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Tytuł:
Comparative evaluation of multiparametric lumbar MRI radiomic models for detecting osteoporosis.
Autorzy:
Zhen T; Department of Radiology, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, Zhejiang, 310006, China. .
Fang J; Zhejiang Provincial Hospital of Traditional Chinese medicine, Hangzhou, 310006, China.
Hu D; Department of Radiology, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, Zhejiang, 310006, China.
Shen Q; Department of Radiology, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, Zhejiang, 310006, China.
Ruan M; Department of Radiology, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, Zhejiang, 310006, China.
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Źródło:
BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2024 Feb 29; Vol. 25 (1), pp. 185. Date of Electronic Publication: 2024 Feb 29.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Osteoporosis*/diagnostic imaging
Humans ; Radiomics ; Retrospective Studies ; Bone Density ; Magnetic Resonance Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI.
Autorzy:
Zheng H; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA. .; Computer Science, University of California, Los Angeles, Los Angeles, 90095, USA. .
Hung ALY; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA.; Computer Science, University of California, Los Angeles, Los Angeles, 90095, USA.
Miao Q; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA.
Song W; Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, 90095, USA.
Scalzo F; Computer Science, University of California, Los Angeles, Los Angeles, 90095, USA.; The Seaver College, Pepperdine University, Los Angeles, 90363, USA.
Raman SS; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA.
Zhao K; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA.
Sung K; Radiological Sciences, University of California, Los Angeles, Los Angeles, 90095, USA.
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 08; Vol. 14 (1), pp. 5740. Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Male ; Humans ; Prostate/diagnostic imaging ; Prostate/pathology ; Magnetic Resonance Imaging ; Image-Guided Biopsy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparative study of stretched-exponential and kurtosis models of diffusion-weighted imaging in renal assessment to distinguish patients with primary aldosteronism from healthy controls.
Autorzy:
Wen D; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Peng P; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yue X; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.; Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Xu C; Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Pu Q; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ming Y; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yang H; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zhang M; GE Healthcare, MR Research, Beijing, China.
Ren Y; Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Sun J; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
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Źródło:
PloS one [PLoS One] 2024 Feb 08; Vol. 19 (2), pp. e0298207. Date of Electronic Publication: 2024 Feb 08 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Diffusion Magnetic Resonance Imaging*/methods
Hyperaldosteronism*/diagnostic imaging
Humans ; Kidney/diagnostic imaging ; Diffusion Tensor Imaging/methods ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Effect of etelcalcetide versus alfacalcidol on left ventricular function and feature-tracking cardiac magnetic resonance imaging in hemodialysis-a post-hoc analysis of a randomized, controlled trial.
Autorzy:
Dörr K; Department of Nephrology, Medical University of Vienna, Vienna, Austria.
Kammerlander A; Department of Cardiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. .
Lauriero F; Department of Radiological and Hematological Science, Section of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy.
Lorenz M; Vienna Dialysis Center, Vienna, Austria.
Marculescu R; Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Beitzke D; Department of Biomedical Imaging and Image-Guided Therapy, Division of Cardiovascular and Interventional Radiology, Medical University of Vienna, Vienna, Austria.
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Nov 06; Vol. 25 (1), pp. 62. Date of Electronic Publication: 2023 Nov 06.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging, Cine*
Ventricular Function, Left*
Humans ; Hypertrophy, Left Ventricular ; Magnetic Resonance Imaging ; Predictive Value of Tests ; Renal Dialysis ; Stroke Volume ; Randomized Controlled Trials as Topic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Accuracy of Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer detection from multiparametric magnetic resonance imaging.
Autorzy:
Jai-Ua C; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand.
Limpaiboon C; Department of Radiology, Phramongkutklao Hospital, Bangkok, Thailand.
Siriboonrid S; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand.
Binsri N; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand.
Kanjanatarayon S; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand.
Wiriyabanditkul W; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand.
Jiraanankul V; Division of Urology, Department of Surgery, Phramongkutklao Hospital, Bangkok, Thailand. Jiraanankul_.
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Źródło:
Investigative and clinical urology [Investig Clin Urol] 2023 Nov; Vol. 64 (6), pp. 546-553.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Urinary Bladder Neoplasms*/pathology
Humans ; Urinary Bladder/pathology ; Sensitivity and Specificity ; Muscles/pathology ; Magnetic Resonance Imaging/methods ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Advanced muscle imaging in adolescent elite rowers utilizing diffusion tensor imaging: Association of imaging findings with stroke typology.
Autorzy:
Marth AA; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Auer TA; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; Clinician Scientist Program, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.
Bertalan G; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Gebert P; Institute for Biometry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Kirchenberger T; Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Geisel D; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Hamm B; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Keller S; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
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Źródło:
PloS one [PLoS One] 2023 Nov 29; Vol. 18 (11), pp. e0294693. Date of Electronic Publication: 2023 Nov 29 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Diffusion Tensor Imaging*/methods
Magnetic Resonance Imaging*
Humans ; Male ; Adolescent ; Diffusion Magnetic Resonance Imaging ; Lumbar Vertebrae ; Muscles ; Anisotropy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A novel clinically significant prostate cancer prediction system with multiparametric MRI and PSA: P.Z.A. score.
Autorzy:
Chen Z; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.
Zhang J; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.
Jin D; Department of Anesthesiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Wei X; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.
Qiu F; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.
Wang X; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Zhao X; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.
Pu J; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.; Department of Urology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215000, China.
Hou J; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China.; Department of Urology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215000, China.
Huang Y; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China. .
Huang C; Department of Urology, The First Affiliated Hospital of Soochow University, 899 pinghai road, Suzhou, 215006, China. .
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Źródło:
BMC cancer [BMC Cancer] 2023 Nov 23; Vol. 23 (1), pp. 1138. Date of Electronic Publication: 2023 Nov 23.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Male ; Humans ; Prostate-Specific Antigen/analysis ; Retrospective Studies ; Nomograms ; Magnetic Resonance Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging.
Autorzy:
Chen Z; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Hua S; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gao J; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Chen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gong Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tang X; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Emu Y; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Jin W; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hu C; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China. .
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Nov 23; Vol. 25 (1), pp. 68. Date of Electronic Publication: 2023 Nov 23.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Artifacts*
Humans ; Image Enhancement/methods ; Retrospective Studies ; Stroke Volume ; Image Interpretation, Computer-Assisted/methods ; Algorithms ; Predictive Value of Tests ; Reproducibility of Results ; Ventricular Function, Left ; Neural Networks, Computer ; Magnetic Resonance Imaging, Cine
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The Role of Multiparametric MRI in Diagnosing and Grading Glioma.
Autorzy:
Szekeres D; School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
Jetty SN; Department of Radiology, University of Rochester, Rochester, NY, USA.
Soni N; Department of Radiology, University of Rochester, Rochester, NY, USA.
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Źródło:
Neurology India [Neurol India] 2023 Nov-Dec; Vol. 71 (6), pp. 1274-1275.
Typ publikacji:
Letter
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Glioma*/diagnostic imaging
Brain Neoplasms*/diagnostic imaging
Humans ; Magnetic Resonance Imaging ; Neoplasm Grading ; Retrospective Studies
Opinia redakcyjna
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Multiparametric MRI-based model for prediction of local progression of hepatocellular carcinoma after thermal ablation.
Autorzy:
Chen C; Department of Minimal Invasive Intervention Radiology, Ganzhou People's Hospital, Ganzhou, China.
Han Q; Department of Cardiology, The First Affiliated Hospital of Jinan university, Guanghzhou, China.
Ren H; Department of Ultrasound, The Six Medical Center of Chinese PLA General Hospital, Beijing, China.
Wu S; Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guanghzhou, China.
Li Y; Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guanghzhou, China.
Guo J; Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guanghzhou, China.
Li X; Department of Minimal Invasive Intervention Radiology, Ganzhou People's Hospital, Ganzhou, China.
Liu X; Department of Minimal Invasive Intervention Radiology, Ganzhou People's Hospital, Ganzhou, China.
Li C; Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guanghzhou, China.
Tian Y; Department of Minimal Invasive Intervention Radiology, Ganzhou People's Hospital, Ganzhou, China.
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Źródło:
Cancer medicine [Cancer Med] 2023 Sep; Vol. 12 (17), pp. 17529-17540. Date of Electronic Publication: 2023 Sep 11.
Typ publikacji:
Journal Article
MeSH Terms:
Carcinoma, Hepatocellular*/diagnostic imaging
Carcinoma, Hepatocellular*/surgery
Multiparametric Magnetic Resonance Imaging*
Liver Neoplasms*/diagnostic imaging
Liver Neoplasms*/surgery
Humans ; Magnetic Resonance Imaging/methods ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Interventional cardiovascular magnetic resonance: state-of-the-art.
Autorzy:
Rogers T; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA. .; Section of Interventional Cardiology, MedStar Washington Hospital Center, 110 Irving St NW, Suite 4B01, Washington, DC, 20011, USA. .
Campbell-Washburn AE; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Ramasawmy R; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Yildirim DK; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Bruce CG; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Grant LP; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Stine AM; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Kolandaivelu A; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.; Johns Hopkins Hospital, Baltimore, MD, USA.
Herzka DA; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.
Ratnayaka K; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA.; Rady Children's Hospital, San Diego, CA, USA.
Lederman RJ; Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Building 10/Room 2C713, 9000 Rockville Pike, Bethesda, MD, 20892-1538, USA. .
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Aug 14; Vol. 25 (1), pp. 48. Date of Electronic Publication: 2023 Aug 14.
Typ publikacji:
Journal Article; Review; Research Support, N.I.H., Intramural
MeSH Terms:
Cardiac Catheterization*
Magnetic Resonance Imaging, Interventional*
Humans ; Predictive Value of Tests ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer.
Autorzy:
Børretzen A; Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway. .; Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway. .
Reisæter LAR; Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Ringheim A; Department of Radiology, Haukeland University Hospital, Bergen, Norway.; Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Gravdal K; Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway.
Haukaas SA; Department of Urology, Haukeland University Hospital, Bergen, Norway.
Fasmer KE; Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Haldorsen IHS; Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Beisland C; Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Urology, Haukeland University Hospital, Bergen, Norway.
Akslen LA; Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.; Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway.
Halvorsen OJ; Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 20; Vol. 13 (1), pp. 17949. Date of Electronic Publication: 2023 Oct 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/pathology
Male ; Humans ; Magnetic Resonance Imaging/methods ; Nestin ; Ki-67 Antigen ; Disease Progression ; Cell Proliferation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques.
Autorzy:
Vijithananda SM; Department of Radiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Jayatilake ML; Department of Radiography/Radiotherapy, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya, 20400, Sri Lanka. .
Gonçalves TC; Department of Informatics, University of Évora, 7000, Évora, Portugal.
Rato LM; Department of Informatics, University of Évora, 7000, Évora, Portugal.
Weerakoon BS; Department of Radiography/Radiotherapy, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Kalupahana TD; Department of Computer Engineering, Faculty of Engineering, University of Sri Jayawardhanapura, Dehiwala-Mount Lavinia, Sri Lanka.
Silva AD; Department of Radiology, National Hospital of Sri Lanka, Colombo 10, 01000, Sri Lanka.
Dissanayake K; Department of Histopathology, National Hospital of Sri Lanka, Colombo 10, 01000, Sri Lanka.
Hewavithana PB; Department of Radiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
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Źródło:
Scientific reports [Sci Rep] 2023 Sep 22; Vol. 13 (1), pp. 15772. Date of Electronic Publication: 2023 Sep 22.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Magnetic Resonance Imaging*
Glioma*/diagnostic imaging
Humans ; Diffusion Magnetic Resonance Imaging ; Neuroimaging ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4).
Autorzy:
Heo D; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Lee J; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yoo RE; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. .; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea. .
Choi SH; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. .; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea. .; Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Republic of Korea. .; School of Chemical and Biological Engineering, Seoul National University, 1, Gwanak-Ro, Gwanak-Gu, Seoul, 302-909, Republic of Korea. .
Kim TM; Department of Internal Medicine, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Park CK; Department of Neurosurgery, Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Park SH; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Won JK; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Lee JH; Department of Radiation Oncology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Lee ST; Department of Neurology, Seoul National University College of Medicine, Seoul, Korea.
Choi KS; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea.
Lee JY; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea.
Hwang I; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea.
Kang KM; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea.
Yun TJ; Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-Gu, Seoul, 03080, Republic of Korea.
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Źródło:
Scientific reports [Sci Rep] 2023 Aug 24; Vol. 13 (1), pp. 13864. Date of Electronic Publication: 2023 Aug 24.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Glioma*/diagnostic imaging
Multiparametric Magnetic Resonance Imaging*
Humans ; Adult ; Magnetic Resonance Imaging ; Magnetic Resonance Angiography
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A prospective study of the prostate health index density and multiparametric magnetic resonance imaging in diagnosing clinically significant prostate cancer.
Autorzy:
Chen Y; Department of Urology, Peking University First Hospital, Beijing, China.; Institute of Urology, Peking University, Beijing, China.; National Urological Cancer Center of China, Beijing, China.; Department of Radiology, Peking University First Hospital, Beijing, China.
Xu D; Department of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Ruan M; Department of Urology, Peking University First Hospital, Beijing, China.; Institute of Urology, Peking University, Beijing, China.; National Urological Cancer Center of China, Beijing, China.
Li H; Department of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Lin G; Department of Urology, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
Song G; Department of Urology, Peking University First Hospital, Beijing, China.; Institute of Urology, Peking University, Beijing, China.; National Urological Cancer Center of China, Beijing, China.; Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. .
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Źródło:
Investigative and clinical urology [Investig Clin Urol] 2023 Jul; Vol. 64 (4), pp. 363-372.
Typ publikacji:
Journal Article
MeSH Terms:
Prostatic Neoplasms*/pathology
Multiparametric Magnetic Resonance Imaging*
Male ; Humans ; Prostate-Specific Antigen ; Prostate/diagnostic imaging ; Prostate/pathology ; Prospective Studies ; Magnetic Resonance Imaging ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone.
Autorzy:
Özer H; Department of Radiology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Koplay M; Department of Radiology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Baytok A; Department of Radiology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Seher N; Department of Radiology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Demir LS; Department of Public Health, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey.
Kılınçer A; Department of Radiology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Kaynar M; Department of Urology, Faculty of Medicine, Selcuk University, Konya, Turkey.
Göktaş S; Department of Urology, Faculty of Medicine, Selcuk University, Konya, Turkey.
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Źródło:
Turkish journal of medical sciences [Turk J Med Sci] 2023 Jun; Vol. 53 (3), pp. 701-711. Date of Electronic Publication: 2023 Jun 19.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*/methods
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Male ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Prostate/diagnostic imaging ; Prostate/pathology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Multiparametric mapping by cardiovascular magnetic resonance imaging in cardiac tumors.
Autorzy:
Yue P; Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xu Z; Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wan K; Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tan Y; West China School of Public Health, Sichuan University, Chengdu, China.
Xu Y; Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Xie X; Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Mui D; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Yi C; Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Han Y; Cardiovascular Division, Wexner Medical Center, The Ohio State University, Columbus, OH, USA.
Chen Y; Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China. .
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Jun 22; Vol. 25 (1), pp. 37. Date of Electronic Publication: 2023 Jun 22.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging, Cine*
Heart Neoplasms*/diagnostic imaging
Humans ; Case-Control Studies ; Predictive Value of Tests ; Myocardium/pathology ; Magnetic Resonance Imaging ; Contrast Media
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Diffusion Weighted Imaging Super-Resolution Algorithm for Highly Sparse Raw Data Sequences.
Autorzy:
Malczewski K; Institute of Information Technology, Warsaw University of Life Sciences, 159 Nowoursynowska, 02776 Warsaw, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 19; Vol. 23 (12). Date of Electronic Publication: 2023 Jun 19.
Typ publikacji:
Journal Article
MeSH Terms:
Diffusion Magnetic Resonance Imaging*/methods
Data Compression*/methods
Algorithms ; Magnetic Resonance Imaging/methods ; Image Interpretation, Computer-Assisted/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Predicting lymphovascular invasion in rectal cancer: evaluating the performance of golden-angle radial sparse parallel MRI for rectal perfusion assessment.
Autorzy:
Fan Y; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No.32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, People's Republic of China.
Chen M; MR Scientific Marketing, Siemens Healthineers, Shanghai, China.
Huang H; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No.32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, People's Republic of China.
Zhou M; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No.32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, People's Republic of China. .
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Źródło:
Scientific reports [Sci Rep] 2023 May 25; Vol. 13 (1), pp. 8453. Date of Electronic Publication: 2023 May 25.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Rectal Neoplasms*/diagnostic imaging
Humans ; Diffusion Magnetic Resonance Imaging/methods ; Rectum ; Perfusion ; Contrast Media ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Discriminant Efficacy of mpMRI for Variant Pathology Associated with Prostate Adenocarcinoma.
Autorzy:
Köseoğlu H; o Health Sciences University, Hamidiye Faculty of Medicine, Istanbul Health Practice and Research Center, Department of Urology, Istanbul, Turkey. .
Çevik Cenkeri H; o Okan University, Faculty of Medicine, Department of Radiology, Turkey. .
Eroğlu T; o Semdinli State Hospital, Department of Urology, Hakkari, Turkey. .
Yalçın B; o Health Sciences University, Hamidiye Faculty of Medicine, Istanbul Health Practice and Research Center, Department of Radiation Oncology, Istanbul, Turkey. .
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Źródło:
Urology journal [Urol J] 2023 May 21; Vol. 20 (3), pp. 157-161. Date of Electronic Publication: 2023 May 21.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*/methods
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/surgery
Prostatic Neoplasms*/pathology
Adenocarcinoma*/diagnostic imaging
Adenocarcinoma*/surgery
Adenocarcinoma*/pathology
Male ; Humans ; Prostate/pathology ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Prostatectomy/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI.
Autorzy:
Palombo M; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK. .; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK. .; School of Computer Science and Informatics, Cardiff University, Cardiff, UK. .
Valindria V; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Singh S; Centre for Medical Imaging, University College London, London, UK.
Chiou E; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Giganti F; Division of Surgery and Interventional Science, University College London, London, UK.; Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.
Pye H; Molecular Diagnostics and Therapeutics Group, Division of Surgery & Interventional Science, University College London, London, UK.
Whitaker HC; Molecular Diagnostics and Therapeutics Group, Division of Surgery & Interventional Science, University College London, London, UK.
Atkinson D; Centre for Medical Imaging, University College London, London, UK.
Punwani S; Centre for Medical Imaging, University College London, London, UK.
Alexander DC; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Panagiotaki E; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
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Źródło:
Scientific reports [Sci Rep] 2023 Feb 21; Vol. 13 (1), pp. 2999. Date of Electronic Publication: 2023 Feb 21.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Prostatic Neoplasms*/pathology
Multiparametric Magnetic Resonance Imaging*
Male ; Humans ; Magnetic Resonance Imaging ; Prostate/pathology ; Diffusion Magnetic Resonance Imaging ; Neoplasm Grading
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A prostate biopsy risk calculator based on MRI: development and comparison of the Prospective Loyola University multiparametric MRI (PLUM) and Prostate Biopsy Collaborative Group (PBCG) risk calculators.
Autorzy:
Patel HD; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.; Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Koehne EL; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.
Shea SM; Department of Radiology, Loyola University Medical Center, Maywood, IL, USA.
Fang AM; Department of Urology, University of Alabama at Birmingham, Birmingham, AL, USA.
Gerena M; Department of Radiology, Loyola University Medical Center, Maywood, IL, USA.
Gorbonos A; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.
Quek ML; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.
Flanigan RC; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.
Goldberg A; Department of Radiology, Loyola University Medical Center, Maywood, IL, USA.
Rais-Bahrami S; Department of Urology, University of Alabama at Birmingham, Birmingham, AL, USA.; Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Gupta GN; Department of Urology, Loyola University Medical Center, Maywood, IL, USA.; Department of Radiology, Loyola University Medical Center, Maywood, IL, USA.; Department of Surgery, Loyola University Medical Center, Maywood, IL, USA.
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Źródło:
BJU international [BJU Int] 2023 Feb; Vol. 131 (2), pp. 227-235. Date of Electronic Publication: 2022 Jul 11.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*/methods
Prostatic Neoplasms*/pathology
Prunus domestica*
Male ; Humans ; Magnetic Resonance Imaging/methods ; Prostate/diagnostic imaging ; Prostate/pathology ; Prospective Studies ; Universities ; Biopsy ; Prostate-Specific Antigen
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas.
Autorzy:
de Godoy LL; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Mohan S; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Wang S; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Nasrallah MP; Clinical Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Sakai Y; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
O'Rourke DM; Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Bagley S; Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Desai A; Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Loevner LA; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Poptani H; Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
Chawla S; Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. .
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Źródło:
Journal of translational medicine [J Transl Med] 2023 Apr 28; Vol. 21 (1), pp. 287. Date of Electronic Publication: 2023 Apr 28.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Glioblastoma*/pathology
Multiparametric Magnetic Resonance Imaging*
Brain Neoplasms*/pathology
Humans ; Disease Progression ; Magnetic Resonance Imaging ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation.
Autorzy:
Buoso S; Institute for Biomedical Engineering, ETH Zurich and University Zurich, Zurich, Switzerland. .
Joyce T; Institute for Biomedical Engineering, ETH Zurich and University Zurich, Zurich, Switzerland.
Schulthess N; Institute for Biomedical Engineering, ETH Zurich and University Zurich, Zurich, Switzerland.
Kozerke S; Institute for Biomedical Engineering, ETH Zurich and University Zurich, Zurich, Switzerland.
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Apr 20; Vol. 25 (1), pp. 25. Date of Electronic Publication: 2023 Apr 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Ventricular Function, Left*
Magnetic Resonance Imaging*
Humans ; Predictive Value of Tests ; Heart ; Heart Ventricles/diagnostic imaging ; Magnetic Resonance Imaging, Cine/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Usefulness of intravoxel incoherent motion MRI for visualizing slow cerebrospinal fluid motion.
Autorzy:
Yamada S; Department of Neurosurgery, Nagoya City University Graduate School of Medical Science, 1 Kawasumi, Mizuho-Cho, Mizuho-Ku, Nagoya, Aichi, 467-8601, Japan. .; Department of Neurosurgery, Shiga University of Medical Science, Shiga, Japan. .; Normal Pressure Hydrocephalus Center, Rakuwakai Otowa Hospital, Kyoto, Japan. .; Interfaculty Initiative in Information Studies/Institute of Industrial Science, The University of Tokyo, Tokyo, Japan. .
Hiratsuka S; Department of Radiology, Shiga University of Medical Science, Shiga, Japan.
Otani T; Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Ii S; Faculty of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Wada S; Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Oshima M; Interfaculty Initiative in Information Studies/Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Nozaki K; Department of Neurosurgery, Shiga University of Medical Science, Shiga, Japan.
Watanabe Y; Department of Radiology, Shiga University of Medical Science, Shiga, Japan.
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Źródło:
Fluids and barriers of the CNS [Fluids Barriers CNS] 2023 Mar 10; Vol. 20 (1), pp. 16. Date of Electronic Publication: 2023 Mar 10.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Hydrocephalus*
Humans ; Diffusion Magnetic Resonance Imaging/methods ; Brain ; Lateral Ventricles ; Motion
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-25 z 488562

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