Accurate prediction of nodal status in preoperative patients with pancreatic ductal adenocarcinoma using next-gen nanoparticle

Shaunagh McDermott, Sarah P. Thayer, Carlos Fernandez Del Castillo, Mari Mino-Kenudson, Ralph Weissleder, Mukesh G. Harisinghani

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Objective: The objective of this study is to assess lymphotropic nanoparticle-enhanced magnetic resonance imaging (LNMRI) in identifying malignant nodal involvement in patients with pancreatic ductal adenocarcinoma. Methods: Magnetic resonance imaging was performed in 13 patients with known or high index of suspicion of pancreatic cancer and who were scheduled for surgical resection. Protocols included T2*-weighted imaging before and after administration of Ferumoxytol (Feraheme) for the evaluation of lymph node involvement. Eleven of the 13 patients underwent a Whipple procedure and lymph node dissection. Nodes that lacked contrast uptake were deemed malignant, and those that demonstrated homogeneous uptake were deemed benign. Results: A total of 264 lymph nodes were resection, of which 17 were malignant. The sensitivity and specificity of LNMRI was 76.5% and 98.4%at a nodal level and 83.3%and 80%at a patient level. Conclusion: LNMRI demonstrated high sensitivity and specificity in patients with pancreatic ductal adenocarcinoma.

Original languageEnglish (US)
Pages (from-to)670-675
Number of pages6
JournalTranslational Oncology
Volume6
Issue number6
DOIs
StatePublished - Dec 2013

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Accurate prediction of nodal status in preoperative patients with pancreatic ductal adenocarcinoma using next-gen nanoparticle'. Together they form a unique fingerprint.

Cite this