定量分析对常规超声联合超声造影定性误诊甲状腺结节的诊断价值

摘要：目的：探讨超声造影（CEUS）定量分析对常规超声联合CEUS定性诊断误诊为恶性的甲状腺结节与甲状腺乳头状癌的鉴别诊断价值。方法：选取2018年7月至2021年11月在我院超声科行甲状腺常规超声及CEUS检查，术前联合超声诊断为恶性（C-TIRADS≥4b 或 CEUS 表现为低增强和快速消退任一征像）而病理为良性的35位患者共35个结节为研究组；选择同期联合超声诊断与病理一致的甲状腺乳头状癌患者47例做为对照组。分析常规超声及CEUS特征，并将结节整体、中央部、边缘部及邻近正常甲状腺实质作为感兴趣区分别绘制时间-强度曲线（TIC）进行定量分析，比较两组结节各定量参数之间的差异。结果：研究组整体相对上升时间（△RT）以0.45为截断值，诊断恶性结节的敏感度为97.9%，特异度为85.7%，受试者工作（ROC）曲线下面积为0.96；研究组中央区△RT以0.55为截断值，诊断恶性结节的敏感度为95.7%，特异度为82.9%，ROC曲线下面积为0.87；研究组边缘区△RT以0.25为截断值，诊断恶性结节的敏感度为89.4%，特异度为77.1%，ROC曲线下面积为0.89。结论：CEUS定量分析在常规超声联合CEUS定性误诊甲状腺结节的诊断中具有一定的鉴别诊断价值。     

单孔胸腔镜下肺癌术后胸腔引流时间的影响因素分析北大核心

目的:探讨单孔胸腔镜下肺癌手术术后胸腔引流时间的影响因素。方法:本研究采用回顾性分析方法,回顾我院2018年01月至2019年12月原发性肺癌患者经单孔胸腔镜手术治疗的病例199例。按照术后胸腔引流时间分为两组,Ⅰ组(术后胸腔引流时间<5天)和Ⅱ组(术后胸腔引流时间≥5天)。对于影响术后胸腔引流时间的可能因素在两组间先采用单因素分析的方法筛选,再将筛选出来的对术后胸腔引流时间可能有意义的影响因素进行二项Logistic多因素回归分析。结果:经单因素分析及二项Logistic多因素回归分析结果显示:年龄≥60岁、手术部位、肺段切除术、胸膜粘连、手术时间≥180 min、术后早期下床活动是术后胸腔引流时间的独立影响因素(P<0.05)。结论:对于具有多个延长术后胸腔引流时间的独立影响因素的患者,应制定个体化管理方案,尽可能减少术后胸腔引流时间,减少住院天数,加快患者康复。     

腹腔镜与开腹手术治疗子宫内膜癌的疗效比较

目的:探讨腹腔镜与传统开腹手术治疗子宫内膜癌的临床效果差异。方法:回顾性分析陕西省人民医院2013年10月至2018年3月114例确诊为子宫内膜癌并以腹腔镜治疗的患者为研究对象（腹腔镜组），以同期62例开腹手术治疗的子宫内膜癌病例为对照组，两组在手术时间、术中出血量、淋巴结清扫个数、术后膀胱功能恢复时间、排气时间、体温恢复时间、住院时间及并发症等各方面指标进行比较。结果:腹腔镜组术中失血量、输血率、术后体温恢复时间、肠道功能恢复时间、膀胱功能恢复时间、术后住院天数及手术并发症发生率显著低于开腹组(P<0.05)。腹腔镜组与开腹组在手术时间、术中清扫淋巴结数目、复发率及总生存率差异无统计学意义。结论:与传统方法相比，腹腔镜手术短期效果良好，生存率相当，在具备丰富的腹腔镜手术经验、完善的腹腔镜设备的条件下，可以广泛应用于子宫内膜癌患者的治疗。     

张大宁治疗过敏性紫癜性肾炎经验管窥

介绍国医大师张大宁教授治疗过敏性紫癜性肾炎的经验。张教授认为本病总属本虚标实、虚实夹杂。在临证治疗时,根据病机演变特点,将过敏性紫癜性肾炎分为急性期和慢性期。急性期以邪实为主,治以清热解毒,凉血止血;慢性期邪气渐退,正气亏虚,瘀血、湿热等病理产物形成,故治以调整脏腑阴阳之偏胜,兼活血化瘀、清热利湿。此外,还注重中西医结合治疗与积极的预防调摄,治疗效果显著。附医案1则以佐证。     

Spectrum-Toxicity Correlation Study Revealed the Influence of the Nine-Time Steaming and Sun Drying Method on Hepatotoxic Components of Polygoni Multiflori Radix

Objective: Polygoni Multiflori Radix (PM) is a traditional herbal medicine with repeated reports of liver injury events in recent years. We wondered whether the classical processing method, namely, nine-time steaming and sun drying (NSSD), had toxicity-attenuating effects on PM and the relationships between toxicity and times of processing, as well as with the alteration trends of its compounds. Materials and Methods: The chemical fingerprints of different PM extracts were developed using ultra-high-performance liquid chromatography. The spectrum-toxicity correlation between the chemical fingerprints and hepatocellular toxicity was analyzed with multiple correlation analysis. Results: The results suggested that the hepatotoxicity of NSSD processing products markedly decreased with the repeated steaming and sun drying, which was obviously superior to the product processed by the modern method. Comprehensive analysis revealed that the contents of cis-stilbene glycoside and emodin-8-O-β-D-glucoside related to liver injury susceptibility were reduced with the times of NSSD processing, which was consistent with the decreased trend of hepatocellular toxicity. After the five times of NSSD, the contents of them as well as the hepatotoxicity of PM were steady. Moreover, we found that the contents of catechin and physcion declined rapidly after the one time of NSSD and then remained stable until the nine times of NSSD. Based on the fact, they could be utilized to indicate whether PM products were processed by steaming and sun drying. Conclusions: This paper confirmed that the NSSD had a good influence on the toxicity attenuating to PM and found four compounds which could apply for the quality control of PM.     

Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images

Thyroid carcinoma is one of the most common endocrine diseases globally, and the incidence has been on the rise in recent years. Ultrasound imaging is the primary clinical method for early thyroid nodule diagnosis. Regions of interest (ROIs) of nodules in ultrasound images are difficult to detect because of their irregular shape nand vague margins. Accurate real-time thyroid nodule detection can provide ROIs for subsequent nodule diagnosis automatically, avoid variabilities between the subjective interpretations and inter-observer effectively and alleviate the workloads of medical practitioners. The aim of this study was to present a reliable, real-time detection method based on the Faster R-CNN (region-based convolutional network) framework for accurate and fast detection of thyroid nodules in ultrasound images. Our study proposed a faster and more accurate thyroid nodule detection method based on the Faster R-CNN framework by adding three strategies: feature pyramid, spatial remapping and anchor-box redesign. Specifically, the network takes raw ultrasound images as inputs and generates boxes with positions and the possibilities that these boxes contain thyroid nodules. The proposed method could locate and detect target nodules accurately with a mean average precision of 92.79% with more than 9000 patient images. In addition, the detection rate has accelerated to >16 frames per second, four times faster than that of the initial network. Therefore, it can meet the requirements of clinical application. The performance of the fivefold cross-validation was also accurate and robust. The proposed automatic thyroid nodule detection method yields better performance in accuracy and detection speed, which indicates the potential value of our method in assisting clinical ultrasound image interpretation.     

Optimize the management of urological tube-related emergencies during the coronavirus disease 2019 (COVID-19) pandemic

BackgroundTo introduce and determine the value of optimized strategies for the management of urological tube-related emergencies with increased incidence, complexity and operational risk during the global spread of coronavirus disease 2019 (COVID-19).MethodsAll emergent urological patients at Tongji Hospital, Wuhan, during the period of January 23 (the beginning of lockdown in Wuhan) to March 23, 2020, and the corresponding period in 2019 were recruited to form this study’s COVID-19 group and control group, respectively. Tongji Hospital has the most concentrated and strongest Chinese medical teams to treat the largest number of severe COVID-19 patients. Patients in the control group were routinely treated, while patients in the COVID-19 group were managed following the optimized principles and strategies. The case incidence for each type of tube-related emergency was recorded. Baseline characteristics and management outcomes (surgery time, secondary complex operation rate, readmission rate, COVID-19 infection rate) were analyzed and compared across the control and COVID-19 periods.ResultsThe total emergent urological patients during the COVID-19 period was 42, whereas during the control period, it was 124. The incidence of tube-related emergencies increased from 53% to 88% (P<0.001) during the COVID-19 period. In particular, the incidence of nephrostomy tube-related (31% vs. 15%, P=0.027) and single-J stent-related problems (19% vs. 6%, P=0.009) increased significantly. The mean surgery times across the two periods were comparable. The number of secondary complex operations increased from 12 (18%) to 14 (38%) (P=0.028) during the COVID 19-period. The number of 2-week postoperative readmission decreased from 10 (15%) to 1 (3%) (P=0.049). No participants contracted during the COVID-19 period.ConclusionsUrological tube-related emergencies have been found to have a higher incidence and require more complicated and dangerous operations during the COVID-19 pandemic. However, the optimized management strategies introduced in this study are efficient, and safe for both urologists and patients.