Purpose: To quantitatively characterize the interfraction variations and their dosimetric effects in radiotherapy for prostate cancer.
Methods And Materials: A total of 486 daily computed tomography (CT) sets acquired for 20 prostate cancer patients treated with daily CT-guided repositioning using a linear accelerator and CT-on-rail combination were analyzed. The prostate, rectum, and bladder, delineated on each daily CT data set, were compared with those from the planning CT scan. Several quantities, including Dice's coefficient and the maximal overlapping rate, were used to characterize the interfraction variations. The delivered dose was reconstructed by applying the original plan to the daily CT scan with consideration of proper repositioning.
Results: The mean prostate Dice's coefficient and maximal overlapping rate after bony registration was 69.7%±13.8% (standard deviation) and 85.6%±7.8% (standard deviation), respectively. The daily delivered dose distributions were generally inferior to the planned dose distribution for target coverage and/or normal structure sparing. For example, for approximately 5% of the treatment fractions, the prostate volume receiving 100% of the prescription dose decreased dramatically (15-20%) compared with its planned value. The magnitudes of the interfraction variations and their dosimetric effects indicated that, statistically, current standard repositioning using prostate alignment might be adequate for two-thirds of the fractions, but for the rest of the fractions, better on-line correction strategies, such as on-line replanning, are needed.
Conclusion: Different adaptive correction schemes for prostatic interfraction changes can be used according to the anatomic changes, as quantified by the organ displacement and deformation parameters. On-line replanning is needed for approximately one-third of the treatment fractions.
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http://dx.doi.org/10.1016/j.ijrobp.2010.05.008 | DOI Listing |
Phys Med Biol
January 2025
Department of Radiology Oncology, Emory University, Clifton Rd, Atlanta, Georgia, 30322-1007, UNITED STATES.
This study aims to develop a digital twin (DT) framework to achieve adaptive proton prostate stereotactic body radiation therapy (SBRT) with fast treatment plan selection and patient-specific clinical target volume (CTV) setup uncertainty. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes.
View Article and Find Full Text PDFJ Appl Clin Med Phys
December 2024
Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Background: Whole bladder irradiation is an organ preservation treatment approach for muscle-invasive bladder cancer (MIBC). Conventional planning margins, typically 15-20 mm, increase normal tissue toxicity and limit possible dose escalation.
Purpose: The study aimed to develop a patient-specific adaptive margin recipe for whole bladder irradiation to minimize the planning target volume (PTV) while preserving adequate dose coverage.
J Appl Clin Med Phys
December 2024
Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
Purpose: This study assesses a novel, automated dose accumulation process during MR-guided online adaptive radiotherapy (MRgART) for prostate cancer, focusing on inter-fractional anatomical changes and discrepancies between delivered and planned doses.
Methods: A retrospective analysis was conducted on seven prostate cancer patients treated with a five-fraction stereotactic body radiation therapy (SBRT), using a 0.35T MRIdian MR-LINAC system.
Clin Oncol (R Coll Radiol)
November 2024
Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Aims: Breath holding can reduce the cardiac dose in radiotherapy for left-sided breast cancer. We evaluated whether any of the existing commonly used breath-hold techniques was superior in maintaining a more reproducible mean heart dose (MHD) during treatment.
Materials And Methods: This was a single-institution, interventional, nonrandomised, three-armed prospective trial, comparing the reproducibility of MHD in breath-hold radiotherapy using voluntary deep inspiration breath hold (vDIBH), active breathing control (ABC), and surface-guided radiotherapy (SGRT).
Radiother Oncol
December 2024
Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands. Electronic address:
Background & Purpose: Deep learning (DL) based auto-segmentation has shown to be beneficial for online adaptive radiotherapy (OART). However, auto-segmentation of clinical target volumes (CTV) is complex, as clinical interpretations are crucial in their definition. The resulting variation between clinicians and institutes hampers the generalizability of DL networks.
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