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Tytuł :
Characterizing Fibrosis and Inflammation in a Partial Bile Duct Ligation Mouse Model by Multiparametric Magnetic Resonance Imaging.
Autorzy :
Liu JY; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Cai YY; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Ding ZY; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Zhou ZY; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Lv M; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Liu H; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Zheng LY; MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Li L; Department of Pathology, The Second Xiangya Hospital of Central South University, Changsha, China.
Luo YH; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Xiao EH; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.; Medical Imaging Research Center, Central South University, Changsha, 410008, China.
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Źródło :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2022 Jun; Vol. 55 (6), pp. 1864-1874. Date of Electronic Publication: 2021 Sep 21.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Animals ; Bile Ducts/diagnostic imaging ; Bile Ducts/surgery ; Diffusion Magnetic Resonance Imaging ; Disease Models, Animal ; Fibrosis ; Humans ; Inflammation/diagnostic imaging ; Magnetic Resonance Imaging ; Mice ; Prospective Studies
Czasopismo naukowe
Tytuł :
Development and characterization of a rat brain metastatic tumor model by multiparametric magnetic resonance imaging and histomorphology.
Autorzy :
Wang S; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
Chen L; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
Feng Y; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
Yin T; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.; MR Collaborations, Siemens Healthineers Ltd, Shanghai, China.
Yu J; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
De Keyzer F; Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Peeters R; Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Van Ongeval C; Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Bormans G; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
Swinnen J; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.
Soete J; KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, 3001, Leuven, Belgium.
Wevers M; KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, 3001, Leuven, Belgium.
Li Y; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium. liy_.; Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China. liy_.
Ni Y; KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium. .; Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium. .
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Źródło :
Clinical & experimental metastasis [Clin Exp Metastasis] 2022 Jun; Vol. 39 (3), pp. 479-493. Date of Electronic Publication: 2022 Feb 26.
Typ publikacji :
Journal Article
MeSH Terms :
Brain Neoplasms*/diagnostic imaging
Multiparametric Magnetic Resonance Imaging*
Animals ; Brain ; Diffusion Magnetic Resonance Imaging ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Rats
Czasopismo naukowe
Tytuł :
Multiparametric magnetic resonance imaging for differentiating active from inactive thyroid-associated ophthalmopathy: Added value from magnetization transfer imaging.
Autorzy :
Hu H; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chen L; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhou J; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chen W; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chen HH; Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhang JL; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hsu YC; MR Collaboration, Siemens Healthcare Ltd., Shanghai, China.
Xu XQ; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: .
Wu FY; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: .
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Źródło :
European journal of radiology [Eur J Radiol] 2022 Jun; Vol. 151, pp. 110295. Date of Electronic Publication: 2022 Apr 06.
Typ publikacji :
Journal Article
MeSH Terms :
Graves Ophthalmopathy*/diagnostic imaging
Graves Ophthalmopathy*/pathology
Multiparametric Magnetic Resonance Imaging*
Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging/methods ; Oculomotor Muscles/pathology ; Orbit/pathology
Czasopismo naukowe
Tytuł :
Multiparametric MRI-based radiomics analysis: differentiation of subtypes of cervical cancer in the early stage.
Autorzy :
Wang W; Department of Radiology, Fudan University Shanghai Cancer Center (FUSCC), Shanghai, PR China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.
Jiao Y; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Zhang L; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Fu C; MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, PR China.
Zhu X; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.; Department of Pathology, Fudan University Shanghai Cancer Center (FUSCC), Shanghai, PR China.
Wang Q; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Gu Y; Department of Radiology, Fudan University Shanghai Cancer Center (FUSCC), Shanghai, PR China.; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.
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Źródło :
Acta radiologica (Stockholm, Sweden : 1987) [Acta Radiol] 2022 Jun; Vol. 63 (6), pp. 847-856. Date of Electronic Publication: 2021 May 11.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Squamous Cell*
Multiparametric Magnetic Resonance Imaging*
Uterine Cervical Neoplasms*/diagnostic imaging
Diffusion Magnetic Resonance Imaging ; Female ; Humans ; Magnetic Resonance Imaging ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Detecting the muscle invasiveness of bladder cancer: An application of diffusion kurtosis imaging and tumor contact length.
Autorzy :
Li Q; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Cao B; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Liu K; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
Sun H; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Ding Y; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Yan C; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
Wu PY; GE Healthcare, MR Research China, Beijing, China.
Dai C; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Rao S; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Zeng M; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiang S; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Urology, Zhongshan Hospital Wusong Branch, Fudan University, Shanghai, China.
Zhou J; Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Xiamen Branch, Zhongshan Hospital, Fudan University, Fujian Province, China. Electronic address: .
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Źródło :
European journal of radiology [Eur J Radiol] 2022 Jun; Vol. 151, pp. 110329. Date of Electronic Publication: 2022 Apr 22.
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Urinary Bladder Neoplasms*/diagnostic imaging
Urinary Bladder Neoplasms*/surgery
Diffusion Magnetic Resonance Imaging ; Diffusion Tensor Imaging ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Muscles ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Diagnostic accuracy and discriminative power of biparametric versus multiparametric MRI in predicting muscle-invasive bladder cancer.
Autorzy :
Elshetry ASF; Radio-diagnosis Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt. Electronic address: .
El-Fawakry RM; Radio-diagnosis Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Hamed EM; Radio-diagnosis Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Metwally MI; Radio-diagnosis Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Zaid NA; Radio-diagnosis Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
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Źródło :
European journal of radiology [Eur J Radiol] 2022 Jun; Vol. 151, pp. 110282. Date of Electronic Publication: 2022 Mar 30.
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Urinary Bladder Neoplasms*/diagnostic imaging
Urinary Bladder Neoplasms*/pathology
Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Muscles/pathology ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI.
Autorzy :
Soni M; Senior IEEE Member, Bhopal, India.
Khan IR; Academician, Jamia Hamdard Delhi, Delhi, India.
Babu KS; Department of Biochemistry, Symbiosis Medical College for Women, Symbiosis International (Deemed University), Pune, India.
Nasrullah S; Department of Information Systems, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Madduri A; Engineering Management, Duke University, NC, Durham, USA.
Rahin SA; CSE College, United International University, Dhaka, Bangladesh.
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Źródło :
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 28; Vol. 2022, pp. 5497120. Date of Electronic Publication: 2022 May 28 (Print Publication: 2022).
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Delivery of Health Care ; Diffusion Magnetic Resonance Imaging ; Humans ; Learning ; Magnetic Resonance Imaging/methods ; Male
Czasopismo naukowe
Tytuł :
Analysis of the cause of missed diagnosis in mpMRI/TRUS fusion-guided targeted prostate biopsy.
Autorzy :
Zhang F; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Zhang S; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Huang H; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Zhang Q; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Zhang S; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Zhang S; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. .
Guo H; Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. .
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Źródło :
BMC urology [BMC Urol] 2022 May 06; Vol. 22 (1), pp. 74. Date of Electronic Publication: 2022 May 06.
Typ publikacji :
Journal Article
MeSH Terms :
Magnetic Resonance Imaging, Interventional*/methods
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/pathology
Humans ; Image-Guided Biopsy/methods ; Magnetic Resonance Imaging/methods ; Male ; Missed Diagnosis ; Prospective Studies ; Prostate/diagnostic imaging ; Prostate/pathology ; Retrospective Studies ; Ultrasonography, Interventional/methods
Czasopismo naukowe
Tytuł :
VI-RADS score system - A primer for urologists.
Autorzy :
Nicola R; Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Pecoraro M; Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy.
Lucciola S; Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy.
Dos Reis RB; Departamento de Cirurgia, Divisão de Urologia - Faculdade de Medicina de Ribeirão Preto - USP, Ribeirão Preto, SP, Brasil.
Narumi Y; Department of Health Care, Kyoto Tachibana, Kyoto, Japan.
Panebianco V; Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy.
Muglia VF; Departamento de Imagens Médicas, Oncologia e Hematologia - Divisão de Imagem, Faculdade de Medicina de Ribeirão Preto - USP, Ribeirão Preto, SP, Brasil.
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Źródło :
International braz j urol : official journal of the Brazilian Society of Urology [Int Braz J Urol] 2022 Jul-Aug; Vol. 48 (4), pp. 609-622.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Urinary Bladder Neoplasms*/diagnostic imaging
Urinary Bladder Neoplasms*/pathology
Humans ; Magnetic Resonance Imaging/methods ; Neoplasm Recurrence, Local/pathology ; Urinary Bladder/pathology ; Urologists
Czasopismo naukowe
Tytuł :
Partially fluorinated nanoemulsions for F MRI-fluorescence dual imaging cell tracking.
Autorzy :
Chen K; Group of Lead Compound, Department of Pharmacy, Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, China; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
Wu T; Group of Lead Compound, Department of Pharmacy, Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, China; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
Jiang M; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China.
Li A; Group of Lead Compound, Department of Pharmacy, Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, China; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
Peng X; Group of Lead Compound, Department of Pharmacy, Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, China; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
Chen S; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China.
Yang Z; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
Zhou X; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China.
Zheng X; Group of Lead Compound, Department of Pharmacy, Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, China. Electronic address: .
Jiang ZX; Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430071, China. Electronic address: .
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Źródło :
Colloids and surfaces. B, Biointerfaces [Colloids Surf B Biointerfaces] 2022 Jul; Vol. 215, pp. 112493. Date of Electronic Publication: 2022 Apr 11.
Typ publikacji :
Journal Article
MeSH Terms :
Fluorine-19 Magnetic Resonance Imaging*/methods
Fluorocarbons*/chemistry
Cell Tracking ; Fluorescent Dyes ; Fluorides ; Fluorine/chemistry ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Tytuł :
Cost-Effectiveness Analysis and Microsimulation of Serial Multiparametric Magnetic Resonance Imaging in Active Surveillance of Localized Prostate Cancer.
Autorzy :
Magnani CJ; School of Medicine, Stanford University, Stanford, California.; Stanford Health Policy, Centers for Health Policy/Primary Care and Outcomes Research, Stanford University, Stanford, California.; Division of Urological Surgery, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Hernandez-Boussard T; Department of Medicine, School of Medicine, Stanford University, Stanford, California.
Baker LC; Stanford Health Policy, Centers for Health Policy/Primary Care and Outcomes Research, Stanford University, Stanford, California.; Department of Medicine, School of Medicine, Stanford University, Stanford, California.
Goldhaber-Fiebert JD; Stanford Health Policy, Centers for Health Policy/Primary Care and Outcomes Research, Stanford University, Stanford, California.; Department of Medicine, School of Medicine, Stanford University, Stanford, California.
Brooks JD; Department of Urology, Stanford University, Stanford, California.
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Źródło :
The Journal of urology [J Urol] 2022 Jul; Vol. 208 (1), pp. 80-89. Date of Electronic Publication: 2022 Feb 25.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/therapy
Cost-Benefit Analysis ; Humans ; Image-Guided Biopsy/methods ; Magnetic Resonance Imaging/methods ; Male ; Prospective Studies ; Watchful Waiting
Czasopismo naukowe
Tytuł :
mEPE-score: a comprehensive grading system for predicting pathologic extraprostatic extension of prostate cancer at multiparametric magnetic resonance imaging.
Autorzy :
Gatti M; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy. .
Faletti R; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
Gentile F; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
Soncin E; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
Calleris G; Urology Unit, Department of Surgical Sciences, University of Turin, Turin, Italy.
Fornari A; Radiology Unit, Mauriziano Umberto I Hospital, 10128, Turin, Italy.
Oderda M; Urology Unit, Department of Surgical Sciences, University of Turin, Turin, Italy.
Serafini A; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
Strazzarino GA; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
Vissio E; Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy.
Bergamasco L; Department of Medical Sciences, University of Turin, Turin, Italy.
Cirillo S; Radiology Unit, Mauriziano Umberto I Hospital, 10128, Turin, Italy.
Papotti MG; Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy.
Gontero P; Urology Unit, Department of Surgical Sciences, University of Turin, Turin, Italy.
Fonio P; Department of Surgical Sciences, Radiology Unit, University of Turin, Via Genova 3, 10126, Turin, Italy.
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Źródło :
European radiology [Eur Radiol] 2022 Jul; Vol. 32 (7), pp. 4942-4953. Date of Electronic Publication: 2022 Mar 15.
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/pathology
Extracellular Matrix Proteins ; Glycoproteins ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Neoplasm Grading ; Phosphoproteins ; Prostatectomy/methods ; Retrospective Studies
Czasopismo naukowe
Tytuł :
MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors.
Autorzy :
Jian J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.; Jinan Guoke Medical Engineering and Technology Development Co., Ltd., Jinan, China.
Li Y; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
Xia W; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
He Z; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhang R; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Li H; Department of Radiology, Cancer Hospital, Fudan University, Shanghai, China.
Zhao X; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Zhao S; Department of Radiology, Xinhua Hospital, Medical College of Shanghai Jiao Tong University, Shanghai, China.
Zhang J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Cai S; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wu X; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Gao X; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.; Jinan Guoke Medical Engineering and Technology Development Co., Ltd., Jinan, China.; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, China.
Qiang J; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
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Źródło :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2022 Jul; Vol. 56 (1), pp. 173-181. Date of Electronic Publication: 2021 Nov 29.
Typ publikacji :
Journal Article
MeSH Terms :
Magnetic Resonance Imaging*/methods
Ovarian Neoplasms*/diagnostic imaging
Adult ; Diffusion Magnetic Resonance Imaging/methods ; Female ; Humans ; Middle Aged ; Neural Networks, Computer ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Added Value of Quantitative Analysis of Diffusion-Weighted Imaging in Ovarian-Adnexal Reporting and Data System Magnetic Resonance Imaging.
Autorzy :
Hottat NA; Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.; Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Belgium.
Badr DA; Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Van Pachterbeke C; Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Vanden Houte K; Department of Pathology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Denolin V; Siemens Healthineers, Beersel, Belgium.
Jani JC; Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Cannie MM; Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.; Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Belgium.
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Źródło :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2022 Jul; Vol. 56 (1), pp. 158-170. Date of Electronic Publication: 2021 Nov 19.
Typ publikacji :
Journal Article
MeSH Terms :
Adnexal Diseases*/diagnostic imaging
Diffusion Magnetic Resonance Imaging*/methods
Adnexa Uteri ; Diagnosis, Differential ; Female ; Humans ; Magnetic Resonance Imaging ; Middle Aged ; Prospective Studies ; Retrospective Studies ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Multiparametric bone MRI can improve CT-guided bone biopsy target selection in cancer patients and increase diagnostic yield and feasibility of next-generation tumour sequencing.
Autorzy :
Donners R; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK. .; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland. .
Figueiredo I; The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
Tunariu N; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK.; Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
Blackledge M; Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
Koh DM; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK.; Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
de la Maza MLDF; The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.; The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK.
Chandran K; The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.; The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK.
de Bono JS; The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.; The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT, UK.
Fotiadis N; Department of Interventional Radiology, Royal Marsden Hospital, 203 Fulham Rd, London, SW3 6JJ, UK.
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Źródło :
European radiology [Eur Radiol] 2022 Jul; Vol. 32 (7), pp. 4647-4656. Date of Electronic Publication: 2022 Jan 29.
Typ publikacji :
Journal Article
MeSH Terms :
Bone Neoplasms*/secondary
Diffusion Magnetic Resonance Imaging*/methods
Biopsy ; Feasibility Studies ; Humans ; Image-Guided Biopsy ; Magnetic Resonance Imaging/methods ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Rectal MRI radiomics inter- and intra-reader reliability: should we worry about that?
Autorzy :
Kwok HC; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Charbel C; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Danilova S; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Miranda J; Department of Radiology, University of Sao Paulo, Sao Paulo, Brazil.
Gangai N; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Petkovska I; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Chakraborty J; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Horvat N; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. .
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Źródło :
Abdominal radiology (New York) [Abdom Radiol (NY)] 2022 Jun; Vol. 47 (6), pp. 2004-2013. Date of Electronic Publication: 2022 Apr 02.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Magnetic Resonance Imaging*/methods
Rectal Neoplasms*/pathology
Diffusion Magnetic Resonance Imaging/methods ; Humans ; Reproducibility of Results ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Comprehensive radiological features of laryngeal sarcoidosis: cases series and systematic review.
Autorzy :
Baba A; Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA. .; Department of Radiology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan. .
Kurokawa R; Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA.
Fukuda T; Department of Radiology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Kurokawa M; Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA.
Tsuyumu M; Department of Otorhinolaryngology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Matsushima S; Department of Radiology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Ota Y; Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA.
Yamauchi H; Department of Radiology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Ojiri H; Department of Radiology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Srinivasan A; Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E. Medical Center Dr, Ann Arbor, MI, 48109, USA.
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Źródło :
Neuroradiology [Neuroradiology] 2022 Jun; Vol. 64 (6), pp. 1239-1248. Date of Electronic Publication: 2022 Mar 05.
Typ publikacji :
Journal Article; Systematic Review
MeSH Terms :
Magnetic Resonance Imaging*/methods
Sarcoidosis*/diagnostic imaging
Diffusion Magnetic Resonance Imaging ; Humans ; Radiography ; Retrospective Studies ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Tytuł :
Who with suspected prostate cancer can benefit from Proclarix after multiparametric magnetic resonance imaging?
Autorzy :
Morote J; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.; Department of Surgery, Universitat Autònoma de Barcelona, Barcelona, Spain.
Campistol M; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.
Regis L; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.
Celma A; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.
de Torres I; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.; Department of Surgery, Universitat Autònoma de Barcelona, Barcelona, Spain.; Department of Pathology, 16810Vall d´Hebron Hospital, Barcelona, Spain.
Semidey ME; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.; Department of Surgery, Universitat Autònoma de Barcelona, Barcelona, Spain.; Department of Pathology, 16810Vall d´Hebron Hospital, Barcelona, Spain.
Roche S; Department of Radiology, 16810Vall d´Hebron Hospital, Barcelona, Spain.
Mast R; Department of Radiology, 16810Vall d´Hebron Hospital, Barcelona, Spain.
Santamaria A; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.
Planas J; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.
Trilla E; Department of Urology, 16810Vall d´Hebron Hospital, Barcelona, Spain.; Prostate Cancer Research Group, Vall d´Hebron Research Institute, Barcelona, Spain.; Department of Surgery, Universitat Autònoma de Barcelona, Barcelona, Spain.
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Źródło :
The International journal of biological markers [Int J Biol Markers] 2022 Jun; Vol. 37 (2), pp. 218-223. Date of Electronic Publication: 2022 Feb 24.
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Humans ; Magnetic Resonance Imaging/methods ; Male ; Prostate-Specific Antigen ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Managing Discordant Findings Between Multiparametric Magnetic Resonance Imaging and Transrectal Magnetic Resonance Imaging-directed Prostate Biopsy-The Key Role of Magnetic Resonance Imaging-directed Transperineal Biopsy.
Autorzy :
Bajeot AS; Department of Urology, Toulouse Cancer Institute, Toulouse, France; Department of Urology, Toulouse University Hospital, Toulouse, France.
Covin B; Department of Urology, Toulouse Cancer Institute, Toulouse, France.
Meyrignac O; Department of Radiology, Toulouse Cancer Institute, Toulouse, France.
Pericart S; Department of Pathology, Toulouse Cancer Institute, Toulouse, France.
Aziza R; Department of Radiology, Toulouse Cancer Institute, Toulouse, France.
Portalez D; Department of Radiology, Toulouse Cancer Institute, Toulouse, France.
Graff-Cailleaud P; Department of Radiotherapy, Toulouse Cancer Institute, Toulouse, France.
Ploussard G; Department of Urology, Toulouse Cancer Institute, Toulouse, France; Department of Urology, La Croix du Sud Hospital, Toulouse, France.
Roumiguié M; Department of Urology, Toulouse Cancer Institute, Toulouse, France; Department of Urology, Toulouse University Hospital, Toulouse, France.
Malavaud B; Department of Urology, Toulouse Cancer Institute, Toulouse, France. Electronic address: .
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Źródło :
European urology oncology [Eur Urol Oncol] 2022 Jun; Vol. 5 (3), pp. 296-303. Date of Electronic Publication: 2021 Jun 19.
Typ publikacji :
Journal Article
MeSH Terms :
Multiparametric Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/therapy
Humans ; Image-Guided Biopsy/methods ; Magnetic Resonance Imaging/methods ; Male ; Prostate/diagnostic imaging ; Prostate/pathology ; Ultrasonography, Interventional/methods
Czasopismo naukowe
Tytuł :
Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Autorzy :
Zhang J; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China.
Wang G; Department of Breast Surgery, Guizhou Provincial People's Hospital, Guiyang, 550002, China.
Ren J; GE Healthcare China, Beijing, China.
Yang Z; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China.
Li D; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China.
Cui Y; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China. .
Yang X; Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China. .
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Źródło :
European radiology [Eur Radiol] 2022 Jun; Vol. 32 (6), pp. 4079-4089. Date of Electronic Publication: 2022 Jan 20.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Ductal*
Multiparametric Magnetic Resonance Imaging*
Humans ; Magnetic Resonance Imaging/methods ; Nomograms ; Retrospective Studies
Czasopismo naukowe

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