多功能套针浮刺疗法治疗神经根型颈椎病——一项随机对照观察研究＊

目的 评价多功能套针浮刺疗法对神经根型颈椎病的临床疗效。方法 选取256例神经根型颈椎病患者，按随机数字表法分为观察组与对照组各128例。观察组应用多功能套针浮刺疗法进行干预，对照组为常规针刺治疗。两组患者均治疗7天。分别于治疗前后观察两组患者的简化McGill疼痛问卷（SF-MPQ）、国际标准颈椎功能障碍指数（NDI）和田中靖久颈椎病症状20分法量表评分，并于治疗结束后3个月观察复发率。结果 两组患者治疗后的SF-MPQ量表评分、NDI量表评分及田中靖久颈椎病症状20分法评分与治疗前相比均有改善（P<0.05），且观察组优于对照组（P<0.05）；两组患者于治疗后3个月随访，SF-MPQ量表评分与治疗后相比均有改善，且观察组优于对照组（P<0.05）；观察组临床疗效总有效率为96.88%，愈显率为81.25%；对照组总有效率为78.13%，愈显率为46.88%，观察组优于对照组（P<0.05）。结论 应用多功能套针浮刺疗法治疗神经根型颈椎病临床疗效显著，见效较快，可有效降低其复发率，且作用稳定，效果持久，值得临床推广应用。     

同型半胱氨酸、维生素D、C、E、B12及叶酸与胃癌关系的研究进展北大核心

胃癌作为临床最常见的肿瘤之一,常因确诊疾病较晚而影响治疗效果,胃镜活检后的病理虽然作为确诊的金标准,但是由于此方式过程痛苦,操作复杂,费用较高,且具有侵入性,可能会导致患者拒绝操作而难普及于临床,因此积极找寻胃癌有效的监测指标十分必要。近年来,很多学者研究维生素与胃癌的相关关系,并试图通过摄取某些维生素降低胃癌发生率,延缓病情及改善预后,也有通过检测血清中维生素的水平给早期胃癌的诊断提供帮助。本文就同型半胱氨酸、维生素D、维生素C、维生素E、维生素B12及叶酸在胃癌中的作用机制,及其在血清中水平与胃癌关系的相关研究进展进行简要综述,为临床胃癌诊疗提供新思路。     

Electroconvulsive therapy plays an irreplaceable role in treatment of major depressive disorder

Major depressive disorder is a serious and common neuropsychiatric disorder that affects more than 350 million people worldwide. Electroconvulsive therapy is the oldest and most effective treatment available for the treatment of severe major depressive disorder. Electroconvulsive therapy modifies structural network changes in patients with major depressive disorder and schizophrenia. And it can also affect neuroinflammatory responses and may have neuroprotective effects. Electroconvulsive therapy plays an irreplaceable role in the treatment of major depressive disorder.     

Special issue “The advance of solid tumor research in China”: Multi-omics analysis based on 1311 clear cell renal cell carcinoma samples identifies a glycolysis signature associated with prognosis and treatment response

In clear cell renal cell carcinoma (ccRCC), glycolysis is enhanced mainly because of the increased expression of key enzymes in glycolysis. Hence, the discovery of new molecular biomarkers for glycolysis may help guide and establish a precise system of diagnosis and treatment for ccRCC. Expression profiles of 1079 tumor samples of ccRCC patients (including 311 patients treated with everolimus or nivolumab) were downloaded from public databases. Proteomic profiles of 232 ccRCC samples were obtained from Fudan University Shanghai Cancer Center (FUSCC). Biological changes, tumor microenvironment and prognostic differences were explored between samples with various glycolysis characteristics. There were significant differences in CD8⁺ effector T cells, epithelial-to-mesenchymal transition and pan-fibroblast TGFb between the Low and High glyScore groups. The tumor mutation burden of the Low glyScore group was lower than that of the High glyScore group. And higher glyScore was significantly associated with worse overall survival (OS) in 768 ccRCC patients (P < .0001). External validation in FUSCC cohort also indicated that glyScore was of strong ability for predicting OS (P < .05). GlyScore may serve as a biomarker for predicting everolimus response in ccRCC patients due to its significant associations with progression-free survival (PFS). And glyScore may also predict overall survival in patients treated with nivolumab. We calculated the glyScore in ccRCC and the defined glyScore was of strong ability for predicting OS. In addition, glyScore may also serve as a biomarker for predicting PFS in patients treated with everolimus and could predict OS in patients treated with nivolumab.     

超声引导下经皮肺穿刺活检术术后并发症分析

目的分析超声引导下经皮肺穿刺活检术术后并发症的相关影响因素。 方法收集2015年1月至2017年12月于西部战区总医院住院并在超声引导下行经皮肺穿刺活检术的205例患者临床资料，分析205例患者穿刺术后病理结果及并发症发生率，探讨超声引导下经皮肺穿刺活检术术后并发症的相关影响因素。 结果205例患者行超声引导下经皮肺穿刺活检术，术后并发出血8例，占3.9%(8/205)，术后发热3例，占1.46% (3/205)，为低热，且予以对症治疗后均恢复正常，无严重并发症发生。术后出血的发生率在不同性别、年龄、BMI及病灶类型的患者中无显著差异(P>0.05)，且吸烟对患者术后出血率也无显著影响(P>0.05)；但有基础疾病的患者其术后出血率更高(P＝0.005)，且病灶直径越小，术后越容易并发出血(P＝0.006)。不同性别、年龄及病灶类型对术后发热的发生率无显著影响(P>0.05)，且术后发热与吸烟史及基础疾病史无关(P>0.05)，但BMI≥24或3 cm ≤病灶直径(d)<6 cm的患者术后更易发热(P<0.05)。 结论超声引导下经皮肺穿刺活检术术后并发症发生率低(约为5.37%)，主要为出血及低热，其中术后出血主要与基础疾病史和病灶直径有关，术后发热主要与病灶直径及BMI有关。     

What Should We Focus on in Sepsis Fluid Resuscitation?--A Research Based on Scientometrics and Visual Analysis

Sepsis is a life-threatening condition and a global disease burden.Heterogeneous syndrome is defined as severe organ dysfunction caused by a dysregulated host response to infection,with renewed emphasis on the immune pathophysiology.Researchers worldwide constantly update the diagnostic criteria of sepsis and have introduced concepts such as“sepsis-3”“Surviving Sepsis Campaign(SSC)”“Early Goal-Directed Therapy(EGDT)”,the 3-h and 6-h bundles to an hour-1 bundle[1],“limited ventilation”“the best PEEP[2]”,and“Lung Protective-Ventilation”.Despite all efforts of experimental and clinical research during the last three decades,the ability to positively influence the course and outcome of the syndrome remains limited.     

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。     

Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning

Arterial spin labeling (ASL) imaging is a powerful magnetic resonance imaging technique that allows to quantitatively measure blood perfusion non-invasively, which has great potential for assessing tissue viability in various clinical settings. However, the clinical applications of ASL are currently limited by its low signal-to-noise ratio (SNR), limited spatial resolution, and long imaging time. In this work, we propose an unsupervised deep learning-based image denoising and reconstruction framework to improve the SNR and accelerate the imaging speed of high resolution ASL imaging. The unique feature of the proposed framework is that it does not require any prior training pairs but only the subject's own anatomical prior, such as T1-weighted images, as network input. The neural network was trained from scratch in the denoising or reconstruction process, with noisy images or sparely sampled k-space data as training labels. Performance of the proposed method was evaluated using in vivo experiment data obtained from 3 healthy subjects on a 3T MR scanner, using ASL images acquired with 44-min acquisition time as the ground truth. Both qualitative and quantitative analyses demonstrate the superior performance of the proposed txtc framework over the reference methods. In summary, our proposed unsupervised deep learning-based denoising and reconstruction framework can improve the image quality and accelerate the imaging speed of ASL imaging.