The scope of computerized simulation in competency-based maxillofacial training: a systematic review

Oral and maxillofacial surgery (OMS) teaching is set to undergo a paradigm shift towards competency-based training. With increasing focus on resident skill development and patient safety, computerized simulators are likely to play a more mainstream role in OMS training. A systematic review of the available literature was conducted, in accordance with the PRISMA guidelines, to highlight the scope of computerized simulation in OMS teaching. A PubMed search was performed by two independent reviewers, and 35 articles published in English between 2010 and 2021 that reported the use of computerized simulation for teaching maxillofacial procedures were included in the analysis. Eight articles on minor oral surgery, seven on orthognathic surgery, five on maxillofacial trauma, five on cleft lip and palate surgery, three articles each on nerve block techniques, endoscopic procedures, and reconstructive surgery, and one article on fibre-optic intubation reported the use of computerized simulation that can be applied to OMS training. Ten randomized controlled trials were identified in the search. However there was marked heterogeneity among the studies. Simulator training for skill acquisition mentored by an expert OMS educator could offer holistic resident training; however more studies that test common themes of resident training such as knowledge acquisition and skill development are necessary.     

Clinical Simulation Augments Traditional Interviewing of Advanced Practice Provider Candidates

An essential role of critical care advanced practice providers—advanced practice registered nurses and physician assistants—is to have knowledge and competency to make accurate and efficient decisions. The ability to manage clinical scenarios involving medically deteriorating patients requires higher-order cognitive thinking and leadership skills that are challenging to extrapolate in traditional interviews. In critical care, advanced practice providers must make rapid clinical assessments and implement appropriate medical interventions to deter progression of life-threatening illnesses. Adding clinical simulation to the traditional interview allows interviewers to evaluate applicants’ crisis resource management skills, leadership, and clinical competency.     

外柱细胞软化对Corti器感音影响的生物力学研究

Corti器的感音过程容易受到内部结构属性变化的影响。外柱细胞血管舒张刺激磷蛋白缺失会减缓肌动蛋白丝的形成,从而产生听力延迟。本研究运用COMSOL建立三维有限元模型研究肌动蛋白缺失导致外柱细胞软化时,Corti器感音过程中基底膜和外毛细胞与Deiters细胞结合点的力学行为变化。结果表明,外柱细胞软化会削弱外毛细胞主动力对基底膜位移增益的放大作用,但削弱作用并不会立即产生,Corti器存在维持正常功能的"缓冲"阶段。在100 dB和120 dB之间可能存在一个声压级临界值,在该临界值两侧外柱细胞软化对基底膜应力变化的影响是截然相反的。另外外柱细胞软化对不同外毛细胞与Deiters细胞结合点力学行为的影响也不同,位移增益优先级会因此产生改变。     

重组人表皮生长因子凝胶联合CO2点阵激光治疗增生性瘢痕的效果观察

目的观察重组人表皮生长因子凝胶联合CO₂点阵激光治疗烧伤及创伤后增生性瘢痕的临床效果。 方法选择2020年12月至2021年10月安徽医科大学第一附属医院烧伤与创面修复外科收治的20例增生性瘢痕患者，按照随机数字表法将患者分为联合治疗组及单纯激光治疗组，每组10例。术前均对2组患者术区进行拍照存像、消毒、擦干，局部均匀涂抹5%复方利多卡因乳膏后以无菌薄膜封闭保护60 min，擦去乳膏后再次消毒术区。术中使用CO₂点阵激光治疗仪对患者瘢痕部位进行扫描，根据患者增生性瘢痕厚度选定合适的机器参数，维持机器频率300 Hz及密度5%，在20～30 J调整能量参数的大小，时间间隔1 s，保证点阵矩形完全覆盖增生瘢痕，允许2次激光形成的热损伤矩阵之间存在25%面积的重叠。术后即刻冷敷创面60 min，冷敷结束至术后1周，单纯激光治疗组不外用任何药物，联合治疗组术区加用重组人表皮生长因子凝胶外用，3次/d。术后3 d治疗部位不碰水，若出现感染情况，可以加用抗生素软膏，点状损伤创面外痂皮未掉落完全时禁止擦洗创面，禁止直接剥除痂皮，禁止术区涂抹化妆品等，避免接受阳光直射。于第1次激光治疗后2个月进行第2次激光治疗，以2次CO₂点阵激光治疗为1个疗程，1个疗程治疗后间隔2个月待术区稳定后行疗效判断，计算2组患者治疗的总有效率；根据温哥华瘢痕量表(VSS)与患者与观察者瘢痕评估量表(POSAS)对患者治疗前、第1次激光治疗后2个月、第2次激光治疗后2个月瘢痕的各项指标进行评分。数据比较采用重复测量方差分析和χ²检验。 结果(1)治疗1个疗程后2个月，单纯激光治疗组与联合治疗组患者治疗的总有效率分别为80%(8/10)、90%(9/10)，2组间比较差异无统计学意义(χ²＝2.40，P＝0.49)。(2)对2组VSS评分的各项指标进行比较，其中疼痛、瘙痒、柔软度及厚度评分的组内及组间各时相点比较，差异均无统计学意义(P>0.05)。治疗前、第1次激光治疗后2个月及第2次激光治疗后2个月，单纯激光治疗组VSS评分中色泽评分分别为(1.9±0.7)、(1.9±0.1)、(1.8±1.0)分，联合治疗组分别为(2.9±0.7)、(2.8±0.6)、(1.9±0.7)分，2组在不同时相点组内比较，差异有统计学意义(F＝ 26.143，P<0.05)；2组组间不同时相点比较，差异有统计学意义(F＝6.753，P＝0.018)。治疗前、第1次激光治疗后2个月及第2次激光治疗后2个月，单纯激光治疗组VSS评分中血管分布评分分别为(1.8±1.0)、(1.7±0.7)、(1.5±1.0)分，联合治疗组分别为(2.6±0.5)、(2.5±0.5)、(1.7±0.8)分，2组在不同时相点组内比较，差异有统计学意义(F＝17.603，P<0.05)，2组组间不同时相点比较，差异无统计学意义(F＝ 2.538，P＝0.129)。(3)对2组POSAS评分的各项指标进行比较，其中厚度、粗糙度、柔软度和表面积评分的组内及组间各时相点比较，差异均无统计学意义(P>0.05)。治疗前、第1次激光治疗后2个月及第2次激光治疗后2个月，单纯激光治疗组POSAS评分中色泽评分分别为(4.9±2.6)、(4.1±0.8)、(3.5±2.0)分，联合治疗组分别为(7.6±1.1)、(6.8±1.4)、(5.4±1.8)分，2组在不同时相点组内比较，差异有统计学意义(F＝ 26.509，P<0.05)，2组组间不同时相点比较，差异有统计学意义(F＝ 8.973，P＝0.008)。治疗前、第1次激光治疗后2个月及第2次激光治疗后2个月，单纯激光治疗组POSAS评分中血管分布评分分别为(4.4±2.1)、(3.9±0.9)、(3.5±1.6)分，联合治疗组分别为(6.3±1.1)、(5.7±2.0)、(4.5±1.6)分，2组在不同时相点组内比较，差异有统计学意义(F＝ 20.118，P<0.05)，2组组间不同时相点比较，差异有统计学意义(F＝ 5.744，P＝0.028)。 结论重组人表皮生长因子凝胶联合CO₂点阵激光及单独使用CO₂点阵激光治疗增生性瘢痕均效果明确，但联合使用重组人表皮生长因子凝胶能有效促进创面愈合、改善瘢痕组织血管分布和减少局部色素沉着。     

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.     

Systemic therapy for hormone receptor-positive/human epidermal growth factor receptor 2-negative early stage and metastatic breast cancer

Hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer is defined by the presence of the estrogen receptor and/or the progesterone receptor and the absence of HER2 gene amplification. HR-positive/HER2-negative breast cancer accounts for 65%–70% of all breast cancers, and incidence increases with increasing age. Treatment varies by stage, and endocrine therapy is the mainstay of treatment in both early stage and late-stage disease. Combinations with cyclin-dependent kinase 4/6 inhibitors have reduced distant recurrence in the early stage setting and improved overall survival in the metastatic setting. Chemotherapy is used based on stage and tumor biology in the early stage setting and after endocrine resistance for advanced disease. New therapies, including novel endocrine agents and antibody-drug conjugates, are now changing the treatment landscape. With the availability of new treatment options, it is important to define the optimal sequence of treatment to maximize clinical benefit while minimizing toxicity. In this review, the authors first discuss the pathologic and molecular features of HR-positive/HER2-negative breast cancer and mechanisms of endocrine resistance. Then, they discuss current and emerging therapies for both early stage and metastatic HR-positive/HER2-negative breast cancer, including treatment algorithms based on current data.