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Feasibility and Merits of Performing Preclinical Imaging on Clinical Radiology and Nuclear Medicine Systems

机译:在临床放射学和核医学系统上进行临床前成像的可行性和优点

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Aim. Researchers have limited access to systems dedicated to imaging small laboratory animals. This paper aims to investigate the feasibility and merits of performing preclinical imaging on clinical systems.Materials and Methods. Scans were performed on rat and mouse models of diseases or injuries on four radiology systems, tomosynthesis, computed tomography (CT), positron emission tomography/computed tomography (PET-CT), and Magnetic Resonance Imaging (MRI), based on the availability at the author’s institute.Results. Tomosysthesis delineated soft tissue anatomy and hard tissue structure with superb contrast and spatial resolution at minimal scan time and effort. CT allowed high resolution volumetric visualization of bones. Molecular imaging with PET was useful for detecting cancerous tissue in mouse but at the expense of poor resolution. MRI depicted abnormal or intervened tissue at quality and resolution sufficient for experimental studies. The paper discussed limitations of the clinical systems in preclinical imaging as well as challenges regarding the need of additional gadgets, modifications, or upgrades required for longitudinally scanning animals under anesthesia while monitoring their vital signs.Conclusion. Clinical imaging technologies can potentially make cost-effective and efficient contributions to preclinical efforts in obtaining anatomical, structural, and functional information from the underlying tissue while minimally compromising the data quality in certain situations.
机译:目标。研究人员只能使用专用于对小型实验动物进行成像的系统。本文旨在探讨在临床系统上进行临床前成像的可行性和优点。材料与方法。根据以下位置的可用性,在四个放射线系统(断层合成,计算机断层扫描(CT),正电子发射断层扫描/计算机断层扫描(PET-CT)和磁共振成像(MRI))的大鼠和小鼠模型上进行疾病或损伤扫描作者的研究所。结果。断层成像以最小的扫描时间和精力,以出色的对比度和空间分辨率描绘了软组织的解剖结构和硬组织的结构。 CT允许对骨骼进行高分辨率的体积可视化。 PET分子成像可用于检测小鼠的癌性组织,但以分辨率较差为代价。 MRI以足以进行实验研究的质量和分辨率描绘出异常或介入的组织。这篇论文讨论了临床系统在临床前成像中的局限性,以及在麻醉下纵向扫描动物同时监测其生命体征所需的其他小工具,修改或升级的挑战。结论。临床成像技术可以为从基础组织获得解剖,结构和功能信息的临床前工作做出具有成本效益的高效贡献,同时在某些情况下最小化数据质量。

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