Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy

Xia Li, Lori R. Arlinghaus, A. Bapsi Chakravarthy, Jaime Farley, Ingrid A. Mayer, Vandana G. Abramson, Mark C. Kelley, Ingrid M. Meszoely, Julie Means-Powell, Thomas E. Yankeelov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

To monitor tumor response to neoadjuvant chemotherapy, investigators have begun to employ quantitative physiological parameters available from dynamic contrast enhanced MRI (DCE-MRI). However, most studies track the changes in these parameters obtained from the tumor region of interest (ROI) or histograms, thereby discarding all spatial information on tumor heterogeneity. In this study, we applied a nonrigid registration to longitudinal DCE-MRI data and performed a voxel-by-voxel analysis to examine the ability of early changes in parameters at the voxel level to separate pathologic complete responders (pCR) from non-responders (NR). Twenty-two patients were examined using DCE-MRI pre-, post one cycle, and at the conclusion of all neoadjuvant chemotherapy. The fast exchange regime model (FXR) was applied to both the original and registered DCE-MRI data to estimate tumor-related parameters. The results indicate that compared with the ROI analysis, the voxel-based analysis after longitudinal registration may improve the ability of DCE-MRI to separate complete responders from non-responders after one cycle of therapy when using the FXR model (p = 0.02).

Original languageEnglish (US)
Title of host publicationBiomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings
Pages229-235
Number of pages7
DOIs
StatePublished - Jul 24 2012
Event5th International Workshop on Biomedical Image Registration, WBIR 2012 - Nashville, TN, United States
Duration: Jul 7 2012Jul 8 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7359 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Biomedical Image Registration, WBIR 2012
CountryUnited States
CityNashville, TN
Period7/7/127/8/12

Fingerprint

Chemotherapy
Breast Cancer
Magnetic resonance imaging
Registration
Voxel
Tumors
Tumor
Predict
Region of Interest
Longitudinal Analysis
Cycle
Non-rigid Registration
Spatial Information
Histogram
Therapy
Monitor
Model
Estimate

Keywords

  • DCE-MRI
  • Longitudinal registration
  • breast cancer

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Li, X., Arlinghaus, L. R., Chakravarthy, A. B., Farley, J., Mayer, I. A., Abramson, V. G., ... Yankeelov, T. E. (2012). Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. In Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings (pp. 229-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7359 LNCS). https://doi.org/10.1007/978-3-642-31340-0_24

Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. / Li, Xia; Arlinghaus, Lori R.; Chakravarthy, A. Bapsi; Farley, Jaime; Mayer, Ingrid A.; Abramson, Vandana G.; Kelley, Mark C.; Meszoely, Ingrid M.; Means-Powell, Julie; Yankeelov, Thomas E.

Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings. 2012. p. 229-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7359 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, X, Arlinghaus, LR, Chakravarthy, AB, Farley, J, Mayer, IA, Abramson, VG, Kelley, MC, Meszoely, IM, Means-Powell, J & Yankeelov, TE 2012, Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. in Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7359 LNCS, pp. 229-235, 5th International Workshop on Biomedical Image Registration, WBIR 2012, Nashville, TN, United States, 7/7/12. https://doi.org/10.1007/978-3-642-31340-0_24
Li X, Arlinghaus LR, Chakravarthy AB, Farley J, Mayer IA, Abramson VG et al. Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. In Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings. 2012. p. 229-235. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-31340-0_24
Li, Xia ; Arlinghaus, Lori R. ; Chakravarthy, A. Bapsi ; Farley, Jaime ; Mayer, Ingrid A. ; Abramson, Vandana G. ; Kelley, Mark C. ; Meszoely, Ingrid M. ; Means-Powell, Julie ; Yankeelov, Thomas E. / Early DCE-MRI changes after longitudinal registration may predict breast cancer response to neoadjuvant chemotherapy. Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings. 2012. pp. 229-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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