Japanese

Radiation Oncology

The original website is here.

Prof. MURAKAMI Yuji

【Research Keywords】
Precision Radiotherapy, Volumetric Modulated Arc Therapy (VMAT), Geriatric Assessment, Artificial Intelligence (AI), Radiomics, Oligometastatic Disease, Radioligand Therapy (RLT), Chromosomal Abnormalities

【Recent highlights】
1. Implementation of HyperArc
We have introduced HyperArc, an advanced IMRT technique that delivers highly conformal VMAT from multiple angles, maximizing tumor dose while minimizing exposure to surrounding normal tissues.

2. Promotion of Image-Guided Brachytherapy (IGBT) and Hybrid RALS
We actively perform CT-based image-guided brachytherapy (IGBT) for gynecologic cancers and have introduced Hybrid RALS, combining intracavitary and interstitial brachytherapy for complex tumors.

3. Advancement of Radioligand Therapy (RLT)
We provide Lutathera® for somatostatin receptor-positive neuroendocrine tumors and Pluvicto® for metastatic castration-resistant prostate cancer, expanding access to targeted radionuclide therapies.

4. Regional Collaboration with HIPRAC
Through close collaboration with HIPRAC, we offer advanced outpatient radiotherapy services and strengthen regional cancer care networks.

5. Development of Novel Radiotherapy Planning Software and AI-Based Technologies
In collaboration with industry and international partners, we develop innovative radiotherapy planning systems and AI-driven technologies to improve cancer treatment and clinical practice.

6. Research on Chromosomal Abnormalities and Personalized Radiotherapy
We investigate the relationship between chromosomal abnormalities, treatment response, and radiation-induced toxicities to advance personalized radiotherapy.

Profiles of Faculty and Research Scholars

【Major Papers of the Laboratory】
・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 Advanced Precision Radiotherapy Technologies, Optimization of Radiotherapy Strategies for Oligometastatic Disease, Development of Personalized Radiotherapy Systems for Older Adults with Cancer, AI-Based Prediction of Clinical Outcomes Following Radiotherapy, Development of AI-Assisted Tools for Radiotherapy Planning, Development of Toxicity-Sparing Radiotherapy Techniques, Investigation of Genetic Variations Associated with Radiotherapy-Induced Toxicities, Development and Implementation of Radioligand Therapy Systems

【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