BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Chen XH, Ren K, Liang P, Chai YR, Chen KS, Gao JB. Spectral computed tomography in advanced gastric cancer: Can iodine concentration non-invasively assess angiogenesis? World J Gastroenterol 2017; 23(9): 1666-1675 [PMID: 28321168 DOI: 10.3748/wjg.v23.i9.1666]
URL: https://www.wjgnet.com/1949-8470/full/v23/i9/1666.htm
Number Citing Articles
1
Shunli Liu, Hua Shi, Changfeng Ji, Wenxian Guan, Ling Chen, Yingshi Sun, Lei Tang, Yue Guan, Weifeng Li, Yun Ge, Jian He, Song Liu, Zhengyang Zhou. CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkersScientific Reports 2018; 8(1) doi: 10.1038/s41598-018-30352-6
2
Rui Wang, Huan Liu, Pan Liang, Huiping Zhao, Liming Li, Jianbo Gao. Radiomics analysis of CT imaging for differentiating gastric neuroendocrine carcinomas from gastric adenocarcinomasEuropean Journal of Radiology 2021; 138: 109662 doi: 10.1016/j.ejrad.2021.109662
3
Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian. Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021; : 3501 doi: 10.1109/EMBC46164.2021.9631004
4
Yuntai Cao, Jing Zhang, Haihua Bao, Guojin Zhang, Xiaohong Yan, Zhan Wang, Jialiang Ren, Yanjun Chai, Zhiyong Zhao, Junlin Zhou. Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal CancerFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.689176
5
Jing Li, Xuejun Chen, Shuning Xu, Yi Wang, Fei Ma, Yue Wu, Jinrong Qu. Predicting pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer: The establishment of a spectral CT-based nomogram from prospective datasetsEuropean Journal of Surgical Oncology 2024; 50(4): 108020 doi: 10.1016/j.ejso.2024.108020
6
Yingdong Chen, Qianwen Huang, Hua Zhong, Anqi Li, Zeyang Lin, Xiaoxi Guo. Correlations between iodine uptake, invasive CT features and pleural invasion in adenocarcinomas with pleural contactScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-43504-0
7
Jingjun Wu, Qinhe Zhang, Ying Zhao, Yijun Liu, Anliang Chen, Xin Li, Tingfan Wu, Jianying Li, Yan Guo, Ailian Liu. Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal CancerFrontiers in Oncology 2019; 9 doi: 10.3389/fonc.2019.01250
8
Tiezhu Ren, Wenjuan Zhang, Shenglin Li, Liangna Deng, Caiqiang Xue, Zhengxiao Li, Suwei Liu, Jiachen Sun, Junlin Zhou. Combination of clinical and spectral-CT parameters for predicting lymphovascular and perineural invasion in gastric cancerDiagnostic and Interventional Imaging 2022; 103(12): 584 doi: 10.1016/j.diii.2022.07.004
9
Min Li, Hongtao Qin, Xianbo Yu, Junyi Sun, Xiaosheng Xu, Yang You, Chongfei Ma, Li Yang. Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine mapInsights into Imaging 2023; 14(1) doi: 10.1186/s13244-023-01477-8
10
J. Deng, W. Zhang, M. Xu, X. Liu, T. Ren, S. Li, Q. Sun, C. Xue, J. Zhou. Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancerClinical Radiology 2024; 79(1): 51 doi: 10.1016/j.crad.2023.08.023
11
Fengfeng Liu, Qun Xie, Qi Wang, Xuejiao Li. Application of deep learning-based CT texture analysis in TNM staging of gastric cancerJournal of Radiation Research and Applied Sciences 2023; 16(3): 100635 doi: 10.1016/j.jrras.2023.100635
12
Huanlei Zhang, Ying Zou, Fengyue Tian, Wenfei Li, Xiaodong Ji, Yu Guo, Qing Li, Shuangyan Sun, Fang Sun, Lianfang Shen, Shuang Xia. Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification systemEuropean Radiology 2022; 32(3): 1921 doi: 10.1007/s00330-021-08265-2
13
Ryosuke Taiji, Hideyuki Nishiofuku, Toshihiro Tanaka, Kiyoyuki Minamiguchi, Yasushi Fukuoka, Natsuhiko Saito, Hidehiko Taguchi, Takeshi Matsumoto, Nagaaki Marugami, Toshiko Hirai, Kimihiko Kichikawa. Useful Parameters in Dynamic Contrast-enhanced Ultrasonography for Identifying Early Response to Chemotherapy in a Rat Liver Tumor ModelJournal of Clinical Imaging Science 2021; 11: 15 doi: 10.25259/JCIS_6_2020
14
Shunli Liu, Chuanyu Zhang, Ruiqing Liu, Shaoke Li, Fenglei Xu, Xuejun Liu, Zhiming Li, Yabin Hu, Yaqiong Ge, Jiao Chen, Zaixian Zhang, Lin Gu. CT Texture Analysis for Preoperative Identification of Lymphoma from Other Types of Primary Small Bowel MalignanciesBioMed Research International 2021; 2021: 1 doi: 10.1155/2021/5519144
15
Xiaomin Ge, Jingping Yu, Zhongling Wang, Yiqun Xu, Changjie Pan, Lu Jiang, Yanling Yang, Kai Yuan, Wei Liu. Comparative study of dual energy CT iodine imaging and standardized concentrations before and after chemoradiotherapy for esophageal cancerBMC Cancer 2018; 18(1) doi: 10.1186/s12885-018-5058-2
16
Wei-bin Chen, Qian-qian Shi, Ze-mao Li, Zhong-yao Li, Li-qing Kang. Diagnostic value of spiral CT energy spectrum imaging in lymph node metastasis of colorectal cancerInternational Journal of Colorectal Disease 2022; 37(9): 2021 doi: 10.1007/s00384-022-04238-z
17
Shunli Liu, Song Liu, Changfeng Ji, Huanhuan Zheng, Xia Pan, Yujuan Zhang, Wenxian Guan, Ling Chen, Yue Guan, Weifeng Li, Jian He, Yun Ge, Zhengyang Zhou. Application of CT texture analysis in predicting histopathological characteristics of gastric cancersEuropean Radiology 2017; 27(12): 4951 doi: 10.1007/s00330-017-4881-1
18
Linyu Wu, Guoquan Cao, Liang Zhao, Kun Tang, Jie Lin, Shouliang Miao, Tingting Lin, Jieke Sun, Xiangwu Zheng. Spectral CT Analysis of Solitary Pulmonary Nodules for Differentiating Malignancy from Benignancy: The Value of Iodine Concentration Spatial Distribution DifferenceBioMed Research International 2018; 2018: 1 doi: 10.1155/2018/4830659
19
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
20
Haiting Yang, Jianqing Sun, Hong Liu, Xianwang Liu, Yingxia She, Wenjuan Zhang, Junlin Zhou. Clinico-radiological nomogram for preoperatively predicting post-resection hepatic metastasis in patients with gastric adenocarcinomaThe British Journal of Radiology 2022; 95(1140) doi: 10.1259/bjr.20220488
21
Jing Li, Yi Wang, Rui Wang, Jian-bo Gao, Jin-rong Qu. Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validationFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.942425
22
Jing Li, Shuning Xu, Yi Wang, Mengjie Fang, Fei Ma, Chunmiao Xu, Hailiang Li. Spectral CT-based nomogram for preoperative prediction of perineural invasion in locally advanced gastric cancer: a prospective studyEuropean Radiology 2023; 33(7): 5172 doi: 10.1007/s00330-023-09464-9
23
Rui-Jia Sun, Meng-Jie Fang, Lei Tang, Xiao-Ting Li, Qiao-Yuan Lu, Di Dong, Jie Tian, Ying-Shi Sun. CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancerEuropean Journal of Radiology 2020; 132: 109277 doi: 10.1016/j.ejrad.2020.109277
24
Tingting Nie, Dan Liu, Shuangquan Ai, Yaoyao He, Miao Yang, Jun Chen, Zilong Yuan, Yulin Liu. A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancerJapanese Journal of Radiology 2023; 41(4): 401 doi: 10.1007/s11604-022-01360-4
25
Yong Chen, Wenqi Xi, Weiwu Yao, Lingyun Wang, Zhihan Xu, Michael Wels, Fei Yuan, Chao Yan, Huan Zhang. Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric CancerFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.659981
26
Jack Junchi Xu, Mikkel Taudorf, Peter Sommer Ulriksen, Michael Patrick Achiam, Timothy Andrew Resch, Michael Bachmann Nielsen, Lars Birger Lönn, Kristoffer Lindskov Hansen. Gastrointestinal Applications of Iodine Quantification Using Dual-Energy CT: A Systematic ReviewDiagnostics 2020; 10(10): 814 doi: 10.3390/diagnostics10100814
27
Satomi Kawamoto. Therapy Response Imaging in OncologyMedical Radiology 2020; : 99 doi: 10.1007/978-3-030-31171-1_7
28
Longbo Zheng, Xunying Zhang, Jilin Hu, Yuan Gao, Xianxiang Zhang, Maoshen Zhang, Shuai Li, Xiaoming Zhou, Tianye Niu, Yun Lu, Dongsheng Wang. Establishment and Applicability of a Diagnostic System for Advanced Gastric Cancer T Staging Based on a Faster Region-Based Convolutional Neural NetworkFrontiers in Oncology 2020; 10 doi: 10.3389/fonc.2020.01238
29
Liguo Zhao, Lianghong Hu, Zhangxian Li, Fenyan Deng, M Pallikonda Rajasekaran. Plan-Do-Check-Action Circulation Combined with Accelerated Rehabilitation Nursing under Computed Tomography in Prevention and Control of Hospital Infection in Elderly Patients Undergoing Elective Orthopedic SurgeryContrast Media & Molecular Imaging 2022; 2022: 1 doi: 10.1155/2022/4574730
30
Jing Li, Shuning Xu, Yi Wang, Fei Ma, Xuejun Chen, Jinrong Qu. Spectral CT vs. diffusion-weighted imaging for the quantitative prediction of pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancerEuropean Radiology 2024;  doi: 10.1007/s00330-024-10642-6
31
Rui Li, Jing Li, Xiaopeng Wang, Pan Liang, Jianbo Gao. Detection of gastric cancer and its histological type based on iodine concentration in spectral CTCancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0176-2
32
Alexey Surov, Raihanatou Diallo-Danebrock, Amin Radi, Jan Robert Kröger, Julius Henning Niehoff, Arwed Elias Michael, Berthold Gerdes, Saleem Elhabash, Andreas Wienke, Jan Borggrefe. Photon Counting Computed Tomography in Rectal Cancer: Associations Between Iodine Concentration, Histopathology and Treatment Response: A Pilot Study.Academic Radiology 2024;  doi: 10.1016/j.acra.2024.02.006
33
Shuting Han, Renjun Huang, Feirong Yao, Ziwei Lu, Jingfen Zhu, Hui Wang, Yonggang Li. Pre-treatment spectral CT combined with CT perfusion can predict hemorrhagic transformation after thrombolysis in patients with acute ischemic strokeEuropean Journal of Radiology 2022; 156: 110543 doi: 10.1016/j.ejrad.2022.110543
34
Jing Li, Mengjie Fang, Rui Wang, Di Dong, Jie Tian, Pan Liang, Jie Liu, Jianbo Gao. Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancerEuropean Radiology 2018; 28(12): 5241 doi: 10.1007/s00330-018-5483-2
35
Q. Li, X. Li, X.-Y. Li, X.-Q. He, Z.-G. Chu, T.-Y. Luo. Histological subtypes of solid-dominant invasive lung adenocarcinoma: differentiation using dual-energy spectral CTClinical Radiology 2021; 76(1): 77.e1 doi: 10.1016/j.crad.2020.08.034
36
Zena Alizzi, Andrew Gogbashian, Emmanouil Karteris, Marcia Hall. Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort studyCancer Imaging 2023; 23(1) doi: 10.1186/s40644-023-00579-2
37
Qi Li, Xian Li, Xing-You Li, Ji-Wen Huo, Fa-Jin Lv, Tian-You Luo. Spectral CT in Lung Cancer: Usefulness of Iodine Concentration for Evaluation of Tumor Angiogenesis and PrognosisAmerican Journal of Roentgenology 2020; 215(3): 595 doi: 10.2214/AJR.19.22688
38
Cen Shi, Jiulong Yan, Yixing Yu, Chunhong Hu. Radiomics Analysis to Predict Lymphovascular Invasion of Gastric Cancer Based on Iodine-Based Material Decomposition Images and Virtual Monoenergetic ImagesJournal of Computer Assisted Tomography 2024; 48(2): 175 doi: 10.1097/RCT.0000000000001563
39
S. Liu, H. Shi, C. Ji, H. Zheng, X. Pan, W. Guan, L. Chen, Y. Sun, L. Tang, Y. Guan, W. Li, Y. Ge, J. He, S. Liu, Z. Zhou. Preoperative CT texture analysis of gastric cancer: correlations with postoperative TNM stagingClinical Radiology 2018; 73(8): 756.e1 doi: 10.1016/j.crad.2018.03.005
40
Dongbo Lyu, Pan Liang, Chencui Huang, Xingzhi Chen, Ming Cheng, Bingbing Zhu, Mengru Liu, Songwei Yue, Jianbo Gao. Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1167602
41
weibin Chen, qianqian Shi, zemao Li, zhongyao Li, liqing Kang. Diagnostic Value of Spiral CT Energy Spectrum Imaging in Lymph Nodes Metastasis Around Colorectal CancerSSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4144533
42
Wentao Dong, Situ Xiong, Pinggui Lei, Xiaolian Wang, Hao Liu, Yangchun Liu, Huachun Zou, Bing Fan, Yingying Qiu. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorizationFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.944005
43
Qinxia Song, Xiangfa Wang, Juan Zhu, Hengfeng Shi. Diagnostic value of dual-source, dual-energy computed tomography combined with the neutrophil-lymphocyte ratio for discriminating gastric signet ring cell from mixed signet ring cell and non-signet ring cell carcinomasAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04286-9
44
Xu Li, Qingwei Liu, Beini Hu, Jingxu Xu, Chencui Huang, Fang Liu. A computed tomography-based clinical-radiomics model for prediction of lymph node metastasis in esophageal carcinomaJournal of Cancer Research and Therapeutics 2021; 17(7): 1665 doi: 10.4103/jcrt.jcrt_1755_21
45
Zhao-Yong Xie, Rui-Mei Chai, Guo-Cheng Ding, Yi Liu, Ke Ren. T and N Staging of Gastric Cancer Using Dual-Source Computed TomographyGastroenterology Research and Practice 2018; 2018: 1 doi: 10.1155/2018/5015202
46
Ningbin Luo, Wenzhu Li, Jisheng Xie, Danhui Fu, Lidong Liu, Xiangyang Huang, Danke Su, Guanqiao Jin. Preoperative normalized iodine concentration derived from spectral CT is correlated with early recurrence of hepatocellular carcinoma after curative resectionEuropean Radiology 2021; 31(4): 1872 doi: 10.1007/s00330-020-07330-6
47
Cen Shi, Yixing Yu, Jiulong Yan, Chunhong Hu. The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancerBMC Medical Imaging 2022; 22(1) doi: 10.1186/s12880-022-00899-y
48
Huiping Zhao, Weiran Li, Wenpeng Huang, Yujiao Yang, Wei Shen, Pan Liang, Jianbo Gao. Dual-Energy CT–Based Nomogram for Decoding HER2 Status in Patients With Gastric CancerAmerican Journal of Roentgenology 2021; 216(6): 1539 doi: 10.2214/AJR.20.23528
49
Li-ming Li, Lei-yu Feng, Xiao-hua Chen, Pan Liang, Jing Li, Jian-bo Gao. Gastric heterotopic pancreas and stromal tumors smaller than 3 cm in diameter: clinical and computed tomography findingsCancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0161-9