BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//RENCI - ECPv5.4.0.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:RENCI
X-ORIGINAL-URL:https://archive.renci.org
X-WR-CALDESC:Events for RENCI
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TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20110313T070000
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TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20111106T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20111214T120000
DTEND;TZID=America/New_York:20111214T130000
DTSTAMP:20260422T032538
CREATED:20111121T212939Z
LAST-MODIFIED:20111121T212939Z
UID:8539-1323864000-1323867600@archive.renci.org
SUMMARY:RENCI Brown Bag Lecture
DESCRIPTION:Title: Improving Radiotherapy by Visualizing Prior Patient Plans \nAbstract: \nIntensity Modulated Radiation Therapy (IMRT) is the most common type of radiation therapy\, and in the U.S. it is most frequently used to treat prostate cancer. Given the prevalence of prostate cancer\, improving prostate IMRT is a topic of great clinical significance. The research team\, led by Joseph Lo\, of the radiology department at Duke University School of Medicine and Shiva Das\, radiation oncologist at the Duke School of Medicine\, has accrued a large knowledge base of over 400 prostate cancer cases from three institutions. Using this knowledge base\, their goal is to match each new patient with patients in the database with similar imaging data. \nThis presentation will provide an overview of the clinical problem and the team’s knowledge-based approach to developing new radiotherapy plans\, including a visualization tool created by RENCI senior research software developer Steve Chall. \nPresenters: Shiva Das and Joseph Lo\,  Duke University School of Medicine; Steve Chall\, RENCI
URL:https://archive.renci.org/event/renci-brown-bag-lecture-6/
LOCATION:RENCI's Biltmore Conference Room\, 100 Europa Drive\, 5th floor\, East\, Chapel Hill\, NC\, United States
CATEGORIES:Brown Bag,Calendar
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