1. Computer visualization techniques (CVTs) foster evidence-based target delineation
- Author
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M. Smiedala, John E. McGary, Bin S. Teh, V. Shukla, H. Hsin Lu, Walter H. Grant, J. Kurk, E. Brian Butler, Ryan Butler, and Arnold dela Cruz Paulino
- Subjects
Multimodal imaging ,Cancer Research ,Creative visualization ,Evidence-based practice ,Emerging technologies ,business.industry ,Computer science ,media_common.quotation_subject ,Radiotherapy Planning, Computer-Assisted ,General Medicine ,Machine learning ,computer.software_genre ,Oncology ,Neoplasms ,Image Processing, Computer-Assisted ,Radiation Oncology ,Humans ,Artificial intelligence ,Intensity modulated radiotherapy ,Outcome data ,business ,computer ,media_common - Abstract
Computer visualization techniques (CVTs) are an emerging technology that can organize all cancer specialists. This article describes CVTs' ability to maximize the currently untapped advantages of intensity modulated radiotherapy (IMRT). The visual speed and dynamic strategies inherent in CVTs improves IMRT by distilling vast amounts of anatomic, multimodal imaging, textual/meaning, and surgical/outcome data into a large, rigorous, standardized evidence base of storable target delineation plans. This ability to standardize strategies will allow the collection of meaningful evidence based outcome data.
- Published
- 2007