Objectives: Fine-needle aspiration cytology (FNAC) of the salivary gland lesions has diverse and sometimes overlapping features that pose a diagnostic challenge for the cytopathologists. The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) has been introduced to bring uniformity in the reporting of salivary gland FNAC and improve the clinic-pathologic communication resulting in better patient management. The aim of the present study was to assess the application of the MSRSGC on FNAC specimens of salivary gland lesions at a tertiary care hospital. Material and Methods: All salivary gland aspiration cytology cases along with histopathology follow-up of salivary gland lesions, wherever available, over a period of 36 months were analyzed and re-categorized according to MSRSGC into six categories and the risk of malignancy (ROM) was computed. Results: Of the 123 patients, 23 (18.69%) were classified as non-diagnostic, 39 cases (31.7%) as non-neoplastic, one (0.81%) as atypia of undetermined significance (AUS), benign neoplasm in 49 (39.8%) cases, uncertain malignant potential in two cases (1.63%), suspicious of malignancy in two cases, and malignant in seven cases (5.69%). Out of 123 cases, histopathological correlation was available in 34 cases, for which the ROM was calculated. The ROM was 0% for non-neoplastic, 11.1% for benign neoplasm, and 100% each for salivary neoplasm of uncertain neoplastic potential, and 100% for malignant categories. Conclusion: In the present study, the distribution of cases according to MSRSGC was comparable with the previous studies. The proportion of cases classified as AUS was within the goal set by MSRSGC at less than 10%. A risk-based stratification of salivary gland lesions in the form of MSRSGC is essential in the present era to guide and alert the clinician about the subsequent management plan and convey the ROM.

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Background Life cycle prediction measures, that provide information on the probability of failure of equipments, have been applied in electronic and mechanical engineering and for predicting the strength of dental implants. However, the same has not been utilized as yet in medical equipment such as hematology analyzers. Methods Failure data of five automated hematology analyzers (3-part differential) was collected over 14 consecutive months and a Weibull probability plot was made. The scale and shape parameters of this plot were used to predict failure probability distribution. This was then combined with various costs involved in remedial maintenance to get a cost analysis. Results The analyzers in their "useful life" period were found to suffer fewer actual and predicted failures compared to those in the "wear out" phase. Cost analysis showed a considerably higher per month cost of remedial maintenance of analyzers compared to the price of a comprehensive maintenance contract. Conclusions Our study demonstrates, for the first time, that Weibull distribution can be applied well to hematology analyzers for modeling of failure data and the resultant information is helpful in the cost analysis of maintenance to allow for prudent and informed decision making with regards to the mode of maintenance of analyzers.

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Background: This study was carried out to identify important zoonotic diseases of beef cattle at slaughter in Bangladesh. Methods: A total of 20 slaughtered cattle of both sexes, different ages and breeds were taken under investigation from Nilphamari, Rajshahi and Mymensingh district, Bangladesh during July to October, 2017. Detailed ante-mortem and post-slaughter lesions were inspected and the tissues from the lungs, liver, kidney and spleen were collected aseptically for histopathological examination. The tissue sections were processed and stained with hematoxylin and eosin (H&E) stain, acid fast stain and Gram stain. To detect the presence of specific microorganism in the tissues, the genomic DNA was extracted and polymerase chain reaction (PCR) was carried out. Results: Grossly, liver appeared as most affected organ followed by lungs, kidney and spleen. Wide spread necrosis and pipe steam liver due to fascioliasis (n=4), hydatidosis in lungs (n=3), congestion in the kidney (n=4) and petechial hemorrhage (n=2) in the spleen were the predominant lesions observed in the slaughtered cattle. H&E staining of tissue sections revealed granulomas in two liver and one lungs. Lung section stained with acid fast stain detected the acid fast bacilli in a case. Tissue sections stained with Gram stain showed cocci bacteria in the liver of two cattle. The PCR confirmed the presence of Mycobacterium tuberculosis in a cattle. Conclusions: Fascioliasis, hydatidosis and important zoonotic disease like tuberculosis are prevalent in the slaughtered cattle in Bangladesh. PCR technology appeared as a sensitive and specific screening test to diagnose tuberculosis. However, screening of large number of samples is necessary to detect the presence of important zoonotic diseases in cattle for safe beef production.