Back to Search Start Over

Tumor to liver maximum standardized uptake value ratio of FDG-PET/CT parameters predicts tumor treatment response and survival of stage III non-small cell lung cancer.

Authors :
Zhang, Pengfei
Chen, Wei
Zhao, Kewei
Qiu, Xiaowen
Li, Tao
Zhu, Xingzhuang
Sun, Peng
Wang, Chunsheng
Song, Yipeng
Source :
BMC Medical Imaging; 8/15/2023, Vol. 23 Issue 1, p1-9, 9p
Publication Year :
2023

Abstract

Background: To assess the predictive values of primary tumor FDG uptake for patients with inoperable stage III non-small cell lung cancer (NSCLC) after concurrent chemoradiotherapy (CCRT). Methods: A total of 107 patients with diagnosis of stage III NSCLC and CCRT were enrolled. The tumor maximum uptake value (SUVmax) was standardized by calculating several ratios between tumor and each background tissues. The receiver operating characteristics curve (ROC) was used to compare the predictive power of prognostic models. The tumor objective response rate (ORR) and overall survival (OS) were compared and analyzed by the Kaplan–Meier method and univariate and multivariate Cox regression models. Results: The areas under ROC curve (AUCs) ranged from 0.72 to 0.81 among these tumor SUVmax and standardized SUVmax ratios, and the tumor SUVmax and tumor SUVmax-to-liver SUVmean ratio (TLMR) were more predictive of ORR (AUC, 0.81; 95% CI, 0.73–0.88 for tumor SUVmax and AUC, 0.84; 95%CI, 0.76–0.91 for TLMR) than any of other SUVmax ratios. The patients with lower tumor SUVmax, SUVmean and SUVmax ratios had a significantly better OS than those with their corresponding higher ones. Moreover, both univariate and multivariable analyses revealed that TLMR was significantly associated with better ORR and OS after adjustment with other prognostic variables. Conclusions: TLMR, a standardized tumor SUVmax, was an independent prognostic predictor for tumor ORR and OS of patients with stage III NSCLC after CCRT. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712342
Volume :
23
Issue :
1
Database :
Complementary Index
Journal :
BMC Medical Imaging
Publication Type :
Academic Journal
Accession number :
169943621
Full Text :
https://doi.org/10.1186/s12880-023-01067-6