDCNS, in the MS cohort BCR and W3V were associated with T1 lesion volume (T1LV) (p = 0.020, p = 0.009, respectively) and T2 lesion volume (T2LV) (p = 0.015, p = 0.009, respectively). CCI was associated with T1LV in the MS cohort only (p = 0.015). Moreover, BCR was significantly higher in the SDCNS group (p = 0.01) and CCI was significantly lower in MS patients (p = 0.01). The best predictive model to distinguish MS and SDCNS encompassed gender, BCR and T2LV as the explanatory variables (sensitivity 0.91; specificity 0.68; AUC 0.86). Implementation of 2DLMs in the brain MRI analysis of MS and SDCNS patients allowed for the identification of diverse patterns of local brain atrophy in these clinical conditions.