Assessing the performance of an automated breast treatment planning software

被引:6
|
作者
Dragojevic, Irena [1 ]
Hoisak, Jeremy D. P. [1 ]
Mansy, Gina J. [1 ]
Rahn, Douglas A. [1 ]
Manger, Ryan P. [1 ]
机构
[1] Univ Calif San Diego, Dept Radiat Med & Appl Sci, 3855 Hlth Sci Dr, La Jolla, CA 92037 USA
来源
关键词
automation; automated planning; breast cancer; breast radiotherapy; dosimetry; treatment planning;
D O I
10.1002/acm2.13228
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
Purpose To assess the dosimetric performance of an automated breast planning software. Methods We retrospectively reviewed 15 breast cancer patients treated with tangent fields according to the RTOG 1005 protocol and 30 patients treated off-protocol. Planning with electronic compensators (eComps) via manual, iterative fluence editing was compared to an automated planning program called EZFluence (EZF) (Radformation, Inc.). We compared the minimum dose received by 95% of the volume (D95%), D90%, the volume receiving at least 105% of prescription (V105%), V95%, the conformity index of the V95% and PTV volumes (CI95%), and total monitor units (MUs). The PTV_Eval structure generated by EZF was compared to the RTOG 1005 breast PTV_Eval structure. Results The average D95% was significantly greater for the EZF plans, 95.0%, vs. the original plans 93.2% (P = 0.022). CI95% was less for the EZF plans, 1.18, than the original plans, 1.48 (P = 0.09). D90% was only slightly greater for EZF, averaging at 98.3% for EZF plans and 97.3% for the original plans (P = 0.0483). V105% (cc) was, on average, 27.8cc less in the EZF breast plans, which was significantly less than for those manually planned. The average number of MUs for the EZF plans, 453, was significantly less than original protocol plans, 500 (P = 8 x 10(-6)). The average difference between the protocol PTV volume and the EZF PTV volume was 196 cc, with all but two cases having a larger EZF PTV volume (P = 0.020). Conclusion EZF improved dose homogeneity, coverage, and MU efficiency vs. manually produced eComp plans. The EZF-generated PTV eval is based on the volume encompassed by the tangents, and is not appropriate for dosimetric comparison to constraints for RTOG 1005 PTV eval. EZF produced dosimetrically similar or superior plans to manual, iteratively derived plans and may also offer time and efficiency benefits.
引用
收藏
页码:115 / 120
页数:6
相关论文
共 50 条
  • [31] Recommissioning of treatment planning software
    Mott, D
    BRITISH JOURNAL OF RADIOLOGY, 1997, 70 : 319 - 320
  • [32] Evaluation of a new commercial automated planning software for tangential breast intensity-modulated radiation therapy
    Mizuno, Norifumi
    Yamauchi, Ryouhei
    Kawamori, Jiro
    Itazawa, Tomoko
    Shimbo, Munefumi
    Nishimura, Keiichiro
    Yamano, Takafumi
    Hatanaka, Shogo
    Hariu, Masatsugu
    Takahashi, Takeo
    RADIOLOGICAL PHYSICS AND TECHNOLOGY, 2019, 12 (03) : 249 - 259
  • [33] Evaluation of a new commercial automated planning software for tangential breast intensity-modulated radiation therapy
    Norifumi Mizuno
    Ryouhei Yamauchi
    Jiro Kawamori
    Tomoko Itazawa
    Munefumi Shimbo
    Keiichiro Nishimura
    Takafumi Yamano
    Shogo Hatanaka
    Masatsugu Hariu
    Takeo Takahashi
    Radiological Physics and Technology, 2019, 12 : 249 - 259
  • [34] Software evolutionary architecture: Automated planning for functional changes
    Chondamrongkul, Nacha
    Sun, Jing
    SCIENCE OF COMPUTER PROGRAMMING, 2023, 230
  • [35] Reducing Breast Treatment Planning Process Time With Automated Script-Based 3D Planning
    Zawisza, I.
    Zatwarnicki, C.
    Zhang, H.
    Murphy, C. T., Jr.
    Smith, A. J. T.
    Haas, M.
    Kota, C.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E274 - E274
  • [36] Sensitivity of automated and manual treatment planning approaches to contouring variation in early-breast cancer treatment
    Zeverino, Michele
    Piccolo, Consiglia
    Marguet, Maud
    Jeanneret-Sozzi, Wendy
    Bourhis, Jean
    Bochud, Francois
    Moeckli, Raphael
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2024, 123
  • [37] Improving the efficiency of breast radiotherapy treatment planning using a semi-automated approach
    Mitchell, Robert A.
    Wai, Philip
    Colgan, Ruth
    Kirby, Anna M.
    Donovan, Ellen M.
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2017, 18 (01): : 18 - 24
  • [38] Assessing offender needs and performance for planning and monitoring criminal justice drug treatment
    Roberts, Edward A.
    Contois, Michael W.
    Willis, James C., Sr.
    Worthington, Mary Rose
    Knight, Kevin
    CRIMINAL JUSTICE AND BEHAVIOR, 2007, 34 (09) : 1179 - 1187
  • [39] Automated QA for radiotherapy treatment planning
    Petit, S.
    Wang, Y.
    Heijmen, B.
    RADIOTHERAPY AND ONCOLOGY, 2016, 119 : S285 - S286
  • [40] Automated treatment planning of postmastectomy radiotherapy
    Kisling, Kelly
    Zhang, Lifei
    Shaitelman, Simona F.
    Anderson, David
    Thebe, Tselane
    Yang, Jinzhong
    Balter, Peter A.
    Howell, Rebecca M.
    Jhingran, Anuja
    Schmeler, Kathleen
    Simonds, Hannah
    du Toit, Monique
    Trauernicht, Christoph
    Burger, Hester
    Botha, Kobus
    Joubert, Nanette
    Beadle, Beth M.
    Court, Laurence
    MEDICAL PHYSICS, 2019, 46 (09) : 3767 - 3775