• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Faculty of Medicine
  • Department of Biomedicine
  • Department of Biomedicine
  • View Item
  •   Home
  • Faculty of Medicine
  • Department of Biomedicine
  • Department of Biomedicine
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging

Fangberget, A.; Nilsen, L. B.; Hole, Knut Håkon; Holmen, M. M.; Engebraaten, O.; Naume, B.; Smith, H.-J.; Olsen, Dag R.; Seierstad, Therese
Peer reviewed, Journal article
Published version
Thumbnail
View/Open
Published version (482.4Kb)
URI
https://hdl.handle.net/1956/5237
Date
2011
Metadata
Show full item record
Collections
  • Department of Biomedicine [596]
Original version
https://doi.org/10.1007/s00330-010-2020-3
Abstract
Objective To explore the predictive value of MRI parameters and tumour characteristics before neoadjuvant chemotherapy (NAC) and to compare changes in tumour size and tumour apparent diffusion coefficient (ADC) during treatment, between patients who achieved pathological complete response (pCR) and those who did not. Methods Approval by the Regional Ethics Committee and written informed consent were obtained. Thirty-one patients with invasive breast carcinoma scheduled for NAC were enrolled (mean age, 50.7; range, 37–72). Study design included MRI before treatment (Tp0), after four cycles of NAC (Tp1) and before surgery (Tp2). Data in pCR versus non-pCR groups were compared and cut-off values for pCR prediction were evaluated. Results Before NAC, HER2 overexpression was the single significant predictor of pCR (p=0.006). At Tp1 ADC, tumour size and changes in tumour size were all significantly different in the pCR and non-pCR groups. Using 1.42×10−3 mm2/s as the cut-off value for ADC, pCR was predicted with sensitivity and specificity of 88% and 80%, respectively. Using a cut-off value of 83% for tumour volume reduction, sensitivity and specificity for pCR were 91% and 80%. Conclusion ADC, tumour size and tumour size reduction at Tp1 were strong independent predictors of pCR.
Publisher
Springer
Copyright
©The Author(s) 2011

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