Back to the list
Congress: ECR25
Poster Number: C-11795
Type: Poster: EPOS Radiologist (educational)
Authorblock: P. J. George, F. Singh; Wigan/UK
Disclosures:
Prince John George: Nothing to disclose
Keywords: Gastrointestinal tract, CT, MR, eLearning, Image verification
References

1)Kim N, Auerbach A, Manning MA. Algorithmic Approach to the Splenic Lesion Based on Radiologic-Pathologic Correlation. Radiographics. 2022 May-Jun;42(3):683-701. doi: 10.1148/rg.210071. Epub 2022 Mar 18. PMID: 35302864.

2)Philippe Pouvreau, Thomas Bouyer, Pacome Fosse, Christine Casa, Germain Brehier, Jean-Philippe Lemoine, Geoffrey Urbanski, Christophe Aubé, Anita Paisant,Management of splenic incidentalomas, a new evidence-based algorithm,Surgery Open Digestive Advance,Volume 13,2024,100127,ISSN 2667-0089,https://doi.org/10.1016/j.soda.2024.100127.

3)Thut D, Smolinski S, Morrow M, McCarthy S, Alsina J, Kreychman A, Rakita D. A diagnostic approach to splenic lesions. Appl Rad Oncol. 2017;(2):7-22.

4)Krähling H, Seidensticker M, Heindel WL et al. Diagnostic approach to splenic lesions. Fortschr Röntgenstr 2024;196: 573–581

5)Dhyani M, Anupindi SA, Ayyala R, Hahn PF, Gee MS. Defining an imaging algorithm for noncystic splenic lesions identified in young patients. Am J Roentgenol 2013;201(6):W893–9. doi: 10.2214/AJR.12.10105
GALLERY