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Fiducial tracking fidelity in robotic prostate SBRT: a comparison of a 3-fraction boost following pelvic nodal irradiation and definitive 5-fraction treatment
Lischalk, Jonathan W; Santos, Vianca F; Vizcaino, Brianna; Murray, Andwele; Sanchez, Astrid; Mendez, Christopher; Carpenter, Todd; Kim, Joseph; Clancey, Owen; Niglio, Scot; Katz, Aaron; Corcoran, Anthony; Mahadevan, Anand; Haas, Jonathan A
PURPOSE/OBJECTIVE:Pelvic nodal irradiation is often used for high-risk prostate adenocarcinoma. A commonly used alternative to low dose rate (LDR) brachytherapy, a 3-fraction SBRT boost with fiducial tracking may allow for better coverage of extracapsular extension and macroscopic seminal vesicle invasion. This study evaluates the practical impact of prior pelvic nodal irradiation on fiducial tracking during a subsequent 3-fraction robotic stereotactic body radiation therapy (SBRT) boost for high-risk prostate cancer and compares these outcomes to a cohort of patients undergoing definitive 5-fraction SBRT. METHODS:In this institutional analysis, we prospectively collected fiducial tracking data for patients receiving a 3-fraction boost to the prostate and seminal vesicles after conventional nodal radiation. We also identified patients treated with 5-fraction SBRT with a low risk of nodal involvement. Monte Carlo estimates of the Fisher's Exact Test assessed fiducial tracking loss. Continuous variables within the 5- and 3-fraction cohorts were compared using the Mann-Whitney Test. Changes in fiducial tracking and their association with pre-treatment factors were analyzed through the Kruskal-Wallis test and Monte Carlo for tracking patterns, and Spearman Correlation Coefficient and Mann-Whitney Test for deviations in tracking over 5 fractions. RESULTS:A total of 405 patients were treated from April 2021 to September 2023 with: (1) 5-fraction SBRT (n = 309, 76%), and (2) 3-fraction boost after nodal irradiation (n = 96, 24%). There was no significant fiducial tracking loss over the three-fraction boost treatment regimen that proceeded nodal treatment (p = 0.63). However, there was a significant (p < 0.001) loss of fiducial tracking fidelity as demonstrated by progressive loss of one tracked fiducial over 5-fractions. There was significantly more volatility observed in the 5-fraction versus 3-fraction boost treatment (median volatility 2.4 vs. 0.0, p < 0.001). There were no significant associations between fiducial tracking, independently for 3- or 5-fractions, using either analysis method or volatility for ADT, time from fiducial placement to SBRT, CTV, and QOD vs. daily SBRT. CONCLUSIONS:Pelvic nodal treatment does not affect the quantity/quality of fiducial tracking in 3-fraction treatments. However, 5-fraction treatments showed a progressive loss and increased volatility in fiducial tracking over time. No pre-treatment factors significantly influenced fiducial tracking changes in either cohort, though ADT use trended towards increased volatility in the 5-fraction group. With a minimum of 4 fiducials placed for treatment, the loss/volatility of a single fiducial had no clinical impact on the tracking system.
PMCID:12487326
PMID: 41029748
ISSN: 1748-717x
CID: 5954182
Vaccination Rates and the Emergence of Viral Variants: An Evolutionary Strategies-Inspired Model [Meeting Abstract]
Witten, Matthew; Clancey, Owen
ISI:000859282000200
CID: 5750412
The Effect of Mask Usage on Viral Immune Escape Times: An Evolutionary Strategies-Inspired Model [Meeting Abstract]
Witten, Matthew; Clancey, Owen
ISI:000703866100285
CID: 5750422
Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning
Chapter by: Witten, Matthew; Clancey, Owen
in: 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings by
[S.l.] : Institute of Electrical and Electronics Engineers Inc., 2020
pp. ?-?
ISBN: 9781728169293
CID: 4648202
Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning
M. Witten, O. Clancey
ORIGINAL:0017422
CID: 5750552
Stereotactic Body Radiation Therapy for Early-Stage Breast Cancer Using a Robotic Linear Accelerator-Longer Term Results from a Multi-Institutional Trial [Meeting Abstract]
Haas, J. A.; Witten, M. R.; Cotrutz, C.; Blacksburg, S. R.; Clancey, O.; Sanchez, A.; Demircioglu, G.; Catell, D.; Vermeulen, S. S.
ISI:000582521500044
ISSN: 0360-3016
CID: 4686162
Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning
M. Witten, O. Clancey
ORIGINAL:0017421
CID: 5750542
Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning
M. Witten, O. Clancey
ORIGINAL:0017424
CID: 5750572
Evolutionary Optimization in Robotic Radiotherapy Treatment Planning: A Comparison of Clinical Results with L-BFGS Optimization [Meeting Abstract]
Witten, Matthew; Clancey, Owen
ISI:000451175500242
ISSN: n/a
CID: 4590022
Residual dose deviation differential histogram analysis using evolutionary-optimized transform parameters for dose distribution warping in patient-specific quality assurance in external beam radiation therapy
Witten, Matthew, Clancey, Owen
Patient-specific quality assurance in external beam radiation therapy is performed to ensure the safe and effective administration of ionizing radiation to patients. This individualized quality assurance process often involves the measurement of a planar radiation dose distribution obtained during irradiation of a surrogate phantom, in order to sample the actual delivered doses to the patient; this measured dose distribution is then compared with that calculated by the radiation therapy treatment planning software. The current work, a continuation of the authors' previous efforts, uses a covariance matrix adaption-evolutionary strategy approach to optimize transform parameters of an affine transformation which includes normalization, translation, dilation (or erosion), roll, pitch, and yaw, such that the application of the transformation warps the measured dose distribution to the planned dose distribution. The deviations, from unity, of the transformation parameters associated with translations and with scaling, and the deviations, from zero, of those associated with rotations, are a means of assessing possible errors in experimental setup, as well as possible errors in the dose calculation algorithm used in the treatment planning system. The optimization selects a Pareto-optimal set of eight transformation parameters that minimizes the difference, in the sense of the sum of least squares, between the doses at distinct points in the calculated and measured dose distributions. The method was tested using four distinct treatment plans, and the results indicate that it may prove useful in the clinic.
ORIGINAL:0017423
CID: 5750562