DCE-MRI Quantitative Parameters as Predictors of Treatment Response in Patients With Locally Advanced Cervical Squamous Cell Carcinoma Underwent CCRT

Copyright © 2020 Liu, Sun, Ma, Ren, Zhang, Wei, Hou, Hou, Wei, Huan and Zheng..

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 (Ktrans), reflux rate (Kep), fractional extravascular extracellular space volume (Ve), and fractional plasma volume (Vp) were calculated, and percentage changes ΔKtrans, ΔKep, ΔVe, and ΔVp 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: Ktrans-e0, Kep -e0, ΔKtrans, and ΔVe were positively correlated with the tumor regression rate. Mean values of Ktrans-e0, Ktrans-e3, ΔKtrans, and ΔVe were higher in the non-residual tumor group than residual tumor group and were independent prognostic factors for predicting residual tumor occurrence. Ktrans-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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Frontiers in oncology - 10(2020) vom: 28., Seite 585738

Sprache:

Englisch

Beteiligte Personen:

Liu, Bing [VerfasserIn]
Sun, Zhen [VerfasserIn]
Ma, Wan-Ling [VerfasserIn]
Ren, Jing [VerfasserIn]
Zhang, Guang-Wen [VerfasserIn]
Wei, Meng-Qi [VerfasserIn]
Hou, Wei-Huan [VerfasserIn]
Hou, Bing-Xin [VerfasserIn]
Wei, Li-Chun [VerfasserIn]
Huan, Yi [VerfasserIn]
Zheng, Min-Wen [VerfasserIn]

Links:

Volltext

Themen:

Cervical cancer
Concurrent chemoradiotherapy
Dynamic contrast-enhanced magnetic resonance imaging
Journal Article
Tofts DCE-MRI model
Treatment response

Anmerkungen:

Date Revised 18.04.2022

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fonc.2020.585738

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM317621327