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The value of magnetic resonance texture analysis in evaluating the efficacy of neoadjuvant chemoradiotherapy for rectal cancer |
SUN Li1, LI Shao-dong1, WU Xue-yuan2, GONG Shu-hui1, CHEN Wen-lin3, ZHANG Tao2, GAO Jing-jing1 |
1. Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou Jiangsu 221002, China;
2. Department of Radiology, Xuzhou No.1 Hospital, Xuzhou Jiangsu 221000, China;
3. Department of Radiology, Xuzhou Matemity and Child Health Care Hospital, Xuzhou Jiangsu 221009, China |
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Abstract Objective: To explore the efficacy predicting value of pretreatment MRI texture analysis(TA) in patients with rectal cancer receiving neoadjuvant chemoradiotherapy(nCRT). Methods: Fifty-eight patients who received nCRT, followed by total mesorectal excision(TME) surgery for advanced rectal cancer were included. Dworak tumour regression grade(TRG) method was used to assess treatment response, patients were divided into complete response group(pCR, TRG 4) and non-pCR group(TRG 0~3). TA parameters were measured based on the AX T2 propeller sequence of MRI, including standard deviation, skewness, kurtosis, uniformity, energy, and entropy. Statistical analysis was performed on these parameters. Results: Sixteen pCR and 42 non-pCR patients were evaluated. The Wilcoxon rank sum test showed that the difference between pre-entropy and after-entropy in two groups has significant difference(P<0.05). The Mann-Whitney U test showed significant differences between pCR and non-pCR groups in standard deviation, uniformity, energy and entropy(P<0.05), and the others have no significant difference(P>0.05). For pre-standard deviation, pre-entropy, pre-energy, pre-uniformity, after-energy and after-entropy, the ROC analysis showed an area under the curve(AUC) of 0.769, 0.805, 0.807, 0.685, 0.893 and 0.899, respectively. The Spearman test showed that the response to treatment was positively correlated with energy and uniformity, and negatively correlated with standard deviation and entropy. Conclusion: The MRI TA of recal cancer has the predicting value on treatment response.
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Received: 27 September 2018
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