Prostate cancer ranks second among the causes of death of malignant tumors in middle-aged and elderly men. A considerable number of patients are not easily detected in early-stage prostate cancer. Although traditional imaging examinations are of high value in the diagnosis and staging of prostate cancer, they also have certain limitations. With the development of nuclear medicine instruments and molecular probes, molecular imaging is playing an increasingly important role in the diagnosis and treatment of prostate cancer. Positron emission tomography and computed tomography (PET/CT) using prostate-specific membrane antigen (PSMA) as a probe has gained increasing recognition. This article will review the latest progress in the application of PET/CT using probes for targeting PSMA to imaging and treatment of prostate cancer, in order to provide a theoretical basis for the application of probes for targeting PSMA in the diagnosis and treatment of prostate cancer.
Objective Evidence-based medicine was used to make an individualized treatment plan for newly diagnosed prostatic hyperplasia in an elderly patient. Methods After clinical problems were discovered, evidence was collected from CBM, CNKI, The Cochrane Library, PubMed, EMBASE, ScienceDirect, Springer, and ProQuest databases according to our predefined search strategy. The search was done through 2008. The internal and external validity of the evidence was assessed. The evidence, combined with the patient value, was applied to the patient. Results A total of 39 systematic reviews involving 137 randomized controlled trials were identified. A rational treatment plan was made upon a critical evaluation of the data. After one year follow-up, the treatment protocol was proven correct. Conclusion The treatment efficacy in newly diagnosed prostatic hyperplasia in the elderly has been improved by determining an individualized treatment protocol according to evidence-based methods.
Magnetic resonance (MR) imaging is an important tool for prostate cancer diagnosis, and accurate segmentation of MR prostate regions by computer-aided diagnostic techniques is important for the diagnosis of prostate cancer. In this paper, we propose an improved end-to-end three-dimensional image segmentation network using a deep learning approach to the traditional V-Net network (V-Net) network in order to provide more accurate image segmentation results. Firstly, we fused the soft attention mechanism into the traditional V-Net's jump connection, and combined short jump connection and small convolutional kernel to further improve the network segmentation accuracy. Then the prostate region was segmented using the Prostate MR Image Segmentation 2012 (PROMISE 12) challenge dataset, and the model was evaluated using the dice similarity coefficient (DSC) and Hausdorff distance (HD). The DSC and HD values of the segmented model could reach 0.903 and 3.912 mm, respectively. The experimental results show that the algorithm in this paper can provide more accurate three-dimensional segmentation results, which can accurately and efficiently segment prostate MR images and provide a reliable basis for clinical diagnosis and treatment.
ObjectiveTo evaluate the relationship between some clinical laboratory tests, such as levels of fasting insulin (FINS), triglyceride (TG) and total cholesterol (TC), and benign prostatic hyperplasia (BPH). MethodsA total of 146 male patients were included in this study. All the subjects were from the clinic of West China Hospital and Sichuan Cancer Hospital from January 2012 to July 2013. Serum FINS, TG, TC and prostate specific antigen (PSA) were tested, respectively. Prostate volume (PV) was measured by ultrasound. ResultsFINS, PAS and annual prostate growth rate increased significantly in the large PV group compared with the small PV group (P<0.01). There was no significant association of PV with body mass index and other laboratory tests like serum TC and TG. PV and annual prostate growth rate increased significantly in the group of high FINS level compared with the group of low FINS level (P<0.01). PV was positively correlated with FINS (r=0.159, P<0.05); and annual prostate growth rate was positively correlated with FINS (r=0.201, P<0.05). ConclusionHyperinsulinism may play an important role in the pathogenesis of BPA.
ObjectiveTo compare the effectiveness of magnetic resonance spectroscopy (MRS) and Dynamic Contrast-enhancement (DCE-MRI) with 1.5 T MR scanner in diagnosing prostate cancer. MethodsFrom April 2011 to December 2012, based on the results of biopsy, we measured 216 regions of interest (ROIs) in images of MRS and DCE-MRI, comprised of 131 ROIs from cancer zone and 85 ROIs from non-cancer zone. The data were analyzed with statistical methods, including receiver operating characteristic (ROC) curve. ResultsThere were significant differences between the malignant group and the benign group (P<0.05) in Cit integral, Cho integral, CC/Cit ratio, the type of time-signal intensity curve, initial value, enhancement rate and ratio of enhancement. According to ROC curve, the area under curve (AUC) of CC/Cit and enhancement rate was 0.853 and 0.719, respectively. AUC of time to peak, time difference, enhancement rate and Cit integral was lower than 0.400. The optimal operating point (OOP) of CC/Cit was 0.775, with a specificity of 0.85 and a sensitivity of 0.79, and the AUC was 0.853. The OOP of the ratio of enhancement was 60.89, with a specificity of 0.66 and a sensitivity of 0.71, and the AUC was 0.719. ConclusionMRS is more sensitive and specific than DCE-MRI to diagnose prostate cancer when an 1.5 T MR scanner is used. On the other hand, MRS is susceptible to interference, but DCE-MRI can make up for these deficiencies.
Objective To systemically review the efficacy and safety of strontium chloride for bone metastases from prostate cancer. Methods PubMed, The Cochrane Library, EMbase, VIP, CBM, CNKI and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) about strontium chloride for bone metastases from prostate cancer from inception to November 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software. Results A total of 7 RCTs involving 1 532 patients were included. The results of meta-analysis showed that strontium chloride was superior to placebo in the rate of pain relief (RR=1.79, 95%CI 1.35 to 2.37, P<0.000 1), but more likely to cause slight leucopenia (Peto OR=5.02, 95%CI 1.49 to 16.95,P=0.009). However, no significant difference was found in overall survival time between two groups (RR=0.87, 95%CI 0.58 to 1.30, P=0.49). In addition, strontium chloride was superior to radiotherapy in rate of bone pain relief (RR=1.28, 95%CI 1.12 to 1.47, P=0.0004), but it would cause thrombocy (Peto OR=2.61, 95%CI 1.04 to 6.57, P=0.04). Conclusion Current evidence shows that the strontium chloride is superior to placebo in the rate of pain relief, but it will cause slight leucopenia. The strontium chloride is superior to radiotherapy in rate of bone pain relief. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To investigate the application of the dynamic contrast enhanced MRI (DCE-MRI ) combined with magnetic resonance spectroscopy (MRS) in the diagnosis of prostate cancer. Method A total of 60 patients with prostate cancer and 60 patients with benign prostatic hyperplasia diagnoses in Sichuan Cancer Hospital from January 2011 to January 2014 were included as prostate cancer group and proliferative group respectively. Sixty healthy individuals during the same period were included as the control group. We used Siemens Avanto 1.5 T high field superconducting MRI for DCE-MRI scan and MRS scan. After the MRS scan was finished, we used the workstation spectroscopy tab spectral analysis. Eventually we got the crest lines of prostate metabolites choline (Cho), creatine (Cr) and citrate (Cit). Then we calculated Cho/Cit, (Cho+Cr)/Cit and their average. Results Comparing the signal value in 21 seconds, 1 minute, 2 minutes of DCE-MRI, the differences among the three groups were statistically significant (P<0.05). Comparing the results of spectral analysis, the differences among the three groups were statistically significant (P<0.05). The sensitivity was 89.67%, the specificity was 95.45% and the accuracy was 94.34% when using DCE-MRI combined with MRS. Conclusion DCE-MRI combined with MRS greatly improves the sensitivity, specificity and accuracy of the diagnosis of prostate cancer; it has a great application value in the diagnosis of prostate cancer.
Objective To systemically evaluate the accuracy of f/t-PSA for diagnosing prostate cancer with a t-PSA level of 4-10ng/mL through meta-analysis. Methods A literature search of CBM, VIP, CNKI and Wanfang Data from 1999 to 2009 was performed. Related journals were also searched manually. Two reviewers independently assessed trial quality according to QUADAS items. Heterogenous studies and meta-analysis were conducted by Meta-Disc1.4 software. The analysis was based on different critical values of f/t-PSA (0.1, 0.15, 0.2, 0.25, and 0.3). Results Total 18 studies involving 2217 subjects were included. No threshold effect was found. But there was heterogeneity due to other factors. The meta–analysis showed that, the sensitivity of f/t-PSA with the critical value of 0.15 for the diagnosis of prostate cancer with a t-PSA level of 4-10ng/mL was 75% (95%CI 70%-79%), and the specificity was 81% (95%CI 78%-84%). The area under SROC curve was 0.883 5, and the Q index was 0.814 0. Conclusion The f/t-PSA is a better index for diagnosing prostate cancer with t-PSA levels between 4 and 10ng/mL. And it is reasonable to consider 0.15 as a more suitable critical value.
ObjectiveTo systematically review the relationship between T309G polymorphism of murine double minute 2 (MDM2) gene and susceptibility of prostate cancer. MethodsThe PubMed, Embase, WanFang Data, CNKI databases were electronically searched to collect case-control studies related to the objectives from inception to May, 2023. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 14.0 software. ResultsA total of 10 studies involving 5 781 patients and 5 477 healthy controls were included. The results of meta-analysis showed that the MDM2 gene T309G polymorphism was not associated with preeclampsia (allele model G vs. T: OR=0.89, 95%CI 0.77 to 1.04, P=0.13; homozygote model GG vs. TT: OR=0.86, 95%CI 0.64 to 1.16, P=0.32; heterozygote model TG vs. TT: OR=1.04, 95%CI 0.86 to 1.26, P=0.12; dominant model GG+TG vs. TT: OR=0.96, 95%CI 0.89 to 1.04, P=0.36; recessive model GG vs. TG+TT: OR=0.84, 95%CI 0.63 to 1.14, P=0.27). The results of subgroup analysis based on ethnicity and source of control were similar to the overall results. Sensitivity analysis showed that the results were robust. Conclusion?Current evidence shows that the MDM2 gene T309G polymorphism is not associated with prostate cancer susceptibility. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To evaluate the effectiveness and safety of traditional Chinese medicine therapies (TCMT) for prostatitis. Methods We searched Cochrane Controlled Trials Register (CCTR), China EBM/Cochrane center database (CEBM/CCD), PubMed, Chinese Biomedical Literature Database (CBM), Papers on Academic Conference of China (PACC), Chinese Dissertation Database Full-Text (CDDBFT), and Evidence-based Traditional Chinese Medicine Database (EBTCMD). All searches were updated on January 15, 2007. We also performed a manual search of the RCTs of TCMT for prostatitis among periodicals related to TCM, researched the related studies by correlative websites, such as “Baidu” and “Google”, gray literatures, and studies included in the references of eligible studies. At least two reviewers independently screened the studies for eligibility, evaluated the quality, and extracted the data from the eligible literatures, with a cross-check to confirm accuracy. Different views were settled by a third party. We evaluated the quality of eligible studies with the revised Jadad’s scale, and extracted valid data using data tables. Meta-analyses were performed for homogeneous studies using RevMan 4.3 software. If heterogeneity existed among the studies, descriptive analysis was conducted. The potential publication-bias was analyzed by funnel plot analysis. Results A total of 52 randomized clinical trials of TCMT for prostatitis (n=5 209) among 1 282 original studies were identified. The methodological quality ranked high in 9 RCTs (the revised scale were ≥ 4 scores), and 22 RCTS reported the methods of random sequence production. The analysis indicated some TCMT were more effective than the treatments in the controls in relieving the proatatitis patients’ pain or discomfort, paruria, impact of symptoms and NIH-chronic prostatitis symptom index (NIH-CPSI), improving the EPS-WBC and urine flow rate etc. Of the trials, 29 randomized clinical trials of TCMT for prostatitis that studied safety (n=2 502) were identified. The methodological quality ranked high in 8 RCTs (the revised scale were ≥ 4 scores), and 18 RCTs reported the method of random sequence production. Analysis indicated some TCMT may cause lower digestive tract symptoms when compared to the control therapies and some Chinese herbs formulas- may cause sexual disfunction. Conclusion Some TCMT may be more effective than the controls in relieving the patients’ pain or discomfort, paruria, impact of symptoms and NIH-CPSI, improving the prostatic tenderness with DRE, improving the EPS-WBC, lecithin lipophore, and urine flow rate etc. However, some TCMT of the trials included may cause lower digestive tract symptoms when compared to the controls, and some Chinese herbs formulas cause sexual disfunction. Because of the generally low methodological quality and the variations of the herbs used, the overall effects cannot be pooled for analysis. More evidence is needed to support this finding.