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肿瘤影像学信息学的当前和未来趋势。

Current and future trends in imaging informatics for oncology.

机构信息

Department of Biomedical Informatics and Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA.

出版信息

Cancer J. 2011 Jul-Aug;17(4):203-10. doi: 10.1097/PPO.0b013e3182272f04.

Abstract

Clinical imaging plays an essential role in cancer care and research for diagnosis, prognosis, and treatment response assessment. Major advances in imaging informatics to support medical imaging have been made during the last several decades. More recent informatics advances focus on the special needs of oncologic imaging, yet gaps still remain. We review the current state, limitations, and future trends in imaging informatics for oncology care including clinical and clinical research systems. We review information systems to support cancer clinical workflows including oncologist ordering of radiology studies, radiologist review and reporting of image findings, and oncologist review and integration of imaging information for clinical decision making. We discuss informatics approaches to oncologic imaging including, but not limited to, controlled terminologies, image annotation, and image-processing algorithms. With the ongoing development of novel imaging modalities and imaging biomarkers, we expect these systems will continue to evolve and mature.

摘要

临床影像学在癌症的诊断、预后和治疗反应评估方面发挥着重要作用,是癌症护理和研究的重要组成部分。在过去的几十年中,医学影像学的信息学取得了重大进展,以支持医学成像。最近的信息学进展主要集中在肿瘤影像学的特殊需求上,但差距仍然存在。我们回顾了当前的状态、局限性和未来的趋势在肿瘤学成像的信息学,包括临床和临床研究系统。我们回顾了支持癌症临床工作流程的信息系统,包括肿瘤学家对放射学研究的订购、放射科医生对图像结果的审查和报告,以及肿瘤学家对影像学信息的审查和整合,以进行临床决策。我们讨论了肿瘤影像学的信息学方法,包括但不限于受控术语、图像注释和图像处理算法。随着新型成像方式和成像生物标志物的不断发展,我们预计这些系统将继续发展和成熟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a65/4050062/b9821721df75/nihms-593522-f0001.jpg

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