Apparent diffusion coefficients in prostate cancer: correlation with molecular markers Ki‐67, HIF‐1α and VEGF

Prostate cancer (PCa) is the second most common cancer in men. The Gleason score (GS) and biomarkers play important roles in the diagnosis and treatment of patients with PCa. The purpose of this study was to investigate the relationship between the apparent diffusion coefficient (ADC) and the molecular markers Ki‐67, hypoxia‐inducible factor‐1α (HIF‐1α) and vascular endothelial growth factor (VEGF) in PCa. Thirty‐nine patients with 39 lesions, who had been diagnosed with PCa, were enrolled in this study. All patients underwent diffusion‐weighted magnetic resonance imaging (DW‐MRI) (b = 800 s/mm²). The expression of Ki‐67, HIF‐1α and VEGF was assessed by immunohistochemistry. Statistical analysis was applied to analyze the association between ADC and prostate‐specific antigen (PSA), GS and the expression of Ki‐67, HIF‐1α and VEGF. The group differences in ADC among different grades of Ki‐67, HIF‐1α and VEGF were also analyzed. The mean ± standard deviation of ADC was (0.76 ± 0.27) × 10^?3 mm²/s. ADC correlated negatively with PSA and GS (p < 0.05). The Ki‐67 staining index (SI), HIF‐1α expression and VEGF expression in PCa were correlated inversely with ADC, controlling for age (r = –0.332, p < 0.05; r = ?0.662, p < 0.0005; and r = ?0.714, p < 0.0005, respectively). ADC showed a significant difference among different grades of Ki‐67 (F = 9.164, p = 0.005), HIF‐1α (F = 40.333, p < 0.0005) and VEGF (F = 22.048, p < 0.0005). In conclusion, ADC was correlated with PSA, GS, and Ki‐67, HIF‐1α and VEGF expression in patients with PCa. ADC may be used to evaluate tumor proliferation, hypoxia and angiogenesis in PCa.     

Consensus among Chinese experts on standard interventional therapy for deep venous thrombosis of lower extremity (second edition)

This is an update on the first edition of the expert consensus. This document discusses the indications and contraindications of interventional treatment methods for deep venous thrombosis such as anticoagulation, catheter-directed thrombolysis, percutaneous mechanical thrombectomy, percutaneous transluminal angioplasty and stent implantation. The operational procedures, considerations, preoperative management, and prevention of complications were also updated, supplemented, and revised. Emphasis is placed on the interventional treatment of acute and subacute deep venous thrombosis to effectively reduce the incidence of post-thrombosis syndrome.     

Multiparametric classification of sub‐acute ischemic stroke recovery with ultrafast diffusion, 23Na,and MPIO‐labeled stem cell MRI at 21.1 T

MRI leverages multiple modes of contrast to characterize stroke. High‐magnetic‐field systems enhance the performance of these MRI measurements. Previously, we have demonstrated that individually sodium and stem cell tracking metrics are enhanced at ultrahigh field in a rat model of stroke, and we have developed robust single‐scan diffusion‐weighted imaging approaches that utilize spatiotemporal encoding (SPEN) of the apparent diffusion coefficient (ADC) for these challenging field strengths. Here, we performed a multiparametric study of middle cerebral artery occlusion (MCAO) biomarker evolution focusing on comparison of these MRI biomarkers for stroke assessment during sub‐acute recovery in rat MCAO models at 21.1 T. T₂‐weighted MRI was used as the benchmark for identification of the ischemic lesion over the course of the study. The number of MPIO‐induced voids measured by gradient‐recalled echo, the SPEN measurement of ADC, and ²³Na MRI values were determined in the ischemic area and contralateral hemisphere, and relative performances for stroke classification were compared by receiver operator characteristic analysis. These measurements were associated with unique time‐dependent trajectories during stroke recovery that changed the sensitivity and specificity for stroke monitoring during its evolution. Advantages and limitations of these contrasts, and the use of ultrahigh field for multiparametric stroke assessment, are discussed.     

术前白蛋白碱性磷酸酶比值对根治性膀胱切除术后总体生存期的影响

目的探讨术前白蛋白碱性磷酸酶比值(AAPR)与根治性膀胱切除术后患者总体生存期(OS)的关系。方法回顾性分析2007年1月至2015年12月青岛大学附属医院收治的166例膀胱癌患者的临床病理资料。男148例,女18例。年龄(65.1±9.4)岁。伴高血压病31例、糖尿病14例。体质指数(BMI)(24.00±3.32)kg/m^2。肿瘤单发92例,多发74例。肿瘤直径<3 cm者43例,≥3 cm者123例。合并肾积水33例,无肾积水133例。术前AAPR(0.62±0.23)。根据AAPR的三分位点将患者分为低AAPR组55例,AAPR(0.42±0.09);中AAPR组55例,AAPR(0.58±0.05);高AAPR组56例,AAPR(0.86±0.21)。美国麻醉医师协会(ASA)分级1级4例,2级65例,3级86例,4级11例。根治术前患者均行经尿道膀胱肿瘤切除术,病理诊断均为膀胱癌,高级别144例,低级别22例。166例均行根治性膀胱切除术,其中腹腔镜手术140例,开放手术26例。术中行输尿管皮肤造口55例,回肠代膀胱96例,回肠原位新膀胱15例。将AAPR连续性变量和AAPR分组作为原始模型,调整年龄、肿瘤大小、pT分期、pN分期、肾积水、ASA分级、辅助化疗的数据作为校准模型1,在校准模型1基础上增加BMI、肿瘤数目、病理等级的数据作为校准模型2。采用趋势性检验检测不同AAPR组间危险比(HR)变化趋势。分析不同因素分层的AAPR与OS的关系。采用Kaplan-Meier法绘制生存曲线。采用基于广义相加模型的曲线拟合表示AAPR与OS的关系。结果本组166例中位随访63个月,生存95例,死亡71例。3年生存率为61%,5年生存率为50%。术后病理分期:T1期27例,T2期82例,T3期48例,T4期9例;N0期145例,N1期14例,N2期6例,N3期1例。术后52例行辅助化疗。单因素Cox回归分析结果显示,AAPR(HR=0.09,95%CI 0.022~0.391,P=0.001)、高AAPR组(HR=0.40,95%CI 0.216~0.742,P=0.003)、年龄(HR=2.42,95%CI 1.294~4.531,P=0.006)、肿瘤大小(HR=2.11,95%CI 1.112~4.014,P=0.023)、肿瘤数目(HR=0.62,95%CI 0.378~1.022,P=0.061)、pT3期(HR=8.93,95%CI 3.173~25.114,P<0.001)、pT4期(HR=10.39,95%CI 3.110~34.707,P<0.001)、N1期(HR=2.80,95%CI 1.422~5.531,P=0.003)、N3期(HR=17.06,95%CI 2.192~132.863,P=0.007)、病理分级(HR=0.30,95%CI 0.113~0.817,P=0.019)、肾积水(HR=2.36,95%CI 1.406~3.939,P=0.001)、术后辅助化疗(HR=2.66,95%CI 1.674~4.247,P<0.001)均与术后OS相关。调整年龄、肿瘤大小、pT分期、pN分期、肾积水、ASA分级、辅助化疗、BMI、肿瘤数目、病理分级后,Cox回归分析结果显示,与低AAPR组相比,高AAPR组的死亡风险降低约59%(HR=0.406,95%CI 0.200~0.822,P=0.012),AAPR每升高1个单位,死亡风险下降约80%(HR=0.199,95%CI 0.051~0.779,P=0.020)。趋势性检验结果显示,原始模型和校准模型中,AAPR不同分组间OS的HR下降趋势均有统计学意义(P=0.016),提示两者呈线性关系。调整年龄、肿瘤大小、pT分期、pN分期、肾积水、ASA分级、辅助化疗、BMI、肿瘤数目、病理分级后,曲线拟合图显示,AAPR与OS呈线性相关,随AAPR升高,术后死亡风险下降,OS延长。结论AAPR与膀胱肿瘤患者根治性膀胱切除术后的OS成线性相关,随AAPR升高,患者术后死亡风险下降,OS延长。     

结构变动度在住院费用构成变动中的应用

目的 探讨降低医疗费用的对策.方法 运用结构变动度和环比增长速度指标,分析2008年-2013年费用构成变动的情况.结果 费用构成变动比较合理,其他费和检查费是引起费用结构变动上升的主要费用项目,二者累积贡献率高达42.44％,护理费结构变动增幅较慢,仅为4.10％,说明在体现医生技术服务价值的同时,也应适当提高护理人员的技术服务价值,药品费、诊疗费、手术费是引起住院费用结构变动下降的主要费用项目,三者累积贡献率高达45.92％,说明了我院优化了收费结构,强化了管理意识.结论 优化医疗收入结构,有重点的控制主要因素,以较低的成本及合理收费,最大限度的满足患者医疗需求,实现医疗费用的理性回归.