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医学系统影像学:全面综述。

Systematic imaging in medicine: a comprehensive review.

机构信息

Department of Nuclear Medicine and PET center, The Second Hospital of Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.

Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, 6-7-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan.

出版信息

Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1736-1758. doi: 10.1007/s00259-020-05107-z. Epub 2020 Nov 19.

DOI:10.1007/s00259-020-05107-z
PMID:33210241
Abstract

Systematic imaging can be broadly defined as the systematic identification and characterization of biological processes at multiple scales and levels. In contrast to "classical" diagnostic imaging, systematic imaging emphasizes on detecting the overall abnormalities including molecular, functional, and structural alterations occurring during disease course in a systematic manner, rather than just one aspect in a partial manner. Concomitant efforts including improvement of imaging instruments, development of novel imaging agents, and advancement of artificial intelligence are warranted for achievement of systematic imaging. It is undeniable that scientists and radiologists will play a predominant role in directing this burgeoning field. This article introduces several recent developments in imaging modalities and nanoparticles-based imaging agents, and discusses how systematic imaging can be achieved. In the near future, systematic imaging which combines multiple imaging modalities with multimodal imaging agents will pave a new avenue for comprehensive characterization of diseases, successful achievement of image-guided therapy, precise evaluation of therapeutic effects, and rapid development of novel pharmaceuticals, with the final goal of improving human health-related outcomes.

摘要

系统影像学可以广义地定义为在多个尺度和层次上系统地识别和描述生物学过程。与“经典”诊断影像学相比,系统影像学强调以系统的方式检测疾病过程中发生的整体异常,包括分子、功能和结构改变,而不仅仅是部分方面。需要包括改进成像仪器、开发新型成像剂和推进人工智能等方面的共同努力,以实现系统影像学。不可否认的是,科学家和放射科医生将在指导这一迅速发展的领域中发挥主导作用。本文介绍了几种成像方式和基于纳米颗粒的成像剂的最新进展,并讨论了如何实现系统影像学。在不久的将来,将多种成像方式与多模态成像剂相结合的系统影像学将为全面描述疾病、成功实现图像引导治疗、精确评估治疗效果以及快速开发新型药物开辟新途径,最终目标是改善人类健康相关结果。

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Radiology. 2018 Dec;289(3):738-739. doi: 10.1148/radiol.2018181981. Epub 2018 Sep 18.
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Artificial intelligence in radiology.人工智能在放射学中的应用。
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A First-in-Human Study of Ga-Nanocolloid PET/CT Sentinel Lymph Node Imaging in Prostate Cancer Demonstrates Aberrant Lymphatic Drainage Pathways.Ga-纳米胶体 PET/CT 前哨淋巴结成像在前列腺癌中的首次人体研究显示异常的淋巴引流途径。
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