Prostate cancer (PCa) is the second most diagnosed cancer in men. Early diagnosis and right management of PCa is critical to reducing deaths; the life expectancy is the main factors to be considered in the management of PCa. Among patients who die from PCa, the incidence of skeletal involvement appears to be >85%. Bone scan (BS) is the most common method for monitoring bone metastases in patients with PCa. The extent of bone metastasis was also associated with patient survival until now there is no clinically useful technique for measuring bone tumors and includes this information in the risk assessment. An alternative approach is to calculate a BS index (BSI) and it has shown clinical significance as a prognostic imaging biomarker. Some computer-assisted diagnosis (CAD) systems have been developed to measure BSI and are now available. The aim of this study was to investigate automated BSI (aBSI) measurements as predictors’ survival in PCa. Retrospectively cohort studied fifty patients with PCa who had undergone BS between January 2010 and December 2011 at our institution. All data collected was updated up to August 2016. CAD system analyzing BS images to automatically compute BSI measurements. Patients were stratified into three BSI categories BSI value 0, BSI value ≤1 and BSI value >1. Kaplan–Meier estimates of the survival function and the log-rank test were used to indicate a significant difference between groups stratified in accordance with the BSI values. A total of 35 subjects deaths were registered, with a median survival time 36 months after the follow-up BS of 5 years. Subjects with low aBSI value had longer overall survival in comparison with the other subjects (P = 0.004). aBSI measurements were shown to be a strong prognostic survival indicator in PCa; survival is poor in high-BSI value.

Thyroid nodule is one of the most common endocrine diseases in the world; it occurs in 4–7% of the general population. Depending on the method of discovery, 4–8% nodules are discovered using palpation, 10–41% with ultrasound (US), and 50% through autopsy where only 20% or less of cold thyroid nodules are caused by cancerous lesions. The aim of this study was to assess US as supporting modality for thyroid scintigraphy to predict malignancy in patient with thyroid cold nodules. In a retrospective study between 2009 and 2013, we analyzed 399 subjects with cold thyroid nodule, where 39 subjects (36 women and 3 men) presented with malignant thyroid cold nodule and 19 subjects underwent US. The US showed malignancy parameters in 8 (42.11%) subjects, while the rest of the 11 (57.89%) subject were benign. Out of all the subjects who underwent US in this study, only 8 (42.11%) subjects shown malignancy characteristics in cold thyroid nodule with papillary thyroid cancer (PTC). That means US parameters of malignant thyroid nodule do not always show up in malignant cold thyroid nodule.

The transmission of COVID-19 infection is rapidly spreading in Indonesia, All people are at risk of COVID-19 infection, especially health workers. Factors that may increase the risk of COVID-19 transmission necessitate being explored more. This study aims to find out what factors are associated with the incidence of COVID-19 infection in COVID-19 survivors at Kariadi Hospital Semarang. This study has used a retrospective observational design, with a quantitative analysis conducted involving 80 COVID-19 survivors (health workers = 63 respondents, non-health workers = 17 respondents). Respondents' characteristics questionnaire, exposure questionnaires and knowledge, attitude and practice questionnaires were filled out by respondents through google form and then were analyzed by chi-square test. Most of the COVID-19 survivors in this study were male (52.5%), had a bachelor's degree (50%), married (77.5%), had no comorbidities (73.5%), had a high level of knowledge (90%), appropriate attitude (90%), and good preventive practice (95%), and the most common symptom of COVID-19 experienced was fever (15, 95%). The incidence of COVID-19 infection was significantly more in health worker survivors which were male (p = 0.032), as civil servants (ASN) (p = 0.00), had undergraduate education level (p = 0.00) and hospitalized during COVID-19 infection (p = 0.002). Factors related to the incidence of COVID-19 infection in this study were gender, occupation, education level, and hospitalisation place. Adequate screening and mitigation of COVID-19 risk groups are urgently needed.