Evaluation of auto contouring accuracy in 3D planning system

3차원 입체조형치료시 Auto Contouring tool의 유용성 평가

  • Choi, JM (Dept. of Radiation Oncology, samsung Medical Center, Sungkyunkwan University) ;
  • Ju, SG (Dept. of Radiation Oncology, samsung Medical Center, Sungkyunkwan University) ;
  • Park, JY (Dept. of Radiation Oncology, samsung Medical Center, Sungkyunkwan University) ;
  • Park, YH (Dept. of Radiation Oncology, samsung Medical Center, Sungkyunkwan University) ;
  • Kim, JS (Dept. of Radiation Oncology, samsung Medical Center, Sungkyunkwan University)
  • 최지민 (성균관의대 삼성서울병원 치료방사선과) ;
  • 주상규 (성균관의대 삼성서울병원 치료방사선과) ;
  • 박주영 (성균관의대 삼성서울병원 치료방사선과) ;
  • 박영환 (성균관의대 삼성서울병원 치료방사선과) ;
  • 김종식 (성균관의대 삼성서울병원 치료방사선과)
  • Published : 2002.12.01

Abstract

Introduction : It is essential to input patients external contour in 3D treatment plan. We would like to see changes in depth and dose when 3D RTP is operating auto contouring when windows value (Width/Level) differs in this process. Material & Methode : We have analyzed the results with 3D RTP after CT Scanning with round CT Phantom. We have compared and analyzed MU values according to depth changes to Isocenter changing external contour and inputting random Window value. We have watched change values according to dose optimization in 4 directions(LAO, LPO, RAO, RPO), We plan 100 case for exact analyzation. We have results changing window value random to each beam in 100 cans. Result : It showed change between minimum and maximum value in 4 beam is Depth 0.26mm, MU $1.2\%$ in LAO. It showed LPO-Depth 0.13mm, MU $0.9\%$, RAO-Depth 0.2mm MU $0.8\%$, RPO-Depth 0.27mm, MU $1.1\%$ Conclusion : Maximum change in depth 0.27 mm, MU error rate is $0.12\%$ according to Window change. As we can see in these results, it seems Window value change doesn't effect in treatment. However, it seems there needs to select appropriate Window value in precise treatment.

Keywords