Application of texture analysis based on T2-weighted magnetic resonance images in discriminating Gleason scores of prostate cancer

Autor: Gu Yifeng, Zhenyu Shu, Yuezhu Jia, Feng Jianju, Pan Ruigen, Xueli Yang, Lihua Weng
Rok vydání: 2020
Předmět:
Zdroj: Journal of X-ray science and technology. 28(6)
ISSN: 1095-9114
Popis: OBJECTIVE: To investigate the value of texture analysis in magnetic resonance images for the evaluation of Gleason scores (GS) of prostate cancer. METHODS: Sixty-six prostate cancer patients are retrospective enrolled, which are divided into five groups namely, GS = 6, 3 + 4, 4 + 3, 8 and 9–10 according to postoperative pathological results. Extraction and analysis of texture features in T2-weighted MR imaging defined tumor region based on pathological specimen after operation are performed by texture software OmniKinetics. The values of texture are analyzed by single factor analysis of variance (ANOVA), and Spearman correlation analysis is used to study the correlation between the value of texture and Gleason classification. Receiver operating characteristic (ROC) curve is then used to assess the ability of applying texture parameters to predict Gleason score of prostate cancer. RESULTS: Entropy value increases and energy value decreases as the elevation of Gleason score, both with statistical difference among five groups (F = 10.826, F = 2.796, P
Databáze: OpenAIRE
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