Radiation Oncology

Prof. MURAKAMI Yuuji

【Research Keywords】
High precision radiotherapy, Volumetric Modulated Arc Therapy (VMAT), Geriatric assessment, Artificial Intelligence (AI), Radiomics, Oligometastasis

【Recent highlights】
1. Introduction of HyperArc
We have implemented HyperArc, a novel irradiation technique in intensity-modulated radiotherapy (IMRT). This technology enables VMAT using a linear accelerator from multiple angles, maximizing radiation dose concentration to the tumor while minimizing exposure to surrounding normal organs.

2. Advancement of Image-Guided Brachytherapy (IGBT) and Hybrid RALS for Gynecologic Malignancies
For intracavitary brachytherapy in gynecologic malignancies, we have introduced image-guided brachytherapy (IGBT), which allows for three-dimensional treatment planning based on CT imaging, thereby improving treatment outcomes and reducing adverse effects. Additionally, for irregularly shaped tumors that are difficult to treat with conventional RALS, we have adopted a novel technique called Hybrid RALS, which combines intracavitary and interstitial brachytherapy. In April 2025, we renovated our RALS room to create a more comfortable treatment environment. We also introduced a new applicator compatible with Hybrid RALS, enabling more precise and user-friendly treatment delivery.

3. Initiation of Lutathera Therapy
We have started offering Lutathera (generic name: Lutetium oxodotreotide) therapy for patients with somatostatin receptor-positive neuroendocrine tumors (NETs). This agent selectively binds to tumor-expressed receptors, delivering radioactive isotopes directly to tumor cells for effective treatment while minimizing damage to surrounding normal tissues.

4. Regional Collaboration with HIPRAC
With the opening of HIPRAC near Hiroshima Station as part of a redevelopment project, we are strengthening our partnership as a four-hospital network cancer center in collaboration with Hiroshima City Hospital, Hiroshima Prefectural Hospital, Hiroshima Red Cross & Atomic Bomb Survivors Hospital, and Hiroshima University Hospital. As a designated cancer care coordination hospital in the prefecture, we are committed to ensuring patients receive optimal radiotherapy.

5. Development of New Radiotherapy Planning Software and AI-Based Treatment Technologies
In the field of medical physics, we are collaborating with industry, domestic and international research institutions, and hospitals to develop radiotherapy planning software and treatment techniques. We are also engaging in international joint research on AI-based treatment technologies. The AI tools developed by our department are not limited to radiotherapy but are also being applied to support various clinical departments across the healthcare spectrum.

Profiles of Faculty and Research Scholars

【Major Papers of the Laboratory】
・Murakami Y, Takahashi I, Nishibuchi I, Doi Y, Okabe T, Kenjo M, Kimura T, Nagata Y: Long-term results of definitive concurrent chemoradiotherapy for patients with esophageal submucosal cancer (T1bN0M0). Int J Clin Oncol, 20: 897-904, 2015
・Murakami Y, Kawahara D, Tani S, Kubo K, Katsuta T, Imano N, Takeuchi Y, Nishibuchi I, Saito A, Nagata Y: Predicting the local response of esophageal squamous cell carcinoma to neoadjuvant chemoradiotherapy by radiomics with a machine learning method using 18F-FDG PET images. Diagnostics (Basel), 11: 1049-1049, 2021
・Katsuta T, Murakami Y, Kawahara D, Miyoshi S, Imano N, Hirokawa J, Nishibuchi I, Nagata Y: Novel simulation for dosimetry impact of diaphragm respiratory motion in four-dimensional volumetric modulated arc therapy for esophageal cancer. Radiother Oncol, 187: 109849, 2023
・Nishibuchi I, Murakami Y, Kubo K, Imano N, Takeuchi Y, Urabe Y, Oka S, Tanaka S, Nagata Y: Temporal changes and risk factors for esophageal stenosis after salvage radiotherapy in superficial esophageal cancer following non-curative endoscopic submucosal dissection. Radiother Oncol, 166: 65-70, 2022
・Imano N, Saito T, Hoskin P, Nakamura N, Ito K, Yorozu A, Nishibuchi I, Murakami Y, Nagata Y: Pain response rates after conventional radiation therapy for bone metastases assessed using the international consensus pain response endpoints: A systematic review and meta-analysis of initial radiation therapy and re-irradiation. Int J Radiat Oncol Biol Phys, 116:739-746, 2023

【Education】
Radiation Oncology, Medical Physics, Radiation Biology

【Research】
Development of high-precision radiotherapy techniques, Optimal radiotherapy strategies for oligometastatic disease, Design of optimal radiotherapy systems for elderly patients, AI-based prediction of radiotherapy outcomes, Development of AI-assisted tools for radiotherapy planning, Development of radiotherapy techniques aimed at reducing toxicity, Research on radiation-induced genetic mutations and associated toxicity, Development of novel radionuclide therapy (RI therapy)

【Photo explanation】Team members

【Photo explanation】Conference

【Photo explanation】Sample image display from the Japan Plug-in based Radiotherapy Planning System (jPRAPs) developed to help plan radiotherapy for cancer


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