Combination of DCE-MRI and DWI in Predicting the Treatment Effect of Concurrent Chemoradiotherapy in Esophageal Carcinoma.

Abstract

BACKGROUND:

Concurrent chemoradiotherapy (CCRT) is the main treatment for esophageal cancer, but the response to treatment varies from individual to individual. MR imaging methods, such as diffusion-weighted (DW) MRI and the use of dynamic contrast-enhanced (DCE) MRI, have the potential to provide additional biomarkers that could evaluate the effect of CCRT in patients with esophageal carcinoma.

MATERIALS AND METHODS:

Fifty-six patients with esophageal carcinoma, verified by histopathology, underwent MRI examination before and at midtreatment (4th week, radiotherapy 30-40 Gy) using the Siemens 3.0 T MR System. Parameter maps of apparent diffusion coefficient (ADC), and DCE maps of volume transfer constant (K rans), rate contrast (k ep), and extracellular fluid space (v e), were computed using a Siemens Company Multimodality Workplace (MMWP) model. Comparison of histogram parameters and their diagnostic performance was determined using the Mann-Whitney U test and receiver operating characteristic (ROC) analysis.

RESULTS:

56 patient MRI scans were available for analysis at baseline and at the third week, respectively. Pretreatment K rans, pretreatment k ep, pretreatment ADC (P < 0.05), and during-treatment K rans (P < 0.05) and ΔK rans and ΔADC (P < 0.05) were significantly different after CCRT. Based on the binary logistic model, the ROC analysis demonstrated that the combined predictors demonstrated a high diagnostic performance with an AUC of 0.939. The sensitivity and specificity were 98.6% and 73.8%, respectively.

CONCLUSION:

The combination of DCE and DWI can be used as an early biomarker in the prediction of the effect of CCRT three weeks after treatment in esophageal carcinoma.

• Authors: Changmin Liu, Roger Sun, Jing Wang, Fangling Ning, Zhenbo Wang, Judong Luo, Shaoshui Chen, Shuanghu Yuan
• Journal: BioMed research international (Biomed Res Int) Vol. 2020 Pg. 2576563 ( 2020) ISSN: 2314-6141 [Electronic] United States
• PMID: 32626736 (Publication Type: Journal Article)
• Copyright: Copyright © 2020 Changmin Liu et al.

Topics

• Aged
• Aged, 80 and over
• Chemoradiotherapy
• Esophageal Neoplasms (diagnostic imaging, epidemiology, pathology, therapy)
• Esophagus (diagnostic imaging, pathology)
• Female
• Humans
• Magnetic Resonance Imaging (methods)
• Male
• Middle Aged
• Sensitivity and Specificity
• Treatment Outcome