Hidetaka Arimura
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View article: Radiodosiomics Prediction of Treatment Failures Prior to Chemoradiotherapy in Head-and-Neck Squamous Cell Carcinoma
Radiodosiomics Prediction of Treatment Failures Prior to Chemoradiotherapy in Head-and-Neck Squamous Cell Carcinoma Open
Predicting treatment failure (TF) in head-and-neck squamous cell carcinoma (HNSCC) patients before treatment can help in selecting a more appropriate treatment approach. We investigated a novel radiodosiomics approach to predict TF prior t…
View article: Can Online Adaptive Radiation Therapy Eliminate Intrafractional Deformation in Gastric Mucosa-Associated Lymphoid Tissue Lymphoma?
Can Online Adaptive Radiation Therapy Eliminate Intrafractional Deformation in Gastric Mucosa-Associated Lymphoid Tissue Lymphoma? Open
View article: Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties
Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties Open
Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an early stage could allow for more appropriate triage and improve patient prognosis. Moreover, the visualization of the topological properties…
View article: Fractal dimensions for tumour-related cell types of prostate cancer on histopathology images using multiple-threshold box counting algorithm
Fractal dimensions for tumour-related cell types of prostate cancer on histopathology images using multiple-threshold box counting algorithm Open
View article: Differential Predictive Models of Time-Variant Tumor Grow Trajectories with Three Cell Populations in Lung Tumors During Molecularly Targeted Therapy
Differential Predictive Models of Time-Variant Tumor Grow Trajectories with Three Cell Populations in Lung Tumors During Molecularly Targeted Therapy Open
View article: Correction: Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers
Correction: Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers Open
[This corrects the article DOI: 10.1371/journal.pone.0244354.].
View article: Topological radiogenomics based on persistent lifetime images for identification of epidermal growth factor receptor mutation in patients with non-small cell lung tumors
Topological radiogenomics based on persistent lifetime images for identification of epidermal growth factor receptor mutation in patients with non-small cell lung tumors Open
We hypothesized that persistent lifetime (PLT) images could represent tumor imaging traits, locations, and persistent contrasts of topological components (connected and hole components) corresponding to gene mutations such as epidermal gro…
View article: [Applications] 10. Radiomics Researches for Cancer Treatment Using Python
[Applications] 10. Radiomics Researches for Cancer Treatment Using Python Open
View article: Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning
Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning Open
This study aimed to propose an automated prediction approach of the consolidation tumor ratios (CTRs) of part-solid tumors of patients treated with radiotherapy on treatment planning computed tomography images using deep learning segmentat…
View article: Radiomics- and dosiomics-based prediction of treatment failure after chemoradiotherapy for pharyngeal squamous cell carcinoma patients
Radiomics- and dosiomics-based prediction of treatment failure after chemoradiotherapy for pharyngeal squamous cell carcinoma patients Open
We investigated an approach to predict treatment failure after chemoradiation using radiomics and dosiomics in patients with pharyngeal squamous cell carcinoma (PSCC). Data of 172 patients were collected from a public database. The cases w…
View article: Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer
Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer Open
Histology, tumor diameter, and radiomic score could be significant factors for predicting NSCLC recurrence patterns after SBRT.
View article: Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients
Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients Open
View article: CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients
CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients Open
This study aimed to elucidate a computed tomography (CT) image-based biopsy with a radiogenomic signature to predict homeodomain-only protein homeobox (HOPX) gene expression status and prognosis in patients with non-small cell lung cancer …
View article: Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images
Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images Open
View article: Translocation of nuclear chromatin distribution to the periphery reflects dephosphorylated threonine-821/826 of the retinoblastoma protein (pRb) in T24 cells treated with Bacillus Calmette–Guérin
Translocation of nuclear chromatin distribution to the periphery reflects dephosphorylated threonine-821/826 of the retinoblastoma protein (pRb) in T24 cells treated with Bacillus Calmette–Guérin Open
View article: Can Persistent Homology Features Capture More Intrinsic Information about Tumors from 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Images of Head and Neck Cancer Patients?
Can Persistent Homology Features Capture More Intrinsic Information about Tumors from 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Images of Head and Neck Cancer Patients? Open
This study hypothesized that persistent homology (PH) features could capture more intrinsic information about the metabolism and morphology of tumors from 18F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) i…
View article: Prediction of Intracranial Aneurysm Rupture Risk Using Non-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance Angiography Images: A Preliminary Study
Prediction of Intracranial Aneurysm Rupture Risk Using Non-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance Angiography Images: A Preliminary Study Open
This is the first preliminary study to develop prediction models for aneurysm rupture risk using radiomics analysis based on follow-up magnetic resonance angiography (MRA) images. We selected 103 follow-up images from 18 unruptured aneurys…
View article: Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images
Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images Open
Aim: The aim of this study was to develop dual segmentation models for poorly and well-differentiated hepatocellular carcinoma (HCC), using two-step transfer learning (TSTL) based on dynamic contrast-enhanced (DCE) computed tomography (CT)…
View article: Relapse predictability of topological signature on pretreatment planning <scp>CT</scp> images of stage I non‐small cell lung cancer patients before treatment with stereotactic ablative radiotherapy
Relapse predictability of topological signature on pretreatment planning <span>CT</span> images of stage I non‐small cell lung cancer patients before treatment with stereotactic ablative radiotherapy Open
Background This study aimed to explore the predictability of topological signatures linked to the locoregional relapse (LRR) and distant metastasis (DM) on pretreatment planning computed tomography images of stage I non‐small cell lung can…
View article: 6. Imaging Biopsy for Assisting Cancer Precision Therapy —Information Extracted from Radiomics—
6. Imaging Biopsy for Assisting Cancer Precision Therapy —Information Extracted from Radiomics— Open
View article: Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis
Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis Open
Objectives We aimed to explore the synergistic combination of a topologically invariant Betti number (BN)-based signature and a biomarker for the accurate prediction of symptomatic (grade ≥2) radiation-induced pneumonitis (RP+) before ster…
View article: Three-Dimensional Topological Radiogenomics of Epidermal Growth Factor Receptor Del19 and L858R Mutation Subtypes on Computed Tomography Images of Lung Cancer Patients
Three-Dimensional Topological Radiogenomics of Epidermal Growth Factor Receptor Del19 and L858R Mutation Subtypes on Computed Tomography Images of Lung Cancer Patients Open
View article: Prediction Models of Tumor Growth Trajectories Based on Pretreatment CT Images of TKI-Treated Lung Cancer Patients
Prediction Models of Tumor Growth Trajectories Based on Pretreatment CT Images of TKI-Treated Lung Cancer Patients Open
We have developed prediction models of tumor growth trajectories (TGTs) based on pretreatment computed tomography (CT) images, prior to targeted therapy with four specific tyrosine kinase inhibitors (TKIs)—erlotinib, gefitinib, afatinib, a…
View article: Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers
Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers Open
Objectives To propose a novel robust radiogenomics approach to the identification of epidermal growth factor receptor ( EGFR ) mutations among patients with non-small cell lung cancer (NSCLC) using Betti numbers (BNs). Materials and method…
View article: Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks Open
The aim of this study was to develop an automated segmentation approach for small gross tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V-networks (DVNs) that offer more advantages in segmenting smaller stru…
View article: Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients
Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients Open
This study demonstrated the usefulness of radiomic features based on the Hessian index of differential topology for the prediction of prognosis prior to treatment in head-and-neck (HN) cancer patients. The Hessian index, which can indicate…
View article: Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy
Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy Open
View article: Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network
Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network Open
The proposed automated CNN-based approach could successfully classify urinary stones into three types, namely calcium, uric acid, and mixture stones, using micro-CT images.
View article: Development of Method using Sentiment Analysis for Anxiety Opinion of Radiation Exposure by Social Big Data
Development of Method using Sentiment Analysis for Anxiety Opinion of Radiation Exposure by Social Big Data Open
A lot of people concerns about radiation exposure by Fukushima nuclear accident. But no method that we effectively understand people’s anxiety because we grasped people’s needs about radiation exposure with individualism (ex. Telephone, qu…
View article: Diagnostic Value of FDG-PET/CT for the Identification of Extranodal Extension in Patients With Head and Neck Squamous Cell Carcinoma
Diagnostic Value of FDG-PET/CT for the Identification of Extranodal Extension in Patients With Head and Neck Squamous Cell Carcinoma Open
FDG-PET/CT findings using a SUVmax cut-off of 3.0 provides appropriate diagnostic value in identifying ENE.