Algorithms are compared to state-of-the-art algorithms such as Naïve, WFD, and WFD-INC. NaïveAA is shown to operate in constant time and therefore is suitable as a basic benchmark for frontier detection algorithms. EWFD and FTFD are found to be significantly faster than other algorithms.[This corrects the article DOI 10.3389/fmolb.2019.00108.].Background SARS-CoV-2 is a new disease with some manifestations not yet well-known. Sharing experiences in this topic is crucial for the optimal management of the patients. Case Presentation Left upper extremity deep vein thrombosis (UEDVT) due to a mediastinal mass strongly suspected of lymphoproliferative disease in a patient affected by SARS-CoV-2, disappearing at the resolution of the viral infection. Conclusion Before proceeding to surgical biopsy, mediastinal mass in SARS-CoV-2 patients must be revaluated after the resolution of the infection.Purpose Several studies have demonstrated an advantage of 68Ga-PSMA-PET/CT as staging modality for detection of prostate cancer (PCa) metastases. Data concerning metastatic manifestation and impact on PCa development of mesorectal lymph nodes (MLN) is limited. Our investigation describes MLN metastases as index lesion in 68Ga-PSMA PET/CT imaging for recurrent PCa. Methods Twelve PCa patients with biochemical recurrence (BCR) after primary therapy who prospectively underwent a baseline 68Ga-PSMA-PET/CT initially showed MLN metastases. Eight of these patients received a follow-up 68Ga-PSMA-PET/CT to evaluate treatment response and further evolution. Prostate-specific antigen (PSA)-levels, changes in PSMA-uptake of MLN metastases and further 68Ga-PSMA PET/CT findings were recorded. Results Median PSA at the first 68Ga-PSMA-PET/CT was 5.39 ng/ml. In all patients therapeutic management changed after the first 68Ga-PSMA-PET/CT. Androgen deprivation therapy (ADT) was initiated in seven of eight patients, one patient restarted initial ADT.  https://www.selleckchem.com/products/blu-451.html  Three patients additionally received salvage radiation therapy (sRT) including the prostatic lodge and docetaxel chemotherapy was started in one case. At follow-up, a decrease of PSA-level was detected in all patients (median 2.05 ng/ml) after median 10 months. In six of eight patients we observed a decrease or complete regress of PSMA-uptake in MLN in the follow-up 68Ga-PSMA-PET/CT. Conclusion MLN metastases detected by 68Ga-PSMA-PET/CT seem to be a relevant localization of tumor manifestation and may serve as index lesion in the treatment of recurrent PCa. Besides the known oncological benefits of ADT and sRT, in case of sole MLN metastases individualized therapy like salvage lymphadenectomy or RT with a defined radiation field could be options for these patients.Objective To investigate temporal trends in prostate cancer (PCa) radical prostatectomy (RP) candidates. Materials and Methods Patients who underwent RP for PCa between January 2014 and December 2019 were identified form our institutional database. Trend analysis and logistic regression models assessed RP trends after stratification of PCa patients according to D'Amico classification and Gleason score. Patients with neoadjuvant androgen deprivation or radiotherapy prior to RP were excluded from the analysis. Results Overall, 528 PCa patients that underwent RP were identified. Temporal trend analysis revealed a significant decrease in low-risk PCa patients from 17 to 9% (EAPC -14.6%, p less then 0.05) and GS6 PCa patients from 30 to 14% (EAPC -17.6%, p less then 0.01). This remained significant even after multivariable adjustment [low-risk PCa (OR) 0.85, p less then 0.05 and GS6 PCa (OR) 0.79, p less then 0.001]. Furthermore, a trend toward a higher proportion of intermediate-risk PCa undergoing RP was recorded. Conclusion Our results confirm that inverse stage migration represents an ongoing phenomenon in a contemporary RP cohort in a European tertiary care PCa center. Our results demonstrate a significant decrease in the proportion of low-risk and GS6 PCa undergoing RP and a trend toward a higher proportion of intermediate-risk PCa patients undergoing RP. This indicates a more precise patient selection when it comes to selecting suitable candidates for definite surgical treatment with RP.Background The evidence regarding the association between added sugar (AS) intake and obesity remains inconsistent. The aim of this study was to investigate the association between changes in the percentage of energy intake from AS (EAS%) and changes in body weight in a cohort study of older Australians during 15 years of follow-up. In addition, associations were assessed according to whether EAS% intake was provided from beverage or non-beverage sources. Methods Data were analyzed from the participants of the Blue Mountains Eye Study Cohort. Dietary data were collected at baseline (1992-94) and three five-yearly intervals using a 145-item food frequency questionnaire. Participants' body weight was measured at each time point. Five-yearly changes in EAS% intake and body weight were calculated (n = 1,713 at baseline). A generalized estimating equation (GEE) model was used to examine the relationship between the overall five-yearly changes in EAS% intake and body weight, adjusted for dietary and lifestyle variables. Results In each time interval, the EAS% intake decreased by ~5% in the lowest quartile (Q1) and increased by ~5% in the highest quartile (Q4). The mean (SD) body weight change in Q1 and Q4 were 1.24 (8.10) kg and 1.57 (7.50) kg (first time interval), 0.08 (6.86) kg and -0.19 (5.63) kg (second time interval), and -1.22 (5.16) kg and -0.37 (5.47) kg (third time interval), respectively. In GEE analyses, the overall five-yearly change in EAS% intake was not significantly associated with body weight change (P trend = 0.837). Furthermore, no significant associations were observed between changes in EAS% intake from either beverage or non-beverage sources and changes in body weight (P trend for beverage sources = 0.621 and P trend for non-beverage sources = 0.626). Conclusion The findings of this older Australian cohort do not support the association between changes in EAS% intake and body weight, regardless of AS food sources (beverage or non-beverage).