Publications by authors named "M Momennezhad"
Purpose: Clinical trials have yielded promising results for Lutetium Prostate Specific Membrane Antigen (Lu-PSMA) therapy in metastatic castration resistant prostate cancer (mCRPC) patients. However, the development of precise methods for internal dosimetry and accurate dose estimation has been considered ongoing research. This study aimed to calculate the absorbed dose to the critical organs and metastasis regions using GATE 9.
View Article and Find Full Text PDFEvaluating the dosimetric impact of deep-learning-based auto-segmentation in prostate cancer radiotherapy: Insights into real-world clinical implementation and inter-observer variability.
J Appl Clin Med Phys
December 2024
Article Synopsis
- The study assessed the effectiveness of deep-learning-based auto-contouring in delineating clinical target volumes (CTV) and organs at risk (OARs) for prostate cancer radiotherapy, comparing it to traditional manual methods.
- It involved analyzing 28 planning CT volumes with three contour types: original, auto-segmented, and expert-defined, examining dosimetric characteristics through various metrics like dose-volume histograms and homogeneity indices.
- Results showed automated contours had smaller geometric differences from manual contours than variations between different experts, and the automated process also significantly reduced contouring time while maintaining comparable dosimetric accuracy.
Introduction: No study has yet investigated the minimum amount of data required for deep learning-based liver contouring. Therefore, this study aimed to investigate the feasibility of automated liver contouring using limited data.
Methods: Radiotherapy planning Computed tomography (CT) images were subjected to various preprocessing methods, such as denoising and windowing.
Calculation of Organ Dose Distribution (in-field and Out-of-field) in Breast Cancer Radiotherapy on RANDO Phantom Using GEANT4 Application for Tomographic Emission (Gate) Monte Carlo Simulation.
J Med Signals Sens
July 2024
Introduction: Organ dose distribution calculation in radiotherapy and knowledge about its side effects in cancer etiology is the most concern for medical physicists. Calculation of organ dose distribution for breast cancer treatment plans with Monte Carlo (MC) simulation is the main goal of this study.
Materials And Methods: Elekta Precise linear accelerator (LINAC) photon mode was simulated and verified using the GEANT4 application for tomographic emission.
Article Synopsis
- Manual contouring of the prostate in CT imaging is difficult due to low tissue contrast and variability among observers, making automated methods advantageous.
- This study explored a hybrid CNN-ViT model for contouring multiple male pelvic organs in CT images, using data from 104 localized prostate cancer patients.
- The results showed that this combined approach significantly outperformed traditional methods, achieving high accuracy in identifying various organs, and suggests it could enhance radiotherapy planning for prostate cancer.