Analysis of outcomes in radiation oncology: An integrated computational platform

被引:8
作者
Liu, Dezhi [1 ]
Ajlouni, Munther [1 ]
Jin, Jian-Yue [1 ]
Ryu, Samuel [1 ]
Siddiqui, Farzan [1 ]
Patel, Anushka [1 ]
Movsas, Benjamin [1 ]
Chetty, Indrin J. [1 ]
机构
[1] Henry Ford Hlth Syst, Dept Radiat Oncol, Detroit, MI 48202 USA
关键词
dosimetry; medical administrative data processing; medical diagnostic computing; patient diagnosis; radiation therapy; NORMAL TISSUE; COMPLICATION PROBABILITY; RADIOTHERAPY; VOLUME; THERAPY; OPTIMIZATION; RADIOSURGERY; RATIONALE; TOLERANCE; TOXICITY;
D O I
10.1118/1.3114022
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Radiotherapy research and outcome analyses are essential for evaluating new methods of radiation delivery and for assessing the benefits of a given technology on locoregional control and overall survival. In this article, a computational platform is presented to facilitate radiotherapy research and outcome studies in radiation oncology. This computational platform consists of (1) an infrastructural database that stores patient diagnosis, IMRT treatment details, and follow-up information, (2) an interface tool that is used to import and export IMRT plans in DICOM RT and AAPM/RTOG formats from a wide range of planning systems to facilitate reproducible research, (3) a graphical data analysis and programming tool that visualizes all aspects of an IMRT plan including dose, contour, and image data to aid the analysis of treatment plans, and (4) a software package that calculates radiobiological models to evaluate IMRT treatment plans. Given the limited number of general-purpose computational environments for radiotherapy research and outcome studies, this computational platform represents a powerful and convenient tool that is well suited for analyzing dose distributions biologically and correlating them with the delivered radiation dose distributions and other patient-related clinical factors. In addition the database is web-based and accessible by multiple users, facilitating its convenient application and use.
引用
收藏
页码:1680 / 1689
页数:10
相关论文
共 45 条
[1]   MMCTP: a radiotherapy research environment for Monte Carlo and patient-specific treatment planning [J].
Alexander, A. ;
DeBlois, F. ;
Stroian, G. ;
Al-Yahya, K. ;
Heath, E. ;
Seuntjens, J. .
PHYSICS IN MEDICINE AND BIOLOGY, 2007, 52 (13) :N297-N308
[2]   TISSUE POPULATION CONFIGURATION AS A MODIFIER OF ORGAN DOSE-RESPONSE [J].
ARCHAMBEAU, JO ;
SHYMKO, RM .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1988, 15 (03) :727-734
[3]   Promising survival with three-dimensional conformal radiation therapy for non-small cell lung cancer [J].
Armstrong, J ;
Raben, A ;
Zelefsky, M ;
Burt, M ;
Leibel, S ;
Burman, C ;
Kutcher, G ;
Harrison, L ;
Hahn, C ;
Ginsberg, R ;
Rusch, V ;
Kris, M ;
Fuks, Z .
RADIOTHERAPY AND ONCOLOGY, 1997, 44 (01) :17-22
[4]   FITTING OF NORMAL TISSUE TOLERANCE DATA TO AN ANALYTIC-FUNCTION [J].
BURMAN, C ;
KUTCHER, GJ ;
EMAMI, B ;
GOITEIN, M .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1991, 21 (01) :123-135
[5]  
Chetty I, 2008, RADIOTHER ONCOL, V88, pS30
[6]  
Dahl R, 2002, MED PHYS, V29, P1364
[7]   Image-guided radiotherapy: rationale, benefits, and limitations [J].
Dawson, Laura A. ;
Sharpe, Michael B. .
LANCET ONCOLOGY, 2006, 7 (10) :848-858
[8]   Applying World Wide Web technology to the study of patients with rare diseases [J].
de Groen, PC ;
Barry, JA ;
Schaller, WJ .
ANNALS OF INTERNAL MEDICINE, 1998, 129 (02) :107-113
[9]   CERR: A computational environment for radiotherapy research [J].
Deasy, JO ;
Blanco, AI ;
Clark, VH .
MEDICAL PHYSICS, 2003, 30 (05) :979-985
[10]   TOLERANCE OF NORMAL TISSUE TO THERAPEUTIC IRRADIATION [J].
EMAMI, B ;
LYMAN, J ;
BROWN, A ;
COIA, L ;
GOITEIN, M ;
MUNZENRIDER, JE ;
SHANK, B ;
SOLIN, LJ ;
WESSON, M .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1991, 21 (01) :109-122