[医学诊断成像]。

Q4 Medicine
Terunaga Inage, Hidemi Suzuki
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引用次数: 0

摘要

多年来,医学成像技术取得了重大进展。目前,有几个商业的后期处理软件解决方案,如Synapse Vinsent和ziostation,可以帮助创建逼真的三维(3D)图像。使用虚拟建模的三维肺重建提供了在目标段或肺叶内可视化肿瘤的机会,并确认支气管血管解剖结构,从而实现最佳的手术计划。交叉现实(XR)——包括虚拟现实(VR)、增强现实(AR)和混合现实(MR)——使外科医生能够与基于现实的计算机生成的环境进行交互。在胸外科手术中,XR工具支持解剖评估、通过逼真的程序模拟进行手术培训、术前计划和术中指导。单光子发射计算机断层扫描(SPECT-CT)肺灌注显像可以在肺癌候选者术前评估期间定量肺叶灌注,并提供更准确的术后残余肺功能预测。分数血流储备计算机断层扫描(FFRCT)分析是一种非侵入性诊断工具,用于确定冠状动脉疾病(CAD)对有CAD症状的患者的生理影响。FFRCT已被证明可以减少无明显冠心病的冠状动脉造影的必要性。冠状动脉ct血管造影(CCTA)是一种高度敏感的评估血管解剖、冠状动脉斑块、钙化和狭窄的方法。冠状动脉周围脂肪衰减指数(FAI)是一种源自CCTA的新型成像生物标志物,通过检测冠状动脉周围脂肪组织衰减的梯度来评估血管炎症。一些研究表明,冠状动脉周围FAI升高与血管炎症和心脏事件风险增加有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Medical Diagnostic Imaging].

Significant advancements in medical imaging technology have been made over the years. Currently, several commercial post-processing software solutions-such as Synapse Vinsent and Ziostation-are available to facilitate the creation of photorealistic three-dimensional (3D) images. Three-dimensional lung reconstruction with virtual modeling offers the opportunity to visualize tumors within the target segment or lobe and to confirm the bronchovascular anatomy, thereby enabling optimal surgical planning. Cross reality (XR)-which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR)-enables surgeons to interact with computer-generated environments based on reality. In thoracic surgery, XR tools support anatomical assessment, surgical training through lifelike procedural simulations, preoperative planning, and intraoperative guidance. Lung perfusion scintigraphy with single photon emission computed tomography (SPECT-CT) allows for quantification of lobar perfusion during preoperative assessment of lung cancer candidates and provides a more accurate prediction of postoperative residual pulmonary function. Fractional flow reserve computed tomography (FFRCT) analysis is a non-invasive diagnostic tool used to determine the physiological impact of coronary artery disease (CAD) in patients with symptoms suggestive of CAD. The FFRCT has been demonstrated to reduce the necessity for invasive coronary angiography that shows no significant CAD. Coronary computed tomography angiography (CCTA) is a highly sensitive method of evaluating vascular anatomy, coronary plaque, calcification and stenosis. The pericoronary fat attenuation index (FAI), a new imaging biomarker derived from CCTA, assesses vascular inflammation by detecting respective gradients in coronary perivascular adipose tissue attenuation. Several studies have shown that elevated pericoronary FAI is associated with vascular inflammation and increased risk of cardiac events.

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