Current and Future Trends in Imaging Informatics for Oncology

被引:7
|
作者
Levy, Mia A. [1 ]
Rubin, Daniel L. [2 ]
机构
[1] Vanderbilt Univ, Dept Biomed Informat & Med, Div Hematol & Oncol, Nashville, TN 37232 USA
[2] Stanford Univ, Dept Radiol & Med, Div Biomed Informat, Stanford, CA 94305 USA
来源
CANCER JOURNAL | 2011年 / 17卷 / 04期
基金
美国国家卫生研究院;
关键词
Imaging informatics; oncologic imaging; cancer imaging; image annotation; electronic order entry; image repository; image meta-data repository; treatment decision support; cancer treatment response assessment; response criteria; PART; 1; RADIOLOGY;
D O I
10.1097/PPO.0b013e3182272f04
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:203 / 210
页数:8
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