Hiroki Shirato
Hokkaido University
IrradiationInternal medicineRadiologySurgeryPathologyMagnetic resonance imagingOncologyFiducial markerMedical physicsRadiation treatment planningSurvival rateChemotherapyLungProton therapyRadiosurgeryNuclear medicineTumor trackingComputer scienceRadiation therapyMedicine
Publications 808
#1Kentaro Nishioka (Hokkaido University)H-Index: 7
#2Kento Gotoh (Hokkaido University)
Last. Koichi Yasuda (Hokkaido University)H-Index: 10
view all 17 authors...
Purpose/Objective(s) null Stereotactic ablative radiotherapy (SABR) is an effective treatment for lung tumors, but can result in toxicity such as chest wall pain and life-threatening damage to central lung structures. We hypothesized that while larger tumors require higher dose, small tumors up to 10cc in volume can be controlled with biologically effective dose null null null null Materials/Methods null Patients in three groups were enrolled: initial diagnosis of non-small cell lung cancer (NSC...
#1Sira Jampa-Ngern (Hokkaido University)
#2Keiji Kobashi (Hokkaido University)H-Index: 7
Last. Hiroki Shirato (Hokkaido University)H-Index: 81
view all 6 authors...
The prediction of liver Dmean with 3-dimensional radiation treatment planning (3DRTP) is time consuming in the selection of proton beam therapy (PBT), and deep learning prediction generally requires large and tumor-specific databases. We developed a simple dose prediction tool (SDP) using deep learning and a novel contour-based data augmentation (CDA) approach and assessed its usability. We trained the SDP to predict the liver Dmean immediately. Five and two computed tomography (CT) data sets of...
#1Kanako Ukon (Hokkaido University)
#2Yohei Arai (Hokkaido University)
Last. Naoki Miyamoto (Hokkaido University)H-Index: 16
view all 9 authors...
The purpose of this work is to show the usefulness of a prediction method of tumor location based on partial least squares regression (PLSR) using multiple fiducial markers. The trajectory data of respiratory motion of four internal fiducial markers inserted in lungs were used for the analysis. The position of one of the four markers was assumed to be the tumor position and was predicted by other three fiducial markers. Regression coefficients for prediction of the position of the tumor-assumed ...
#1Jia Wu (University of Texas MD Anderson Cancer Center)H-Index: 17
#2Chao Li (University of Cambridge)H-Index: 7
Last. David A. Jaffray (University of Texas MD Anderson Cancer Center)H-Index: 98
view all 16 authors...
Radiomics refers to the high-throughput extraction of quantitative features from radiological scans and is widely used to search for imaging biomarkers for the prediction of clinical outcomes. Current radiomic signatures suffer from limited reproducibility and generalizability, because most features are dependent on imaging modality and tumour histology, making them sensitive to variations in scan protocol. Here, we propose novel radiological features that are specially designed to ensure compat...
#1Takahiro Yamada (Hitachi)H-Index: 1
#2Seishin Takao (Hokkaido University)H-Index: 11
Last. Shinichi Shimizu (Hokkaido University)H-Index: 105
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In spot scanning proton therapy (SSPT), the spot position relative to the target may fluctuate through tumor motion even when gating the radiation by utilizing a fiducial marker. We have established a procedure that evaluates the delivered dose distribution by utilizing log data on tumor motion and spot information. The purpose of this study is to show the reliability of the dose distributions for liver tumors treated with real-time-image gated SSPT (RGPT). In the evaluation procedure, the deliv...
Abstract Clock genes express circadian rhythms in most organs. These rhythms are organized throughout the whole body, regulated by the suprachiasmatic nucleus (SCN) in the brain. Disturbance of these clock gene expression rhythms is a risk factor for diseases such as obesity. In the present study, to explore the role of clock genes in developing diabetes, we examined the effect of streptozotocin (STZ)-induced high glucose on Period1 (Per1) gene expression rhythm in the liver and the olfactory bu...
#1Suguru Kimura (Hokkaido University)H-Index: 1
#2Naoki Miyamoto (Hokkaido University)H-Index: 16
Last. Masayori Ishikawa (Hokkaido University)H-Index: 17
view all 6 authors...
PURPOSE The real-time tumor tracking radiotherapy (RTRT) system requires periodic quality assurance (QA) and quality control. The goal of this study is to propose QA procedures from the viewpoint of imaging devices in the RTRT system. METHODS Tracking by the RTRT system (equips two sets of colored image intensifiers (colored I.I.s) fluoroscopy units) for the moving gold-marker (diameter 2.0 mm) in a rotating phantom were performed under various X-ray conditions. To analyze the relationship betwe...
#1Anussara Prayongrat (Chula: Chulalongkorn University)H-Index: 7
#2Natchalee Srimaneekarn (MU: Mahidol University)H-Index: 3
Last. Keiji Kobashi (Hokkaido University)H-Index: 7
view all 16 authors...
We developed a confidence interval-(CI) assessing model in multivariable normal tissue complication probability (NTCP) modeling for predicting radiation-induced liver disease (RILD) in primary liver cancer patients using clinical and dosimetric data. Both the mean NTCP and difference in the mean NTCP (ΔNTCP) between two treatment plans of different radiotherapy modalities were further evaluated and their CIs were assessed. Clinical data were retrospectively reviewed in 322 patients with hepatoce...
#1Yusuke Nomura (Hokkaido University)H-Index: 3
#2Sodai Tanaka (Hokkaido University)H-Index: 6
Last. Lei Xing (Stanford University)H-Index: 89
view all 6 authors...
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been proposed, techniques that include estimation of uncertainty are limited. This study proposes a novel uncertainty-aware pCT image correction method using a Bayesian convolutional neural network (BCNN). A DenseNet-based BCNN was constructed to predict both a...
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