First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients

Purpose: Ultrahypofractionation presents challenges for a subset of high-risk prostate cancer patients due to the large planning target volume (PTV) margin required for the seminal vesicles. Online adaptive radiation therapy could potentially reduce this margin. This paper focuses on the development...

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Main Authors: Victor J. Brand, MD, Maaike T.W. Milder, PhD, Miranda E.M.C. Christianen, MD, PhD, Kim C. de Vries, MD, Mischa S. Hoogeman, PhD, Luca Incrocci, MD, PhD, Femke E. Froklage, MD, PhD
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109424002641
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author Victor J. Brand, MD
Maaike T.W. Milder, PhD
Miranda E.M.C. Christianen, MD, PhD
Kim C. de Vries, MD
Mischa S. Hoogeman, PhD
Luca Incrocci, MD, PhD
Femke E. Froklage, MD, PhD
author_facet Victor J. Brand, MD
Maaike T.W. Milder, PhD
Miranda E.M.C. Christianen, MD, PhD
Kim C. de Vries, MD
Mischa S. Hoogeman, PhD
Luca Incrocci, MD, PhD
Femke E. Froklage, MD, PhD
author_sort Victor J. Brand, MD
collection DOAJ
description Purpose: Ultrahypofractionation presents challenges for a subset of high-risk prostate cancer patients due to the large planning target volume (PTV) margin required for the seminal vesicles. Online adaptive radiation therapy could potentially reduce this margin. This paper focuses on the development, preclinical validation, and clinical testing of online adaptive robotic stereotactic body radiation therapy for this patient group. Methods and Materials: An online adaptive workflow was developed for the CyberKnife with integrated in-room CT-on-rails. Preclinical validation involved comparing deep learning–based auto-contouring with deformable or rigid contour propagation in terms of subsequent editing time. A fast treatment planning method was implemented and compared with the conventional method in terms of optimization time and adherence to planning constraints. Clinical testing was conducted in the first study patients of the UPRATE trial, which investigates the feasibility of seminal vesicle PTV margin reduction in low-volume metastasized prostate cancer patients. Treatment time and patient experience were recorded. Results: Rigid registration for prostate and deep-learning auto-contouring for seminal vesicles and organs at risk were selected based on editing time and robustness for anatomic changes. The fast treatment planning method reduced the optimization time from 10 to 3.5 minutes (P = .005). No significant differences in dose parameters were observed compared with the conventional plans. During clinical testing, 53 of 60 fast treatment plans adhered to the planning constraints, and all 60 were clinically accepted and delivered. The average total treatment time was 67.7 minutes, showing a downward trend. The treatment was well-experienced overall. Conclusions: Online adaptive stereotactic body radiation therapy using CyberKnife with integrated CT-on-rails is clinically feasible for prostate cancer patients with seminal vesicles included in the target volume. The UPRATE trial outcome will reveal the extent to which online adaptation can reduce the PTV margin of the seminal vesicles.
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spelling doaj-art-4996b58c02924637bf5d43c781975c192025-01-08T04:53:14ZengElsevierAdvances in Radiation Oncology2452-10942025-02-01102101701First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer PatientsVictor J. Brand, MD0Maaike T.W. Milder, PhD1Miranda E.M.C. Christianen, MD, PhD2Kim C. de Vries, MD3Mischa S. Hoogeman, PhD4Luca Incrocci, MD, PhD5Femke E. Froklage, MD, PhD6Corresponding author: Victor J. Brand, MD; Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the NetherlandsPurpose: Ultrahypofractionation presents challenges for a subset of high-risk prostate cancer patients due to the large planning target volume (PTV) margin required for the seminal vesicles. Online adaptive radiation therapy could potentially reduce this margin. This paper focuses on the development, preclinical validation, and clinical testing of online adaptive robotic stereotactic body radiation therapy for this patient group. Methods and Materials: An online adaptive workflow was developed for the CyberKnife with integrated in-room CT-on-rails. Preclinical validation involved comparing deep learning–based auto-contouring with deformable or rigid contour propagation in terms of subsequent editing time. A fast treatment planning method was implemented and compared with the conventional method in terms of optimization time and adherence to planning constraints. Clinical testing was conducted in the first study patients of the UPRATE trial, which investigates the feasibility of seminal vesicle PTV margin reduction in low-volume metastasized prostate cancer patients. Treatment time and patient experience were recorded. Results: Rigid registration for prostate and deep-learning auto-contouring for seminal vesicles and organs at risk were selected based on editing time and robustness for anatomic changes. The fast treatment planning method reduced the optimization time from 10 to 3.5 minutes (P = .005). No significant differences in dose parameters were observed compared with the conventional plans. During clinical testing, 53 of 60 fast treatment plans adhered to the planning constraints, and all 60 were clinically accepted and delivered. The average total treatment time was 67.7 minutes, showing a downward trend. The treatment was well-experienced overall. Conclusions: Online adaptive stereotactic body radiation therapy using CyberKnife with integrated CT-on-rails is clinically feasible for prostate cancer patients with seminal vesicles included in the target volume. The UPRATE trial outcome will reveal the extent to which online adaptation can reduce the PTV margin of the seminal vesicles.http://www.sciencedirect.com/science/article/pii/S2452109424002641
spellingShingle Victor J. Brand, MD
Maaike T.W. Milder, PhD
Miranda E.M.C. Christianen, MD, PhD
Kim C. de Vries, MD
Mischa S. Hoogeman, PhD
Luca Incrocci, MD, PhD
Femke E. Froklage, MD, PhD
First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
Advances in Radiation Oncology
title First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
title_full First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
title_fullStr First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
title_full_unstemmed First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
title_short First-in-Men Online Adaptive Robotic Stereotactic Body Radiation Therapy: Toward Ultrahypofractionation for High-Risk Prostate Cancer Patients
title_sort first in men online adaptive robotic stereotactic body radiation therapy toward ultrahypofractionation for high risk prostate cancer patients
url http://www.sciencedirect.com/science/article/pii/S2452109424002641
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