Search Results - "European radiology"

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) by Wang, Shuai, Kang, Bo, Ma, Jinlu, Zeng, Xianjun, Xiao, Mingming, Guo, Jia, Cai, Mengjiao, Yang, Jingyi, Li, Yaodong, Meng, Xiangfei, Xu, Bo

“…Objective The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19)…”
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Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review by Ye, Zheng, Zhang, Yun, Wang, Yi, Huang, Zixiang, Song, Bin

“…Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, has rapidly swept around the world just within a month, causing global public…”
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Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China by Pan, Yueying, Guan, Hanxiong, Zhou, Shuchang, Wang, Yujin, Li, Qian, Zhu, Tingting, Hu, Qiongjie, Xia, Liming

“…Objectives The purpose of this study was to observe the imaging characteristics of the novel coronavirus pneumonia. Methods Sixty-three confirmed patients were…”
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Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis by Francone, Marco, Iafrate, Franco, Masci, Giorgio Maria, Coco, Simona, Cilia, Francesco, Manganaro, Lucia, Panebianco, Valeria, Andreoli, Chiara, Colaiacomo, Maria Chiara, Zingaropoli, Maria Antonella, Ciardi, Maria Rosa, Mastroianni, Claudio Maria, Pugliese, Francesco, Alessandri, Francesco, Turriziani, Ombretta, Ricci, Paolo, Catalano, Carlo

“…Objectives To correlate a CT-based semi-quantitative score of pulmonary involvement in COVID-19 pneumonia with clinical staging of disease and laboratory…”
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CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19) by Li, Kunwei, Fang, Yijie, Li, Wenjuan, Pan, Cunxue, Qin, Peixin, Zhong, Yinghua, Liu, Xueguo, Huang, Mingqian, Liao, Yuting, Li, Shaolin

“…Objectives To explore the relationship between the imaging manifestations and clinical classification of COVID-19. Methods We conducted a retrospective…”
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Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI) by Mann, Ritse M., Athanasiou, Alexandra, Baltzer, Pascal A. T., Camps-Herrero, Julia, Clauser, Paola, Fallenberg, Eva M., Forrai, Gabor, Fuchsjäger, Michael H., Helbich, Thomas H., Killburn-Toppin, Fleur, Lesaru, Mihai, Panizza, Pietro, Pediconi, Federica, Pijnappel, Ruud M., Pinker, Katja, Sardanelli, Francesco, Sella, Tamar, Thomassin-Naggara, Isabelle, Zackrisson, Sophia, Gilbert, Fiona J., Kuhl, Christiane K.

“…Breast density is an independent risk factor for the development of breast cancer and also decreases the sensitivity of mammography for screening…”
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COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI) by Revel, Marie-Pierre, Parkar, Anagha P., Prosch, Helmut, Silva, Mario, Sverzellati, Nicola, Gleeson, Fergus, Brady, Adrian

“…This document from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI) aims to present the main imaging features, and…”
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Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting by Beets-Tan, Regina G. H., Lambregts, Doenja M. J., Maas, Monique, Bipat, Shandra, Barbaro, Brunella, Curvo-Semedo, Luís, Fenlon, Helen M., Gollub, Marc J., Gourtsoyianni, Sofia, Halligan, Steve, Hoeffel, Christine, Kim, Seung Ho, Laghi, Andrea, Maier, Andrea, Rafaelsen, Søren R., Stoker, Jaap, Taylor, Stuart A., Torkzad, Michael R., Blomqvist, Lennart

“…Objectives To update the 2012 ESGAR consensus guidelines on the acquisition, interpretation and reporting of magnetic resonance imaging (MRI) for clinical…”
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The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence by Willemink, Martin J., Noël, Peter B.

“…The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use…”
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Artificial intelligence in radiology: 100 commercially available products and their scientific evidence by van Leeuwen, Kicky G., Schalekamp, Steven, Rutten, Matthieu J. C. M., van Ginneken, Bram, de Rooij, Maarten

“…Objectives Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their…”
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Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group by Baltzer, Pascal, Mann, Ritse M., Iima, Mami, Sigmund, Eric E., Clauser, Paola, Gilbert, Fiona J., Martincich, Laura, Partridge, Savannah C., Patterson, Andrew, Pinker, Katja, Thibault, Fabienne, Camps-Herrero, Julia, Le Bihan, Denis

“…The European Society of Breast Radiology (EUSOBI) established an International Breast DWI working group. The working group consists of clinical breast MRI…”
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The role of imaging in 2019 novel coronavirus pneumonia (COVID-19) by Yang, Wenjing, Sirajuddin, Arlene, Zhang, Xiaochun, Liu, Guanshu, Teng, Zhongzhao, Zhao, Shihua, Lu, Minjie

“…Almost the entire world, not only China, is currently experiencing the outbreak of a novel coronavirus that causes respiratory disease, severe pneumonia, and…”
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ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ training by de Rooij, Maarten, Israël, Bas, Tummers, Marcia, Ahmed, Hashim U., Barrett, Tristan, Giganti, Francesco, Hamm, Bernd, Løgager, Vibeke, Padhani, Anwar, Panebianco, Valeria, Puech, Philippe, Richenberg, Jonathan, Rouvière, Olivier, Salomon, Georg, Schoots, Ivo, Veltman, Jeroen, Villeirs, Geert, Walz, Jochen, Barentsz, Jelle O.

“…Objectives This study aims to define consensus-based criteria for acquiring and reporting prostate MRI and establishing prerequisites for image quality…”
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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT by Akagi, Motonori, Nakamura, Yuko, Higaki, Toru, Narita, Keigo, Honda, Yukiko, Zhou, Jian, Yu, Zhou, Akino, Naruomi, Awai, Kazuo

“…Objectives Deep learning reconstruction (DLR) is a new reconstruction method; it introduces deep convolutional neural networks into the reconstruction flow…”
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Medical students' attitude towards artificial intelligence: a multicentre survey by Pinto dos Santos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., Maintz, D., Baeßler, B.

“…Objectives To assess undergraduate medical students’ attitudes towards artificial intelligence (AI) in radiology and medicine. Materials and methods A…”
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ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports by Jeblick, Katharina, Schachtner, Balthasar, Dexl, Jakob, Mittermeier, Andreas, Stüber, Anna Theresa, Topalis, Johanna, Weber, Tobias, Wesp, Philipp, Sabel, Bastian Oliver, Ricke, Jens, Ingrisch, Michael

“…Objectives To assess the quality of simplified radiology reports generated with the large language model (LLM) ChatGPT and to discuss challenges and chances of…”
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Post-contrast acute kidney injury – Part 1: Definition, clinical features, incidence, role of contrast medium and risk factors: Recommendations for updated ESUR Contrast Medium Safety Committee guidelines by van der Molen, Aart J., Reimer, Peter, Dekkers, Ilona A., Bongartz, Georg, Bellin, Marie-France, Bertolotto, Michele, Clement, Olivier, Heinz-Peer, Gertraud, Stacul, Fulvio, Webb, Judith A. W., Thomsen, Henrik S.

“…Purpose The Contrast Media Safety Committee (CMSC) of the European Society of Urogenital Radiology (ESUR) has updated its 2011 guidelines on the prevention of…”
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Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study by Greffier, Joël, Hamard, Aymeric, Pereira, Fabricio, Barrau, Corinne, Pasquier, Hugo, Beregi, Jean Paul, Frandon, Julien

“…Objectives To assess the impact on image quality and dose reduction of a new deep learning image reconstruction (DLIR) algorithm compared with a hybrid…”
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Imaging of sarcopenia: old evidence and new insights by Albano, Domenico, Messina, Carmelo, Vitale, Jacopo, Sconfienza, Luca Maria

“…To date, sarcopenia is considered a patient-specific imaging biomarker able to predict clinical outcomes. Several imaging modalities, including dual-energy…”
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Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives by Chetan, Madhurima R., Gleeson, Fergus V.

“…Objectives Radiomics is the extraction of quantitative data from medical imaging, which has the potential to characterise tumour phenotype. The radiomics…”
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