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

Autor: Huang W; Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon., Beckett BR; Department of Diagnostic Radiology, Oregon Health & Science University, Portland, Oregon., Tudorica A; Department of Diagnostic Radiology, Oregon Health & Science University, Portland, Oregon., Meyer JM; Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, Oregon., Afzal A; Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon., Chen Y; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon; Department of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, Oregon., Mansoor A; Department of Pathology, Oregon Health & Science University, Portland, Oregon., Hayden JB; Department of Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, Oregon., Doung YC; Department of Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, Oregon., Hung AY; Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon., Holtorf ML; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon., Aston TJ; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon., Ryan CW; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon; Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, Oregon.
Jazyk: angličtina
Zdroj: Tomography (Ann Arbor, Mich.) [Tomography] 2016 Dec; Vol. 2 (4), pp. 308-316.
DOI: 10.18383/j.tom.2016.00202
Abstrakt: 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, K trans (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 K trans , v e (extravascular and extracellular volume fraction), and k ep (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.
Competing Interests: Oregon Health & Science University and Dr. Wei Huang have a significant financial interest in Imbio, LLC., a company that may have a commercial interest in the results of this research and the Shutter-Speed technology. This potential individual and institutional conflict of interest has been reviewed and managed by Oregon Health & Science University.
Databáze: MEDLINE
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