N. Mukumoto
Kobe University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by N. Mukumoto.
Radiation Oncology | 2012
Kazuyuki Uehara; Takashi Sasayama; D. Miyawaki; Hideki Nishimura; K. Yoshida; Yoshiaki Okamoto; N. Mukumoto; Hiroaki Akasaka; Masamitsu Nishihara; Osamu Fujii; Toshinori Soejima; Kazuro Sugimura; Eiji Kohmura; Ryohei Sasaki
BackgroundThe purpose of the present study was to analyze the recurrence pattern of high-grade glioma treated with a multimodal treatment approach and to evaluate whether the MIB-1 labeling index (LI) could be a useful marker for predicting the pattern of failure in glioblastoma (GB).Methods and materialsWe evaluated histologically confirmed 131 patients with either anaplastic astrocytoma (AA) or GB. A median dose was 60 Gy. Concomitant and adjuvant chemotherapy were administered to 111 patients. MIB-1 LI was assessed by immunohistochemistry. Recurrence patterns were categorized according to the areas of recurrence as follows: central failure (recurrence in the 95% of 60 Gy); in-field (recurrence in the high-dose volume of 50 Gy; marginal (recurrence outside the high-dose volume) and distant (recurrence outside the RT field).ResultsThe median follow-up durations were 13 months for all patients and 19 months for those remaining alive. Among AA patients, the 2-year progression-free and overall survival rates were 23.1% and 39.2%, respectively, while in GB patients, the rates were 13.3% and 27.6%, respectively. The median survival time was 20 months for AA patients and 15 months for GB patients. Among AA patients, recurrences were central in 68.7% of patients; in-field, 18.8%; and distant, 12.5%, while among GB patients, 69.0% of recurrences were central, 15.5% were in-field, 12.1% were marginal, and 3.4% were distant. The MIB-1 LI medians were 18.2% in AA and 29.8% in GB. Interestingly, in patients with GB, the MIB-1 LI had a strong effect on the pattern of failure (P = 0.014), while the extent of surgical removal (P = 0.47) and regimens of chemotherapy (P = 0.57) did not.ConclusionsMIB-1 LI predominantly affected the pattern of failure in GB patients treated with a multimodal approach, and it might be a useful tool for the management of the disease.
Journal of Radiation Research | 2017
N. Mukumoto; Masao Nakayama; Hiroaki Akasaka; Yasuyuki Shimizu; Saki Osuga; D. Miyawaki; K. Yoshida; Yasuo Ejima; Yasushi Miura; Keiji Umetani; Takeshi Kondoh; Ryohei Sasaki
Micro-slit-beam radiation therapy (MRT) using synchrotron-generated X-ray beams allows for extremely high-dose irradiation. However, the toxicity of MRT in central nervous system (CNS) use is still unknown. To gather baseline toxicological data, we evaluated mortality in normal mice following CNS-targeted MRT. Male C57BL/6 J mice were head-fixed in a stereotaxic frame. Synchrotron X-ray-beam radiation was provided by the SPring-8 BL28B2 beam-line. For MRT, radiation was delivered to groups of mice in a 10 × 12 mm unidirectional array consisting of 25-μm-wide beams spaced 100, 200 or 300 μm apart; another group of mice received the equivalent broad-beam radiation therapy (BRT) for comparison. Peak and valley dose rates of the MRT were 120 and 0.7 Gy/s, respectively. Delivered doses were 96–960 Gy for MRT, and 24–120 Gy for BRT. Mortality was monitored for 90 days post-irradiation. Brain tissue was stained using hematoxylin and eosin to evaluate neural structure. Demyelination was evaluated by Klüver–Barrera staining. The LD50 and LD100 when using MRT were 600 Gy and 720 Gy, respectively, and when using BRT they were 80 Gy and 96 Gy, respectively. In MRT, mortality decreased as the center-to-center beam spacing increased from 100 μm to 300 μm. Cortical architecture was well preserved in MRT, whereas BRT induced various degrees of cerebral hemorrhage and demyelination. MRT was able to deliver extremely high doses of radiation, while still minimizing neuronal death. The valley doses, influenced by beam spacing and irradiated dose, could represent important survival factors for MRT.
Physics in Medicine and Biology | 2017
Tianyuan Wang; Takeaki Ishihara; Atsushi K. Kono; Naoki Yoshida; Hiroaki Akasaka; N. Mukumoto; Ryuichi Yada; Yasuo Ejima; K. Yoshida; D. Miyawaki; Kenichiro Kakutani; Kotaro Nishida; Noriyuki Negi; Toshiaki Minami; Yuuichi Aoyama; Satoru Takahashi; Ryohei Sasaki
The objective of the present study was the determination of the potential dosimetric benefits of using metal-artefact-suppressed dual-energy computed tomography (DECT) images for cases involving pedicle screw implants in spinal sites. A heterogeneous spinal phantom was designed for the investigation of the dosimetric effect of the pedicle-screw-related artefacts. The dosimetric comparisons were first performed using a conventional two-directional opposed (AP-PA) plan, and then a volumetric modulated arc therapy (VMAT) plan, which are both used for the treatment of spinal metastases in our institution. The results of Acuros® XB dose-to-medium (Dm) and dose-to-water (Dw) calculations using different imaging options were compared with experimental measurements including the chamber and film dosimetries in the spinal phantom. A dual-energy composition image with a weight factor of -0.2 and a dual-energy monochromatic image (DEMI) with an energy level of 180 keV were found to have superior abilities for artefact suppression. The Dm calculations revealed greater dosimetric effects of the pedicle screw-related artefacts compared to the Dw calculations. The results of conventional single-energy computed tomography showed that, although the pedicle screws were made from low-Z titanium alloy, the metal artefacts still have dosimetric effects, namely, an average (maximum) Dm error of 4.4% (5.6%) inside the spinal cord for a complex VMAT treatment plan. Our findings indicate that metal-artefact suppression using the proposed DECT (DEMI) approach is promising for improving the dosimetric accuracy near the implants and inside the spinal cord (average (maximum) Dm error of 1.1% (2.0%)).
Archive | 2017
Hiroaki Akasaka; N. Mukumoto; Masao Nakayama; Tianyuan Wang; Ryuichi Yada; Yasuyuki Shimizu; Saki Osuga; Yuki Wakahara; Ryohei Sasaki
This chapter discusses the clinical application and implementation of wedge techniques in radiation therapy. Coverage of the target region with a curative dose is critical for treating several cancer types; to that end, wedge filters are commonly used to improve dose uniformity to the target volume. Initially, wedges designed for this purpose were physical and were made of high-density materials such as lead or steel. Subsequently, nonphysical wedges were introduced; these improved the dose uniformity using computer systems in lieu of physical materials. As wedge systems evolve, however, they each continue to have their advantages and disadvantages. When using physical wedges, it is difficult to control the generation of secondary radiation resulting from the collision of the radiation beam with the wedge body; conversely, nonphysical wedges do not create any secondary radiation because there is no physical interference with the beam. On the other hand, nonphysical wedges are less suitable for treating moving tumors, such as those in the lung, and physical wedges have better dose coverage to the target volume than nonphysical wedges. This chapter aims to guide decision-making regarding the choice of wedge types in various clinical situations.
Radiation Oncology | 2016
Hiroaki Akasaka; Yoshiyuki Mizushina; K. Yoshida; Yasuo Ejima; N. Mukumoto; Tianyuan Wang; Sachiko Inubushi; Masao Nakayama; Yuki Wakahara; Ryohei Sasaki
International Journal of Radiation Oncology Biology Physics | 2014
Hiroaki Akasaka; Ryohei Sasaki; D. Miyawaki; N. Mukumoto; Nor Shazrina Sulaiman; Masaaki Nagata; Shigeru Yamada; M. Murakami; Yusuke Demizu; Takumi Fukumoto
International Journal of Radiation Oncology Biology Physics | 2015
Hiroaki Akasaka; Yasuo Ejima; K. Yoshida; D. Miyawaki; Takeaki Ishihara; N. Mukumoto; Yoshiro Matsuo; H. Uezono; Yoshiyuki Mizushina; Ryohei Sasaki
International Journal of Radiation Oncology Biology Physics | 2015
D. Miyawaki; N. Mukumoto; Yasuo Ejima; K. Yoshida; Takeaki Ishihara; Naomi Kiyota; Miki Saito; Naoki Otsuki; Ken-ichi Nibu; Ryohei Sasaki
International Journal of Radiation Oncology Biology Physics | 2014
M. Nakayama; N. Mukumoto; Hiroaki Akasaka; D. Miyawaki; Hideki Nishimura; Keiji Umetani; N. Nariyama; Takeshi Kondoh; Kunio Shinohara; Ryohei Sasaki
International Journal of Radiation Oncology Biology Physics | 2013
N. Mukumoto; D. Miyawaki; Hiroaki Akasaka; M. Nakayama; Yasushi Miura; Keiji Umetani; N. Nariyama; Kunio Shinohara; Takeshi Kondoh; Ryohei Sasaki