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Predicting the Effects of Radiotherapy Based on Diffusion Kurtosis Imaging in a Xenograft Mouse Model of Esophageal Carcinoma

Overview
Journal Exp Ther Med
Specialty Pathology
Date 2021 Mar 18
PMID 33732300
Citations 4
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Abstract

The aim of the present study was to assess the predictive value of diffusion kurtosis imaging (DKI) on the effects of radiotherapy in a xenograft model of esophageal cancer. A total of 40 tumor-bearing mice, established by injection of Eca-109 cells in nude mice, were used. The experimental group (n=24) received a single dose of 15 Gy (6 MV by X-ray), and the control group (n=16) did not receive any treatment. Tumor volume, apparent diffusion coefficient (ADC), mean kurtosis (MK) and mean diffusivity (MD) of the two groups were compared, and the expression of aquaporin (AQP) 3 and necrosis ratio at matched time points in xenografts were also observed. There was a significant difference between the two groups from the 7th day of radiotherapy onwards; the xenograft volume of the experimental group was significantly smaller compared with the control group (P<0.05). On the 3rd day, the ADC and MD of the experimental group was significantly higher compared with the control group, and MK was significantly lower compared with the control group (P<0.05). On the 3rd day, AQP3 expression in the experimental group was lower compared with the control group, and the proportion of necrotic cells was higher compared with the control group (P<0.05). Single large fraction dose radiotherapy inhibited the growth of a xenografted esophageal tumor. Changes in ADC, MK and MD were observed prior to morphological changes in the tumor. The change in AQP3 expression and necrosis ratio was in also agreement with the DKI parameters assessed. DKI may thus provide early predictive ability on the effect of radiotherapy in esophageal carcinoma.

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References
1.
Kusayama M, Wada K, Nagata M, Ishimoto S, Takahashi H, Yoneda M . Critical role of aquaporin 3 on growth of human esophageal and oral squamous cell carcinoma. Cancer Sci. 2011; 102(6):1128-36. DOI: 10.1111/j.1349-7006.2011.01927.x. View

2.
Liu X, Zhou L, Peng W, Wang H, Zhang Y . Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues. J Magn Reson Imaging. 2015; 42(4):1078-85. DOI: 10.1002/jmri.24872. View

3.
Sun K, Chen X, Chai W, Fei X, Fu C, Yan X . Breast Cancer: Diffusion Kurtosis MR Imaging-Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors. Radiology. 2015; 277(1):46-55. DOI: 10.1148/radiol.15141625. View

4.
Fusco R, Petrillo M, Granata V, Filice S, Sansone M, Catalano O . Magnetic Resonance Imaging Evaluation in Neoadjuvant Therapy of Locally Advanced Rectal Cancer: A Systematic Review. Radiol Oncol. 2017; 51(3):252-262. PMC: 5611989. DOI: 10.1515/raon-2017-0032. View

5.
Pan J, Zang L, Zhang Y, Hong J, Yao Y, Zou C . Early changes in apparent diffusion coefficients predict radiosensitivity of human nasopharyngeal carcinoma xenografts. Laryngoscope. 2012; 122(4):839-43. DOI: 10.1002/lary.23208. View