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18 results on '"Zhao, Minning"'

11. Artificial Intelligence-Assisted Analysis of Tumor Growth Pattern, Tumor-Infiltrating Lymphocytes, And Survival from Colorectal Cancer

Author

Ye, Yunrui, primary, Wu, Xiaomei, additional, Wang, Huihui, additional, Ye, Huifen, additional, Zhao, Ke, additional, Li, Yajun, additional, Zhao, Minning, additional, Hu, Qingru, additional, Zhang, Xueli, additional, Yao, Su, additional, Chen, Xin, additional, Liang, Changhong, additional, Liu, Zaiyi, additional, Fan, Xinjuan, additional, Zhang, Qingling, additional, and Huang, Yanqi, additional

Published
2022
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13. The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer

Author

Zhao, Minning, primary, Yao, Su, additional, Li, Zhenhui, additional, Wu, Lin, additional, Xu, Zeyan, additional, Pan, Xipeng, additional, Lin, Huan, additional, Xu, Yao, additional, Yang, Shangqing, additional, Zhang, Shenyan, additional, Li, Yong, additional, Zhao, Ke, additional, Liang, Changhong, additional, and Liu, Zaiyi, additional

Published
2021
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15. Cutoff points of T1 rho/T2 mapping relaxation times distinguishing early-stage and advanced osteoarthritis.

Author

Zhijian Yang, Chao Xie, Songwen Ou, Minning Zhao, Zhaowei Lin, Yang, Zhijian, Xie, Chao, Ou, Songwen, Zhao, Minning, and Lin, Zhaowei

Subjects
MAGNETIC resonance imaging, TOTAL knee replacement, BODY surface mapping, KNEE osteoarthritis, OSTEOARTHRITIS
Abstract

Introduction: The histopathology grading system is the gold standard post-operative method to evaluate cartilage degeneration in knee osteoarthritis (OA). Magnetic resonance imaging (MRI) T1 rho/T2 mapping imaging can be used for preoperative detection. An association between histopathology and T1 rho/T2 mapping relaxation times was suggested in previous research. However, the cutoff point was not determined among different histopathology grades. Our study aimed to determine the cutoff point of T1 rho/T2 mapping.Material and methods: T1 rho/T2 mapping images were acquired from 80 samples before total knee replacements. Then the histopathology grading system was applied.Results: The mean T1 rho/T2 mapping relaxation times of 80 samples were 39.17 ms and 37.98 ms respectively. Significant differences were found in T1 rho/T2 mapping values between early-stage and advanced OA (p < 0.001). The cutoff point for T1 rho was 33 ms with a sensitivity of 94.12 (95% CI: 80-99.3) and a specificity of 91.30 (95% CI: 79.2-97.6). The cutoff point for T2 mapping was suggested as 35.04 ms with a sensitivity of 88.24 (95% CI: 72.5-96.7) and specificity of 97.83 (95% CI: 88.5-99.9). After bootstrap simulation, the 95% CI of the T1 rho/T2 mapping cutoff point was estimated as 29.36 to 36.32 ms and 34.8 to 35.04 ms respectively. The area under the PR curve of T1 rho/T2 mapping was 0.972 (95% CI: 0.925-0.992) and 0.949 (95% CI: 0.877-0.989) respectively.Conclusions: The cutoff point of T1 rho relaxation times, which was suggested as 33 ms, could be used to distinguish early-stage and advanced OA. [ABSTRACT FROM AUTHOR]

Published
2022
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16. Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images

Author

Zhao, Ke, primary, Wu, Lin, additional, Huang, Yanqi, additional, Yao, Su, additional, Xu, Zeyan, additional, Lin, Huan, additional, Wang, Huihui, additional, Liang, Yanting, additional, Xu, Yao, additional, Chen, Xin, additional, Zhao, Minning, additional, Peng, Jiaming, additional, Huang, Yuli, additional, Liang, Changhong, additional, Li, Zhenhui, additional, Li, Yong, additional, and Liu, Zaiyi, additional

Published
2021
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