Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

This study was designed to investigate the potential protective effect of isopimpinelline against para-chlorophenylalanine(PCPA)-induced pineal gland damage in rats.Forty male Sprague-Dawley(SD)rats were divided into four groups(n=10 each):a normal group,a model group,a melatonin-treated group(10 mg/kg),and an isopimpinelline-treated group(1.5 mg/kg).All groups,except for the normal,received intraperitoneal injection of PCPA(450 mg/kg)to induce pineal gland damage.Subsequent treatments were administered orally for 7 days.Sleep latency and duration were evaluated on the sixth day using the pentobarbital sodium sleep synergy test.After the treatment period,serum melatonin levels and pineal gland inflammation markers were assessed alongside oxidative and antioxidative parameters.Histological examinations of the pineal gland were conducted,and the expression of proteins related to the Nrf2 and NF-κB signaling pathways were quantified.Data showed that isopimpinelline alleviates the structural damage in the pineal gland of model rats,significantly elevated serum melatonin levels,and markedly improved sleep latency and duration(P＜0.05).Isopimpinelline activated the Nrf2 signaling pathway by inhibiting Keap1 expression,which facilitated the nuclear translocation of Nrf2 and upregulated the antioxidant proteins NQO1 and HO-1,thereby mitigating oxidative stress in the pineal gland(P＜0.05).Furthermore,isopimpinelline significantly reduced the levels of pro-inflammatory cytokines IL-2,TNF-α and IL-6.Isopimpinelline also suppressed the NF-κB signaling pathway,reducing the expression of NF-κB p65,IKKβ,and p-IKKβ proteins,as well as the nuclear translocation of NF-κB p65(P＜0.05),thereby providing anti-inflammatory benefits.In conclusion,isopimpinelline could protect pineal gland from damage by activating the Nrf2 signaling pathway and inhibiting the NF-κB pathway.

OBJECTIVE：To establish the method for content determination of 6 components in Fuzheng guben granules ，such as 2，3，5，4′-tetrahydroxystilbene glucoside ，baicalin，icariin，scutellarin，baicalein and wogonin. METHODS ：HPLC method was adopted. The determination was performed on Dikma Diamonsil C 18 column with mobile phase consisted of acetonitrile- 0.1％ phosphoric acid aqueous solution （gradient elution ）at the flow rate of 1.0 mL/min. The detection wavelengths were set at 275 nm （0-8 min），320 nm（8-9 min）and 275 nm（9-33 min）. The column temperature was set at 25 ℃，and sample size was 10 μL. With baicalin as reference material ，the relative corr ection factors （fk/s） of other five components were calculated by multi-point correction method and slope correction method ；the retention time difference method was used to locate the chromatographic peaks ； the calculation values obtained by above 2 QAMS were compared with measured values of external standard method. RESULTS ： The linear range of 2，3，5，4′-tetrahydroxystilbene glucoside ，baicalin，icariin，scutellarin，baicalein and wogonin were 0.053-2.12， 0.163-6.52，0.059-2.36，0.021 6-0.864，0.03-1.2，0.021-0.84 μg（r＞0.999），respectively. RSDs of precision ，stability（12 h）and reproducibility tests were all lower than 3％. Average recoveries were 98.72％-99.82％（RSDs were 0.89％-1.24％，n＝9）. Using baicalin as reference material ，fk/s of multi-point correction method for 2，3，5，4′-tetrahydroxystilbene glucoside ，icariin，scutellarin， baicalein and wogonin were 1.172，0.528，1.479，1.820 and 2.534，respectively；fk/s of slope correction method were 1.234， 0.550，1.559，1.939，2.664. RSDs of 6 components in 10 batches of Fuzheng guben granules by 3 methods were 0.29％-2.77％ （n＝10），respectively. Pearson correlation coefficient was not lower than 0.999 9（P＜0.001）in measured values between QAMS and external standard method. CONCLUSIONS ：QAMS method is established successfully for simultaneous determination of 6 components in Fuzheng guben granules.

Objective To assess the mortality and risk factors for stroke among dialysis patients with different dialysis modality. Methods 590 patients who underwent hemodialysis (HD) or peritoneal dialysis (PD) from January 2008 to December 2012 were recruited in our study, and categorized according to dialysis modality. The prognostic risks of stroke were hazard ratio of risk was calculated by Cox regression analysis in HD and PD patients respectively. by the Kaplan?Meier curves or the Cox proportional hazards model. Results A total of 590 patients is under a median follow?up of 32.5 months. The stroke incidence rate of 49.2/1, 000 patient?years in total patients, and 74.1/1, 000 patient?years in HD patients, which was significantly higher compared with that of 31.8/1,000 patient?years in PD patients. On multivariate analysis, independent predictors of stroke occurrence were age(HR=1.05;95%CI:1.02~1.09;P=0.003)、diabete(HR=1.98;95%CI:1.31~3.46;P=0.001)、CVD(HR=2.06;95%CI:1.62-3.05;P < 0.001)、Total triglycerides(HR = 1.20; 95% CI:1.08-1.58; P = 0.034) and hemodialysis (HR = 2.03; 95% CI:1.46-3.89; P = 0.005). Conclusions Age, diabete, CVD, total triglycerides and hemodialysis are independently associated with increased stroke risks in dialysis patients, which suggest that these patients should pay attention to weight control and glucose control.

Objective To determine the relationship of cytochrome P-450 epoxygenase metabolites of arachidonic acids with impaired endothelium-dependent vasorelaxation in the healthy elderly. Methods A case-control study was employed.The study enrolled 60 healthy young adults (group A) and 60 healthy senior citizens (group B) of Han population in Shanghai. Serum contents of 14,15-dihydroxyeicosatrienoic acid (14,15-DHET) (a stable metabolite of 14,15-EET), 6-Kote-PGF1a (a stable metabolite of prostaglandin) and TXB2 (a stable metabolite of thromboxane A2) were measured using ELISA kits. The endothelium-dependent vasorelaxation (EDV) and endothelium-independent vasorelaxation (NEDV) in brachial arteries were determined by color Doppler ultrasound. Results Compared with group A, group B had significant higher levels of hemoglobin A1c, triglyceride and cholesterol levels (P＜0.01), and significant lower levels of 14,15-DHET and 6-Kote-PGF1a (P＜0.001), leading to increased values of TXB2/6-Kote-PGF1a and TXB2/14,15-DHET. There was bigger basal interior diameter of brachial arterials with reduced EDV and NEDV response (P＜0.01 and P＜0.05, vs. group A respectively) in group B. Moreover, the age was negatively correlated with 14,15-DHET and TXB2/14,15-DHET. Conclusions Our results indicate that the impaired EDV and NEDV in aging are associated with reduced production of arachidonic acid metabolites through cytochrome P-450 epoxygenase pathway and cyooxygenase pathway of endothelium in the healthy elderly.