A Novel Method for Evaluating Early Tumor Response Based on Daily CBCT Images for Lung SBRT

Cancers (Basel). 2023 Dec 19;16(1):20. doi: 10.3390/cancers16010020.

Abstract

Background: We aimed to develop a new tumor response assessment method for lung SBRT.

Methods: In total, 132 lung cancer patients with 134 tumors who received SBRT treatment with daily CBCT were included in this study. The information about tumor size (area), contrast (contrast-to-noise ratio (CNR)), and density/attenuation (μ) was derived from the CBCT images for the first and the last fractions. The ratios of tumor area, CNR, and μ (RA, RCNR, Rμ) between the last and first fractions were calculated for comparison. The product of the three rations was defined as a new parameter (R) for assessment. Tumor response was independently assessed by a radiologist based on a comprehensive analysis of the CBCT images.

Results: R ranged from 0.27 to 1.67 with a mean value of 0.95. Based on the radiologic assessment results, a receiver operation characteristic (ROC) curve with the area under the curve (AUC) of 95% was obtained and the optimal cutoff value (RC) was determined as 1.1. The results based on RC achieved a 94% accuracy, 94% specificity, and 90% sensitivity.

Conclusion: The results show that R was correlated with early tumor response to lung SBRT and that using R for evaluating tumor response to SBRT would be viable and efficient.

Keywords: cone-beam computerized tomography (CBCT); stereotactic radiation therapy (SBRT); tumor area; tumor contrast-to-noise ratio (CNR); tumor linear attenuation coefficient (μ); tumor response assessment.

Grants and funding

This research received no external funding.