Shoki Inui

Dosimetric comparison of automated noncoplanar volumetric-modulated arc therapy and intensity-modulated proton therapy for total scalp irradiation in angiosarcoma of the scalp

Shoki Inui, Natsuo Tomita, Taiki Takaoka, Akane Matsuura et autres

OBJECTIVES: To compare the dosimetric performance of HyperArc (HA) and intensity-modulated proton therapy (IMPT) for total scalp irradiation (TSI) in patients with angiosarcoma of the scalp (AS). METHODS: HA and IMPT treatment plans were retrospectively generated for 27 patients with AS. Prescription …

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Dosimetric impact of knowledge-based automated planning using HyperArc for angiosarcoma of the scalp

Shoki Inui, Natsuo Tomita, Taiki Takaoka, Yoshihiro Ueda et autres

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Automatic pelvic bone segmentation for radiotherapy using diagnostic imaging workstation

Koji Kosaka, Yoshihiro Ueda, Yuji Kuroki, Hikari Minami et autres

Background: This study evaluated the usefulness of a diagnostic imaging workstation in streamlining procedures and improving the accuracy of contouring pelvic bones with characteristic shapes. Materials and methods: The study included 18 patients with computed tomography (CT) images of the pelvic bone …

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Detection of Intrafractional Set-Up Errors Using Electronic Portal Imaging Device-based in vivo Dosimetry in Deep-inspiration Breath-hold Irradiation for Left Breast Cancer

Mai Moritani, Yoshihiro Ueda, Shoki Inui, Hikari Minami et autres

Aim: dosimetry (IVD) analysis and intrafractional set-up errors (SEs) to determine the criteria for detecting intra-fractional SEs of 3 mm. Methods: Fifteen patients undergoing deep-inspiration breath-hold (DIBH) irradiation for left breast cancer were included in the study. The prescribed dose and fraction …

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Source position evaluation using X-ray fluoroscopy of the Geneva and Venezia applicators for brachytherapy: An assessment of inter-applicator differences

Sayaka Kihara, Yoshihiro Ueda, Masahiro Morimoto, Setsuo Tamenaga et autres

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Evaluation of a novel mask balloon immobilization system for reducing intra-fractional setup errors in spinal stereotactic body radiation therapy

Kamimura Kazushi, Yoshihiro Ueda, Masaru Isono, Shoki Inui et autres

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Impact of contrast-enhanced agent on segmentation using a deep learning-based software “Ai-Seg” for head and neck cancer

Sayaka Kihara, Yoshihiro Ueda, Shuichi Harada, Akira Masaoka et autres

OBJECTIVES: In radiotherapy, auto-segmentation tools using deep learning assist in contouring organs-at-risk (OARs). We developed a segmentation model for head and neck (HN) OARs dedicated to contrast-enhanced (CE) computed tomography (CT) using the segmentation software, Ai-Seg, and compared the performance between CE …

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Effects of Institutional Experience on Plan Quality in Stereotactic Radiotherapy Using HyperArc for Brain Metastases

Sayaka Kihara, Shingo Ohira, Naoyuki Kanayama, Toshiki Ikawa et autres

Background/Aim: HyperArc (HA) is an automated planning technique enabling single-isocenter brain stereotactic radiotherapy (SRT); however, dosimetric outcomes may be influenced by the planner’s expertise. This study aimed to assess the impact of institutional experience on the plan quality of HA-SRT for both …

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Retrospective Comparison of Geometrical Accuracy among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer

Yukari Nagayasu, Shoki Inui, Yoshihiro Ueda, Akira Masaoka et autres

Aims: This study aimed to evaluate the geometrical accuracy of atlas-based auto-segmentation (ABAS), deformable image registration (DIR), and deep learning auto-segmentation (DLAS) in adaptive radiotherapy (ART) for head-and-neck cancer (HNC). Subjects and Methods: Seventeen patients who underwent replanning for ART were retrospectively …

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What is the optimal isodose line for stereotactic radiotherapy for single brain metastases using HyperArc?

Tomohiro Sagawa, Toshiki Ikawa, Shingo Ohira, Naoyuki Kanayama et autres

Abstract Purpose The study aimed to investigate the optimal isodose line (IDL) in linear accelerator‐based stereotactic radiotherapy for single brain metastasis, using HyperArc. We compared the dosimetric parameters for target and normal brain tissue among six plans with different IDLs. Methods This …

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Feasibility of a portable respiratory training system with a gyroscope sensor

Yuya Nitta, Yoshihiro Ueda, Shingo Ohira, Masaru Isono et autres

OBJECTIVES: A portable respiratory training system with a gyroscope sensor (gyroscope respiratory training system [GRTS]) was developed and the feasibility of respiratory training was evaluated. METHODS: Simulated respiratory waveforms from a respiratory motion phantom and actual respirator waveforms from volunteers were acquired …

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The effects of distance between the imaging isocenter and brain center on the image quality of cone-beam computed tomography for brain stereotactic irradiation

Sayaka Kihara, Shingo Ohira, Naoyuki Kanayama, Toshiki Ikawa et autres

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