Predictive power of PTV volume for choosing manual or automatic planning in lung stereotactic body radiotherapy

被引:0
作者
Duan, Yanhua [1 ,2 ]
Feng, Aihui [1 ,2 ]
Liu, Ning [3 ,4 ]
Shao, Yan [2 ]
Kong, Qing [1 ]
Zhou, Tao [3 ,4 ]
Xu, Zhiyong [2 ]
机构
[1] Fudan Univ, Inst Modern Phys, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Shanghai Chest Hosp, Dept Radiat Oncol, Shanghai, Peoples R China
[3] Univ Sci & Technol China, Affiliated Hosp USTC 1, Dept Radiotherapy, Div Life Sci & Med, Hefei, Anhui, Peoples R China
[4] Anhui Prov Canc Hosp, Dept Radiotherapy, Hefei, Anhui, Peoples R China
关键词
Lung cancer; SBRT; PTV volume; Automatic plan; Manual plan; Cut-off point; RADIATION-THERAPY; CANCER; SBRT;
D O I
10.1016/j.jrras.2024.100973
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose: This study investigated the role of Planning Target Volume (PTV) in determining the suitability of manual and automatic Stereotactic Body Radiation Therapy (SBRT) planning for lung cancer patients. Methods: We retrospectively created manual and automatic lung SBRT plans for ninety-eight patients using the Pinnacle 16.2 Treatment Planning System (TPS). The superior plan, whether manual or automatic, was selected for each patient through a combined index. Receiver Operating Characteristic (ROC) analysis was used to assess the predictive potential of the PTV volume in determining the superior plan and to establish a cutoff value. Patients were then stratified into two groups based on this value, and dosimetric variances were evaluated. Results: The ROC analysis highlighted the PTV volume's proficiency in predicting the superior choice between manual and automatic lung SBRT plans (Area Under Curve (AUC): 0.918, p = 0.005). The delineated cutoff value was set at 22.675 cc. For PTV volumes below this threshold, automatic plans surpassed manual plans in the Conformity Index (CI), Gradient Index (GI), and lung doses. Conversely, for PTV volumes exceeding 22.675 cc, manual plans exhibited improved results in the Heterogeneity Index (HI), GI, and dosimetric metric of heart and lung. Conclusion: The PTV volume is a significant determinant in guiding the optimal selection between manual and automatic lung SBRT plans with the Pinnacle TPS. Automatic plans are recommended for patients with PTV volumes below 22.675 cc, and manual plans for those above this threshold.
引用
收藏
页数:7
相关论文
共 27 条
  • [1] Bezjak A., 2009, Update
  • [2] Stereotactic Ablative Radiation Therapy is Highly Safe and Effective for Elderly Patients With Early-stage Non-Small Cell Lung Cancer
    Brooks, Eric D.
    Sun, Bing
    Zhao, Lina
    Komaki, Ritsuko
    Liao, Zhonxing
    Jeter, Melenda
    Welsh, James W.
    O'Reilly, Michael S.
    Gomez, Daniel R.
    Hahn, Stephen M.
    Heymach, John V.
    Rice, David C.
    Chang, Joe Y.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 98 (04): : 900 - 907
  • [3] Dosimetric comparisons of different hypofractionated stereotactic radiotherapy techniques in treating intracranial tumors > 3 cm in longest diameter
    Cao, Hongbin
    Xiao, Zhiyan
    Zhang, Yin
    Kwong, Tiffany
    Danish, Shabbar F.
    Weiner, Joseph
    Wang, Xiao
    Yue, Ning
    Dai, Zhitao
    Kuang, Yu
    Bai, Yongrui
    Nie, Ke
    [J]. JOURNAL OF NEUROSURGERY, 2020, 132 (04) : 1024 - 1032
  • [4] Stereotactic ablative radiotherapy versus lobectomy for operable stage I non-small-cell lung cancer: a pooled analysis of two randomised trials
    Chang, Joe Y.
    Senan, Suresh
    Paul, Marinus A.
    Mehran, Reza J.
    Louie, Alexander V.
    Balter, Peter
    Groen, Harry J. M.
    McRae, Stephen E.
    Widder, Joachim
    Feng, Lei
    van den Borne, Ben E. E. M.
    Munsell, Mark F.
    Hurkmans, Coen
    Berry, Donald A.
    van Werkhoven, Erik
    Kresl, John J.
    Dingemans, Anne-Marie
    Dawood, Omar
    Haasbeek, Cornelis J. A.
    Carpenter, Larry S.
    De Jaeger, Katrien
    Komaki, Ritsuko
    Slotman, Ben J.
    Smit, Egbert F.
    Roth, Jack A.
    [J]. LANCET ONCOLOGY, 2015, 16 (06) : 630 - 637
  • [5] Template-based automation of treatment planning in advanced radiotherapy: a comprehensive dosimetric and clinical evaluation
    Cilla, Savino
    Ianiro, Anna
    Romano, Carmela
    Deodato, Francesco
    Macchia, Gabriella
    Buwenge, Milly
    Dinapoli, Nicola
    Boldrini, Luca
    Morganti, Alessio G.
    Valentini, Vincenzo
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [6] Evaluation of IGRT-Induced Imaging Doses and Secondary Cancer Risk for SBRT Early Lung Cancer Patients In Silico Study
    Duan, Yan-Hua
    Gu, Heng-Le
    Yang, Xiao-Hui
    Chen, Hua
    Wang, Hao
    Shao, Yan
    Li, Xiao-Yang
    Feng, Ai-Hui
    Ying, Yan-Chen
    Fu, Xiao-Long
    Ma, Kui
    Zhou, Tao
    Xu, Zhi-Yong
    [J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2021, 20
  • [7] A novel CRT-IMRT-combined (Co-CRIM) planning technique for peripheral lung stereotactic body radiotherapy in pinnacle treatment planning system
    Duan, Yanhua
    Zhou, Lijun
    Wang, Hao
    Chen, Hua
    Gu, Hengle
    Shao, Yan
    Feng, Aihui
    Huang, Ying
    Fu, Xiaolong
    Yue, Ning Jeff
    Ma, Kui
    Kong, Qing
    Xu, Zhiyong
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2021, 22 (12): : 97 - 107
  • [8] Dosimetric Comparison, Treatment Efficiency Estimation, and Biological Evaluation of Popular Stereotactic Radiosurgery Options in Treating Single Small Brain Metastasis
    Duan, Yanhua
    Cao, Hongbin
    Wu, Boheng
    Wu, Yinghui
    Liu, Dong
    Zhou, Lijun
    Feng, Aihui
    Wang, Hao
    Chen, Hua
    Gu, Hengle
    Shao, Yan
    Huang, Ying
    Lin, Yang
    Ma, Kui
    Fu, Xiaolong
    Fu, Hong
    Kong, Qing
    Xu, Zhiyong
    [J]. FRONTIERS IN ONCOLOGY, 2021, 11
  • [9] On the optimal number of dose-limiting shells in the SBRT auto-planning design for peripheral lung cancer
    Duan, Yanhua
    Gan, Wutian
    Wang, Hao
    Chen, Hua
    Gu, Hengle
    Shao, Yan
    Feng, Aihui
    Ying, Yanchen
    Fu, Xiaolong
    Zhang, Chenchen
    Xu, Zhiyong
    Jeff Yue, Ning
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2020, 21 (09): : 134 - 142
  • [10] Estimation of the Youden index and its associated cutoff point
    Fluss, R
    Faraggi, D
    Reiser, B
    [J]. BIOMETRICAL JOURNAL, 2005, 47 (04) : 458 - 472