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Department of Radiological Technology (Radiological Diagnosis)
Hiroshi Tanizaki, Kanyu Ihara, Toshihiro Ishihara, Atsushi Urikura, Hirobumi Nagasawa, Chieko Nagashima, Toshimitsu Utsuno, Naoya Ikeno, Yoshiaki Miyazaki, Hiromi Suzuki, Atsushi Shishido, Makoto Mimatsu, Jun Torii, Yasutake Ishikawa, Minami Maruyama, Ryo Kikuchi, Eiko Taguchi, Yuya Kanai, Ryo Kawana, Yusuke Wakatsuki, Nao Ozaki, Xiao Ang Tang, Seiya Mochizuki, Yuhei Shimizu, Yuta Miyamae, Akira Yoshida, Seiya Sato, Yuki Hirayama, Aya Shimoike, Chihiro Ishiyama, Miku Kosaka, Kazuki Takaso, Yuki Tsunoda, Ai Arisue, Takumi Miyairi, Ayame Sugo, Yutaro Tsukahara, Ryo Hosono, Yoshiki Ishihara, Sayaka Shimoda, Kazuki Matsubara, Mio Kakinoki, Saya Muto, Banri Shinozaki, Madoka Hasegawa, Maho Sunaga, SeokHyeon Kang, Saya Sakurai, Aika Miura, Honoka Taira, Kurumi Akatani, Arata Irie, Kana Endo, Sota Kajiwara, Yu Terafuji
Introduction
Diagnostic radiology devices are essential for diagnosis, staging, response to treatment, and follow-up of cancer patients. The Department of Radiological Technology makes full use of radiological technology to provide medical images for patients.
Human resource development of radiological technologists has always been a theme in our department and continues to be. We accept and educate residents in radiological technology. Further, we have accepted students and trainees of radiological technology from all over the world for global human resource development.
The Team and What We Do
The Division of Radiological Diagnosis has following diagnostic imaging devices; general radiography, mammography, computed tomography (CT), magnetic resonance imaging (MRI), angio-CT system for interventional radiology, X-ray fluoroscopy, single photon emission CT (SPECT), and positron emission tomography (PET) system.
Table 1. Number of diagnostic imaging devices |
|
---|---|
Modality |
n |
General X-ray |
3 |
Bone dosimeter |
1 |
Mammography |
3 |
X-ray fluoroscopy |
2 |
CT |
6 |
MRI (including intraoperative MRI) |
4 |
Angio/CT |
4 |
SPECT/CT |
2 |
PET/CT |
3 |
PET/MRI |
1 |
Table 2. Number of examination cases in FY2022 |
|
---|---|
Modality |
n |
General X-ray, fluoroscopy |
75,026 |
Mammography |
4,773 |
CT |
59,937 |
MRI |
11,488 |
Interventional radiology |
7,426 |
SPECT/CT, PET/CT, PET/MRI |
6,515 |
Research Activities
We conducted research in the fields of digital radiography (DR), CT, interventional radiology, and PET and presented the results at intra- and international conferences. We also conducted joint research with relevant companies as below.
The general radiography team conducted a collaborative infection control study using an alcohol-based silver ionic agent. The silver ionic agents were effective in infection control including floating tables, chest stands, operator consoles, changing rooms and their door handles in general radiography rooms.
The CT team conducted joint research with companies on dual energy and high-definition imaging, as well as a collation system using IC tags attached to syringes of contrast medium. We performed a phantom study to analyze the physical image characteristics of deep learning-based image processing software developed for reducing image noise in CT. We also studied the use of dose management software to build a system that discloses and shares the medical exposure dose to/with patients.
The nuclear medicine team has conducted joint research on an automatic combined dispenser and injector system and reported the results of their research on networking and simplification of dose management and dose information record acquisition. We also performed a study of dose recording and administration using an automated dosimetry system for 18F-fluorodeoxyglucose (18F-FDG) PET examinations which resulted in a significant reduction in work time and improved efficiency due to the use of QR codes to manage commercially supplied 18F-FDG drugs.
Education
We have been conducting ongoing multi-site videoconferences with cancer hub hospitals in Japan. Even during the COVID-19 pandemic, this was effective for sharing information on radiological technology between institutes.
We accepted hospital internship students from Juntendo University, the International University of Health and Welfare, Tokyo Metropolitan University, Kyorin University, Komazawa University, Tsukuba International University, and Yuanpei University of Medical Technology (Taiwan).
We conducted personnel exchanges with Tokyo University Hospital and Kyoto University Hospital to provide mutually enriching education.List of papers published in 2022
Journal
- Miyazaki Y, Shimizu J, Kubo Y, Tabata N, Aso T. Quantitative classification of invasive and noninvasive breast cancer using dynamic magnetic resonance imaging of the mammary gland. J Clin Imaging Sci. 2022 5;12時45分.
- Ishita Y, Urikura A, Yoshida T, Takiguchi K, Ikegaya M. Inaccurate table height setting affects the organ-specific radiation dose in computed tomography. Eur J Radiol. 2022;151:110317.
- Urikura A, Yoshida T, Endo M, Asakura K, Sato R, Saiga A, Moriguchi M, Nakashima K, Aramaki T. Computed tomographic pulmonary angiography: Three cases of low-tube-voltage acquisition with a slow injection of contrast medium. Acta Radiol Open. 2022 14;11(10):20584601221131476.
- Urikura A, Miyauchi Y, Yoshida T, Ishita Y, Takiguchi K, Endo M, Aramaki T. Patient dose increase caused by posteroanterior CT localizer radiographs. Radiography (Lond). 2023 27;29(2):334-339.
- Arai T, Murata S, Watanabe Y, Ishihara T, Fukamizu Y, Takeda S, Ebata K, Watanabe Y, Takashima Y, Kaneko J. Fact-finding survey on the competencies and literacy of radiological technologists regarding radiation disasters. J Xray Sci Technol. 2023;31(2):237-245.
- Hasegawa A, Ishihara T, Pan T, Ropp AM, Winkler M, Sneider MB. Impact of pixel value truncation on image quality of low dose chest CT. Med Phys. 2022 49(5):2979-2994.
- Koretsune Y, Sone M, Sugawara S, Wakatsuki Y, Ishihara T, Hattori C, Fujisawa Y, Kusumoto M. Validation of a convolutional neural network for the automated creation of curved planar reconstruction images along the main pancreatic duct. Jpn J Radiol. 2023 41(2):228-234.