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Relative biological effectiveness (RBE) is a key quantity for the description of radiobiological effects induced by charged-particle irradiation in the context of ion-beam cancer therapy. Since RBE is a complex function that depends on…

Medical Physics · Physics 2021-07-09 Alexey Verkhovtsev , Eugene Surdutovich , Andrey V. Solov'yov

Proton minibeam (pMB) radiotherapy, delivers highly heterogeneous dose distributions alternating high-dose peaks and low-dose valleys. This aims to widen the therapeutic window by improving normal tissue sparing while maintaining the same…

Mandible Osteoradionecrosis (ORN) is one of the most severe adverse events (AEs) for head and neck (H&N) cancer radiotherapy. Previous retrospective investigations on real-world data relied on conventional statistical models that primarily…

Improving effective treatment plans in carbon ion therapy, especially for targeting radioresistant tumors located in deep seated regions while sparing normal tissues, depends on a precise and computationally efficient dose calculation…

Medical Physics · Physics 2025-06-25 Fulya Halıcılar , Metin Arık

Purpose: Variations in proton Relative Biological Effectiveness (RBE) with Linear Energy Transfer (LET) remain one of the largest sources of uncertainty in proton radiotherapy. This work seeks to identify physics-based metrics which can be…

Medical Physics · Physics 2018-12-05 Stephen J McMahon , Harald Paganetti , Kevin M Prise

Monte Carlo (MC) techniques are currently deemed the gold standard for internal dosimetry, since the simulations can perform full radiation transport and reach a precision level not attainable by analytical methods. In this study, a custom…

Medical Physics · Physics 2023-06-07 Cristiana Rodrigues , Luis Peralta , Paulo Ferreira

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Prescription…

Different qualities of radiation are known to cause different biological effects at the same absorbed dose. Enhancements of the biological effectiveness are a direct consequence of the energy deposition clustering at the scales of DNA…

Medical Physics · Physics 2021-08-03 V. E. Bellinzona , F. Cordoni , M. Missiaggia , F. Tommasino , E. Scifoni , C. La Tessa , A. Attili

A Geant4-based Monte Carlo model for Heavy-Ion Therapy (MCHIT) is used to study radiation fields of H-1, He-4, Li-7 and C-12 beams with similar ranges (~160-180 mm) in water. Microdosimetry spectra are simulated for wall-less and walled…

Medical Physics · Physics 2014-02-10 Lucas Burigo , Igor Pshenichnov , Igor Mishustin , Marcus Bleicher

Purpose: Recent investigations of radiation-induced contrast enhancements (RICE) in brain tumor patients after proton therapy indicated variability in proton relative biological effectiveness (RBE) and increased radiosensitivity of the…

Microdosimetry provides a superior characterization of the radiation field compared to conventional LET-based methodology, and for this reason it has become increasingly attractive for quality assurance in particle therapy. However, the…

Medical Physics · Physics 2025-04-08 E. Pierobon , M. Missiaggia , F. G. Cordoni , C. La Tessa

Relative biological effectiveness (RBE) plays an important role in designing a uniform dose response for ion beam therapy. In this study the biological effectiveness of a carbon ion beam delivery system was investigated using Monte Carlo…

Medical Physics · Physics 2016-10-12 Ilsung Cho , Seung Hoon Yoo , Sungho Cho , Eun Ho Kim , Yongkeun Song , Jae-ik Shin , Won-Gyun Jung

The MIRS software for the modeling of ro-vibrational spectra of polyatomic molecules was considerably extended and improved. The original version (Nikitin, et al. JQSRT, 2003, pp. 239--249) was especially designed for separate or…

Atmospheric and Oceanic Physics · Physics 2012-05-15 Andrei Nikitin , Michaël Rey , Jean Paul Champion , Vladimir Tyuterev

A work recently published experimentally demonstrates an increase in the radiobiological efficacy of clinical proton beams when a tumour is treated in the presence of a concentration of 11B. The paper, for the first time, demonstrates the…

We present an integrated modeling framework that combines the Generalized Stochastic Microdosimetric Model (GSM2), used to predict cell survival fractions, with MINAS-TIRITH, a fast and efficient Geant4 DNA-based tool for simulating…

Recent studies on neural architecture search have shown that automatically designed neural networks perform as good as expert-crafted architectures. While most existing works aim at finding architectures that optimize the prediction…

Magnetomotive ultrasound (MMUS) using magnetic nanoparticle contrast agents has shown promise for thrombosis imaging and quantitative elastometry via magnetomotive resonant acoustic spectroscopy (MRAS). Young's modulus measurements of…

To expedite the commissioning process of the proton therapy system at Samsung Medical Center (SMC), we have developed a Monte Carlo simulation model of the proton therapy nozzles using TOPAS. At SMC proton therapy center, we have two gantry…

Medical Physics · Physics 2015-06-01 Kwangzoo Chung , Jinsung Kim , Dae-Hyun Kim , Sunghwan Ahn , Youngyih Han

This study investigates the applicability of 3D dose predictions from a model trained on one modality to a cross-modality automated planning workflow. Additionally, we explore the impact of integrating a multi-criteria optimizer on adapting…

Medical Physics · Physics 2024-02-26 Gregory Szalkowski , Xuanang Xu , Shiva Das , Pew-Thian Yap , Jun Lian

Breast Magnetic Resonance Imaging (MRI) demonstrates the highest sensitivity for breast cancer detection among imaging modalities and is standard practice for high-risk women. Interpreting the multi-sequence MRI is time-consuming and prone…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Luyang Luo , Mingxiang Wu , Mei Li , Yi Xin , Qiong Wang , Varut Vardhanabhuti , Winnie CW Chu , Zhenhui Li , Juan Zhou , Pranav Rajpurkar , Hao Chen
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