Noninferiority Study of Automated Knowledge-Based Planning Versus Human-Driven Optimization Across Multiple Disease Sites

被引:52
作者
Cornell, Mariel [1 ]
Kaderka, Robert [1 ]
Hild, Sebastian J. [1 ]
Ray, Xenia J. [1 ]
Murphy, James D. [1 ]
Atwood, Todd F. [1 ]
Moore, Kevin L. [1 ]
机构
[1] Univ Calif San Diego, Dept Radiat Med & Appl Sci, La Jolla, CA 92093 USA
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2020年 / 106卷 / 02期
基金
美国医疗保健研究与质量局;
关键词
AT-RISK; VALIDATION; HEAD;
D O I
10.1016/j.ijrobp.2019.10.036
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To evaluate whether automated knowledge-based planning (KBP) (a) is noninferior to human-driven planning across multiple disease sites and (b) systematically affects dosimetric plan quality and variability. Methods and Materials: Clinical KBP automated planning routines were developed for prostate, prostatic fossa, hypofractionated lung, and head and neck. Clinical implementation consisted of independent generation of human-generated and KBP plans (145 cases across all sites), followed by blinded plan selection. Reviewing physicians were prompted to select a single plan; when plan equivalence was volunteered, this scored as KBP selection. Plan selection analysis used a noninferiority framework testing the hypothesis that KBP is not worse than human-driven planning (threshold: lower 95% confidence interval [CI] > 0.45 = noninferiority; > 0.5 = superiority). Target and organ-at-risk metrics were compared by dose differencing: Delta Dx = Dx, human-Dx, KBP (2-tailed paired t test, Bonferroni-corrected P < .05 significance threshold). To evaluate the aggregated effect of KBP on planning performance, we examined post-KBP dosimetric parameters against 183 plans generated just before KBP implementation (2-tailed unpaired t test, Bonferroni-corrected P < .05). Results: Across all disease sites, the KBP success rate (physician preferred + equivalent) was noninferior compared with human-driven planning (83 of 145 = 57.2%; range, 49.2%-65.3%) but did not cross the threshold for superiority. The KBP success rate in respective disease sites was superior with head and neck ([22 + 2]/36 = 66.7%; 95% CI, 51%-82%) and noninferior for lung stereotactic body radiation therapy ([21 + 2]/36 = 63.9%; 95% CI, 48%-80%) but did not meet noninferiority criteria with prostate ([16 + 3]/41 = 46.3%; 95% CI, 31%-62%) or prostatic fossa ([17 + 0]/32 = 53.1%; 95% CI, 36%-70%). Prostate, prostatic fossa, and head and neck showed significant differences in KBP-selected plans versus human-selected plans, with KBP generally exhibiting greater organ-at-risk sparing and human plans exhibiting better target homogeneity. Analysis of plan quality pre- and post-KBP showed some reductions in organ doses and quality metric variability in prostate and head and neck. Conclusions: Fully automated KBP was noninferior to human-driven plan optimization across multiple disease sites. Dosimetric analysis of treatment plans before and after KBP implementation showed a systematic shift to higher plan quality and lower variability with the introduction of KBP. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:430 / 439
页数:10
相关论文
共 24 条
[1]   Predicting dose-volume histograms for organs-at-risk in IMRT planning [J].
Appenzoller, Lindsey M. ;
Michalski, Jeff M. ;
Thorstad, Wade L. ;
Mutic, Sasa ;
Moore, Kevin L. .
MEDICAL PHYSICS, 2012, 39 (12) :7446-7461
[2]   Complexity metrics for IMRT and VMAT plans: a review of current literature and applications [J].
Chiavassa, Sophie ;
Bessieres, Igor ;
Edouard, Magali ;
Mathot, Michel ;
Moignier, Alexandra .
BRITISH JOURNAL OF RADIOLOGY, 2019, 92 (1102)
[3]   Knowledge-based planning for intensity-modulated radiation therapy: A review of data-driven approaches [J].
Ge, Yaorong ;
Wu, Q. Jackie .
MEDICAL PHYSICS, 2019, 46 (06) :2760-2775
[4]  
Hahn Seokyung, 2012, Korean J Pediatr, V55, P403, DOI 10.3345/kjp.2012.55.11.403
[5]  
Hilsenbeck SG, 1996, STAT MED, V15, P103, DOI 10.1002/(SICI)1097-0258(19960115)15:1<103::AID-SIM156>3.3.CO
[6]  
2-P
[7]   Automated Closed- and Open-Loop Validation of Knowledge-Based Planning Routines Across Multiple Disease Sites [J].
Kaderka, Robert ;
Mundt, Robert C. ;
Li, Nan ;
Ziemer, Benjamin ;
Bry, Victoria N. ;
Cornell, Mariel ;
Moore, Kevin L. .
PRACTICAL RADIATION ONCOLOGY, 2019, 9 (04) :257-265
[8]   RADIATION DOSE-VOLUME EFFECTS IN THE SPINAL CORD [J].
Kirkpatrick, John P. ;
van der Kogel, Albert J. ;
Schultheiss, Timothy E. .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 76 (03) :S42-S49
[9]   Highly Efficient Training, Refinement, and Validation of a Knowledge-based Planning Quality-Control System for Radiation Therapy Clinical Trials [J].
Li, Nan ;
Carmona, Ruben ;
Sirak, Igor ;
Kasaova, Linda ;
Followill, David ;
Michalski, Jeff ;
Bosch, Walter ;
Straube, William ;
Mell, Loren K. ;
Moore, Kevin L. .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 97 (01) :164-172
[10]   Understanding the null hypothesis (H0) in non-inferiority trials [J].
Mallat, Jihad .
CRITICAL CARE, 2017, 21