Next Article in Journal
[18F]ML-10 PET: Initial Experience in Glioblastoma Multiforme Therapy Response Assessment
Previous Article in Journal
Spiral Perfusion Imaging with Consecutive Echoes (SPICE™) for the Simultaneous Mapping of DSC- and DCE-MRI Parameters in Brain Tumor Patients: Theory and Initial Feasibility
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Tomography
Volume 2
Issue 4
10.18383/j.tom.2016.00202
tomography-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging

by
Wei Huang
1,2,*,
Brooke R. Beckett
3,
Alina Tudorica
3,
Janelle M. Meyer
4,
Aneela Afzal
1,
Yiyi Chen
2,5,
Atiya Mansoor
6,
James B. Hayden
7,
Yee-Cheen Doung
7,
Arthur Y. Hung
8,
Megan L. Holtorf
2,
Torrie J. Aston
2 and
Christopher W. Ryan
2,4
1
Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA
2
Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
3
Department of Diagnostic Radiology, Oregon Health & Science University, Portland, Oregon, USA
4
Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, Oregon, USA
5
Department of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, Oregon, USA
6
Department of Pathology, Oregon Health & Science University, Portland, Oregon, USA
7
Department of Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, Oregon, USA
8
Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon, USA
*
Author to whom correspondence should be addressed.
Tomography 2016, 2(4), 308-316; https://doi.org/10.18383/j.tom.2016.00202
Submission received: 5 September 2016 / Revised: 8 October 2016 / Accepted: 10 November 2016 / Published: 1 December 2016
Versions Notes

Abstract

This study aims to assess the utility of quantitative dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) parameters in comparison with imaging tumor size for early prediction and evaluation of soft tissue sarcoma response to preoperative chemoradiotherapy. In total, 20 patients with intermediate- to high-grade soft tissue sarcomas received either a phase I trial regimen of sorafenib + chemoradiotherapy (n = 8) or chemoradiotherapy only (n = 12), and underwent DCE-MRI at baseline, after 2 weeks of treatment with sorafenib or after the first chemotherapy cycle, and after therapy completion. MRI tumor size in the longest diameter (LD) was measured according to the RECIST (Response Evaluation Criteria In Solid Tumors) guidelines. Pharmacokinetic analyses of DCE-MRI data were performed using the Shutter-Speed model. After only 2 weeks of treatment with sorafenib or after 1 chemotherapy cycle, Ktrans (rate constant for plasma/interstitium contrast agent transfer) and its percent change were good early predictors of optimal versus suboptimal pathological response with univariate logistic regression C statistics values of 0.90 and 0.80, respectively, whereas RECIST LD percent change was only a fair predictor (C = 0.72). Post-therapy Ktrans, ve (extravascular and extracellular volume fraction), and kep (intravasation rate constant), not RECIST LD, were excellent (C > 0.90) markers of therapy response. Several DCE-MRI parameters before, during, and after therapy showed significant (P < .05) correlations with percent necrosis of resected tumor specimens. In conclusion, absolute values and percent changes of quantitative DCE-MRI parameters provide better early prediction and evaluation of the pathological response of soft tissue sarcoma to preoperative chemoradiotherapy than the conventional measurement of imaging tumor size change.
Keywords: soft tissue sarcoma; therapy response; DCE-MRI; pharmacokinetic modeling; Shutter-Speed model soft tissue sarcoma; therapy response; DCE-MRI; pharmacokinetic modeling; Shutter-Speed model

Share and Cite

MDPI and ACS Style

Huang, W.; Beckett, B.R.; Tudorica, A.; Meyer, J.M.; Afzal, A.; Chen, Y.; Mansoor, A.; Hayden, J.B.; Doung, Y.-C.; Hung, A.Y.; et al. Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Tomography 2016, 2, 308-316. https://doi.org/10.18383/j.tom.2016.00202

AMA Style

Huang W, Beckett BR, Tudorica A, Meyer JM, Afzal A, Chen Y, Mansoor A, Hayden JB, Doung Y-C, Hung AY, et al. Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Tomography. 2016; 2(4):308-316. https://doi.org/10.18383/j.tom.2016.00202

Chicago/Turabian Style

Huang, Wei, Brooke R. Beckett, Alina Tudorica, Janelle M. Meyer, Aneela Afzal, Yiyi Chen, Atiya Mansoor, James B. Hayden, Yee-Cheen Doung, Arthur Y. Hung, and et al. 2016. "Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging" Tomography 2, no. 4: 308-316. https://doi.org/10.18383/j.tom.2016.00202

APA Style

Huang, W., Beckett, B. R., Tudorica, A., Meyer, J. M., Afzal, A., Chen, Y., Mansoor, A., Hayden, J. B., Doung, Y. -C., Hung, A. Y., Holtorf, M. L., Aston, T. J., & Ryan, C. W. (2016). Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Tomography, 2(4), 308-316. https://doi.org/10.18383/j.tom.2016.00202

Article Metrics

Back to TopTop