Daisuke Kawahara 研究室

主宰者：Daisuke Kawahara

広島大学

AI 要約（直近 5 年の研究成果）

川原大輔研究室は、放射線治療における線量評価と治療計画の最適化を中心に研究を進めています。具体的には、腫瘍や臓器への放射線照射時に生じる呼吸運動などの生理的変動に対応した治療計画の立案、照射中断が生じた場合の生物学的効果の評価、および様々な処方方法における物理的・生物学的な線量マージンの算出などを行っています。これらの研究では、仮想4次元CT画像の生成、微視的線量評価モデルを用いた計算、ならびに臨床データの解析といった多角的なアプローチが採用されています。同時に、医療画像の機械学習的な解析にも注力しており、放射線治療計画の品質管理や患者予後の予測に向けた研究を展開しています。具体的には、CT画像やMRI画像から抽出した画像特性量（ラジオミクス）を用いて、肺がんや食道がんなどの患者における生存率や放射線肺臓炎などの合併症の発症リスクを機械学習モデルにより予測しています。また、深層学習を用いた自動領域抽出や線量分布の品質評価なども開発しており、放射線治療をより安全で効果的にするための包括的な取り組みを行っています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（62 件）

[2026] Margin reduction and optimal prescription isodose model for liver stereotactic radiotherapy with respiratory motion
DOI: https://doi.org/10.1002/acm2.70455
[2025] Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model
DOI: https://doi.org/10.18653/v1/2025.naacl-demo.38
[2025] A multi-institutional dummy run on segmentation variability and plan quality of stereotactic body radiotherapy for oligometastatic disease
DOI: https://doi.org/10.1016/j.phro.2025.100857
[2025] Elucidating the biological function of computed tomography (CT)-based radiomics biomarkers in serous ovarian cancer
DOI: https://doi.org/10.1016/j.crad.2025.106952
[2025] Integrating radiomics and gene expression by mapping on the image with improved DeepInsight for clear cell renal cell carcinoma
DOI: https://doi.org/10.1016/j.cancergen.2025.02.004
[2025] A nomogram-based survival prediction model for non–small cell lung cancer patients based on clinical risk factors and multiregion radiomics features
DOI: https://doi.org/10.1016/j.crad.2025.106826
[2025] The 30th Anniversary Initiatives of the Association for Natural Language Processing
DOI: https://doi.org/10.5715/jnlp.32.330
[2025] Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation
DOI: https://doi.org/10.18653/v1/2025.naacl-srw.15
[2025] Prediction of radiation pneumonitis after CRT in patients with advanced NSCLC using multi‐region radiomics and attention‐based ensemble learning
DOI: https://doi.org/10.1002/mp.70140
[2025] Radiomics-based decision support tool with ground-glass opacity status of 5-year survival prediction for early-stage non-small cell lung cancer
DOI: https://doi.org/10.5603/rpor.107744

続きを表示（残り 52 件）

[2024] Improved dose compensation model owing to short irradiation interruption time for hypoxic tumor using a microdosimetric kinetic model
DOI: https://doi.org/10.5603/rpor.101098
[2024] Dose compensation for decreased biological effective dose due to intrafractional interruption during radiotherapy: integration with a commercial treatment planning system
DOI: https://doi.org/10.1088/2057-1976/ad9280
[2024] 163 Enhanced Collaboration in Physics QA for Radiotherapy in Japan: The Hiroshima Model
DOI: https://doi.org/10.1016/s0167-8140(24)04041-6
[2024] A simulation study on the radiation-induced immune response of tumors after single fraction high-dose irradiation
DOI: https://doi.org/10.1016/j.ejmp.2023.103205
[2024] Prediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN
DOI: https://doi.org/10.1007/s13246-024-01443-8
[2024] 2329: A survival prediction model by radiomics in elderly esophageal cancer patients after radiotherapy
DOI: https://doi.org/10.1016/s0167-8140(24)02552-0
[2023] Biological dosimetric impact of dose-delivery time for hypoxic tumour with modified microdosimetric kinetic model
DOI: https://doi.org/10.5603/rpor.96868
[2023] Dose uncertainty due to energy dependence in dual-energy computed tomography
DOI: https://doi.org/10.5114/pjr.2023.128682
[2023] Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer
DOI: https://doi.org/10.1007/s13246-023-01249-0
[2023] Prognostic Value of Radiomics Analysis of Skeletal Muscle After Radical Irradiation of Esophageal Cancer
DOI: https://doi.org/10.21873/anticanres.16328
[2023] MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning
DOI: https://doi.org/10.1007/s13246-023-01220-z
[2023] CT number calibration audit in photon radiation therapy
DOI: https://doi.org/10.1002/mp.16887
[2023] Dosiomics for intensity-modulated radiotherapy in patients with prostate cancer: survival analysis stratified by baseline prostate-specific antigen and Gleason grade group in a 2-institutional retrospective study
DOI: https://doi.org/10.1093/bjr/tqad004
[2023] Usability of synthesized image using generative adversarial network for prediction model of recurrence after radiotherapy in locally advanced cervical cancer
DOI: https://doi.org/10.1016/j.bspc.2023.105762
[2023] Unbiased evaluation of predicted gamma passing rate by an event‐mixing technique
DOI: https://doi.org/10.1002/mp.16848
[2023] A Nomogram Based on Pretreatment Radiomics and Dosiomics Features for Predicting Overall Survival for Esophageal Squamous Cell Cancer: Multi-Institutional Study
DOI: https://doi.org/10.1016/j.ijrobp.2023.06.1678
[2023] Predicting the BRAF mutation with pretreatment MRI radiomics features for melanoma brain metastases receiving Gamma Knife radiosurgery
DOI: https://doi.org/10.1016/j.crad.2023.08.012
[2023] Radiomics and dosiomics for predicting complete response to definitive chemoradiotherapy patients with oesophageal squamous cell cancer using the hybrid institution model
DOI: https://doi.org/10.1007/s00330-023-10020-8
[2023] Novel simulation for dosimetry impact of diaphragm respiratory motion in four-dimensional volumetric modulated arc therapy for esophageal cancer
DOI: https://doi.org/10.1016/j.radonc.2023.109849
[2023] Physical and biological dosimetric margin according to prescription method for stereotactic body radiation therapy
DOI: https://doi.org/10.1093/jrr/rrac097
[2023] A synthesized gamma distribution‐based patient‐specific VMAT QA using a generative adversarial network
DOI: https://doi.org/10.1002/mp.16210
[2023] Biological dosimetric impact of dose-delivery time for hypoxic tumour with modified microdosimetric kinetic model.
DOI: https://doi.org/10.5603/rpor.a2023.0062
[2022] Deep learning‐based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients
DOI: https://doi.org/10.1002/acm2.13579
[2022] Stepwise deep neural network (stepwise-net) for head and neck auto-segmentation on CT images
DOI: https://doi.org/10.1016/j.compbiomed.2022.105295
[2022] Robust optimization of VMAT for prostate cancer accounting for geometric uncertainty
DOI: https://doi.org/10.1002/acm2.13738
[2022] A Case of Metastatic Rectal Cancer that Maintained Long Survival by Capecitabine and Bevacizumab after Salvage-line Chemotherapy
DOI: https://doi.org/10.3862/jcoloproctology.75.87
[2022] Tolerance levels of mass density for adaptive helical tomotherapy using MVCT
DOI: https://doi.org/10.1093/jrr/rrac071
[2022] Influence of different air CT numbers for IVDT on the dose distribution in TomoTherapy MVCT
DOI: https://doi.org/10.1002/acm2.13835
[2022] Image synthesis of effective atomic number images using a deep convolutional neural network-based generative adversarial network
DOI: https://doi.org/10.5603/rpor.a2022.0093
[2022] Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions
DOI: https://doi.org/10.5603/rpor.a2022.0086
[2022] Prediction model for patient prognosis in idiopathic pulmonary fibrosis using hybrid radiomics analysis
DOI: https://doi.org/10.1016/j.redii.2022.100017
[2022] Radiobiological evaluation considering the treatment time with stereotactic radiosurgery for brain metastases
DOI: https://doi.org/10.1259/bjro.20220013
[2022] Predictive gamma passing rate of 3D detector array-based volumetric modulated arc therapy quality assurance for prostate cancer via deep learning
DOI: https://doi.org/10.1007/s13246-022-01172-w
[2022] Radiomic Analysis for Pretreatment Prediction of Recurrence Post-Radiotherapy in Cervical Squamous Cell Carcinoma Cancer
DOI: https://doi.org/10.3390/diagnostics12102346
[2022] DNA strand breaks based on Monte Carlo simulation in and around the Lipiodol with flattening filter and flattening filter-free photon beams
DOI: https://doi.org/10.5603/rpor.a2022.0067
[2022] Stoichiometric CT number calibration using three-parameter fit model for ion therapy
DOI: https://doi.org/10.1016/j.ejmp.2022.05.005
[2022] A prediction model for pathological findings after neoadjuvant chemoradiotherapy for resectable locally advanced esophageal squamous cell carcinoma based on endoscopic images using deep learning
DOI: https://doi.org/10.1259/bjr.20210934
[2021] Improved cellular automata model shows that indirect apoptotic cell death due to vascular damage enhances the local control of tumors by single fraction high-dose irradiation
DOI: https://doi.org/10.1088/2057-1976/ac4466
[2021] T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks
DOI: https://doi.org/10.5603/rpor.a2021.0005
[2021] Image synthesis of monoenergetic CT image in dual‐energy CT using kilovoltage CT with deep convolutional generative adversarial networks
DOI: https://doi.org/10.1002/acm2.13190
[2021] Predicting the Local Response of Metastatic Brain Tumor to Gamma Knife Radiosurgery by Radiomics With a Machine Learning Method
DOI: https://doi.org/10.3389/fonc.2020.569461
[2021] Calculated relative biological effectiveness (RBE) for initial DNA double-strand breaks (DSB) from flattening filter and flattening filter-free 6 MV X-ray fields
DOI: https://doi.org/10.1259/bjro.20200072
[2021] Potential Benefits of Volumetric Modulated Arc Therapy to Reduce the Incidence of Grade 2 Radiation Pneumonitis in Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients
DOI: https://doi.org/10.1016/j.ijrobp.2021.07.1244
[2021] A Prediction Model for Para-Aortic Lymph Node Metastasis in Cervical Cancer by Radiomics Analysis Using Pre-Treatment MRI Images of the Primary Tumor
DOI: https://doi.org/10.1016/j.ijrobp.2021.07.1646
[2021] Survey of IMRT in Japan
DOI: https://doi.org/10.1016/j.ijrobp.2021.07.1035
[2021] Radiomic Analysis for Pretreatment Prediction of Recurrence after Radiotherapy in Locally Advanced Cervical Cancer
DOI: https://doi.org/10.1016/j.ijrobp.2021.07.477
[2021] Development of a radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer
DOI: https://doi.org/10.1016/j.oooo.2021.12.122
[2021] Potential benefits of volumetric modulated arc therapy to reduce the incidence of ≥ grade 2 radiation pneumonitis in radiotherapy for locally advanced non-small cell lung cancer patients
DOI: https://doi.org/10.1093/jjco/hyab163
[2021] Prediction of radiation pneumonitis after definitive radiotherapy for locally advanced non-small cell lung cancer using multi-region radiomics analysis
DOI: https://doi.org/10.1038/s41598-021-95643-x
[2021] A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning
DOI: https://doi.org/10.1259/bjr.20210525
[2021] Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images
DOI: https://doi.org/10.3390/diagnostics11061049
[2021] Reduction of margin to compensate the respiratory tumor motion by the analysis of dosimetric internal target volume in lung SBRT with nonuniform volume prescription method
DOI: https://doi.org/10.1002/mp.14871

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AI 要約（直近 5 年の研究成果）

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