Skip to main content
Log in

Highlights of the special scientific sessions of the 46th Annual Scientific Meeting of the International Skeletal Society (ISS) 2019, Vancouver, Canada

  • Meeting Highlights
  • Published:
Skeletal Radiology Aims and scope Submit manuscript

Abstract

This paper summarizes the highlights of the Scientific Sessions of the 46th Annual Scientific Meeting of the International Skeletal Society (ISS) which was hosted in Vancouver, Canada, in September 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Annual Meeting Abstracts of the International Skeletal Society (ISS) 2019, Vancouver, Canada. Skelet Radiol (2019) 48:1473-1483.

  2. Serfaty A, Mendonça S, D’almeida LO, Marchiori E, Canella C. Detection of musculoskeletal inflammatory lesions in patients with chronic symptoms of Chikungunya infection with 3 T whole body magnetic resonance imaging. Skelet Radiol. 2019;48:1473.

    Article  Google Scholar 

  3. Quirk C, Onofrio A, Patrie J, Nacey N. Lumbar epidural steroid injection: assessing the affect of adding bupivacaine on immediate and delayed post-procedure pain scores. Skelet Radiol. 2019;48:–1473.

  4. Guimaraes J, Facchetti L, Link T, Neumann J, Gersing A, Schwaiger B. The contra-lateral knee cartilage in anterior cruciate ligament injured and reconstructed subjects: morphological and compositional MRI analyses over 3-years. Skelet Radiol. 2019;48:1474.

    Google Scholar 

  5. Crema M, Guermazi A, Krivokapic B, Gravilovic P, Popovic N, D’hooghe P, et al. MRI of acute ankle sprain: associations between joint effusion and structural injury severity in a large cohort of athletes. Skelet Radiol. 2019;48:1474.

    Google Scholar 

  6. Samim M, Campbell A, Klein D, Gyftopoulos S, Ross H, Baron S, et al. Imaging and clinical outcomes following superior capsular reconstruction for massive irreparable rotator cuff tears. Skelet Radiol. 2019;48:1474.

    Google Scholar 

  7. Khodarahmi I, Fritz J. Compressed sensing SEMAC MRI of hip and knee arthroplasty implants at 1.5 T and 3 T field strengths: an intra-subject comparison study. Skelet Radiol. 2019;48:–1475.

  8. Chaudhari A, Grissom M, Fang Z, Lee J, Gold G, Hargreaves B, et al. 5-minute quantitative double-echo in steady-state in knee MRI: combining an efficient multi-contrast acquisition with quantitative imaging and artificial intelligence. Skelet Radiol. 2019;48:1475.

    Google Scholar 

  9. Del Grande F, Joshi D, Stern S, Fritz J. Rapid high-resolution MRI of elbow injuries: comparison of a novel 10-min 3D TSE technique against a 20-min 2D TSE standard of reference. Skelet Radiol. 2019;48:1476.

    Google Scholar 

  10. Roemer F, Christoph T, Guermazi A, Nagel A, Kleyer A, Simon D, et al. Feasibility of comprehensive assessment of knee joint synovitis at ultra-high field (7 t) MRI using contrast-enhanced and non-enhanced sequences. Skelet Radiol. 2019;48:1476.

    Google Scholar 

  11. Schmaranzer F, Lerch T, Siebenrock K, Tannast M, Schmaranzer E. Postoperative, traction MR arthrography in patients with persisting pain after hip arthroscopy for FAI reveals unexpected high prevalence of osseous deformities and intraarticular lesions due to under/or overcorrection. Skelet Radiol. 2019;48:1476.

    Google Scholar 

  12. Simpfendorfer C, Babic M, Ilaslan H. Septic facet joints - an underdiagnosed distinct clinical entity frequently associated with epidural abscess and prolonged bacteremia. Skelet Radiol. 2019;48:1475.

    Google Scholar 

  13. Shah A, Shah B. Percutaneous ultrasound-guided synovial biopsy - keeping it simple. Skelet Radiol. 2019;48:1477.

    Google Scholar 

  14. Kepp F, Huber F, Mühlematter U, Wurnig M, Kaniewska M, Del Grande F, et al. Diagnostic performance of texture analysis for differentiation of inflammation vs. degeneration in the sacroiliac joints. Skelet Radiol. 2019;48:1477.

    Google Scholar 

  15. Hong JH, Jee W-H, Jung C-K, Jung J-Y, Son Y, Shin SH, et al. Correlation between MR imaging texture analysis and quantitative tumor necrosis measurements after neoadjuvant chemotherapy in patients with osteosarcoma. Skelet Radiol. 2019;48:1477.

    Google Scholar 

  16. Roller B, Knio Z, O’gara T, Tan J, Boutin R, Kadir T, et al. Machine learning algorithm for automated lumbar MRI scoring correlates with pain and disability index in patients undergoing lumbar decompression. Skelet Radiol. 2019;48:1478.

    Google Scholar 

  17. Tsao A, Buckless C, Wang B, Torriani M. Deep learning pipeline for fullyautomated body composition segmentation from Ct studies. Skelet Radiol. 2019;48:1478.

    Google Scholar 

  18. Kijowski R, Guan B, Mizaian A, Demehri S, Neogi T, Guermazi A, et al. Deep learning approach to predict radiographic knee osteoarthritis progression. Skelet Radiol. 2019;48:1479.

    Google Scholar 

  19. Ghafoor S, Schilsky J, Hameed M, Hwang S. Imaging features of mesenchymal chondrosarcoma of bone and soft tissue-experience of a single tertiary cancer center. Skelet Radiol. 2019;48:1480.

    Google Scholar 

  20. Boulytcheva I, Musaev E, Babkin N. Sacral chordoma. clinical management and prognosis. Long-term experience in a single institution. Skelet Radiol. 2019;48:1480.

    Google Scholar 

  21. Garner H, Rhodes N, Wessell D. Can CT attenuation reliably distinguish between sclerotic (osteoblastic) metastases and benign sclerotic bone lesions? Skelet Radiol. 2019;48:1480.

    Article  Google Scholar 

  22. Fayad L, Bharti S, Levin A, Morris C, Ahlawat S, Bhujwalla Z, et al. Characterization of lipomatous tumors with high-resolution 1 h MR spectroscopy at 17.6 T: do benign lipomas, atypical lipomatous tumors and liposarcomas have a distinct metabolic signature? Skelet Radiol. 2019;48:1481.

    Google Scholar 

  23. Guermazi A, Roemer F, Sharma L, Ashbeck E, Chengcheng H, Kwoh K. Structural joint pathology as detected by MRI and risk of subsequent knee osteoarthritis development over 10 years. Skelet Radiol. 2019;48:1481.

    Google Scholar 

  24. Bird E, Tang T, Vaidya A, Tesfai Y, Statum S, Bae W, et al. Effect of 9-months unloader bracing on volume of bone marrow edema and T2 values of cartilage and meniscus. Skelet Radiol. 2019;48:1481.

    Google Scholar 

  25. Falkowski A, Jacobson J, Kalia V. Quadriceps tendon tears: MR imaging characterization of location and patterns. Skelet Radiol. 2019;48:1482.

    Google Scholar 

  26. Stevens K, Doyle Z, Yoon D, Lee P, Hargreaves B, Beaulieu C. Comparison of accelerated MAVRIC-SL with robust-PCA and conventional MAVRIC-SL in evaluation of symptomatic total hip arthroplasties. Skelet Radiol. 2019;48:1483.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miriam A. Bredella.

Ethics declarations

Conflict of interest

The author declares that there are no conflicts of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bredella, M.A. Highlights of the special scientific sessions of the 46th Annual Scientific Meeting of the International Skeletal Society (ISS) 2019, Vancouver, Canada. Skeletal Radiol 49, 333–335 (2020). https://doi.org/10.1007/s00256-019-03341-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00256-019-03341-7

Keywords

Navigation