Predicting tumor grade and mutation status of pancreatic neuroendocrine liver metastases using computed tomography radiomic features Meeting Abstract


Authors: Hoang, R.; Elsakka, A.; Yarmohammadi, H.; Erinjeri, J.; Boas, F.; Solomon, S.; Raj, N.; Reidy-Lagunes, D.; Gonzalez Aguirre, A.; Ziv, E.
Abstract Title: Predicting tumor grade and mutation status of pancreatic neuroendocrine liver metastases using computed tomography radiomic features
Meeting Title: 46th Annual Meeting of the Society of Interventional Radiology (SIR 2021)
Journal Title: Journal of Vascular and Interventional Radiology
Volume: 32
Issue: 5 Suppl.
Meeting Dates: 2021 Mar 20-26
Meeting Location: Virtual Conference
ISSN: 1051-0443
Publisher: Elsevier Science, Inc.  
Date Published: 2021-05-01
Start Page: S15
Language: English
ACCESSION: 149943563
DOI: 10.1016/j.jvir.2021.03.448
PROVIDER: EBSCOhost
PROVIDER: cinahl
DOI/URL:
Notes: Meeting Abstract: 32 -- Accession Number: 149943563 -- Entry Date: In Process -- Revision Date: 20210426 -- Publication Type: Article -- Supplement Title: 2021 Supplement -- Journal Subset: Biomedical; Peer Reviewed; USA -- NLM UID: 9203369. -- Source: Cinahl
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MSK Authors
  1. Diane Lauren Reidy
    294 Reidy
  2. Stephen Solomon
    427 Solomon
  3. Joseph Patrick Erinjeri
    204 Erinjeri
  4. Nitya Prabhakar Raj
    107 Raj
  5. Franz Edward Boas
    77 Boas
  6. Etay   Ziv
    115 Ziv
  7. Ahmed Salama Hussein Mohamed Elsakka
    12 Elsakka
  8. Ryan Jihun Hoang
    1 Hoang