NDLI: Automatically-generated rectal dose constraints in intensity-modulated radiation therapy for prostate cancer

Content Provider	Springer Nature Link
Author	Park, Soah Bae, Hoonsik Lee, Meyeon Han, Taejin Kang, Sei Kwon Kim, Kyoung Joo Suh, Tae Suk Yoon, Jai Woong Hwang, Taejin Kim, Yong Nam Kim, Haeyoung Kim, Soo Kon Cheong, Kwang Ho
Copyright Year	2015
Abstract	The dose constraint during prostate intensity-modulated radiation therapy (IMRT) optimization should be patient-specific for better rectum sparing. The aims of this study are to suggest a novel method for automatically generating a patient-specific dose constraint by using an experience-based dose volume histogram (DVH) of the rectum and to evaluate the potential of such a dose constraint qualitatively. The normal tissue complication probabilities (NTCPs) of the rectum with respect to V$_{ %ratio }$ in our study were divided into three groups, where V$_{ %ratio }$ was defined as the percent ratio of the rectal volume overlapping the planning target volume (PTV) to the rectal volume: (1) the rectal NTCPs in the previous study (clinical data), (2) those statistically generated by using the standard normal distribution (calculated data), and (3) those generated by combining the calculated data and the clinical data (mixed data). In the calculated data, a random number whose mean value was on the fitted curve described in the clinical data and whose standard deviation was 1% was generated by using the ‘randn’ function in the MATLAB program and was used. For each group, we validated whether the probability density function (PDF) of the rectal NTCP could be automatically generated with the density estimation method by using a Gaussian kernel. The results revealed that the rectal NTCP probability increased in proportion to V$_{ %ratio }$, that the predictive rectal NTCP was patient-specific, and that the starting point of IMRT optimization for the given patient might be different. The PDF of the rectal NTCP was obtained automatically for each group except that the smoothness of the probability distribution increased with increasing number of data and with increasing window width. We showed that during the prostate IMRT optimization, the patient-specific dose constraints could be automatically generated and that our method could reduce the IMRT optimization time as well as maintain the IMRT plan quality.
Starting Page	1918
Ending Page	1925
Page Count	8
File Format	PDF
ISSN	03744884
Journal	Journal of the Korean Physical Society
Volume Number	66
Issue Number	12
e-ISSN	19768524
Language	English
Publisher	The Korean Physical Society
Publisher Date	2015-07-09
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	IMRT optimization Dose constraint Gaussian kernel Radiation treatment Theoretical, Mathematical and Computational Physics NTCP Physics Particle and Nuclear Physics
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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