A5009593132- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Management of metastatic bone disease
- Medical Imaging and Analysis
- Bone health and treatments
- Head and Neck Cancer Studies
- Brain Metastases and Treatment
- Spinal Fractures and Fixation Techniques
- Radiation Detection and Scintillator Technologies
- Nonmelanoma Skin Cancer Studies
- Lung Cancer Treatments and Mutations
- Liver Disease Diagnosis and Treatment
- Cancer Diagnosis and Treatment
- thermodynamics and calorimetric analyses
- MRI in cancer diagnosis
- Radiopharmaceutical Chemistry and Applications
Kansai Medical University
2020-2025
Osaka University
2014-2017
University Medical Center Groningen
2015
University of Groningen
2015
Juntendo University Urayasu Hospital
2015
Takarazuka City Hospital
2015
The effect of modern molecular-targeted agents (MTAs), on vertebral metastases in non-small cell lung cancer (NSCLC) remains inadequately characterized. We investigated the local control effects MTAs patients with NSCLC. retrospectively analyzed 307 85 NSCLC, treated between 2019 and 2021. Patients were categorized based prior systemic therapy exposure (19 vs. 66 without) type first-line administered (32 MTA 34 non-MTAs). Multivariate analyses performed for progression-free period (vPFP)...
The Task Group 218 (TG-218) report was published by the American Association of Physicists in Medicine 2018, recommending appropriate use gamma index analysis for patient-specific quality assurance (PSQA). paper demonstrates that PSQA radiotherapy Japan appropriately applies considering TG-218.This survey estimated acceptance state radiotherapeutic institutes or facilities guideline using a web-based questionnaire. To investigate an facility-specific conditions, we researched optimal...
Diffusion equation imaging processing is promising to enhance images showing lesions of bone metastasis (LBM). The Perona-Malik diffusion (PMD) model, which has been widely used and studied, an anisotropic method denoise or extract objects from image effectively. However, the smoothing characteristics PMD its related hinder extraction enhancement soft tissue regions medical such as computed tomography (CT), typically leaving indistinct region with ambient tissues. Moreover, expands border...
Purpose: CyberKnife® robotic surgery system has the ability to deliver radiation a tumor subject respiratory movements using Synchrony® mode with less than 2 mm tracking accuracy. However, rapid and rough motion causes mechanical errors puts stress on joint, leading unexpected delivery errors. During clinical treatment, patient motions are much more complicated, suggesting need for patient‐specific modeling of motion. The purpose this study was propose novel method that provides reference...
This study evaluated a method for prostate intensity-modulated radiation therapy (IMRT) based on edge-enhanced (EE) intensity in the presence of intrafraction organ deformation using data 37 patients treated with step-and-shoot IMRT. On assumption that patient setup error was already accounted by image guidance, only over treatment course considered. Once clinical target volume (CTV), rectum, and bladder were delineated assigned dose constraints optimization, each voxel CTV derived from...
Purpose: During radiotherapy, maintaining the patient in a relaxed and comfortable state helps ensure respiratory regularity reproducibility, thereby supports accurate tracking/gating treatment. Criteria to evaluate naturalness, regularity, phase robustness are therefore needed aid for treatment system numerically medical observers visually. This study introduces new concept of tumor kinematics that describes trajectory motion with respiration, leading minimum jerk theory. Using this theory,...
Delivering cancer treatment to elderly patients with dementia is often challenging. We describe performing palliative surface mold brachytherapy (SMBT) in an patient advanced for pain control using music therapy assist agitation.
While dual-energy computed tomography (DECT) technology introduces energy-specific information in clinical practice, single-energy CT (SECT) is predominantly used, limiting the number of people who can benefit from DECT. This study proposed a novel method to generate synthetic low-energy virtual monochromatic images at 50 keV (sVMI50keV) SECT using transformer-based deep learning model, SwinUNETR. Data were obtained 85 patients underwent head and neck radiotherapy. Among these, model was...
In radiotherapy, the dose-volume histogram (DVH) curve is an important means of evaluating clinical feasibility tumor control and side effects in normal organs against actual treatment. Fractionation, distributing amounts irradiation, used to enhance treatment effectiveness mitigation tissue damage. Therefore, dose volume receive time-varying per fractional event. However, difficulty DVH superimposition different situations prevents evaluation total despite shapes receiving distributions...
Cone-beam computed tomography (CBCT) is widely utilized in image-guided radiation therapy; however, its image quality poor compared to planning CT (pCT), thus restricting utility for adaptive radiotherapy (ART). Our objective was enhance CBCT utilizing a transformer-based deep learning model, SwinUNETR, which we with conventional convolutional neural network (CNN) U-net. This retrospective study involved 260 patients undergoing prostate radiotherapy, 245 used training and 15 reserved as an...
Technical developments in radiotherapy (RT) have created a need for systematic quality assurance (QA) to ensure that clinical institutions deliver prescribed radiation doses consistent with the requirements of protocols. For QA, an ideal dose verification system should be independent treatment-planning (TPS). This paper describes development and reproducibility evaluation Monte Carlo (MC)-based standard LINAC model as preliminary requirement distributions. The BEAMnrc MC code is used...
Objective.A large optimization volume for intensity-modulated radiation therapy (IMRT), such as the remaining at risk (RVR), is traditionally unsuitable dose-volume constraint control and requires planner-specific empirical considerations owing to patient-specific shape. To enable less optimization, generalized equivalent uniform dose (gEUD) effective; however, utilization of parametera-values remains elusive. Our study clarifies thea-value characteristics effectivea-value use.Approach.The...
Objective. The gamma index (γ) has been extensively investigated in the medical physics and applied clinical practice. However,γhas a significant limitation when used to evaluate dose-gradient region, leading inconveniences, particularly stereotactic radiotherapy (SRT). This study proposes novel evaluation method combined withγto extract clinically problematic regions caused by irradiation including certain errors.Approach. A flow-vector field dose distribution is obtained considered scalar...
Abstract Whole dose distribution results from well-conceived treatment plans including patient-specific (location, size and shape of tumor, etc.) facility-specific (clinical policy goal, equipment, information. To evaluate the whole efficiently effectively, we propose a method to apply spherical projection real harmonics (SH) expansion, thus leading expanded coefficients as rank-2 tensor, SH coefficient for every distribution. verify feature this introduce Isomap manifold learning...
Purpose: To determine which proton planning technique on average‐CT is more vulnerable to respiratory motion induced density changes and interplay effect among (a) IMPT of CTV‐based minimax robust optimization with 5mm set‐up error considered, (b, c) IMPT/SFUD 5mm‐expanded PTV optimization. Methods: Three techniques were optimized in Raystation a prescription 60/25 (Gy/fractions) almost the same OAR constraints/objectives for each 10 NSCLC patients. 4D dose without/with was recalculated...
Abstract This document was written as the addendum of our published work, “ Effective optimization strategy for large volume object, remaining at risk (RVR): α-value selection and usage from generalized equivalent uniform dose (gEUD) curve deviation perspective ” (10.1088/1361-6560/acb989). The gEUD is represented by a mathematical form weighted general mean, this widely accepted radiobiological in clinical practice. To make more smooth use understanding distribution, we focused on -value...