日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Integrated predictive model for visceral pleural invasion in small NSCLC with high clinical utility

具有高临床实用性的小型非小细胞肺癌脏层胸膜侵犯预测模型

Yang, Shuyi; Wei, Ying; Wang, Qingle; Zhuo, Yaoyao; Yang, Shan; Shi, Weiya; Gan, Yinwen; Cai, Tingting; He, Yichu; Zhan, Yi; Zhang, Haoling; Shi, Yuxin; Zeng, Mengsu; Shi, Feng; Xue, Zhong; Zhang, Zhiyong; Shan, Fei

Multi-center benchmarking of large language models for clinical decision support in lung cancer screening

针对肺癌筛查临床决策支持的大型语言模型的多中心基准测试

Duan, Zhiyun; Huang, Xu; Lu, Rong; Xu, Wenyi; Liu, Huaning; Geng, Yucai; Takahashi, Natsuki; Wu, Ying; Wang, Qingle; Song, Yang; Xu, Hongbo; Tang, Han; Lan, Fei; Eils, Roland; Tan, Lijie

Identification and validation of poor prognosis immunoevasive subtype of esophageal cancer with tumor-infiltrating SAMD3 + NK cell abundance.

鉴定和验证肿瘤浸润 SAMD3+NK 细胞丰度高的预后不良的免疫逃逸型食管癌亚型

Huang Xu, You Runze, Liu Fangyi, Jian Zitao, Zhou Guanyou, Yin Hao, Wu Mengyuan, Sun Tiantao, Duan Zhiyun, Xu Wenyi, Zhang Shaoyuan, Yang Xinyu, Jiao Heng, Yang Shuyi, Wang Qingle, Yin Jun, Tang Han, Lin Miao, Tan Lijie

Differentiating pulmonary embolism from contrast accumulation-induced beam hardening artifacts using dual-energy CT quantitative parameters

利用双能CT定量参数鉴别肺栓塞与造影剂积聚引起的束硬化伪影

Wang, Qingle; Wang, Heqing; Lin, Chong; Huang, Xu; Chen, Suping; Zhang, Jinhui; Pei, Jinkui; Zhang, Zhiyong; Zhou, Jianjun

Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer

临床病理-CT模型预测可切除早期非小细胞肺癌中PD-L1表达

Zhuo, Yaoyao; Wang, Qingle; Zhan, Yi; Yang, Shuyi; Zhang, Haoling; Yang, Shan; Zhang, Zhiyong; Shan, Fei

Machine learning to predict lymph node metastasis in T1 esophageal squamous cell carcinoma: a multicenter study

利用机器学习预测T1期食管鳞状细胞癌淋巴结转移:一项多中心研究

Huang, Xu; Wang, Qingle; Xu, Wenyi; Liu, Fangyi; Pan, Liangwei; Jiao, Heng; Yin, Jun; Xu, Hongbo; Tang, Han; Tan, Lijie

Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis

将基于深度学习重建图像训练的CT纹理分析模型应用于肺结节诊断中的迭代重建图像

Wang, Qingle; Xu, Shijie; Zhang, Guozhi; Zhang, Xingwei; Gu, Junying; Yang, Shuyi; Zeng, Mengsu; Zhang, Zhiyong

Sensitivity and specificity of magnetic resonance imaging in routine diagnosis of pulmonary lesions: a comparison with computed tomography

磁共振成像在肺部病变常规诊断中的敏感性和特异性:与计算机断层扫描的比较

Yang, Shuyi; Shan, Fei; Shi, Yuxin; Liu, Tiefu; Wang, Qingle; Zhang, Haoling; Zhang, Xingwei; Yang, Shan; Zhang, Zhiyong

Intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner-air density of tumors

肺癌患者双输入全肿瘤计算机断层扫描灌注测量的观察者内和观察者间一致性:肿瘤大小和内部空气密度的影响

Wang, Qingle; Zhang, Zhiyong; Shan, Fei; Shi, Yuxin; Xing, Wei; Shi, Liangrong; Zhang, Xingwei