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Tytuł:
Adding automated decision-tree models to multiparametric MRI for parotid tumours improves clinical performance.
Autorzy:
Graber M; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France.
Cadour F; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France.
El Ahmadi AA; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France.
Khati I; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France.
Del Grande J; Department of Anatomopathology, Timone Hospital, Aix-Marseille Univ, Marseille, France.
Chagnaud C; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France; CNRS-Aix-Marseille University, CRMBM (UMR73-39), Marseille, France.
Fakhry N; Department of Head and Neck Surgery, Conception Hospital, Aix-Marseille Univ, Marseille, France.
Guye M; CNRS-Aix-Marseille University, CRMBM (UMR73-39), Marseille, France.
Varoquaux A; Department of Radiology, Conception Hospital, Aix-Marseille Univ, Marseille, France; CNRS-Aix-Marseille University, CRMBM (UMR73-39), Marseille, France. Electronic address: .
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Źródło:
European journal of radiology [Eur J Radiol] 2023 Sep; Vol. 166, pp. 110999. Date of Electronic Publication: 2023 Jul 20.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Parotid Neoplasms*/diagnostic imaging
Humans ; Diagnosis, Differential ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging/methods ; Decision Trees ; Retrospective Studies ; Contrast Media
Czasopismo naukowe
Szczegóły
Tytuł:
Value of multiparametric magnetic resonance imaging for evaluating chronic kidney disease and renal fibrosis.
Autorzy:
Hua C; Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.; Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Qiu L; Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Zhou L; Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Zhuang Y; Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Cai T; Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Xu B; Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Hao S; Siemens Healthineers Digital Technology (Shanghai) CO., Ltd, Shanghai, China.
Fang X; Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
Wang L; Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China. wangliang_.
Jiang H; Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China. .
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Źródło:
European radiology [Eur Radiol] 2023 Aug; Vol. 33 (8), pp. 5211-5221. Date of Electronic Publication: 2023 May 06.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Renal Insufficiency, Chronic*/diagnostic imaging
Renal Insufficiency, Chronic*/pathology
Humans ; Prospective Studies ; Kidney/diagnostic imaging ; Kidney/pathology ; Magnetic Resonance Imaging ; Diffusion Magnetic Resonance Imaging/methods ; Fibrosis
Czasopismo naukowe
Szczegóły
Tytuł:
Endometrioid adenocarcinoma: combined multiparametric MRI and tumour marker HE4 to evaluate tumour grade and lymphovascular space invasion.
Autorzy:
Yue XN; Department of CT/MRI, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China.
He XY; Department of CT/MRI, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China.
Wu JJ; Department of CT/MRI, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China.
Fan W; Department of CT/MRI, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China.
Zhang HJ; Department of Pathology, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China.
Wang CW; Department of CT/MRI, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, 832000, China. Electronic address: .
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Źródło:
Clinical radiology [Clin Radiol] 2023 Aug; Vol. 78 (8), pp. e574-e581. Date of Electronic Publication: 2023 Apr 29.
Typ publikacji:
Journal Article
MeSH Terms:
Carcinoma, Endometrioid*/diagnostic imaging
Multiparametric Magnetic Resonance Imaging*
Female ; Humans ; Middle Aged ; Biomarkers, Tumor ; Diffusion Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/methods ; Retrospective Studies ; Adult ; Aged
Czasopismo naukowe
Szczegóły
Tytuł:
Multiparametric MRI of Solid Renal Masses: Principles and Applications of Advanced Quantitative and Functional Methods for Tumor Diagnosis and Characterization.
Autorzy:
Laothamatas I; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Al Mubarak H; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Reddy A; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Wax R; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Badani K; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Taouli B; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bane O; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Lewis S; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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Źródło:
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2023 Aug; Vol. 58 (2), pp. 342-359. Date of Electronic Publication: 2023 Apr 13.
Typ publikacji:
Journal Article; Review; Research Support, Non-U.S. Gov't
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Carcinoma, Renal Cell*/diagnostic imaging
Kidney Neoplasms*/diagnostic imaging
Humans ; Contrast Media ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging/methods ; Motion
Czasopismo naukowe
Szczegóły
Tytuł:
Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
Autorzy:
Chen Y; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Tang W; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Liu W; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Li R; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Wang Q; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.; Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shen X; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Gong J; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Gu Y; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Peng W; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Źródło:
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2023 Aug; Vol. 58 (2), pp. 444-453. Date of Electronic Publication: 2022 Nov 28.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Breast Neoplasms*/diagnostic imaging
Breast Neoplasms*/genetics
Multiparametric Magnetic Resonance Imaging*/methods
Humans ; Female ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
Are T2WI PI-RADS sub-scores of transition zone prostate lesions biased by DWI information? A multi-reader, single-center study.
Autorzy:
Zhang KS; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mayer P; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
Glemser PA; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Tavakoli AA; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany.
Keymling M; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Rotkopf LT; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Meinzer C; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Görtz M; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany; Junior Clinical Cooperation Unit 'Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Kauczor HU; Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
Hielscher T; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center, Heidelberg, Germany.
Bonekamp D; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Germany; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany; Heidelberg University Medical School, Heidelberg, Germany. Electronic address: .
Hohenfellner M; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.
Schlemmer HP; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Germany; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany.
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Źródło:
European journal of radiology [Eur J Radiol] 2023 Oct; Vol. 167, pp. 111026. Date of Electronic Publication: 2023 Aug 06.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Male ; Humans ; Prostate/diagnostic imaging ; Retrospective Studies ; Diffusion Magnetic Resonance Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
Diagnostic accuracy of intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) MRI to differentiate benign from malignant breast lesions: A systematic review and meta-analysis.
Autorzy:
Arian A; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran; Cancer Research Institute, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Seyed-Kolbadi FZ; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran; Evidence-Based Medicine Study Center, Hormozgan University of Medical Sciences, Bandar Abass, Iran.
Yaghoobpoor S; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran; Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ghorani H; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran; School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saghazadeh A; Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Ghadimi DJ; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran; School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran. Electronic address: .
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Źródło:
European journal of radiology [Eur J Radiol] 2023 Oct; Vol. 167, pp. 111051. Date of Electronic Publication: 2023 Aug 16.
Typ publikacji:
Meta-Analysis; Systematic Review; Journal Article
MeSH Terms:
Diffusion Magnetic Resonance Imaging*/methods
Contrast Media*
Humans ; Magnetic Resonance Imaging/methods ; Breast/diagnostic imaging ; Sensitivity and Specificity ; Motion
Czasopismo naukowe
Szczegóły
Tytuł:
Multiparametric magnetic resonance imaging for detection of pathological changes in the central nervous system of a mouse model of multiple sclerosis in vivo.
Autorzy:
Althobity AA; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.; Al Azhar Hospital, Riyadh, Saudi Arabia.; Society of Artificial Intelligence in Healthcare, Riyadh, Saudi Arabia.; Department of Radiological Sciences and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudi Arabia.
Khan N; Faculty of Medicine, School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.
Sandrock CJ; Faculty of Medicine, School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.
Woodruff TM; Faculty of Medicine, School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
Cowin GJ; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.; NCRIS Australian National Imaging Facility, The University of Queensland, Brisbane, Australia.
Brereton IM; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.; NCRIS Australian National Imaging Facility, The University of Queensland, Brisbane, Australia.
Kurniawan ND; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
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Źródło:
NMR in biomedicine [NMR Biomed] 2023 Oct; Vol. 36 (10), pp. e4964. Date of Electronic Publication: 2023 May 18.
Typ publikacji:
Journal Article
MeSH Terms:
Multiple Sclerosis*/diagnostic imaging
Multiple Sclerosis*/pathology
Multiparametric Magnetic Resonance Imaging*
Encephalomyelitis, Autoimmune, Experimental*/diagnostic imaging
Encephalomyelitis, Autoimmune, Experimental*/pathology
Mice ; Animals ; Diffusion Tensor Imaging/methods ; Mice, Inbred C57BL ; Spinal Cord/pathology ; Disease Models, Animal ; Magnetic Resonance Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains.
Autorzy:
Patil SS; Department of Chemical Engineering, Indian Institute of Technology, Delhi, New Delhi, India.
Ramteke M; Department of Chemical Engineering, Indian Institute of Technology, Delhi, New Delhi, India.; Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, New Delhi, India.
Verma M; Department of Cardiology, All India Institute of Medical Science, Rishikesh, Uttarakhand, India.
Seth S; Department of Cardiology, All India Institute Medical Science, New Delhi, India.
Bhargava R; Departments of Bioengineering, Electrical & Computer Engineering, Mechanical Science & Engineering, Chemical and Biomolecular Engineering and Chemistry, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Mittal S; Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA. .
Rathore AS; Department of Chemical Engineering, Indian Institute of Technology, Delhi, New Delhi, India. .; Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, New Delhi, India. .
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Źródło:
Journal of digital imaging [J Digit Imaging] 2023 Oct; Vol. 36 (5), pp. 2148-2163. Date of Electronic Publication: 2023 Jul 10.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Heart*/diagnostic imaging
Magnetic Resonance Imaging*/methods
Humans ; Neural Networks, Computer ; Magnetic Resonance Imaging, Cine/methods ; India ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Comparison of the diagnostic performance of biparametric and multiparametric MRI in detecting muscle invasion of bladder cancer located at the ureteral orifice.
Autorzy:
Eryuruk U; Department of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey. .
Tasdemir MN; Department of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey.
Aslan S; Department of Radiology, Faculty of Medicine, Giresun University, Giresun, Turkey.
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Źródło:
Abdominal radiology (New York) [Abdom Radiol (NY)] 2023 Oct; Vol. 48 (10), pp. 3174-3182. Date of Electronic Publication: 2023 Jun 16.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Urinary Bladder Neoplasms*/pathology
Male ; Humans ; Aged ; Retrospective Studies ; Urinary Bladder/pathology ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Free-breathing BLADE fat-suppressed T2 weighted turbo spin echo sequence for distinguishing lung cancer from benign pulmonary nodules or masses: A pilot study.
Autorzy:
Dang S; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Ma G; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Duan H; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Han D; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Yang Q; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Yu N; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Yu Y; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China.
Duan X; The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China. Electronic address: .
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Źródło:
Magnetic resonance imaging [Magn Reson Imaging] 2023 Oct; Vol. 102, pp. 79-85. Date of Electronic Publication: 2023 Jan 02.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Magnetic Resonance Imaging*/methods
Lung Neoplasms*/diagnostic imaging
Male ; Female ; Humans ; Middle Aged ; Pilot Projects ; Retrospective Studies ; Sensitivity and Specificity ; Diffusion Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Functional MRI but not white matter fibre dissection identifies language dominance.
Autorzy:
Al Busaidi A; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. .; Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, Denmark Hill, SE5 9RS, UK. .
Gangemi E; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.; Radiology Department, Ospedale Dei Castelli, Via Nettunense, Km 11,5, 00040, Rome, Italy.
Wastling S; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.; Neuroradiological Academic Unit, Department of Brain, Repair and Rehabilitation, University College London Institute of Neurology, Queen Square, WC1N 3BG, London, UK.
Berg ASVD; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.; Department of Radiology & Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Mancini L; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.; Neuroradiological Academic Unit, Department of Brain, Repair and Rehabilitation, University College London Institute of Neurology, Queen Square, WC1N 3BG, London, UK.
Yousry T; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.; Neuroradiological Academic Unit, Department of Brain, Repair and Rehabilitation, University College London Institute of Neurology, Queen Square, WC1N 3BG, London, UK.
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Źródło:
European radiology [Eur Radiol] 2023 Sep; Vol. 33 (9), pp. 6081-6093. Date of Electronic Publication: 2023 Jul 06.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
White Matter*/diagnostic imaging
White Matter*/pathology
Humans ; Retrospective Studies ; Diffusion Magnetic Resonance Imaging ; Language ; Neural Pathways
Czasopismo naukowe
Szczegóły
Tytuł:
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study.
Autorzy:
Zhang Z; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Li S; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wang W; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhang Y; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wang K; MR Research China, GE Healthcare, Beijing, China.
Cheng J; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wen B; Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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Źródło:
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2023 Sep; Vol. 52 (6), pp. 20230103. Date of Electronic Publication: 2023 Jul 03.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Head and Neck Neoplasms*/diagnostic imaging
Humans ; Retrospective Studies ; Sensitivity and Specificity ; Diffusion Magnetic Resonance Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
The optimized rectal cancer MRI protocol: choosing the right sequences, sequence parameters, and preparatory strategies.
Autorzy:
Fraum TJ; Department of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, Campus, Box 8131, St. Louis, MO, 63110, USA. .
Ma J; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jhaveri K; Department of Medical Imaging, University of Toronto, Toronto, Canada.
Nepal P; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lall C; Department of Radiology, College of Medicine, University of Florida, Jacksonville, FL, USA.
Costello J; Department of Radiology, Moffitt Cancer Center, Tampa, FL, USA.
Harisinghani M; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Źródło:
Abdominal radiology (New York) [Abdom Radiol (NY)] 2023 Sep; Vol. 48 (9), pp. 2771-2791. Date of Electronic Publication: 2023 Mar 10.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Magnetic Resonance Imaging*/methods
Rectal Neoplasms*/pathology
Humans ; Neoplasm Staging ; Diffusion Magnetic Resonance Imaging/methods ; Rectum/pathology
Czasopismo naukowe
Szczegóły
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:
Fetal MRI: what's new? A short review.
Autorzy:
Manganaro L; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy. .
Capuani S; National Research Council (CNR),, Institute for Complex Systems (ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy.
Gennarini M; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Miceli V; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Ninkova R; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Balba I; Siemens Healthcare S.r.l., dARE, Milan, Italy.
Galea N; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Cupertino A; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Maiuro A; National Research Council (CNR),, Institute for Complex Systems (ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy.
Ercolani G; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
Catalano C; Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, Rome, Italy.
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Źródło:
European radiology experimental [Eur Radiol Exp] 2023 Aug 10; Vol. 7 (1), pp. 41. Date of Electronic Publication: 2023 Aug 10.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Magnetic Resonance Imaging*/methods
Pregnancy ; Female ; Humans ; Diffusion Magnetic Resonance Imaging ; Algorithms ; Software
Czasopismo naukowe
Szczegóły
Tytuł:
Lumbar intradural space reduction during the Valsalva maneuver observed using cine MRI and MR myelography: a single-case experimental study.
Autorzy:
Yamakuni R; Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan. .
Seino S; Department of Radiology, Fukushima Medical University Hospital, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Ishii S; Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Ishikawa H; Department of Radiology, Fukushima Medical University Hospital, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Kikori K; Department of Radiology, Fukushima Medical University Hospital, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Ando T; Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Kakamu T; Department of Hygiene and Preventive Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Fukushima K; Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Otani K; Department of Orthopedic Surgery, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
Ito H; Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine, 1 Hikariga-Oka, Fukushima City, Fukushima, 960-1295, Japan.
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Źródło:
Acta neurochirurgica [Acta Neurochir (Wien)] 2023 Aug; Vol. 165 (8), pp. 2111-2120. Date of Electronic Publication: 2023 Jun 21.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging, Cine*
Intervertebral Disc Displacement*/pathology
Humans ; Male ; Adult ; Myelography ; Valsalva Maneuver ; Magnetic Resonance Imaging/methods ; Spinal Canal ; Lumbar Vertebrae/diagnostic imaging ; Lumbar Vertebrae/pathology
Czasopismo naukowe
Szczegóły
Tytuł:
Multiparametric MRI is not sufficient for prostate cancer staging: A single institutional experience validated by a multi-institutional regional collaborative.
Autorzy:
Chandrasekar T; Department of Urology, University of California, Davis, Sacramento, CA. Electronic address: .
Denisenko A; Department of Urology, Einstein Health Network, Philadelphia PA.
Mico V; Department of Internal Medicine, Tufts Medical Center, Boston MA.
McPartland C; Department of Urology, Temple University Hospital, Philadelphia PA.
Shah Y; Department of Urology, Thomas Jefferson University, Philadelphia, PA.
Mark JR; Department of Urology, Thomas Jefferson University, Philadelphia, PA.
Lallas CD; Department of Urology, Thomas Jefferson University, Philadelphia, PA.
Fonshell C; Health Care Improvement Foundation, Philadelphia, PA.
Danella J; Geisinger Medical Center, Danville, PA.
Jacobs B; Department of Urology, University of Pittsburgh, Pittsburgh, PA.
Lanchoney T; Urology Health Specialists, Hershey, PA.
Raman JD; Penn State Milton S. Hershey Medical Center, Hershey, PA.
Tomaszewski J; Department of Urology, Cooper University, Camden, NJ.
Reese A; Department of Urology, Temple University, Philadelphia, PA.
Singer EA; Department of Urology, Ohio State University, Columbus, OH.
Ginzburg S; Department of Urology, Einstein Healthcare Network, Philadelphia, PA.
Smaldone M; Fox Chase Cancer Center, Philadelphia, PA.
Uzzo R; Fox Chase Cancer Center, Philadelphia, PA.
Guzzo TJ; Division of Urology, University of Pennsylvania, Philadelphia, PA.
Trabulsi EJ; Department of Urology, Einstein Healthcare Network, Philadelphia, PA.
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Źródło:
Urologic oncology [Urol Oncol] 2023 Aug; Vol. 41 (8), pp. 355.e1-355.e8. Date of Electronic Publication: 2023 Jun 23.
Typ publikacji:
Multicenter Study; Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/surgery
Prostatic Neoplasms*/pathology
Male ; Humans ; Extranodal Extension ; Neoplasm Staging ; Magnetic Resonance Imaging/methods ; Prostatectomy/methods ; Retrospective Studies
Czasopismo naukowe
Szczegóły
Tytuł:
Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
Autorzy:
Wang X; Department of Breast Imaging, The Affiliated Hospital of Qingdao University, Qingdao, China.
Hua H; Department of Thyroid Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Han J; Department of Breast Imaging, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zhong X; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Liu J; Department of Breast Imaging, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chen J; Department of Breast Imaging, The Affiliated Hospital of Qingdao University, Qingdao, China. Electronic address: .
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Źródło:
Clinical breast cancer [Clin Breast Cancer] 2023 Aug; Vol. 23 (6), pp. e331-e344. Date of Electronic Publication: 2023 May 27.
Typ publikacji:
Journal Article
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*/methods
Breast Neoplasms*/diagnostic imaging
Breast Neoplasms*/drug therapy
Breast Neoplasms*/pathology
Humans ; Female ; Nomograms ; Retrospective Studies ; Neoadjuvant Therapy/methods ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer.
Autorzy:
Xie N; Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Shanghai Key Laboratory of Pancreatic Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fan X; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.; National Center for Translational Medicine (Shanghai), Shanghai, China.
Chen D; Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chen J; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.; National Center for Translational Medicine (Shanghai), Shanghai, China.
Yu H; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.; National Center for Translational Medicine (Shanghai), Shanghai, China.
He M; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.; National Center for Translational Medicine (Shanghai), Shanghai, China.
Liu H; Yizhun Medical AI Technology Co. Ltd., Beijing, China.
Yin X; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.
Li B; Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Shanghai Key Laboratory of Pancreatic Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wang H; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; R & D Center of Medical Artificial Intelligence and Medical Engineering, Shanghai General Hospital, Shanghai, China.; National Center for Translational Medicine (Shanghai), Shanghai, China.; Jiading Branch of Shanghai General Hospital, Shanghai, China.
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Źródło:
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2023 Aug; Vol. 58 (2), pp. 379-391. Date of Electronic Publication: 2022 Nov 25.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Multiparametric Magnetic Resonance Imaging*/methods
Pancreatic Neoplasms*/diagnostic imaging
Pancreatic Neoplasms*/surgery
Humans ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Lymphatic Metastasis ; Machine Learning
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 705062

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