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开影Precision 32 精密CT 助力疫情筛查

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发表于 2020-10-14 12:52:58 | 显示全部楼层 |阅读模式

                    

                    

                    
                    
                    <section powered-by="gulangu"><section><section powered-by="gulangu"><section><section data-role="paragraph" data-color="rgb(182, 228, 253)" data-custom="rgb(182, 228, 253)"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section><p><p><img src="image/20201014/86b79d371e9862b01189f0252a03b2cd_1.png" /></p></p></section><section><section><span><strong></strong></span></section><p><span>医疗器械媒体报道先锋</span></p><p><span>分享专业医疗器械知识</span></p></section><section><section><section><span>关注</span></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section><p><br  /></p><p><span>抗“疫”大战正如火如荼,在最新发布的《第六版新冠诊疗方案》中,<span>湖北省内外病例诊断标准不再区分对待,且第五版诊疗方案中增设的临床诊断病例也被取消。核酸+CT影像的组合再次成为新冠诊断的第一准则。</span></span></p><p><span><br  /></span></p><p><span>为了满足抗“疫“前线的影像诊断需求,众多医学影像设备生产企业各自一展所长,车载CT、方舱CT等新鲜词汇不断映入眼帘,开普影像也在这场战役中祭出了“大杀器”开影Precision 32 CT,助力抗“疫”前线。</span></p><p><br  /></p><section><p><img src="image/20201014/9371e797ca2727d9180c854391f3a716_2.png" /></p></section><section><br  /></section><p><span>CT影像之所以能够成为新冠诊断的重要标准之一,主要是因为</span><span>CT能够显示出肺炎导致的斑片、渗出、实变等改变。因新型冠状病毒感染肺部影像表现早于临床,因此影像学检查对于当前新型肺炎的临床前期筛查和诊断具有不可替代的作用,并且<strong>越薄层扫描越可清晰地显示病灶情况</strong>。</span></p><p><span><br  /></span></p><p><p><img src="image/20201014/e90789ac7a8fa4b748057e8f429d278c_3.jpg" /></p><br  /></p><section><section powered-by="gulangu"><section><br  /></section></section></section><p><span>开影Precision 32精密断层能谱CT的特点恰好匹配抗“疫”需求,<span>开影Precision 32 CT独有精密断层扫描技术,能够得到<strong>0.275mm超薄层图像</strong>,将胸部精密断层扫描所得图像与传统CT胸部扫描所得图像进行对比,可见精密断层图像中各结构显示更加精密细腻,细微结构及其相互连接关系清晰可见。在鉴别假阳性病例时,精密断层技术独树一帜,0.275mm图像可有效甄别病变,避免造成误诊。</span></span></p><section powered-by="gulangu"><span>有医生指出:</span><span>“该技术启发了新的科研方向,其0.275mm薄层图像提供出更多的影像信息,可开展精密断层相关的科研工作。</span><span>”</span></section><section powered-by="gulangu"><span><br  /></span></section><p><span><p><img src="image/20201014/d2c982ba6800f82af1608cb2514ba2ab_4.jpg" /></p></span></p><p><span><br  /></span></p><p><span>从以下几个案例可以清晰地得到这一结论。</span></p><p><br  /></p><p><span>病例1:患者男,56岁,新型冠状病毒肺炎。左图为常规5mm胸部扫描图像,可见肺部斑片状实变影像;右图为0.275mm精密断层影像,肺纹理显示更加清晰,可以清晰看到实变区域的空气支气管征(箭头)。</span></p><p><br  /></p><p><p><img src="image/20201014/09cddd6ac0d071d3e185ba44e061f11f_5.jpg" /></p></p><section powered-by="gulangu"><section><br  /></section><section><span>病例2:患者女,30岁,左图为常规5mm胸部扫描图像,可见肺部斑片状实变影,怀疑可能感染新型肺炎。进一步进行0.275mm精密断层扫描,精密断层图像(右图)可见常规扫描的实变影已经纤维化,为陈旧性病变。再次追问病史,该患者一年前得过普通肺炎但无任何症状。通过精密断层的精密图像排除了新型冠状病毒肺炎。</span></section><section><br  /></section><section><p><img src="image/20201014/0fb7809b8b6ef19796c607aa25ea199d_6.jpg" /></p><br  /></section></section><section powered-by="gulangu"><br  /></section><section powered-by="gulangu"><p><span>除了图像上的优势,Precision 32 精密断层能谱CT为了最大程度降低患者所受的辐射剂量,推出了超低能CT扫描、P-Dose、P-IR等低剂量技术。提供专用的儿童扫描方案,并结合60kV超低能CT扫描和P-Dose精确的剂量调制,以及在适当剂量水平优化的参数为了关爱儿童而专门设计,能使儿童CT扫描剂量降低70%。P-Dose能根据人体各个不同部位的密度和形态智能调节各个部位的扫描剂量。而P-IR高级迭代重建算法则保证了在各个低剂量扫描模式下仍然能得到高品质的图像质量。</span></p><p><br  /></p><p><p><img src="image/20201014/f3e44ba57f5afba5fc4a93cfd57e57ec_7.jpg" /></p></p><p><br  /></p><p><span>另外,开影Precision 32 精密断层能谱CT在CT机架、控制台的CT 控制盒上均设计了扫描床控制按钮,操作人员无需进入扫描室进行摆位操作,隔室即可操作,有效降低医护人员的感染风险。</span></p><p><span><br  /></span></p><p><span><p><img src="image/20201014/8fb467d3207a1d6154d7d031801064ee_8.jpg" /></p></span><br  /></p></section></section></section></section></section><p><br  /></p><p><span>有这样的设备支持,我们对早日战胜新冠充满了信心,相信那一天将很快到来。</span><br  /></p><p><br  /></p><section data-role="outer" label="Powered by gulangu"><section data-role="paragraph" data-color="#757576"><section data-role="paragraph"><section><section><section 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