المؤلفون: Blak AA; Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Ole Maaløes Vej 24, Copenhagen, 7521. 2200, Denmark. anna.arendt.blak.01@regionh.dk., Stroomberg HV; Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Ole Maaløes Vej 24, Copenhagen, 7521. 2200, Denmark.; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Brasso K; Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Ole Maaløes Vej 24, Copenhagen, 7521. 2200, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Larsen SB; Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Ole Maaløes Vej 24, Copenhagen, 7521. 2200, Denmark.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Røder A; Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Ole Maaløes Vej 24, Copenhagen, 7521. 2200, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

المصدر: World journal of urology [World J Urol] 2024 Sep 14; Vol. 42 (1), pp. 523. Date of Electronic Publication: 2024 Sep 14.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer International Country of Publication: Germany NLM ID: 8307716 Publication Model: Electronic Cited Medium: Internet ISSN: 1433-8726 (Electronic) Linking ISSN: 07244983 NLM ISO Abbreviation: World J Urol Subsets: MEDLINE

مواضيع طبية MeSH: Prostatic Neoplasms*/pathology , Prostatic Neoplasms*/surgery , Neoplasm Grading*, Humans ; Male ; Denmark/epidemiology ; Middle Aged ; Aged ; Prostatectomy/methods ; Biopsy ; Time Factors ; Prostate/pathology

المؤلفون: Zahergivar A; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Yazdian Anari P; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Mendhiratta N; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Lay N; Artificial Intelligence Resource, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Singh S; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Dehghani Firouzabadi F; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Chaurasia A; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Golagha M; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Homayounieh F; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Gautam R; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Harmon S; Artificial Intelligence Resource, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Turkbey E; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Merino M; Pathology Department, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Jones EC; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Ball MW; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Turkbey B; Artificial Intelligence Resource, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Linehan WM; Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, Maryland, USA., Malayeri AA; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.

المصدر: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Sep; Vol. 60 (3), pp. 1076-1081. Date of Electronic Publication: 2024 Feb 01.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE

مواضيع طبية MeSH: Carcinoma, Renal Cell*/diagnostic imaging , Carcinoma, Renal Cell*/pathology , Kidney Neoplasms*/diagnostic imaging , Kidney Neoplasms*/pathology , Magnetic Resonance Imaging*/methods , Neoplasm Grading*, Humans ; Female ; Male ; Middle Aged ; Retrospective Studies ; Adult ; Aged ; von Hippel-Lindau Disease/diagnostic imaging ; von Hippel-Lindau Disease/complications ; ROC Curve ; Image Processing, Computer-Assisted/methods ; Prognosis

المؤلفون: Moodi F; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.; School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Khodadadi Shoushtari F; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran., Ghadimi DJ; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.; School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Valizadeh G; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran., Khormali E; Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran., Salari HM; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran., Ohadi MAD; Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran.; Departments of Pediatric Neurosurgery Children's Medical Center Hospital, Tehran University of Medical Sciences, Tehran, Iran., Nilipour Y; Pediatric Pathology Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Jahanbakhshi A; Stem Cell and Regenerative Medicine Research Center, Iran University of Medical Sciences, Tehran, Iran., Rad HS; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.; Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.

المصدر: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Sep; Vol. 60 (3), pp. 923-938. Date of Electronic Publication: 2023 Nov 29.

نوع المنشور: Journal Article; Comparative Study

بيانات الدورية: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE

مواضيع طبية MeSH: Glioma*/diagnostic imaging , Glioma*/pathology , Glioma*/classification , Neoplasm Grading* , Magnetic Resonance Imaging*/methods , World Health Organization* , Machine Learning*, Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; Adult ; Aged ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Reproducibility of Results ; Central Nervous System Neoplasms/diagnostic imaging ; Central Nervous System Neoplasms/classification ; Central Nervous System Neoplasms/pathology ; ROC Curve ; Image Processing, Computer-Assisted/methods ; Radiomics

المؤلفون: Koga R; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Koide S; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Tanaka H; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Taguchi K; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Kugler M; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Yokota T; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan., Ohshima K; Department of Pathology, 67 Asahi-cho, Kurume-shi, Fukuoka 830-0011, Japan., Miyoshi H; Department of Pathology, 67 Asahi-cho, Kurume-shi, Fukuoka 830-0011, Japan., Nagaishi M; Department of Pathology, 67 Asahi-cho, Kurume-shi, Fukuoka 830-0011, Japan., Hashimoto N; RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan., Takeuchi I; RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan; Department of Mechanical Systems Engineering, Furo-sho, Chikusa-ku, Nagoya-shi Aichi 464-8601, Japan., Hontani H; Dapartment of Computer Science, Gokiso-cho, Showa-ku, Nagoya-shi, Aichi 466-8555, Japan. Electronic address: hontani@nitech.ac.jp.

المصدر: Micron (Oxford, England : 1993) [Micron] 2024 Sep; Vol. 184, pp. 103663. Date of Electronic Publication: 2024 May 30.

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 9312850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4291 (Electronic) Linking ISSN: 09684328 NLM ISO Abbreviation: Micron Subsets: MEDLINE

مواضيع طبية MeSH: Lymphoma, Follicular*/pathology , Lymphoma, Follicular*/classification , Neoplasm Grading*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Machine Learning

المؤلفون: Müller D; Faculty of Applied Computer Science, University of Augsburg, Germany.; Institute for Digital Medicine, University Hospital Augsburg, Germany., Meyer P; Institute for Digital Medicine, University Hospital Augsburg, Germany., Rentschler L; Institute for Digital Medicine, University Hospital Augsburg, Germany.; Institute for Pathology, University Hospital Augsburg, Germany., Manz R; Institute for Digital Medicine, University Hospital Augsburg, Germany., Hieber D; Institute for Pathology, University Hospital Augsburg, Germany.; Institute DigiHealth, Neu-Ulm University of Applied Sciences, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany., Bäcker J; Institute for Digital Medicine, University Hospital Augsburg, Germany., Cramer S; Institute for Digital Medicine, University Hospital Augsburg, Germany., Wengenmayr C; Institute for Digital Medicine, University Hospital Augsburg, Germany., Märkl B; Institute for Pathology, University Hospital Augsburg, Germany., Huss R; Institute for Pathology, University Hospital Augsburg, Germany.; BioM Biotech Cluster Development GmbH, Germany., Kramer F; Faculty of Applied Computer Science, University of Augsburg, Germany., Soto-Rey I; Institute for Digital Medicine, University Hospital Augsburg, Germany., Raffler J; Institute for Digital Medicine, University Hospital Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany.

المصدر: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1110-1114.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

مواضيع طبية MeSH: Prostatic Neoplasms*/pathology , Deep Learning* , Neoplasm Grading*, Male ; Humans ; Neural Networks, Computer ; Image Interpretation, Computer-Assisted/methods

المؤلفون: Sulistyoningrum DC; Department of Nutrition and Health, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia., Rismawan A; Department of Neurology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, and Dr. Sardjito General Hospital, Yogyakarta, Indonesia., Malueka RG; Department of Neurology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, and Dr. Sardjito General Hospital, Yogyakarta, Indonesia., Dwianingsih EK; Department of Anatomical Pathology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, and Dr Sardjito General Hospital, Yogyakarta, Indonesia.

المصدر: Chinese clinical oncology [Chin Clin Oncol] 2024 Aug; Vol. 13 (Suppl 1), pp. AB094.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: AME Publishing Company Country of Publication: China NLM ID: 101608375 Publication Model: Print Cited Medium: Internet ISSN: 2304-3873 (Electronic) Linking ISSN: 23043865 NLM ISO Abbreviation: Chin Clin Oncol Subsets: MEDLINE

مواضيع طبية MeSH: Body Mass Index* , Glioma*/complications , Glioma*/mortality , Brain Neoplasms*/complications , Brain Neoplasms*/mortality , Neoplasm Grading*/methods, Humans ; Male ; Female ; Retrospective Studies ; Cross-Sectional Studies ; Middle Aged ; Adult ; Aged ; Young Adult ; Prognosis

المؤلفون: Ning J; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria.; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Spielvogel CP; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Haberl D; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Trachtova K; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Central European Institute of Technology, Masaryk University, Brno 62500, Czech Republic., Stoiber S; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria., Rasul S; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Bystry V; Central European Institute of Technology, Masaryk University, Brno 62500, Czech Republic., Wasinger G; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria., Baltzer P; Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, 1090 Vienna, Austria., Gurnhofer E; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria., Timelthaler G; Center for Cancer Research, Medical University of Vienna, 1090 Vienna, Austria., Schlederer M; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria., Papp L; Center for Medical Physics and Biomedical Engineering, Vienna, Austria., Schachner H; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria., Helbich T; Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, 1090 Vienna, Austria., Hartenbach M; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Grubmüller B; Department of Urology, Medical University of Vienna, Vienna, Austria.; Working Group of Diagnostic Imaging in Urology, Austrian Society of Urology, Vienna, Austria., Shariat SF; Department of Urology, Medical University of Vienna, Vienna, Austria.; Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria.; Department of Urology, University of Texas Southwestern, Dallas, Texas.; Division of Medical Oncology, Department of Urology, Weill Medical College of Cornell University, New York, New York.; Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.; Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia., Hacker M; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Haug A; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria., Kenner L; Christian Doppler Laboratory for Applied Metabolomics, 1090 Vienna, Austria.; Clinical Institute of Pathology, Department for Experimental and Laboratory Animal Pathology, Medical University of Vienna, Vienna, Austria.; Unit of Laboratory Animal Pathology, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.; Comprehensive Cancer Center, Medical University Vienna, Vienna, Austria.; Center for Biomarker Research in Medicine (CBmed), Graz, Styria, Austria.

المصدر: Theranostics [Theranostics] 2024 Aug 01; Vol. 14 (12), pp. 4570-4581. Date of Electronic Publication: 2024 Aug 01 (Print Publication: 2024).

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Ivyspring International Publisher Country of Publication: Australia NLM ID: 101552395 Publication Model: eCollection Cited Medium: Internet ISSN: 1838-7640 (Electronic) Linking ISSN: 18387640 NLM ISO Abbreviation: Theranostics Subsets: MEDLINE

مواضيع طبية MeSH: Prostatic Neoplasms*/surgery , Prostatic Neoplasms*/pathology , Prostatic Neoplasms*/genetics , Prostatic Neoplasms*/diagnostic imaging , Machine Learning* , Prostatectomy*/methods , Neoplasm Grading*, Humans ; Male ; Aged ; Middle Aged ; Retrospective Studies ; Prospective Studies ; Pilot Projects ; Positron-Emission Tomography/methods ; Magnetic Resonance Imaging/methods ; Genomics/methods ; Multiomics

المؤلفون: Gui Y; Department of Radiology, the fifth affiliated hospital of zunyi medical university, zhufengdadao No.1439, Doumen District, Zhuhai, China., Zhang J; Department of Radiology, the fifth affiliated hospital of zunyi medical university, zhufengdadao No.1439, Doumen District, Zhuhai, China. Electronic address: zhangj18@lzu.edu.cn.

المصدر: Academic radiology [Acad Radiol] 2024 Aug; Vol. 31 (8), pp. 3346-3354. Date of Electronic Publication: 2024 Feb 26.

نوع المنشور: Journal Article; Review

بيانات الدورية: Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4046 (Electronic) Linking ISSN: 10766332 NLM ISO Abbreviation: Acad Radiol Subsets: MEDLINE

مواضيع طبية MeSH: Meningioma*/diagnostic imaging , Meningioma*/classification , Meningioma*/pathology , Artificial Intelligence* , Meningeal Neoplasms*/diagnostic imaging , Meningeal Neoplasms*/classification , Meningeal Neoplasms*/pathology , Neoplasm Grading*, Humans ; Deep Learning

المؤلفون: Pytlarz M; Sano - Centre for Computational Personalised Medicine, Czarnowiejska 36, Kraków, 30-054, Poland. m.pytlarz@sanoscience.org., Wojnicki K; Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 3 Pasteur Street, Warszawa, 02-093, Poland., Pilanc P; Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 3 Pasteur Street, Warszawa, 02-093, Poland., Kaminska B; Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 3 Pasteur Street, Warszawa, 02-093, Poland., Crimi A; Sano - Centre for Computational Personalised Medicine, Czarnowiejska 36, Kraków, 30-054, Poland.

المصدر: Journal of imaging informatics in medicine [J Imaging Inform Med] 2024 Aug; Vol. 37 (4), pp. 1711-1727. Date of Electronic Publication: 2024 Feb 27.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

مواضيع طبية MeSH: Deep Learning* , Tumor Microenvironment* , Glioma*/pathology , Brain Neoplasms*/pathology , Neoplasm Grading*/methods, Humans ; Image Interpretation, Computer-Assisted/methods

المؤلفون: Upreti T; Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada., Dube S; Department of Biochemistry, University of Winnipeg, Winnipeg, Canada., Pareek V; Department of Radiology, University of Manitoba, Winnipeg, Canada., Sinha N; Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada.; Department of Pathology, University of Manitoba, Winnipeg, Canada., Shankar J; Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada. shivajai1@gmail.com.; Department of Radiology, University of Manitoba, Winnipeg, Canada. shivajai1@gmail.com.

المصدر: Neuroradiology [Neuroradiology] 2024 Aug; Vol. 66 (8), pp. 1301-1310. Date of Electronic Publication: 2024 Jun 21.

نوع المنشور: Journal Article; Meta-Analysis; Systematic Review

بيانات الدورية: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 1302751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1920 (Electronic) Linking ISSN: 00283940 NLM ISO Abbreviation: Neuroradiology Subsets: MEDLINE

مواضيع طبية MeSH: Meningeal Neoplasms*/diagnostic imaging , Meningeal Neoplasms*/pathology , Meningioma*/diagnostic imaging , Meningioma*/pathology , Neoplasm Grading* , Tomography, X-Ray Computed*/methods, Humans ; Magnetic Resonance Imaging/methods ; Sensitivity and Specificity