• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Feasibility of MR Metabolomics for Immediate Analysis of Resection Margins during Breast Cancer Surgery

Bathen, Tone Frost; Geurts, Brigitte; Sitter, Beathe; Fjøsne, Hans Erikssønn; Lundgren, Steinar; Buydens, Lutgarde M. C.; Gribbestad, Ingrid S; Postma, Geert; Giskeødegård, Guro F.
Journal article, Peer reviewed
Thumbnail
View/Open
fetchObject13930.pdf (629.4Kb)
URI
http://hdl.handle.net/11250/2367378
Date
2013
Metadata
Show full item record
Collections
  • Institutt for sirkulasjon og bildediagnostikk [1407]
  • Publikasjoner fra CRIStin - NTNU [26751]
Original version
PLoS ONE 2013, 8(4)   10.1371/journal.pone.0061578
Abstract
In this study, the feasibility of high resolution magic angle spinning (HR MAS) magnetic resonance spectroscopy (MRS) of small tissue biopsies to distinguish between tumor and non-involved adjacent tissue was investigated. With the current methods, delineation of the tumor borders during breast cancer surgery is a challenging task for the surgeon, and a significant number of re-surgeries occur. We analyzed 328 tissue samples from 228 breast cancer patients using HR MAS MRS. Partial least squares discriminant analysis (PLS-DA) was applied to discriminate between tumor and non-involved adjacent tissue. Using proper double cross validation, high sensitivity and specificity of 91% and 93%, respectively was achieved. Analysis of the loading profiles from both principal component analysis (PCA) and PLS-DA showed the choline-containing metabolites as main biomarkers for tumor content, with phosphocholine being especially high in tumor tissue. Other indicative metabolites include glycine, taurine and glucose. We conclude that metabolic profiling by HR MAS MRS may be a potential method for on-line analysis of resection margins during breast cancer surgery to reduce the number of re-surgeries and risk of local recurrence.
Publisher
Public Library of Science
Journal
PLoS ONE

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit