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Texture analysis of thymic epithelial tumor

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https://read.qxmd.com/read/30877464/predicting-pathological-subtypes-and-stages-of-thymic-epithelial-tumors-using-dwi-value-of-combining-adc-and-texture-parameters
#1
Bo Li, Yong-Kang Xin, Gang Xiao, Gang-Feng Li, Shi-Jun Duan, Yu Han, Xiu-Long Feng, Wei-Qiang Yan, Wei-Cheng Rong, Shu-Mei Wang, Yu-Chuan Hu, Guang-Bin Cui
OBJECTIVES: To explore the value of combining apparent diffusion coefficients (ADC) and texture parameters from diffusion-weighted imaging (DWI) in predicting the pathological subtypes and stages of thymic epithelial tumors (TETs). METHODS: Fifty-seven patients with TETs confirmed by pathological analysis were retrospectively enrolled. ADC values and optimal texture feature parameters were compared for differences among low-risk thymoma (LRT), high-risk thymoma (HRT), and thymic carcinoma (TC) by one-way ANOVA, and between early and advanced stages of TETs were tested using the independent samples t test...
March 15, 2019: European Radiology
https://read.qxmd.com/read/28624025/quantitative-computed-tomography-texture-analysis-for-estimating-histological-subtypes-of-thymic-epithelial-tumors
#2
Koichiro Yasaka, Hiroyuki Akai, Masanori Nojima, Aya Shinozaki-Ushiku, Masashi Fukayama, Jun Nakajima, Kuni Ohtomo, Shigeru Kiryu
OBJECTIVES: To investigate whether high-risk thymic epithelial tumor (TET) (HTET) can be differentiated from low-risk TET (LTET) using computed tomography (CT) quantitative texture analysis. MATERIALS AND METHODS: The data of 39 patients (mean age, 58.6±14.1 years) (39 unenhanced CT (UECT) and 33 contrast-enhanced CT (CECT)) who underwent thymectomy for TET were retrospectively analyzed. A region of interest was placed to include the entire TET within the slice at its maximum diameter...
July 2017: European Journal of Radiology
https://read.qxmd.com/read/26868139/differentiating-the-grades-of-thymic-epithelial-tumor-malignancy-using-textural-features-of-intratumoral-heterogeneity-via-18-f-fdg-pet-ct
#3
Hyo Sang Lee, Jungsu S Oh, Young Soo Park, Se Jin Jang, Ik Soo Choi, Jin-Sook Ryu
OBJECTIVE: We aimed to explore the ability of textural heterogeneity indices determined by (18)F-FDG PET/CT for grading the malignancy of thymic epithelial tumors (TETs). METHODS: We retrospectively enrolled 47 patients with pathologically proven TETs who underwent pre-treatment (18)F-FDG PET/CT. TETs were classified by pathological results into three subgroups with increasing grades of malignancy: low-risk thymoma (LRT; WHO classification A, AB and B1), high-risk thymoma (B2 and B3), and thymic carcinoma (TC)...
May 2016: Annals of Nuclear Medicine
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