2023.9.15～17：The 126th Japan Society of Medical Physics Congress

The 126th Japan Society of Medical Physics Congress was held in Hiroshima Convention Hall, Hiroshima, Japan. Dr.Kadoya and Dr. Tanaka, Ms. Lee (D1), Ms. Umeda (D1),Ms. Rin (M1), Mr. Kondo (M1) and Ms. Foo(M1) attended it for presentation

■Date : 9.15-17,2023
■Venue :Hiroshima Convention Hall, Hiroshima , Japan
■Conference name : The 126th Japan Society of Medical Physics Congress

Hiromi Foo(M1)

The 126th Japan Society of Medical Physics Congress was held in Hiroshima Convention Hall, Hiroshima, Japan. Dr. Kadoya(Assistant professor), Dr. Tanaka (Assistant professor), Ms. Lee (D1), Ms. Umeda (D1),Ms. Rin (M1), Mr. Kondo (M1) and Ms. Foo(M1) have attended it.

The theme for the conference was ‘Fusion of Neo-Classical and Neo-Genesis’. Neoclassical is an adaption of the classical, while Neogenesis refers to a new formation. The theme addressed the field of medical physics as a fusion of the two ‘neos’, the fundamentals of physics and medicine, and the disruptive innovation of new technologies.

One of the highlights of the conference was the ‘MedPhy’ Grand Prix, which was part of the opening session. Participants presented various marketing strategies to promote the mascot of JSMP, MedPhy. We got to listen to many interesting and originative ideas, such as making keychains with 3D printers and using LINAC to draw the mascot.

During the oral presentation, Hiromi presented on ‘Homology-based prediction of radiation pneumonitis in staged III lung cancer patients using CT ventilation images.’. As the accuracy for predicting radiation pneumonitis (RP) using conventional methods is not consistent, sourcing for other means that helps to predict RP with high accuracy is of paramount importance, so that one can optimize treatment plan such that it provides tumor tissues with sufficient doses while sparing the normal tissues from excessive radiation effects based on expected risk. Thus, topological data analysis (TDA), namely weighted homology, is adopted in this study to develop novel approach to image analysis which makes use of combination of quantification of global structures in data and dose parameter to understand lung structure at deeper level. Weighted-homology based model has shown promising outcome, and we hope to investigate ways to further increase the model performance

my presentation