Paraungvalni tumor? - Ne, samo tungiaza

Background. Tunga penetrans is a burrowing flea that is prevalent in Central and South America, the Caribbean, tropical Africa, India and Pakistan. Tungiasis results from cutaneous infestation by gravid female flea, Tunga penetrans. Case report. We report a case of tungiasis in a male who had been on a tourist expedition to Bolivia and Peru. The condition had manifested as aparaungual infiltration of a toe, that was clinically suspicious for tumor. Conclusions. Microscopic examination of the lesion and travel history led to the diagnosis of tungiasis. This is the first case report of Tunga penetrans infestation in Slovenia.Izhodišča. Tunga penetrans je zajedalska bolha, ki živi predvsem v Centralni in Južni Ameriki, Karibih, tropski Afriki, Indiji in v Pakistanu. Tungiaza nastane, ko se naseli v kožo gostitelja gravidna bolšja samica. Prikaz primera. Opisujemo primer tungiaze pri pacientu, ki je bil pred tem na turističnem pohodu v Boliviji in Peruju. Bolnik je opazil paraungvalno infiltracijo kože palca na nogi. Ker je bila sprememba klinično sumljiva za tumor, so napravili ekscizijsko biopsijo. Zaključki. Za pravilno diagnozo sta bili odločilni histološka slika in podatek o potovanju. Gre za prvi opisan primer tungiaze v Sloveniji

Patient survival after surgical resection of pelvic bone sarcomas: A nationwide cohort study

Background: Pelvic bone sarcomas are extremely rare malignant tumours. Patients require a multidisciplinary approach to plan the treatment and complex surgical resections and limb-sparing reconstructions associated with complications, revisions, and functional limitations. The presented nationwide study in the Republic of Slovenia aims to analyse the oncological survival and functional outcomes of patients after primary resection of pelvic bone sarcomas. Methods: The retrospective observational cohort included 21 consecutive patients who underwent limb-sparing pelvic resection at a specialized orthopaedic oncology centre in the Republic of Slovenia between 2004-2022. Patient survival, complication rates, and functional outcomes were analysed according to to the primary diagnosis. Results: Wide margins with R0 resection were achieved in 16 (76%) cases. After a median follow-up of 5.7 (0.6-18.1) years, 7 (33%) patients died of oncological disease, 3 (14%) patients were alive with oncological disease, and 11 (53%) patients were alive with no evidence of disease. The estimated Kaplan-Meier survival probability at 2 years, 5 years, and 10 years after pelvic resection was 85%, 73%, and 45%, respectively. The major complication rate was 29%. The mean Musculoskeletal Tumour Society Score was 17.5 (range 2-29). Conclusions: Patient survival after resection of pelvic bone sarcomas in Slovenia between 2004-2022 is comparable to previously published reports of European and North American countries. Wide resection of tumours with reconstruction provides a relatively good survival rate, although complications are common and functional outcomes are often poor

Sarkomi: doktrina načela zdravljenja in klinične poti

No abstract.Ni abstrakta

Smernice za diagnostiko, zdravljenje in sledenje bolnikov s sarkomi mehkih tkiv in kosti

no abstractni abstrakt

Assessment of the Bankruptcy Risk in the Hotel Industry as a Condition of the COVID-19 Crisis Using Time-Delay Neural Networks

In this paper we demonstrate a new conceptual framework in the application of multilayer perceptron (MLP) artificial neural networks (ANNs) to bankruptcy risk prediction using different time-delay neural network (TDNN) models to assess Altman’s EM Z″-score risk zones of firms for a sample of 100 companies operating in the hotel industry in the Republic of Serbia. Hence, the accuracies of 9580 forecasting ANNs trained for the period 2016 to 2021 are analyzed, and the impact of various input parameters of different ANN models on their forecasting accuracy is investigated, including Altman’s bankruptcy risk indicators, market and internal nonfinancial indicators, the lengths of the learning periods of the ANNs and of their input parameters, and the K-means clusters of risk zones. Based on this research, 11 stability indicators (SIs) for the years under analysis are formulated, which represent the generalization capabilities of ANN models, i.e., differences in the generalization errors between the preceding period and the year for which zone assessment is given; these are seen as a consequence of structural changes at the industry level that occurred during the relevant year. SIs are validated through comparison with the relative strength index (RSI) for descriptive indicators of Altman’s model, and high correlation is found. Special focus is placed on the identification of the stability in 2020 in order to assess the impact of the COVID-19 crisis during that year. It is established that despite the fact that the development of bankruptcy risk in the hotel industry in the Republic of Serbia is a highly volatile process, the largest changes in the analyzed period occurred in 2020, i.e., the potential applications of ANNs for forecasting zones in 2020 are limited