Fraxetin inhibits proliferation and induces apoptosis of bladder cancer through the Akt pathway in vitro and in vivo.

Fraxetin, a natural compound extracted from the Chinese herb Cortex Fraxini, is reported to boast extensive antitumor properties in various cancers. However, whether fraxetin exhibited an anticancer effect on bladder cancer remains unknown. In this study, cell counting kit-8 was utilized to detect cell viability. Flow cytometry analysis was performed for cell apoptosis analysis. Western blot analysis and real-time PCR were used to ascertain gene expression analysis. A mouse bladder cancer xenograft model was established and subjected to fraxetin treatment. Fraxetin reduced the viability of bladder cancer cells, induced apoptosis in vitro, and inhibited the growth of bladder cancer in vivo. Fraxetin inhibited the Akt pathway in J82 cells. In conclusion, the growth inhibitory properties of fraxetin against bladder cancer may be mediated via an Akt inhibitory effect and cell apoptosis promotion.

Laparoscopic prostatectomy with complete urethral reconstruction for sexual active BPH patients.

OBJECTIVE: To describe our technique of transvesical laparoscopic simple prostatectomy (LSP) plus complete urethral reconstruction(CUR). MATERIAL AND METHODS: From May 2019 to May 2021, 28 BPH patients with prostate volumes > 80 ml and the requirement to preserve the ejaculatory function (EF) received LSP plus CUR. Baseline demographics, pathology data, perioperative and postoperative complications, and functional outcomes were assessed. Data were analyzed with the Wilcoxon test. RESULTS: The median prostate volume was 106 ml. All patients successfully underwent LSP with no intraoperative complications or conversions to open surgery. The median operative time was 146 min. A total of five Clavien-Dindo Grade1-2 postoperative complications were noted, including infection, prolonged urine leakage and cardiac arrhythmia. No patient reported postoperative urgent or stress urinary incontinence. Functional outcomes at one-year follow-up demonstrated significant improvement from baseline with median IPSS and Qmax (p both < 0.001). Compared with baseline, no significant difference was observed in IIEF and MSHQ-EjD-SF at 6 and 12 months postoperatively. CONCLUSIONS: Our data support transperitoneal-transvesical LSP plus CUR as a safe and effective surgical technique for treating BPH with large prostate adenoma, regardless of the volume of the median lobe, especially for patients requiring to preserve antegrade ejaculation.

Comparison of RLP and PCNL for large pelvis calculi with CKD.

OBJECTIVES: To compare the effect and safety of retroperitoneal laparoscopic pyelolithotomy (RLP) and percutaneous nephrolithotomy (PCNL) for large pelvis calculi with chronic kidney disease (CKD). MATERIAL AND METHODS: Between June 2017 and July 2021, 62 patients with CKD and large renal pelvis calculi (>4 cm2) were treated with RLP. Another 62 patients receiving PCNL served as controls. The perioperative parameters were compared. All patients were followed up for at least 6 months with the stone-free rate and the recovery of renal function evaluated. RESULTS: Significantly longer operation time (101.47 ± 9.25 vs 62.55 ± 7.54 min), less drop in hemoglobin level (0.90 ± 0.38 vs 2.13 ± 0.80 g/dl), staged operations (0% vs 12.9%), postoperative fever (3.23% vs 16.13%) and delayed bowel movement (3.23% vs 14.52), and shorter hospitalization time (3.90 ± 1.66 vs 4.72 ± 1.80 days) were observed in the RLP group (p < 0.05). The stone-free rates were 100% in the RLP group and 88.7% in the PCNL group at the 3-months follow-up (p < 0.05). The serum creatinine level was significantly lower in the RLP group at 24 h (2.81 ± 1.18 vs 3.00 ± 1.15 mg/dl) and 1 week (2.08 ± 1.13 vs 2.34 ± 1.01 mg/dl) postoperatively (p < 0.05). CONCLUSIONS: Although associated with a longer operation time, RLP is a safer and more efficient surgical option for CKD patients with large pelvic stones than PCNL.

Influence of prostate size on the perioperative and postoperative outcome of transurethral plasmakinetic enucleation of the prostate: Results of 892 patients with 3 years of follow-up.

To explore the influence of prostate size on the outcome of Plasmakinetic enucleation of the prostate (PkEP) for the treatment of benign prostate hyperplasia (BPH), The data of 892 patients with symptomatic BPH who underwent PkEP were retrospectively reviewed. Among them, 199 (22.31%) had the prostate size smaller than 40 g (Group 1), 409 (45.85%) between 40 and 79 g (Group 2), 197 (22.09%) between 80 and 120 g (Group 3), and 87 (9.75%) larger than 120 g (Group 4). Perioperative variables, perioperative and postoperative complications were recorded. Patients were followed up for 36 months postoperatively. The efficiency of the surgery increased as the prostate size increased. Greater decreases in hemoglobin were noted in groups with larger prostates, while the duration of catheterization after the operation was similar across all groups. During the 3-year follow-up, the postoperative improvement in International Prostate Symptom Score (IPSS), Quality of Life (QOL), maximal flow rate (Qmax) and post-void residual urine volume (PVR), as well as longterm complications including urethral stricture and bladder-neck contracture were comparable across the 4 groups. These findings revealed that PkEP is more efficient for large prostate and can treat all prostates regardless of the size with equivalent symptom relief and micturition improvement.

Robust action recognition via borrowing information across video modalities.

The recent advances in imaging devices have opened the opportunity of better solving the tasks of video content analysis and understanding. Next-generation cameras, such as the depth or binocular cameras, capture diverse information, and complement the conventional 2D RGB cameras. Thus, investigating the yielded multimodal videos generally facilitates the accomplishment of related applications. However, the limitations of the emerging cameras, such as short effective distances, expensive costs, or long response time, degrade their applicability, and currently make these devices not online accessible in practical use. In this paper, we provide an alternative scenario to address this problem, and illustrate it with the task of recognizing human actions. In particular, we aim at improving the accuracy of action recognition in RGB videos with the aid of one additional RGB-D camera. Since RGB-D cameras, such as Kinect, are typically not applicable in a surveillance system due to its short effective distance, we instead offline collect a database, in which not only the RGB videos but also the depth maps and the skeleton data of actions are available jointly. The proposed approach can adapt the interdatabase variations, and activate the borrowing of visual knowledge across different video modalities. Each action to be recognized in RGB representation is then augmented with the borrowed depth and skeleton features. Our approach is comprehensively evaluated on five benchmark data sets of action recognition. The promising results manifest that the borrowed information leads to remarkable boost in recognition accuracy.

Cross-camera knowledge transfer for multiview people counting.

We present a novel two-pass framework for counting the number of people in an environment, where multiple cameras provide different views of the subjects. By exploiting the complementary information captured by the cameras, we can transfer knowledge between the cameras to address the difficulties of people counting and improve the performance. The contribution of this paper is threefold. First, normalizing the perspective of visual features and estimating the size of a crowd are highly correlated tasks. Hence, we treat them as a joint learning problem. The derived counting model is scalable and it provides more accurate results than existing approaches. Second, we introduce an algorithm that matches groups of pedestrians in images captured by different cameras. The results provide a common domain for knowledge transfer, so we can work with multiple cameras without worrying about their differences. Third, the proposed counting system is comprised of a pair of collaborative regressors. The first one determines the people count based on features extracted from intracamera visual information, whereas the second calculates the residual by considering the conflicts between intercamera predictions. The two regressors are elegantly coupled and provide an accurate people counting system. The results of experiments in various settings show that, overall, our approach outperforms comparable baseline methods. The significant performance improvement demonstrates the effectiveness of our two-pass regression framework.

Cross-domain multicue fusion for concept-based video indexing.

The success of query-by-concept, proposed recently to cater to video retrieval needs, depends greatly on the accuracy of concept-based video indexing. Unfortunately, it remains a challenge to recognize the presence of concepts in a video segment or to extract an objective linguistic description from it because of the semantic gap, that is, the lack of correspondence between machine-extracted low-level features and human high-level conceptual interpretation. This paper studies three issues with the aim to reduce such a gap: 1) how to explore cues beyond low-level features, 2) how to combine diverse cues to improve performance, and 3) how to utilize the learned knowledge when applying it to a new domain. To solve these problems, we propose a framework that jointly exploits multiple cues across multiple video domains. First, recursive algorithms are proposed to learn both interconcept and intershot relationships from annotations. Second, all concept labels for all shots are simultaneously refined in a single fusion model. Additionally, unseen shots are assigned pseudolabels according to their initial prediction scores so that contextual and temporal relationships can be learned, thus requiring no additional human effort. Integration of cues embedded within training and testing video sets accommodates domain change. Experiments on popular benchmarks show that our framework is effective, achieving significant improvements over popular baselines.