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Tytuł :
Correction to: Combined hepatocellular-cholangiocarcinoma: can we use contrast-enhanced ultrasound Liver Imaging Reporting and Data System (LI-RADS) to predict the patient's survival?
Autorzy :
Yang J; Department of Ultrasound, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Huang JY; Department of Ultrasound, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Chen X; Department of General Surgery, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Ling WW; Department of Ultrasound, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Luo Y; Department of Ultrasound, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Shi YJ; Department of Pathology, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China.
Liu JB; Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Lu Q; Department of Ultrasound, West China Hospital of Sichuan University, Sichuan Province, No. 37 Guo Xue Xiang, Chengdu, China. .
Lyshchik A; Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 14. Date of Electronic Publication: 2021 Oct 14.
Typ publikacji :
Published Erratum
Tytuł :
Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy.
Autorzy :
Zhang Q; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Guo J; GE Healthcare, Beijing, China.
Ouyang H; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Chen S; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhao X; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. .
Yu X; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. .
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors.
Autorzy :
Han S; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Kim JH; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea. .; Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea. .
Yoo J; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Jang S; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.; Department of Radiology, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.
Autorzy :
Ma M; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Liu R; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Wen C; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Xu W; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Xu Z; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Wang S; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Wu J; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Pan D; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Zheng B; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Qin G; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China. .
Chen W; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China. .
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Comparison of HU histogram analysis and BMD for proximal femoral fragility fracture assessment: a retrospective single-center case-control study.
Autorzy :
Park SY; Department of Radiology, Hallym University Sacred Heart Hospital, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, Republic of Korea, 14068.
Ha HI; Department of Radiology, Hallym University Sacred Heart Hospital, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, Republic of Korea, 14068. .
Lee I; Department of Radiology, Hallym University Sacred Heart Hospital, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, Republic of Korea, 14068.
Lim HK; Department of Radiology, Soonchunhyang University Seoul Hospital, 59, Daesagwan-ro, Yongsan-gu, Seoul, Republic of Korea, 04401.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.
Autorzy :
Kim C; Department of Radiology, Korea University Ansan Hospital, Ansan, Korea.
Lee G; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Oh H; Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeong G; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Kim SW; Department of Cardiology, Korea University Ansan Hospital, Ansan, Korea.
Chun EJ; Department of Radiology, Seoul University Bundang Hospital, Seongnam, Korea.
Kim YH; Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Lee JG; Biomedical Engineering Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, Korea.
Yang DH; Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. .
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
In-patient care trends in peripheral artery disease in the German healthcare system over the past decade.
Autorzy :
Decker JA; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, USA.
Varga-Szemes A; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, USA.
Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, USA. .
Emrich T; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, USA.; Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.; German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
Schwarz F; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
Kroencke TJ; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
Scheurig-Muenkler C; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre.
Autorzy :
Linck PA; Department of Radiology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Garnier C; Department of Radiology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Depetiteville MP; Department of Radiology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
MacGrogan G; Department of Pathology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Mathoulin-Pélissier S; Unité D'Épidémiologie Et de Recherche Cliniques, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.; Inserm UMR 1219, Epicene Team, Bordeaux, France.; Inserm CIC-EC 1401, Bordeaux, France.
Quénel-Tueux N; Department of Medical Oncology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Charitansky H; Department of Surgery, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Boisserie-Lacroix M; Department of Radiology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France.
Chamming's F; Department of Radiology, Institut Bergonié, Comprehensive Cancer Centre, 33076, Bordeaux, France. .
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Źródło :
European radiology [Eur Radiol] 2021 Oct 13. Date of Electronic Publication: 2021 Oct 13.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Estimation of pancreatic fibrosis and prediction of postoperative pancreatic fistula using extracellular volume fraction in multiphasic contrast-enhanced CT.
Autorzy :
Sofue K; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan. .
Ueshima E; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
Masuda A; Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Shirakawa S; Division of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Zen Y; Institute of Liver Studies, King's College Hospital & King's College London, London, UK.
Ueno Y; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
Tsujita Y; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
Yamaguchi T; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
Yabe S; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
Tanaka T; Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Inomata N; Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Toyama H; Division of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Fukumoto T; Division of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Kodama Y; Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Murakami T; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 12. Date of Electronic Publication: 2021 Oct 12.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.
Autorzy :
Luo S; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Wei R; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Lu S; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Lai S; School of Medical Equipment, Guangdong Food and Drug Vocational College, Guangzhou, Guangdong, 510520, China.
Wu J; Department of Radiology, University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, 518000, China.
Wu Z; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Pang X; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Wei X; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Jiang X; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China.
Zhen X; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China. .
Yang R; Department of Radiology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, 510180, China. .
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Źródło :
European radiology [Eur Radiol] 2021 Oct 12. Date of Electronic Publication: 2021 Oct 12.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Correction to: Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group.
Autorzy :
Venkatesh SK; Division of Abdominal Imaging, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA. .
L Welle C; Division of Abdominal Imaging, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA.
H Miller F; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jhaveri K; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, ON, Canada.
Ringe KI; Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Eaton JE; Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Bungay H; Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Arrivé L; Department of Radiology, Saint-Antoine Hospital, APHP Sorbonne University, Paris, France.
Ba-Ssalamah A; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Grigoriadis A; Department of Abdominal Radiology, Karolinska University Hospital, Stockholm, Sweden.
Schramm C; 1st Department of Medicine, Martin Zeitz Center for Rare Diseases, and Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Fulcher AS; Department of Radiology, Virginia Commonwealth University, Richmond, VA, USA.
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Corporate Authors :
IPSCSG
Źródło :
European radiology [Eur Radiol] 2021 Oct 04. Date of Electronic Publication: 2021 Oct 04.
Typ publikacji :
Published Erratum
Tytuł :
The MTA score-simple and reliable, the best for now?
Autorzy :
Rau A; Department of Neuroradiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany. .
Urbach H; Department of Neuroradiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany.
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Źródło :
European radiology [Eur Radiol] 2021 Oct 02. Date of Electronic Publication: 2021 Oct 02.
Typ publikacji :
Editorial
Opinia redakcyjna
Tytuł :
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.
Autorzy :
Rueckel J; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. .
Huemmer C; X-Ray Products, Siemens Healthineers, Forchheim, Germany.
Fieselmann A; X-Ray Products, Siemens Healthineers, Forchheim, Germany.
Ghesu FC; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.
Mansoor A; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.
Schachtner B; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.; Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.
Wesp P; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Trappmann L; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Munawwar B; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Ricke J; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Ingrisch M; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Sabel BO; Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7888-7900. Date of Electronic Publication: 2021 Mar 27.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Pneumothorax*/diagnostic imaging
Algorithms ; Data Curation ; Humans ; Radiography ; Radiography, Thoracic
Czasopismo naukowe
Tytuł :
Assessment of ventricular flow dynamics by 4D-flow MRI in patients following surgical repair of d-transposition of the great arteries.
Autorzy :
Callaghan FM; University of Zurich, Zurich, Switzerland. .; Center for MR-Research, University Children's Hospital, Steinwiesstrasse 75, 8032, Zurich, Switzerland. .; Children's Research Center, University Children's Hospital, Zurich, Switzerland. .
Burkhardt B; Children's Research Center, University Children's Hospital, Zurich, Switzerland.; Division of Pediatric Cardiology, University Children's Hospital, Zurich, Switzerland.
Valsangiacomo Buechel ER; Children's Research Center, University Children's Hospital, Zurich, Switzerland.; Division of Pediatric Cardiology, University Children's Hospital, Zurich, Switzerland.
Kellenberger CJ; Children's Research Center, University Children's Hospital, Zurich, Switzerland.; Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland.
Geiger J; Children's Research Center, University Children's Hospital, Zurich, Switzerland.; Department of Diagnostic Imaging, University Children's Hospital, Zurich, Switzerland.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7231-7241. Date of Electronic Publication: 2021 Mar 30.
Typ publikacji :
Journal Article
MeSH Terms :
Transposition of Great Vessels*/diagnostic imaging
Transposition of Great Vessels*/surgery
Adolescent ; Adult ; Arteries ; Child ; Heart Atria ; Heart Ventricles/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Young Adult
Czasopismo naukowe
Tytuł :
Added value of [ Ga]Ga-DOTA-TOC PET/CT for characterizing pancreatic neuroendocrine neoplasms: a comparison with contrast-enhanced CT and/or MRI in a large study cohort.
Autorzy :
Yoo J; Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 110-744, Korea.
Kim SH; Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 110-744, Korea. .; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea. .; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea. .
Jeon SK; Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 110-744, Korea.
Bae JS; Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 110-744, Korea.
Han JK; Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongno-gu, Seoul, 110-744, Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7734-7745. Date of Electronic Publication: 2021 Mar 31.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Renal Cell*
Kidney Neoplasms*
Neuroendocrine Tumors*/diagnostic imaging
Organometallic Compounds*
Pancreatic Neoplasms*/diagnostic imaging
Gallium Radioisotopes ; Humans ; Magnetic Resonance Imaging ; Octreotide ; Positron Emission Tomography Computed Tomography ; Positron-Emission Tomography ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Assessment of factors affecting washout appearance of hepatocellular carcinoma on CT.
Autorzy :
Hwang JA; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Min JH; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea. .
Kang TW; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Jeong WK; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Kim YK; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Ko SE; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
Choi SY; Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7760-7770. Date of Electronic Publication: 2021 Apr 15.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Hepatocellular*/diagnostic imaging
Liver Neoplasms*/diagnostic imaging
Contrast Media ; Humans ; Magnetic Resonance Imaging ; Retrospective Studies ; Sensitivity and Specificity ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluation.
Autorzy :
Lim CS; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Rm AB 279, Toronto, Ontario, M4N 3M5, Canada. .
Abreu-Gomez J; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Rm AB 279, Toronto, Ontario, M4N 3M5, Canada.; Department of Medical Imaging, Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Flood TA; Department of Urology, The Ottawa Hospital, The University of Ottawa, General Campus, Ottawa, Ontario, Canada.
Carrion I; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Rm AB 279, Toronto, Ontario, M4N 3M5, Canada.
Dallaire FB; Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Rm AB 279, Toronto, Ontario, M4N 3M5, Canada.
Schieda N; Department of Radiology, The Ottawa Hospital, the University of Ottawa, Ottawa, Ontario, Canada.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7792-7801. Date of Electronic Publication: 2021 Mar 29.
Typ publikacji :
Journal Article
MeSH Terms :
Magnetic Resonance Imaging*
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/surgery
Humans ; Male ; Prevalence ; Prostatectomy ; Retrospective Studies ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Multi-arterial phase MRI depicts inconsistent arterial phase hyperenhancement (APHE) subtypes in liver observations of patients at risk for hepatocellular carcinoma.
Autorzy :
Cunha GM; Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA. .
Hasenstab KA; Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA.; Department of Mathematics and Statistics, San Diego State University, San Diego, CA, 92182, USA.
Delgado T; Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA.
Ichikawa S; Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3898, Japan.
Lee MH; Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Jung 1(il)-dong, Bucheon-si, Gyeonggi-do, South Korea.
Dautt Medina PM; ABC Medical Center, Av. Carlos Fernández Graef 154, Santa Fe, Contadero, Cuajimalpa de Morelos, 05330, Ciudad de México, CDMX, Mexico.
Kim SJ; National Cancer Center, 809 Madu 1(il)-dong, Ilsandong-gu, Goyang-si, Gyeonggi-do, South Korea.
Lee YH; Wonkwang University Hospital, 895 Muwang-ro, Iksan-si, Jeollabuk-do, South Korea.
Kwon H; Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, 26, Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea.
Sirlin CB; Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA.
Fowler KJ; Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7594-7604. Date of Electronic Publication: 2021 Apr 19.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Hepatocellular*/diagnostic imaging
Liver Neoplasms*/diagnostic imaging
Contrast Media ; Humans ; Liver ; Magnetic Resonance Imaging ; Retrospective Studies ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Prediction model for cervical lymph node metastasis in human papillomavirus-related oropharyngeal squamous cell carcinomas.
Autorzy :
Joo L; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Bae YJ; Department of Radiology, Seoul National University Bundang Hospital 82, Gumi-ro 173beon-gil, Bundang-gu, Seongnam, Gyeonggi, 13620, Republic of Korea.
Choi YJ; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea. .
Lee YS; Department of Otolaryngology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Chung SR; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Suh CH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Kim SO; Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Baek JH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
Lee JH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7429-7439. Date of Electronic Publication: 2021 Mar 29.
Typ publikacji :
Journal Article
MeSH Terms :
Alphapapillomavirus*
Carcinoma, Squamous Cell*/diagnostic imaging
Head and Neck Neoplasms*
Oropharyngeal Neoplasms*/diagnostic imaging
Humans ; Lymph Nodes/diagnostic imaging ; Lymphatic Metastasis ; Squamous Cell Carcinoma of Head and Neck
Czasopismo naukowe
Tytuł :
Which ultrasound image plane is appropriate for evaluating the taller-than-wide sign in the risk stratification of thyroid nodules?
Autorzy :
Kim SY; Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, 38 Bangdong-gil, Sacheon-myeon, Gangneung-si, Gangwon-do, 25440, Republic of Korea.
Na DG; Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, 38 Bangdong-gil, Sacheon-myeon, Gangneung-si, Gangwon-do, 25440, Republic of Korea. .
Paik W; Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, 38 Bangdong-gil, Sacheon-myeon, Gangneung-si, Gangwon-do, 25440, Republic of Korea.
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Źródło :
European radiology [Eur Radiol] 2021 Oct; Vol. 31 (10), pp. 7605-7613. Date of Electronic Publication: 2021 Apr 14.
Typ publikacji :
Journal Article
MeSH Terms :
Thyroid Neoplasms*
Thyroid Nodule*/diagnostic imaging
Humans ; ROC Curve ; Retrospective Studies ; Risk Assessment ; Sensitivity and Specificity ; Ultrasonography
Czasopismo naukowe

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