Purpose: The aim of this study was to account for interfractional clinical target volume (CTV) shape variation and apply this to the planning target volume (PTV) margin for prostate cancer radiation treatment plans.
Methods: Interfractional CTV shape variations were estimated from weekly cone-beam computed tomography (CBCT) images using statistical point distribution models. The interfractional CTV shape variation was taken into account in the van Herk's margin formula. The PTV margins without and with the CTV shape variation, i.e., standard (PTV) and new (PTV) margins, were applied to 10 clinical cases that had weekly CBCT images acquired during their treatment sessions. Each patient was replanned for low-, intermediate-, and high-risk CTVs, using both margins. The dose indices (D98 and V70) of treatment plans with the two margins were compared on weekly pseudo-planning computed tomography (PCT) images, which were defined as PCT images registered using a deformable image registration technique with weekly CBCT images, including contours of the CTV, rectum, and bladder.
Results: The percentage of treatment fractions of patients who received CTV D98 greater than 95% of a prescribed dose increased from 80.3 (PTV) to 81.8% (PTV) for low-risk CTVs, 78.8 (PTV) to 87.9% (PTV) for intermediate-risk CTVs, and 80.3 (PTV) to 87.9% (PTV) for high-risk CTVs. In most cases, the dose indices of the rectum and bladder were acceptable in clinical practice.
Conclusion: The results of this study suggest that interfractional CTV shape variations should be taken into account when determining PTV margins to increase CTV coverages.
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http://dx.doi.org/10.1016/j.ejmp.2018.09.008 | DOI Listing |
Comput Methods Programs Biomed
December 2024
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China.
Background And Objective: Deep vein thrombosis (DVT) of the lower limbs is a critical global vascular disease. Accurately assessing and predicting the efficacy of DVT treatment remains a significant challenge due to a lack of understanding of the mechanisms by which the level of patient-specific embolization and the rate of drug injection affect thrombolytic therapy.
Methods: In this study, we used the computed tomographic venography (CTV) clinical method to obtain patient-specific parameters, and the flow-solid interaction (FSI) method combined with biochemical response modeling of thrombolysis to analyze patient-specific hemodynamic and biomechanical characteristics and to quantitatively assess the effects of three vessel embolism levels (VEL) versus two drug injection rates (DIR) on bifurcated femoral venous thrombolytic therapy.
Radiat Oncol
December 2024
Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Purpose: The purpose of this study was to quantify the intra- and interfraction motion of the target volume and organs at risk (OARs) during adaptive radiotherapy (ART) for uterine cervical cancer (UCC) using MR-Linac and to identify appropriate UCC target volume margins for adapt-to-shape (ATS) and adapt-to-position (ATP) workflows. Then, the dosimetric differences caused by motion were analyzed.
Methods: Thirty-two UCC patients were included.
Microb Genom
December 2024
March of Dimes European Prematurity Research Centre, Imperial College London, London, UK.
Phys Med Biol
November 2024
Department of BioMechanical Engineering, Delft University of Technology, Delft, The Netherlands.
Patient-tailored intracavitary/interstitial (IC/IS) brachytherapy (BT) applicators may increase dose conformity in cervical cancer patients. Current configuration planning methods in these custom applicators rely on manual specification or a small set of (straight) needles. This work introduces and validates a two-stage approach for establishing channel configurations in the 3D printed patient-tailored ARCHITECT applicator.
View Article and Find Full Text PDFRadiat Oncol
September 2024
Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, 210009, China.
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