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Journal of Biomedical Optics

Diffuse optical measurements of head and neck tumor hemodynamics for early prediction of chemoradiation therapy outcomes
Author(s): Lixin Dong; Mahesh Kudrimoti; Daniel Irwin; Li Chen; Sameera Kumar; Yu Shang; Chong Huang; Ellis L. Johnson; Scott D. Stevens; Brent J. Shelton; Guoqiang Yu
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Paper Abstract

This study used a hybrid near-infrared diffuse optical instrument to monitor tumor hemodynamic responses to chemoradiation therapy for early prediction of treatment outcomes in patients with head and neck cancer. Forty-seven patients were measured once per week to evaluate the hemodynamic status of clinically involved cervical lymph nodes as surrogates for the primary tumor response. Patients were classified into two groups: complete response (CR) (n=29) and incomplete response (IR) (n=18). Tumor hemodynamic responses were found to be associated with clinical outcomes (CR/IR), wherein the associations differed depending on human papillomavirus (HPV-16) status. In HPV-16 positive patients, significantly lower levels in tumor oxygenated hemoglobin concentration ([HbO2]) at weeks 1 to 3, total hemoglobin concentration at week 3, and blood oxygen saturation (StO2) at week 3 were found in the IR group. In HPV-16 negative patients, significantly higher levels in tumor blood flow index and reduced scattering coefficient (μ′s) at week 3 were observed in the IR group. These hemodynamic parameters exhibited significantly high accuracy for early prediction of clinical outcomes, within the first three weeks of therapy, with the areas under the receiver operating characteristic curves (AUCs) ranging from 0.83 to 0.96.

Paper Details

Date Published: 26 August 2016
PDF: 11 pages
J. Biomed. Opt. 21(8) 085004 doi: 10.1117/1.JBO.21.8.085004
Published in: Journal of Biomedical Optics Volume 21, Issue 8
Show Author Affiliations
Lixin Dong, Univ. of Kentucky College of Engineering (United States)
Mahesh Kudrimoti, Univ. of Kentucky College of Medicine (United States)
Daniel Irwin, Univ. of Kentucky College of Engineering (United States)
Li Chen, Univ. of Kentucky (United States)
Univ. of Kentucky College of Public Health (United States)
Sameera Kumar, Univ. of Kentucky College of Medicine (United States)
Yu Shang, Univ. of Kentucky College of Engineering (United States)
Chong Huang, Univ. of Kentucky College of Engineering (United States)
Ellis L. Johnson, Univ. of Kentucky College of Medicine (United States)
Scott D. Stevens, Univ. of Kentucky College of Medicine (United States)
Brent J. Shelton, Univ. of Kentucky (United States)
Univ. of Kentucky College of Public Health (United States)
Guoqiang Yu, Univ. of Kentucky College of Engineering (United States)


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