A5101774913- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Atomic and Subatomic Physics Research
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Radiation Dose and Imaging
- Bone and Joint Diseases
- Advanced Neuroimaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Prostate Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Advanced NMR Techniques and Applications
- Combustion and flame dynamics
- Photoacoustic and Ultrasonic Imaging
- Endometriosis Research and Treatment
- Advanced Combustion Engine Technologies
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
- Neonatal Respiratory Health Research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Medical Imaging and Pathology Studies
- Ultrasound in Clinical Applications
- Sarcoma Diagnosis and Treatment
Fujita Health University
2016-2025
Fujita Health University Hospital
2020-2023
Canon (Japan)
2022
Izumi City General Hospital
2021
Nippon Medical School Hospital
2021
National Cancer Institute
2011
Center for Cancer Research
2011
Sapporo City General Hospital
2002
Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose To determine whether DLR can quality MRI at b values ranging from 1000 sec/mm2 5000 in patients with cancer. Materials and Methods In this retrospective study, images obtained DWI a value 0 sec/mm2, (DWI1000), 3000 (DWI3000), (DWI5000) consecutive biopsy-proven cancer January June 2020 were reconstructed without DLR....
Background Pulmonary MRI with ultrashort echo time (UTE) has been compared chest CT for nodule detection and classification. However, direct comparisons of these methods' capabilities Lung Screening Reporting Data System (Lung-RADS) evaluation remain lacking. Purpose To compare the pulmonary UTE those standard- or low-dose thin-section Lung-RADS Materials Methods In this prospective study, (270 mA 60 mA, respectively) were used to examine consecutive participants enrolled between January...
Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety organs, and compared with other methods. The purpose this study was to compare the capabilities DLR image quality improvement lung texture evaluation those hybrid-type iterative (IR) standard-, reduced- ultra-low-dose CTs (SDCT, RDCT ULDCT) obtained high-definition (HDCT) reconstructed at 0.25-mm, 0.5-mm 1-mm section thicknesses 512 × or 1024 matrixes patients various pulmonary...
Computed diffusion-weighted imaging (cDWI) is a mathematical computation technique that generates DWIs for any b-value by using actual DWI (aDWI) data with at least two different b-values and may improve differentiation of metastatic from nonmetastatic lymph nodes.To determine the appropriate cDWI to achieve better diagnostic capability node staging (N-staging) in non-small cell lung cancer (NSCLC) patients compared aDWI, short inversion time (TI) recovery (STIR) imaging, or positron...
Background Amide proton transfer (APT) weighted chemical exchange saturation CEST (APTw/CEST) magnetic resonance imaging (MRI) has been suggested as having the potential for assessing therapeutic effect of brain tumors or rectal cancer. Moreover, diffusion‐weighted (DWI) and positron emission tomography fused with computed by means 2‐[fluorine‐18]‐fluoro‐2‐deoxy‐D‐glucose (FDG‐PET/CT) have useful in same setting. Purpose To compare capability APTw/CEST imaging, DWI, FDG‐PET/CT predicting...
Abstract Since lung magnetic resonance imaging (MRI) became clinically available, limited clinical utility has been suggested for applying MRI to diseases. Moreover, applications of patients with diseases or thoracic oncology may vary from country due indications, type health insurance, number MR units available. Because this situation, members the Fleischner Society and Japanese Magnetic Resonance in Medicine have published new reports provide appropriate indications MRI. This review...
Abstract Background Interstitial lung disease (ILD) is a rare adverse event in patients receiving adjuvant or neoadjuvant chemotherapy (NAC) for breast cancer. Few studies have reported the frequency of ILD detail, and only small numbers cases been described literature. Given these previous findings concerning ILD, we retrospectively examined clinicopathological characteristics five who had received epirubicin cyclophosphamide (EC) compared their with non-ILD cases. Methods The present...
The need for quantitative assessment of interstitial lung involvement on thin-section computed tomography (CT) has arisen in diseases including connective tissue disease (CTD).To evaluate the capability machine learning (ML)-based CT texture analysis severity and treatment response assessments comparison with qualitatively assessed patients CTD.A total 149 CTD-related ILD (CTD-ILD) underwent initial follow-up scans (total 364 paired serial examinations), pulmonary function tests, serum KL-6...
Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR proposed temporal resolution and quality on MR sequences in different body fields. However, there have no reports regarding the utility of T-factor assessment improvements T2-weighted imaging (T2WI), short inversion time (TI) recovery (STIR) imaging, unenhanced- contrast-enhanced (CE) 3D fast spoiled gradient echo (GRE) with without CS comparison...
Background: Diffusion-weighted images (DWI) obtained by echo-planar imaging (EPI) are frequently degraded susceptibility artifacts. It has been suggested that DWI fast advanced spin-echo (FASE) or reconstructed with deep learning reconstruction (DLR) could be useful for image quality improvements. The purpose of this investigation using in vitro and vivo studies was to determine the influence sequence difference DLR on quality, apparent diffusion coefficient (ADC) evaluation, differentiation...