DCE-MRI Quantitative Parameters As Predictors of Treatment Response in Patients With Locally Advanced Cervical Squamous Cell Carcinoma Underwent CCRT
Overview
Authors
Affiliations
Purpose: To evaluate the predictive value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative parameters in treatment response to concurrent chemoradiotherapy (CCRT) for locally advanced cervical squamous cell carcinoma (LACSC).
Methods And Materials: LACSC patients underwent CCRT had DCE-MRI before (e0) and after 3 days of treatment (e3). Extended Tofts Linear model with a user arterial input function was adopted to generate quantitative measurements. Endothelial transfer constant (K), reflux rate (K), fractional extravascular extracellular space volume (V), and fractional plasma volume (V) were calculated, and percentage changes ΔK, ΔK, ΔV, and ΔV were computed. The correlations of these measurements with the tumor regression rate were analyzed. The predictive value of these parameters on treatment outcome was generated by the receiver operating characteristic (ROC) curve. Univariate and multivariate logistic regression analyses were conducted to find the independent variables.
Results: K-e0, K -e0, ΔK, and ΔV were positively correlated with the tumor regression rate. Mean values of K-e0, K-e3, ΔK, and ΔV were higher in the non-residual tumor group than residual tumor group and were independent prognostic factors for predicting residual tumor occurrence. K-e3 showed the highest area under the curve (AUC) for treatment response prediction.
Conclusions: Quantitative parameters at e0 and e3 from DCE-MRI could be used as potential indicators for predicting treatment response of LACSC.
DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.
Cohen O, Kargar S, Woo S, Vargas A, Otazo R MAGMA. 2024; 37(6):1077-1090.
PMID: 39112813 DOI: 10.1007/s10334-024-01189-0.
Bai L, Zhang L World J Gastrointest Surg. 2024; 16(7):2135-2144.
PMID: 39087125 PMC: 11287686. DOI: 10.4240/wjgs.v16.i7.2135.
DCE-Qnet: Deep Network Quantification of Dynamic Contrast Enhanced (DCE) MRI.
Cohen O, Kargar S, Woo S, Vargas A, Otazo R ArXiv. 2024; .
PMID: 38827459 PMC: 11142325.
Avesani G, Perazzolo A, Amerighi A, Celli V, Panico C, Sala E Life (Basel). 2023; 13(6).
PMID: 37374150 PMC: 10303560. DOI: 10.3390/life13061368.
Liu B, Sun Z, Xu Z, Zhao H, Wen D, Li Y Front Oncol. 2022; 11:812993.
PMID: 35145910 PMC: 8821662. DOI: 10.3389/fonc.2021.812993.