Computer Visualization Techniques (CVTs) Foster Evidence-Based Target Delineation

E. Brian Butler Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas

, M.D.,

V. Shukla Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, M.D.,

A. C. Paulino Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, M.D.,

H. Hsin Lu Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, M.D.,

Ryan Butler Episcopal High School, Houston, Texas

M. Smiedala Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas

, CMD/RTT,

J. Kurk Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas

W. H. Grant III Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, Ph.D.,

J. E. McGary Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, Ph.D. &

Bin S. Teh Department of Radiation Oncology, The Methodist Hospital, Department of Radiology, Section of Radiation Oncology, Houston, Texas; Baylor College of Medicine, Houston, Texas

, M.D. show all

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.

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Computer Visualization Techniques (CVTs) Foster Evidence-Based Target Delineation

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Computer Visualization Techniques (CVTs) Foster Evidence-Based Target Delineation

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