Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy

被引:25
|
作者
Panettieri, Vanessa [1 ]
Smith, Ryan L. [1 ,2 ]
Mason, Natasha J. [1 ]
Millar, Jeremy L. [1 ,2 ,3 ,4 ]
机构
[1] Alfred Hosp, William Buckland Radiotherapy Ctr, Melbourne, Vic, Australia
[2] RMIT Univ, Sch Appl Sci, Melbourne, Vic, Australia
[3] Alfred Hosp, Alfred Hlth Radiat Oncol, Melbourne, Vic, Australia
[4] Monash Univ, Sch Publ Hlth, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
来源
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS | 2014年 / 15卷 / 06期
关键词
HDR brachytherapy; treatment planning; optimization algorithm; prostate cancer; DOSE-RATE BRACHYTHERAPY; TUMOR-CONTROL PROBABILITY; RADIATION-THERAPY; CANCER; ALPHA/BETA; RADIOTHERAPY; IRRADIATION; MONOTHERAPY; PD-103; I-125;
D O I
10.1120/jacmp.v15i6.5055
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
Publications have reported the benefits of using high-dose-rate brachytherapy (HDRB) for the treatment of prostate cancer, since it provides similar biochemical control as other treatments while showing lowest long-term complications to the organs at risk (OAR). With the inclusion of anatomy-based inverse planning optimizers, HDRB has the advantage of potentially allowing dose escalation. Among the algorithms used, the Inverse Planning Simulated Annealing (IPSA) optimizer is widely employed since it provides adequate dose coverage, minimizing dose to the OAR, but it is known to generate large dwell times in particular positions of the catheter. As an alternative, the Hybrid Inverse treatment Planning Optimization (HIPO) algorithm was recently implemented in Oncentra Brachytherapy V. 4.3. The aim of this work was to compare, with the aid of radiobiological models, plans obtained with IPSA and HIPO to assess their use in our clinical practice. Thirty patients were calculated with IPSA and HIPO to achieve our department's clinical constraints. To evaluate their performance, dosimetric data were collected: Prostate PTV D-90(%), V-100(%), V-150(%), and V-200(%), Urethra D-10(%), Rectum D-2cc(%), and conformity indices. Additionally tumor control probability (TCP) and normal tissue complication probability (NTCP) were calculated with the BioSuite software. The HIPO optimization was performed firstly with Prostate PTV (HIPOPTV) and then with Urethra as priority 1 (HIPOurethra). Initial optimization constraints were then modified to see the effects on dosimetric parameters, TCPs, and NTCPs. HIPO optimizations could reduce TCPs up to 10%-20% for all PTVs lower than 74 cm(3). For the urethra, IPSA and HIPOurethra provided similar NTCPs for the majority of volume sizes, whereas HIPOPTV resulted in large NTCP values. These findings were in agreement with dosimetric values. By increasing the PTV maximum dose constraints for HIPOurethra plans, TCPs were found to be in agreement with IPSA without affecting the urethral NTCPs.
引用
收藏
页码:256 / 266
页数:11
相关论文
共 50 条
  • [41] Inverse planning optimization for hybrid prostate permanent-seed implant brachytherapy plans using two source strengths
    Cunha, J. Adam M.
    Pickett, Barby
    Pouliot, Jean
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2010, 11 (03): : 64 - 77
  • [42] Catheters and dose optimization using a modified CVT algorithm and multi-criteria optimization in prostate HDR brachytherapy
    Chatigny, Philippe Y.
    Belanger, Cedric
    Poulin, Eric
    Beaulieu, Luc
    MEDICAL PHYSICS, 2022, 49 (10) : 6575 - 6587
  • [43] Inverse automated treatment planning with and without individual optimization in interstitial permanent prostate brachytherapy with high- and low-activity 125I
    Pinkawa, M
    Maurer, U
    Mulhern, A
    Gagel, B
    Block, T
    Borchers, H
    Grieger, J
    Henkel, T
    Eble, M
    STRAHLENTHERAPIE UND ONKOLOGIE, 2003, 179 (06) : 417 - 422
  • [44] Favorable toxicity and biochemical control using real-time inverse optimization technique for prostate brachytherapy
    Raben, Adam
    Rusthoven, Kyle E.
    Sarkar, Abrihup
    Glick, Andrew
    Benge, Bruce
    Jacobs, Dayee
    Raben, David
    BRACHYTHERAPY, 2009, 8 (03) : 297 - 303
  • [45] Comparison of perioperative and subacute postoperative complications between LDR and HDR monotherapy brachytherapy for prostate cancer
    Lee, Peter L.
    Ruth, Karen
    Lee, Douglas Y.
    Hallman, Mark A.
    Chen, David Y. T.
    Wong, Jessica Karen
    Correa, Andres F.
    Veltchev, Iavor
    Lin, Teh
    Chen, Xiaoming
    Panetta, Joseph
    Kutikov, Alexander
    Horwitz, Eric M.
    BRACHYTHERAPY, 2024, 23 (05) : 559 - 568
  • [46] Robust Optimization of Dose-Volume Metrics for Prostate HDR-Brachytherapy Incorporating Target and OAR Volume Delineation Uncertainties
    Balvert, Marleen
    den Hertog, Dick
    Hoffmann, Aswin L.
    INFORMS JOURNAL ON COMPUTING, 2019, 31 (01) : 100 - 114
  • [47] Comparison between preoperative and real-time intraoperative planning 125I permanent prostate brachytherapy: long-term clinical biochemical outcome
    Matzkin, Haim
    Chen, Juza
    German, Larissa
    Mabjeesh, Nicola J.
    RADIATION ONCOLOGY, 2013, 8
  • [48] Prospective comparison of PSA kinetics following two different prostate cancer brachytherapy planning methods: Preoperative and real-time intraoperative dosimetry planning
    Matzkin, Haim
    Chen, Juza
    Stenger, Amira
    Agai, Rubi
    Mabjeesh, Nicola J.
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2012, 30 (04) : 379 - 385
  • [49] In vivo rectal wall measurements during HDR prostate brachytherapy with MOSkin dosimeters integrated on a trans-rectal US probe: Comparison with planned and reconstructed doses
    Carrara, Mauro
    Tenconi, Chiara
    Rossi, Giulio
    Borroni, Marta
    Cerrotta, Annamaria
    Grisotto, Simone
    Cusumano, Davide
    Pappalardi, Brigida
    Cutajar, Dean
    Petasecca, Marco
    Lerch, Michael
    Gambarini, Grazia
    Fallai, Carlo
    Rosenfeld, Anatoly
    Pignoli, Emanuele
    RADIOTHERAPY AND ONCOLOGY, 2016, 118 (01) : 148 - 153
  • [50] Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning
    Dinkla, Anna M.
    van der Laarse, Rob
    Koedooder, Kees
    Kok, H. Petra
    van Wieringen, Niek
    Pieters, Bradley R.
    Bel, Arjan
    MEDICAL PHYSICS, 2015, 42 (01) : 348 - 353