| Literature DB >> 33210241 |
Kai Zhang1,2, Yujie Sun3, Shuang Wu1, Min Zhou1,4, Xiaohui Zhang1, Rui Zhou1, Tingting Zhang1, Yuanxue Gao1, Ting Chen1, Yao Chen1, Xin Yao5, Yasuyoshi Watanabe6, Mei Tian7, Hong Zhang8,9,10.
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.Entities:
Keywords: Artificial intelligence; Imaging agent; Multimodality; Nanoparticle; Systematic imaging
Year: 2020 PMID: 33210241 DOI: 10.1007/s00259-020-05107-z
Source DB: PubMed Journal: Eur J Nucl Med Mol Imaging ISSN: 1619-7070 Impact factor: 9.236