Ultraschall Med 2017; 38(06): e48-e50
DOI: 10.1055/s-0043-122260
Congress Report
© Georg Thieme Verlag KG Stuttgart · New York

Looking back at EUROSON 2016 in Leipzig, Germany: which topics were popular?

Michael Bachmann Nielsen
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Publikationsverlauf

Publikationsdatum:
19. Dezember 2017 (online)

The 28th EUROSON Congress and the 40th Dreiländertreffen of the DEGUM, ÖGUM and SGUM were held in October 2016 in Leipzig, Germany. It was a successful event that attracted more than two thousand participants. The congress included more than 200 scientific presentations.

The scientific sessions covered the multidisciplinary use of medical ultrasound in gynecology, obstetrics, pediatrics and in musculoskeletal, head and neck, vascular applications as well as many topics regarding abdominal US. There were also several sessions focused on ultrasound technology.

 
  • References

  • 1 Moga TV, Ivascu CS, Pienar C. et al. Contrast enhanced ultrasound as a first line imaging method in the evaluation of FLL in daily practice. A large monocentric experience. Ultraschall in Med 2016; 37: S2
  • 2 Sirli R, Ivascu SC, Moga T. et al. Performance of Contrast Enhanced Ultrasound (CEUS) in the diagnostic of focal liver lesions – monocentric experience. Ultraschall in Med 2016; 37: 29
  • 3 Fischer C, Frank M, Hug A. et al. Dynamic contrast-enhanced ultrasound (CEUS) after open and minimally invasive locked plating of proximal humerus fractures. Ultraschall in Med 2016; 37: 2
  • 4 Fischer C, Krammer D, Schmidmaier G. et al. Dynamic Contrast-Enhanced Ultrasound (CEUS) and elastography assess deltoid muscle integrity after reverse shoulder arthroplasty. Ultraschall in Med 2016; 37: 1
  • 5 Wiesinger I, Jung EM. Possibilities of contrast- enhanced ultrasound (CEUS) for evaluation of the success of percutaneous treatments of malignant liver lesions using special perfusion software. Ultraschall in Med 2016; 37: 9
  • 6 Blank V, Görg C. Quantitative analysis of the uptake from ultrasound contrast agents (CEUS) in hyperechoic splenic lesions. Ultraschall in Med 2016; 37: 19
  • 7 Drudi FM, Valentino M, Bertolotto M. et al. CEUS Time Intensity Curves in the Differentiation Between Leydig Cell Carcinoma and Seminoma: A Multicenter Study. Ultraschall in Med 2016; 37: 201-205
  • 8 Zink F, Kratzer W, Schmidt S. et al. Comparison of Two High-End Ultrasound Systems for Contrast-Enhanced Ultrasound Quantification of Mural Microvascularity in Crohn’s Disease. Ultraschall in Med 2016; 37: 74-81
  • 9 Danila M, Ciocea C, Popescu A. et al. Contrast Enhanced Ultrasound (CEUS) in hemangiomas – atypical behavior. Ultraschall in Med 2016; 37: 29
  • 10 Si Q, Zhang W, Qian X. Characteristics of breast neoplasms on contrast-enhanced ultrasonography and its clinical value. Ultraschall in Med 2016; 37: 20
  • 11 Schellhaas B, Wildner D, Pfeifer L. et al. LI-RADS-CEUS – proposal for a contrast-enhanced ultrasound algorithm for the diagnosis of hepatocellular carcinoma in high-risk populations. Ultraschall in Med 2016; 37: 1
  • 12 Schellhaas B, Wildner D, Pfeifer L. et al. LI-RADS-CEUS – Proposal for a Contrast-Enhanced Ultrasound Algorithm for the Diagnosis of Hepatocellular Carcinoma in High-Risk Populations. Ultraschall in Med 2016; 37: 627-634
  • 13 Piscaglia F, Wilson SR, Lyshchik A. et al. American College of Radiology Contrast Enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) for the diagnosis of Hepatocellular Carcinoma: a pictorial essay. Ultraschall in Med 2017; 38: 320-324
  • 14 Piscaglia F, Kudo M, Han KH. et al. Diagnosis of Hepatocellular Carcinoma with Non-Invasive Imaging: a Plea for Worldwide Adoption of Standard and Precise Terminology for Describing Enhancement Criteria CEUS-basierte Algorithmen für die Diagnose des hepatozellulären Karzinoms bei Risikopatienten. Ultraschall in Med 2017; 38: 9-11
  • 15 Schellhaas B, Pfeifer L, Görtz R. et al. CEUS-basierte Algorithmen für die Diagnose des hepatozellulären Karzinoms bei Risikopatienten – ESCULAP versus ACR CEUS-LI-RADS. Ultraschall in Med 2017; 38: 23
  • 16 Strobel D, Schellhaas B. Letter to the Editor on “LI-RADS-CEUS – Proposal for a Contrast-Enhanced Ultrasound Algorithm for the Diagnosis of Hepatocellular Carcinoma in High-Risk Populations”. Ultraschall in Med 2017; 38: 87-87
  • 17 Friedrich-Rust M, Vorländer C, Dietrich CF. et al. Results of the DEGUM-multicenter study evaluating strain elastography for differentiation of thyroid nodules. Ultraschall in Med 2016; 37: 10
  • 18 Friedrich-Rust M, Vorlaender C, Dietrich CF. et al. Evaluation of Strain Elastography for Differentiation of Thyroid Nodules: Results of a Prospective DEGUM Multicenter Study. Ultraschall in Med 2016; 37: 262-270
  • 19 Wenz H, Dieckmann A, Simon A. et al. Ultrasound elastography – A pilot study to examine muscle stiffness. Ultraschall in Med 2016; 37: 53
  • 20 Cantisani V, Dietrich CF, Badea R. et al. EFSUMB statement on medical student education in ultrasound (short version). Ultraschall in Med 2016; 37: 100-102
  • 21 Karniel E, Rieder Y, Barzilai M. et al. Teaching ultrasound: do you credit for participation or test knowledge?. Ultraschall in Med 2016; 37: 12
  • 22 Recker F, Lindner F, Blank V. Enhancing ultrasound peer-to-peer teaching: criteria for a student ultrasound tutor. Ultraschall in Med 2016; 37: 35
  • 23 Winkler C, Herberg U, Recker F. Enhancing ultrasound peer-to-peer teaching: criteria for a student ultrasound tutor. Ultraschall in Med 2016; 37: 36
  • 24 Wolf R, Geuthel N, Lindner F. et al. Quantitative and qualitative situation analysis of undergraduate ultrasound education in German-speaking-area medical schools. Ultraschall in Med 2016; 37: 36
  • 25 Kollmann C, Flor M, Bader R. A web-based modern ultrasound diagnostic scanner simulation (SimulUS) from high-school students for undergraduate medical e-learning education. Ultraschall in Med 2016; 37: 11
  • 26 Algaba Montes M, Oviedo Garcia A, Bedal Aali S. Undergraduate teaching in ultrasound to medical students. Ultraschall in Med 2016; 37: 46
  • 27 Alfageme F, Cerezo E, Roustan G. et al. Introduction of basic dermatologic ultrasound in undergraduate medical education. Ultraschall in Med 2016; 37: 60
  • 28 Altersberger M, Pavelka P, Sachs A. et al. Ultrasound in the undergraduate medical curriculum: Designing the learning material. Ultraschall in Med 2016; 37: 61
  • 29 Stauffert N, Hempel D, Schröder T. et al. Teaching students two-point compression ultrasound: A randomized, controlled trail. Ultraschall in Med 2016; 37: 34
  • 30 Stauffert N, Hempel D, Schleifer J. et al. Ultrasound education for medical students using e-learning and self-directed hands-on training. Ultraschall in Med 2016; 37: 35
  • 31 Goldfuss C, Stieglitz A, Krstevska L. et al. Ultrasound in acute kidney injury – Showing them how it’s done in 4 hours. Ultraschall in Med 2016; 37: 35
  • 32 Recker F, Lindner F, Kläschen S. et al. Facing the Ultrasound education: Establishment of an unified and well-structured curriculum. Ultraschall in Med 2016; 37: 62
  • 33 Konge L, Albrecht-Beste E, Bachmann Nielsen M. Ultrasound in Pre-Graduate Medical Education. Ultraschall in Med 2015; 36: 213-215
  • 34 Østergaard ML, Ewertsen C, Konge L. et al. Simulation-Based Abdominal Ultrasound Training – A Systematic Review. Ultraschall in Med 2016; 37: 253-261
  • 35 Dyre L, Nørgaard LN, Tabor A. et al. Collecting Validity Evidence for the Assessment of Mastery Learning in Simulation-Based Ultrasound Training. Ultraschall in Med 2016; 37: 386-392
  • 36 Lato K, Degregorio N, Lato C. et al. Introduction of augmented reality in ultrasound training – The set up for the UppStudy (Ultrasound aPP Study). Ultraschall in Med 2016; 37: 61
  • 37 Brückmann A, Brückmann D, Jung E. Implementation of a novel iPhone and Android application for educational and training purposes in prenatal and pelvic ultrasound. Ultraschall in Med 2016; 37: 62
  • 38 Tolsgaard MG, Ringsted C, Rosthøj S. et al. The Effects of Simulation-based Transvaginal Ultrasound Training on Quality and Efficiency of Care: A Multicenter Single-blind Randomized Trial. Ann Surg 2017; 265: 630-637
  • 39 Madsen ME, Nørgaard LN, Tabor A. et al. The Predictive Value of Ultrasound Learning Curves Across Simulated and Clinical Settings. J Ultrasound Med 2017; 36: 201-208
  • 40 Winners of the EFSUMB Young Investigator Award 2016. Ultraschall in Med 2017; 38: 92-93
  • 41 Nielsen MB, Seitz K. Impact Factors and Prediction of Popular Topics in a Journal. Ultraschall in Med 2016; 37: 343-345