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Cited by in CrossRef
For: Zeng YR, Yang QH, Liu QY, Min J, Li HG, Liu ZF, Li JX. Dual energy computed tomography for detection of metastatic lymph nodes in patients with hepatocellular carcinoma. World J Gastroenterol 2019; 25(16): 1986-1996 [PMID: 31086466 DOI: 10.3748/wjg.v25.i16.1986]
URL: https://www.wjgnet.com/1948-5182/full/v25/i16/1986.htm
Number Citing Articles
1
Matthijs Ferdinand Kruis. Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual‐energy CTJournal of Applied Clinical Medical Physics 2022; 23(1) doi: 10.1002/acm2.13468
2
Tingrui Guo, Shihua Zhang, Yuan Zhu. An ensemble approach to predict local lymph-node metastasis in cancer based on SMOTE strategy2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) 2022; : 1579 doi: 10.1109/IAEAC54830.2022.9929529
3
Yongcong Yan, Qianlei Zhou, Mengyu Zhang, Haohan Liu, Jianhong Lin, Qinghua Liu, Bingchao Shi, Kai Wen, Ruibin Chen, Jie Wang, Kai Mao, Zhiyu Xiao. Integrated Nomograms for Preoperative Prediction of Microvascular Invasion and Lymph Node Metastasis Risk in Hepatocellular Carcinoma PatientsAnnals of Surgical Oncology 2020; 27(5): 1361 doi: 10.1245/s10434-019-08071-7
4
Xiaoyuan Chen, Yiwei Lu, Xiaoli Shi, Guoyong Han, Jie Zhao, Yun Gao, Xuehao Wang. Development and Validation of a Novel Model to Predict Regional Lymph Node Metastasis in Patients With Hepatocellular CarcinomaFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.835957
5
Yawen Wang, Shihua Zhang. Prediction of Tumor Lymph Node Metastasis Using Wasserstein Distance-Based Generative Adversarial Networks Combing with Neural Architecture Search for PredictingMathematics 2023; 11(3): 729 doi: 10.3390/math11030729
6
Felix Schön, Rebecca Sinzig, Felix Walther, Christoph Georg Radosa, Heiner Nebelung, Maria Eberlein-Gonska, Ralf-Thorsten Hoffmann, Jens-Peter Kühn, Sophia Freya Ulrike Blum. Value of Clinical Information on Radiology Reports in Oncological ImagingDiagnostics 2022; 12(7): 1594 doi: 10.3390/diagnostics12071594
7
Liu-hong Zhu, Fu-nan Wang, Yan-wei Wang, Qi-hua Cheng, Jian-jun Zhou. Differentiation Between Solitary Pulmonary Inflammatory Lesions and Solitary Cancer Using Gemstone Spectral ImagingJournal of Computer Assisted Tomography 2022; 46(2): 300 doi: 10.1097/RCT.0000000000001268
8
Shihua Zhang, Cheng Zhang, Jinke Du, Rui Zhang, Shixiong Yang, Bo Li, Pingping Wang, Wensheng Deng. Prediction of Lymph-Node Metastasis in Cancers Using Differentially Expressed mRNA and Non-coding RNA SignaturesFrontiers in Cell and Developmental Biology 2021; 9 doi: 10.3389/fcell.2021.605977
9
Xuyang Sun, Tetsu Niwa, Soji Ozawa, Jun Endo, Jun Hashimoto. Detecting lymph node metastasis of esophageal cancer on dual-energy computed tomographyActa Radiologica 2022; 63(1): 3 doi: 10.1177/0284185120980144
10
Timo Alexander Auer, Felix Wilhelm Feldhaus, Laura Büttner, Martin Jonczyk, Uli Fehrenbach, Dominik Geisel, Georg Böning. Spectral CT Hybrid Images in the Diagnostic Evaluation of Hypervascular Abdominal Tumors—Potential Advantages in Clinical RoutineDiagnostics 2021; 11(9): 1539 doi: 10.3390/diagnostics11091539
11
Mengting Chen, Yundan Jiang, Xuhui Zhou, Di Wu, Qiuxia Xie. Dual-Energy Computed Tomography in Detecting and Predicting Lymph Node Metastasis in Malignant Tumor Patients: A Comprehensive ReviewDiagnostics 2024; 14(4): 377 doi: 10.3390/diagnostics14040377
12
Huiqiang Mo, Ruisui Huang, Xue Wei, Lifeng Huang, Jianning Huang, Jiong Chen, Mi Qin, Wei Lu, Xiaofang Yu, Manrong Liu, Ke Ding. Diagnosis of Metastatic Lymph Nodes in Patients With Hepatocellular Carcinoma Using Dual-Energy Computed TomographyJournal of Computer Assisted Tomography 2023; 47(3): 355 doi: 10.1097/RCT.0000000000001429
13
Noor Fatima Majeed, Marta Braschi Amirfarzan, Christoph Wald, Jeremy R Wortman. Spectral detector CT applications in advanced liver imagingThe British Journal of Radiology 2021; 94(1123): 20201290 doi: 10.1259/bjr.20201290
14
Pei‐Lin Fan, Jun Chu, Qing Wang, Chen Wang. The clinical value of dual‐energy computed tomography and diffusion‐weighted imaging in the context of liver cancer: A narrative reviewJournal of Clinical Ultrasound 2022; 50(6): 862 doi: 10.1002/jcu.23197