Aims And Objectives: This study aims to investigate the viability of using RapidPlan (RP) knowledge-based (KB) treatment plans to initiate the new prostate volumetric-modulated arc therapy (VMAT) plans.
Materials And Methods: The planning data for 120 prostate VMAT treatment plans were entered into the RP system's database. The database of previous VMAT plans was divided into four model groups for training in the RP system. The models were based on the numbers of 20, 60, and 120 prostate VMAT plans. The model of 120 plans used automated priority and manual priority for the optimization process. The models of 20 and 60 plans used only manual priority for optimization. Each model was validated on 15 cases of new prostate cancer patients by comparing RP model plans against manual clinical plans optimized according to the clinical dose constraints.
Results: The RP models can estimate the dose comparable target volume to the manual clinical plan, which evaluated values of Dmax, D95%, D98%, HI, and CI and showed comparable results. For the normal organ doses of the bladder, rectum, penile bulb, and femoral head, all RP models exhibited a comparable or better dose than the manual clinical plan, except for the RP models using the automated priority for the optimization process, which cannot control the rectum dose below the dose constraints.
Conclusions: The Varian RP KB planning can produce comparable doses or better doses with the clinical manual in a single optimization, although the RP model uses a minimum requirement of the planning number for the model training. The RP models can enhance the efficacy and quality of plans, which depend on the number of VMAT plans used in RP model training for prostate cancer.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847006 | PMC |
http://dx.doi.org/10.4103/jmp.jmp_138_21 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
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Al Door Technical Institute, Northern Technical University, Mosul, Iraq.
Prostate cancer is the most common type after the age of fifty. It affects males and affects the prostate gland, which protects the function of sperm by producing semen. The current study was designed to evaluate prostate cancer infection effects on some biomarkers such as irisin, Tumor necrosis factor-TNF-α, prostate acid phosphates -PAP, Glutathione-GSH, malondialdehyde-MDA, urea, and creatinine.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
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Departamento de Biología Molecular y Genómica y Departamento de Disciplinas Filosófico Metodológicas e Instrumentales. Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, México.
ABCG2 transporter protein is one of several markers of prostate cancer stem cells (PCSCs). Gene variants of ABCG2 could affect protein expression, function, or both. The aim of this study was to identify the genetic variability of the ABCG2 gene in Mexican patients with prostate cancer.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Medical Biology, Faculty of Medicine, Kutahya Health Sciences University, Kutahya, Turkey.
Chemotherapy is a potent tool against cancer, but drug resistance remains a major obstacle. To combat this, understanding the molecular mechanisms behind resistance in cancer cells and the protein expression changes driving these mechanisms is crucial. Targeting the Ubiquitin-Proteasome System (UPS) has proven effective in treating multiple myeloma and shows promise for solid tumours.
View Article and Find Full Text PDFEur Urol
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Eastern Health Clinical School, Monash University, Melbourne, Australia; Cancer Services, Eastern Health, Melbourne, Australia; Biomedicine Discovery Institute Cancer Program, Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Australia.
Eur Urol
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Unit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, IRCCS San Raffaele Scientific Institute, Milan, Italy; "Vita-Salute" San Raffaele University, Milan, Italy.
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