目的 探討Prolift系統全盆底重建術在治療盆腔臟器脫垂疾病中的應用價值及療效。 方法 回顧性分析四川大學華西第二醫院婦科2010年1月－2011年5月收治的119例盆腔臟器脫垂患者的臨床資料，其中47例應用Prolift系統進行全盆底重建術（A組），51例應用曼氏手術治療（B組），21例應用經陰道全子宮切除術+陰道前后壁修補術治療（C組）。分析比較各組的臨床近期療效。術后隨訪1年。 結果 A、B、C組在手術時間、術中出血量、術后安置尿管天數、術后住院天數間差異均無統計學意義（P＞0.05）。A組1例、B組11例、C組4例復發，A組與B、C組復發率比較差異有統計學意義（P＜0.05）。 結論 Prolift系統全盆底重建術安全性高，不增加臟器損傷的幾率，且明顯降低了患者的術后復發率，近期療效肯定，是治療盆腔臟器脫垂的一種理想術式。
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.
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.
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.