【摘要】 目的 探討超聲引導介入治療卵巢囊腫的經驗和方法。 方法 回顧性分析2004年8月－2009年12月超聲引導下治療卵巢囊腫180例，抽出囊腫內液后注入無水乙醇，觀察臨床療效。 結果 179例（99.4%）治療成功，無嚴重并發癥發生，術后2年隨訪，3例（1.7%）復發。 結論 超聲引導介入治療卵巢囊腫療效滿意。【Abstract】 Objective To investigate the experiences and methods of interventional ultrasound treatment of ovarian cysts. Methods We retrospectively analyze the clinical data of 180 patients with ovarian cysts undergoing ultrasound-guided treatment. The clinical effect was observed after alcohol sclerosis therapy. Results A total of 179 patients (99.4%) were successfully treated by the ultrasound-guided aspiration without severe significant complications. Three patients (1.7%) recurred during the 24-month follow-up. Conclusion The clinical effect of ultrasound-guided aspiration and alcohol sclerosis was satisfactory.
For certain cardiovascular diseases such as coronary artery disease and arrhythmia, electrocardiogram as a conventional cardiac function monitoring method has limitations such as insufficient resolution and unreliable accuracy in diagnosis. In contrast, magnetocardiography (MCG) offers several advantages, such as being unaffected by uneven human body conductivity and skin-electrode contact, and providing higher spatial resolution, which make it more effective than electrocardiogram for pathological characterization and lesion localization. The acquisition technology of MCG, which is a vital component of the overall MCG system, has predominantly utilized superconducting quantum interference device. In recent years innovative cases of MCG acquisition using atomic magnetometers and magneto-resistive sensors have also appeared in academia. In this paper, the MCG acquisition technologies based on three distinct magnetic sensors are reviewed. Firstly, the current research progress on each MCG acquisition technology is introduced. After that, the enhancement approaches of various technologies for improving cardiac magnetic signal acquisition and magnetic shielding conditions are discussed. Subsequently, differences between each technology are analyzed and the existing development difficulties and solutions of MCG technology are discussed. Finally, an outlook on the application prospect of MCG in the clinical field is provided, aiming to provide references for the continuous optimization of MCG technology and accelerate its adoption as a reliable diagnostic method for cardiovascular diseases.
Clinical prediction models refer to models that can predict the probability of the occurrence of a certain clinical outcome event of the research objects, and they have important value in fields such as disease risk stratification, prognosis prediction, and precision medical decision - making. To further standardize this methodology, in 2024, an international multidisciplinary expert group composed of institutions from Switzerland, the Netherlands, the United Kingdom, and others, based on the TRIPOD statement and the PROBAST assessment tool, jointly released the "Step - by - step guide for developing clinical prediction models". This guide systematically constructs 13 steps: defining the objective, creating a team, conducting a literature review, developing a protocol, choosing to develop a new model or update an existing model, defining the outcome measure, identifying candidate predictors, collecting and checking data, determining the sample size, handling missing data, fitting the prediction model, evaluating the performance of the prediction model, determining the final model, performing decision curve analysis, evaluating the predictive ability of individual predictors, writing a report and publishing the results. This paper deeply analyzes the steps of this guide, aiming to provide a reference for clinical researchers.