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

PNET-PRISM: a multicenter-validated radiomics nomogram for noninvasive grading of pancreatic neuroendocrine tumors

PNET-PRISM：一种经多中心验证的放射组学列线图，用于胰腺神经内分泌肿瘤的非侵入性分级

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-026-02250-3
Li, Ying; Chen, Chengwei; Lu, Mingzhi; Liu, Jiajun; Yu, Jieyu; Zheng, Danqun; Zheng, Yilun; Shen, Yixuan; Liu, Fang; Wang, Tiegong; Fang, Xu; Li, Jing; Lu, Jianping; Shao, Chengwei; Bian, Yun
肿瘤
肿瘤免疫
发表日期：2026
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Development and validation of a pathomics model for accurate grading of pancreatic neuroendocrine tumors

胰腺神经内分泌肿瘤病理组学模型的开发与验证，以实现肿瘤的准确分级

期刊:npj Precision Oncology
影响因子:8
doi:10.1038/s41698-025-01032-2
Li, Ying; Chen, Chengwei; Zhang, Yunshuo; Yu, Jieyu; Fang, Xu; Liu, Fang; Wang, Tiegong; Li, Jing; Wang, Li; Lu, Jianping; Jiang, Hui; Shao, Chengwei; Bian, Yun
肿瘤
肿瘤免疫
发表日期：2025
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Rates and Patterns of Recurrence After Microwave Ablation of Colorectal Liver Metastases: A Per Lesion Analysis of 416 Tumors in the Era of 2.45 GHz Generators

2.45 GHz 发生器时代 416 例结直肠肝转移瘤微波消融术后复发率及复发模式：逐病灶分析

期刊:Annals of Surgical Oncology
影响因子:3.5
doi:10.1245/s10434-023-13751-6
Karagkounis, Georgios; McIntyre, Sarah M; Wang, Tiegong; Chou, Joanne F; Nasar, Naaz; Gonen, Mithat; Balachandran, Vinod P; Wei, Alice C; Soares, Kevin C; Drebin, Jeffrey A; D'Angelica, Michael I; Jarnagin, William R; Kingham, T Peter
发表日期：2023
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Non-enhanced magnetic resonance imaging-based radiomics model for the differentiation of pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma

基于非增强磁共振成像的放射组学模型用于鉴别胰腺腺鳞癌和胰腺导管腺癌

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2023.1108545
Li, Qi; Li, Xuezhou; Liu, Wenbin; Yu, Jieyu; Chen, Yukun; Zhu, Mengmeng; Li, Na; Liu, Fang; Wang, Tiegong; Fang, Xu; Li, Jing; Lu, Jianping; Shao, Chengwei; Bian, Yun
肿瘤
肿瘤免疫
发表日期：2023
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Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?

胰腺癌切除术后复发：放射组学能否预测肝转移风险最高的患者？

期刊:Annals of Surgical Oncology
影响因子:3.5
doi:10.1245/s10434-022-11579-0
Zambirinis, Constantinos P; Midya, Abhishek; Chakraborty, Jayasree; Chou, Joanne F; Zheng, Jian; McIntyre, Caitlin A; Koszalka, Maura A; Wang, Tiegong; Do, Richard K; Balachandran, Vinod P; Drebin, Jeffrey A; Kingham, T Peter; D'Angelica, Michael I; Allen, Peter J; Gönen, Mithat; Simpson, Amber L; Jarnagin, William R
胰腺癌
肿瘤
肿瘤免疫
发表日期：2022
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Distribution of FFRCT in single obstructive coronary stenosis and predictors for major adverse cardiac events: a propensity score matching study

单支阻塞性冠状动脉狭窄患者的 FFRCT 分布及主要不良心脏事件的预测因素：一项倾向评分匹配研究

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-022-00783-9
Jin, Xianglan; Jin, Xiangyu; Wu, Xiaoyun; Chen, Luguang; Wang, Tiegong; Zang, Wangfu
发表日期：2022
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Machine learning radiomics can predict early liver recurrence after resection of intrahepatic cholangiocarcinoma

机器学习放射组学可以预测肝内胆管癌切除术后早期肝脏复发

期刊:
影响因子:
doi:10.1016/j.hpb.2022.02.004
Jolissaint, Joshua S; Wang, Tiegong; Soares, Kevin C; Chou, Joanne F; Gönen, Mithat; Pak, Linda M; Boerner, Thomas; Do, Richard K G; Balachandran, Vinod P; D'Angelica, Michael I; Drebin, Jeffrey A; Kingham, T P; Wei, Alice C; Jarnagin, William R; Chakraborty, Jayasree
肿瘤
胆管癌
肿瘤免疫
发表日期：2022
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Differentiating prostate cancer from benign prostatic hyperplasia using whole-lesion histogram and texture analysis of diffusion- and T2-weighted imaging

利用扩散加权成像和T2加权成像的全病灶直方图和纹理分析鉴别前列腺癌和良性前列腺增生

期刊:Cancer Imaging
影响因子:3.5
doi:10.1186/s40644-021-00423-5
Xing, Pengyi; Chen, Luguang; Yang, Qingsong; Song, Tao; Ma, Chao; Grimm, Robert; Fu, Caixia; Wang, Tiegong; Peng, Wenjia; Lu, Jianping
肿瘤
肿瘤免疫
前列腺增生
前列腺癌
免疫/内分泌
发表日期：2021
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CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion

基于CT灌注成像的ASPECTS评分可提高大血管闭塞早期缺血性改变的诊断性能

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-021-00593-5
Wang, Tiegong; Chen, Luguang; Jin, Xianglan; Yuan, Yuan; Zhang, Qianwen; Shao, Chengwei; Lu, Jianping
发表日期：2021
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Differentiating T1a-T1b from T2 in gastric cancer lesions with three different measurement approaches based on contrast-enhanced T1W imaging at 3.0 T

基于3.0T对比增强T1加权成像，采用三种不同的测量方法区分胃癌病灶中的T1a-T1b期和T2期。

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-021-00672-7
Yuan, Yuan; Ren, Shengnan; Wang, Tiegong; Shen, Fu; Hao, Qiang; Lu, Jianping
胃癌
肿瘤
肿瘤免疫
发表日期：2021
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