In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.
In vivo microscopy as an adjunctive tool to guide detection, diagnosis, and treatment.
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DOI：
10.1117/1.jbo.27.4.040601
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发表时间：
2022-04
影响因子：
3.5
通讯作者：
Liu, Jonathan T. C.
中科院分区：
文献类型：
--
作者：
Bishop, Kevin W.;Maitland, Kristen C.;Rajadhyaksha, Milind;Liu, Jonathan T. C.
关键词：
已经有许多学术和商业努力开发高分辨率的体内显微镜，用于各种临床用例，包括早期疾病检测和手术指导。虽然这些努力已经产生了许多引人注目的研究、商业化产品和出版物，但除了少数临床应用（例如皮肤科）之外，主流临床采用相对缓慢。在这里，我们的目标有三个：(1)引入并激发对体内显微镜（IVM）作为临床检测、诊断和治疗辅助工具的需求；(2)讨论该领域面临的关键转化挑战；(3)提出最佳实践和建议，以促进临床采用。我们将提供来自不同临床领域的具体例子，如皮肤病学、口腔/胃肠肿瘤学和神经外科，以加强我们的观察和建议。虽然IVM技术的逐步改进和优化应该并将继续发生，但未来的转化工作将受益于以下方面：(1)整合临床和行业合作伙伴，预先定义和维护一个引人注目的价值主张；(2)确定多模式/多尺度成像工作流程，这是在大多数临床场景中取得成功所必需的；(3)开发有效的临床决策支持人工智能工具，同时意识到这些工具的完全采用将是缓慢的。成像模式的融合、学术-行业-临床医生的合作以及新的计算能力有可能在未来几十年促进IVM的快速发展和采用。
There have been numerous academic and commercial efforts to develop high-resolution in vivo microscopes for a variety of clinical use cases, including early disease detection and surgical guidance. While many high-profile studies, commercialized products, and publications have resulted from these efforts, mainstream clinical adoption has been relatively slow other than for a few clinical applications (e.g., dermatology). Here, our goals are threefold: (1) to introduce and motivate the need for in vivo microscopy (IVM) as an adjunctive tool for clinical detection, diagnosis, and treatment, (2) to discuss the key translational challenges facing the field, and (3) to propose best practices and recommendations to facilitate clinical adoption. We will provide concrete examples from various clinical domains, such as dermatology, oral/gastrointestinal oncology, and neurosurgery, to reinforce our observations and recommendations. While the incremental improvement and optimization of IVM technologies should and will continue to occur, future translational efforts would benefit from the following: (1) integrating clinical and industry partners upfront to define and maintain a compelling value proposition, (2) identifying multimodal/multiscale imaging workflows, which are necessary for success in most clinical scenarios, and (3) developing effective artificial intelligence tools for clinical decision support, tempered by a realization that complete adoption of such tools will be slow. The convergence of imaging modalities, academic-industry-clinician partnerships, and new computational capabilities has the potential to catalyze rapid progress and adoption of IVM in the next few decades.
影响因子：
2.8
作者：
Yin C;Wei L;Kose K;Glaser AK;Peterson G;Rajadhyaksha M;Liu JTC
通讯作者：
Liu JTC