183
Views
11
CrossRef citations to date
0
Altmetric
Original Articles: Clinical

FDG-PET in prediction of splenectomy findings in patients with known or suspected lymphoma

, , , , , , , , , , & show all
Pages 719-726 | Received 01 Dec 2007, Accepted 16 Jan 2008, Published online: 01 Jul 2009
 

Abstract

Diagnostic splenectomy is frequently performed in patients with suspected or known lymphoma. We evaluated whether preoperative 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) results may correlate with splenic pathology. Of 165 patients undergoing splenectomy at the Weill Cornell Medical Centre/New York Presbyterian Hospital from 2004 to 2006, 10 were identified as being performed to evaluate known or suspected lymphoma and included a pre-splenectomy FDG-PET scan. The scans were assigned to low, intermediate or high splenic metabolic activity based on standardized uptake values (SUV). Low activity was associated with benign findings or mantle cell lymphoma at splenectomy, intermediate activity with marginal zone lymphoma and high activity with DLBCL. This comprises the largest pathologically confirmed series of cases to evaluate splenic FDG-PET uptake in suspected or known lymphoma. Low splenic SUV appears less likely to be associated with splenic involvement of lymphoma; intermediate and high values suggest presence of lymphoma. Our findings support a potential role for preoperative FDG-PET in consideration of the need for splenectomy in these settings.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,065.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.