Computer visualization techniques (CVTs) foster evidence-based target delineation

Edward Brian Butler; V. Shukla; A. C. Paulino; H. Hsin Lu; Ryan Butler; M. Smiedala; J. Kurk; W. H. Grant; J. E. McGary; Bin S. Teh

doi:10.1080/07357900600970490

Computer visualization techniques (CVTs) foster evidence-based target delineation

Edward Brian Butler, V. Shukla, A. C. Paulino, H. Hsin Lu, Ryan Butler, M. Smiedala, J. Kurk, W. H. Grant, J. E. McGary, Bin S. Teh

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1-5
Number of pages	5
Journal	Cancer Investigation
Volume	25
Issue number	1
DOIs	https://doi.org/10.1080/07357900600970490
State	Published - Jan 2007

Keywords

Computer visualization techniques
Evidence-based
IMRT
Target delineation

ASJC Scopus subject areas

Cancer Research
Oncology

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10.1080/07357900600970490

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title = "Computer visualization techniques (CVTs) foster evidence-based target delineation",

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.",

keywords = "Computer visualization techniques, Evidence-based, IMRT, Target delineation",

author = "Butler, \{Edward Brian\} and V. Shukla and Paulino, \{A. C.\} and Lu, \{H. Hsin\} and Ryan Butler and M. Smiedala and J. Kurk and Grant, \{W. H.\} and McGary, \{J. E.\} and Teh, \{Bin S.\}",

year = "2007",

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AU - Butler, Edward Brian

AU - Shukla, V.

AU - Paulino, A. C.

AU - Lu, H. Hsin

AU - Butler, Ryan

AU - Smiedala, M.

AU - Kurk, J.

AU - Grant, W. H.

AU - McGary, J. E.

AU - Teh, Bin S.

PY - 2007/1

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AB - 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.

KW - Computer visualization techniques

KW - Evidence-based

KW - IMRT

KW - Target delineation

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Computer visualization techniques (CVTs) foster evidence-based target delineation

Abstract

Keywords

ASJC Scopus subject areas

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