TY - GEN
T1 - A statistical approach for achievable dose querying in IMRT planning
AU - Simari, Patricio
AU - Wu, Binbin
AU - Jacques, Robert
AU - King, Alex
AU - McNutt, Todd
AU - Taylor, Russell
AU - Kazhdan, Michael
PY - 2010
Y1 - 2010
N2 - The task of IMRT planning, particularly in head-and-neck cancer, is a difficult one, often requiring days of work from a trained dosimetrist. One of the main challenges is the prescription of achievable target doses that will be used to optimize a treatment plan. This work explores a data-driven approach in which effort spent on past plans is used to assist in the planning of new patients. Using a database of treated patients, we identify the features of patient geometry that are correlated with received dose and use these to prescribe target dose levels for new patients. We incorporate our approach in a quality-control system, identifying patients with organs that received a dose significantly higher than the one recommended by our method. For all these patients, we have found that a replan using our predicted dose results in noticeable sparing of the organ without compromising dose to other treatment volumes.
AB - The task of IMRT planning, particularly in head-and-neck cancer, is a difficult one, often requiring days of work from a trained dosimetrist. One of the main challenges is the prescription of achievable target doses that will be used to optimize a treatment plan. This work explores a data-driven approach in which effort spent on past plans is used to assist in the planning of new patients. Using a database of treated patients, we identify the features of patient geometry that are correlated with received dose and use these to prescribe target dose levels for new patients. We incorporate our approach in a quality-control system, identifying patients with organs that received a dose significantly higher than the one recommended by our method. For all these patients, we have found that a replan using our predicted dose results in noticeable sparing of the organ without compromising dose to other treatment volumes.
KW - Data-driven IMRT planning
KW - Overlap Volume Histogram
KW - achievable dose querying
UR - http://www.scopus.com/inward/record.url?scp=84868527150&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-15711-0_65
DO - 10.1007/978-3-642-15711-0_65
M3 - Conference contribution
C2 - 20879440
AN - SCOPUS:84868527150
SN - 3642157106
SN - 9783642157103
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 521
EP - 528
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
T2 - 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Y2 - 20 September 2010 through 24 September 2010
ER -