Journal
WORLD JOURNAL OF RADIOLOGY
Volume 8, Issue 1, Pages 90-97Publisher
BAISHIDENG PUBLISHING GROUP INC
DOI: 10.4329/wjr.v8.i1.90
Keywords
Tumor heterogeneity; Dynamic contrast-enhanced magnetic resonance imaging; Image texture analysis; Head and neck squamous cell carcinomas
Funding
- National Cancer Institute/National Institutes of Health [1 R01 CA115895]
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AIM: To investigate the merits of texture analysis on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as imaging biomarkers for the prediction of treatment response in patients with head and neck squamous cell carcinoma (HNSCC). METHODS: In this retrospective study, 19 HNSCC patients underwent pre- and intra-treatment DCE-MRI scans at a 1.5T MRI scanner. All patients had chemo-radiation treatment. Pharmacokinetic modeling was performed on the acquired DCE-MRI images, generating maps of volume transfer rate (K-trans) and volume fraction of the extravascular extracellular space (v(e)). Image texture analysis was then employed on maps of K-trans and v(e), generating two texture measures: Energy (E) and homogeneity. RESULTS: No significant changes were found for the mean and standard deviation for K-trans and v(e) between pre- and intra-treatment (P > 0.09). Texture analysis revealed that the imaging biomarker E of v(e) was significantly higher in intra-treatment scans, relative to pretreatment scans (P < 0.04). CONCLUSION: Chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors.
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