目的 探讨Prolift系统全盆底重建术在治疗盆腔脏器脱垂疾病中的应用价值及疗效。 方法 回顾性分析四川大学华西第二医院妇科2010年1月－2011年5月收治的119例盆腔脏器脱垂患者的临床资料，其中47例应用Prolift系统进行全盆底重建术（A组），51例应用曼氏手术治疗（B组），21例应用经阴道全子宫切除术+阴道前后壁修补术治疗（C组）。分析比较各组的临床近期疗效。术后随访1年。 结果 A、B、C组在手术时间、术中出血量、术后安置尿管天数、术后住院天数间差异均无统计学意义（P＞0.05）。A组1例、B组11例、C组4例复发，A组与B、C组复发率比较差异有统计学意义（P＜0.05）。 结论 Prolift系统全盆底重建术安全性高，不增加脏器损伤的几率，且明显降低了患者的术后复发率，近期疗效肯定，是治疗盆腔脏器脱垂的一种理想术式。
Ovarian cancer is one of the common malignant tumors of female genital organs. In gynecological tumors, the incidence rate of ovarian cancer ranks the third after cervical cancer and uterine body cancer, but the death rate of ovarian cancer ranks the first, posing a serious threat to women’s life and health. In recent years, the National Comprehensive Cancer Network (NCCN) clinical practice guidelines for ovarian cancer has become an important basis for diagnosis and treatment of ovarian cancer. In this paper, we interpret the latest version (version 4. 2017) of NCCN clinical practice guidelines for ovarian cancer for its better clinical application.
Acute pancreatitis (AP) is a gastroenterological emergency with an acute onset and a high mortality rate. The main pathogenesis of AP is pancreatic damage and excessive activation of inflammatory cells induced by multiple factors. Due to anatomical features, the liver is the first extrapancreatic organ to be attacked by high concentrations of trypsin and inflammatory mediators during AP. Hepatic macrophages have been shown to be a major source of AP-related inflammatory factors. Interventions targeting hepatic macrophages may be critical to block liver injury/failure during AP, promote tissue repair, and reduce systemic symptoms. This review summarizes the pathological role of hepatic macrophages in AP and targeted interventions to provide new ideas and approaches to resolve the pathogenesis of AP and alleviate concurrent liver injury.
During the automatic reconstruction of panoramic images, the effect of dental arch curve fitting will affect the integrity of the content of the panoramic image. Metal implants in the patient’s mouth usually lead to a decrease in the contrast of the panoramic image, which affects the doctor’s diagnosis. In this paper, an automatic oral panoramic image reconstruction method was proposed. By calculating key image areas and image extraction fusion algorithms, the dental arch curve could be automatically detected and adjusted on a small number of images, and the intensity distribution of teeth, bone tissue and metal implants on the image could be adjusted to reduce the impact of metal on other tissues, to generate high-quality panoramic images. The method was tested on 50 cases of cone beam computed tomography (CBCT) data with good results, which can effectively improve the quality of panoramic images.