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Cited by in CrossRef
For: Hayano K, Ohira G, Hirata A, Aoyagi T, Imanishi S, Tochigi T, Hanaoka T, Shuto K, Matsubara H. Imaging biomarkers for the treatment of esophageal cancer. World J Gastroenterol 2019; 25(24): 3021-3029 [PMID: 31293338 DOI: 10.3748/wjg.v25.i24.3021]
URL: https://www.wjgnet.com/1007-9327/full/v25/i24/3021.htm
Number Citing Articles
1
Shinichi Okazumi, Gaku Ohira, Koichi Hayano, Tomoyoshi Aoyagi, Shunsuke Imanishi, Hisahiro Matsubara. Novel Advances in Qualitative Diagnostic Imaging for Decision Making in Multidisciplinary Treatment for Advanced Esophageal CancerJournal of Clinical Medicine 2024; 13(2): 632 doi: 10.3390/jcm13020632
2
Apurva Bonde, Sean Daly, Julia Kirsten, Sainath Kondapaneni, Vincent Mellnick, Christine O. Menias, Venkata S. Katabathina. Human Gut Microbiota–associated Gastrointestinal Malignancies: A Comprehensive ReviewRadioGraphics 2021; 41(4): E1103 doi: 10.1148/rg.2021200168
3
Hiroshi Mashimo, Stuart R. Gordon, Satish K. Singh. Advanced endoscopic imaging for detecting and guiding therapy of early neoplasias of the esophagusAnnals of the New York Academy of Sciences 2020; 1482(1): 61 doi: 10.1111/nyas.14523
4
Lifeng Jiang, Qixian Yang. HOXA10 enhances cell proliferation and suppresses apoptosis in esophageal cancer via activating p38/ERK signaling pathwayOpen Medicine 2022; 17(1): 1750 doi: 10.1515/med-2022-0558
5
Jiwen Xu, Xiaoyan Liu, Xueting Liu, Yunlai Zhi. Long noncoding RNA KCNMB2-AS1 promotes the development of esophageal cancer by modulating the miR-3194-3p/PYGL axisBioengineered 2021; 12(1): 6687 doi: 10.1080/21655979.2021.1973775
6
Vikrant Rai, Joe Abdo, Devendra K. Agrawal. Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal CancersInternational Journal of Molecular Sciences 2023; 24(4): 3316 doi: 10.3390/ijms24043316
7
Ryoya Mizumachi, Koichi Hayano, Atsushi Hirata, Gaku Ohira, Shunsuke Imanishi, Toru Tochigi, Tetsuro Isozaki, Yoshihiro Kurata, Yuko Ikeda, Ryoma Urahama, Takeshi Toyozumi, Kentaro Murakami, Masaya Uesato, Hisahiro Matsubara. Development of imaging biomarker for esophageal cancer using intravoxel incoherent motion MRIEsophagus 2021; 18(4): 844 doi: 10.1007/s10388-021-00851-z
8
Tiejun Ren, Dingyi Wang, Jinjin Gu, Xiaozhen Hou. LncRNA SNHG3 promoted cell proliferation, migration, and metastasis of esophageal squamous cell carcinoma via regulating miR-151a-3p/PFN2 axisOpen Medicine 2022; 17(1): 1584 doi: 10.1515/med-2022-0548
9
Anne-Leen Deleu, Machaba Junior Sathekge, Alex Maes, Bart De Spiegeleer, Mike Sathekge, Christophe Van de Wiele. Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A ReviewBiomedicines 2020; 8(9): 304 doi: 10.3390/biomedicines8090304
10
Atsushi Hirata, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Toshiharu Hanaoka, Takeshi Toyozumi, Kentaro Murakami, Tomoyoshi Aoyagi, Kiyohiko Shuto, Hisahiro Matsubara. Volumetric Histogram Analysis of Apparent Diffusion Coefficient as a Biomarker to Predict Survival of Esophageal Cancer PatientsAnnals of Surgical Oncology 2020; 27(8): 3083 doi: 10.1245/s10434-020-08270-7
11
Atsushi Hirata, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Toshiharu Hanaoka, Kentaro Murakami, Tomoyoshi Aoyagi, Kiyohiko Shuto, Hisahiro Matsubara. Volumetric histogram analysis of apparent diffusion coefficient for predicting pathological complete response and survival in esophageal cancer patients treated with chemoradiotherapyThe American Journal of Surgery 2020; 219(6): 1024 doi: 10.1016/j.amjsurg.2019.07.040
12
Yuchen Xie, Qiang Liu, Chao Ji, Yuchen Sun, Shuliang Zhang, Mingyu Hua, Xueting Liu, Shupei Pan, Weibin Hu, Yanfang Ma, Ying Wang, Xiaozhi Zhang. An artificial neural network-based radiomics model for predicting the radiotherapy response of advanced esophageal squamous cell carcinoma patients: a multicenter studyScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-35556-z
13
K.G. Foley, B. Pearson, Z. Riddell, S.A. Taylor. Opportunities in cancer imaging: a review of oesophageal, gastric and colorectal malignanciesClinical Radiology 2021; 76(10): 748 doi: 10.1016/j.crad.2021.01.001
14
Koichi Hayano, Atsushi Hirata, Hisahiro Matsubara. ASO Author Reflections: MRI-Derived Biomarker to Select Optimal Treatment for Esophageal Cancer PatientsAnnals of Surgical Oncology 2020; 27(8): 3090 doi: 10.1245/s10434-020-08298-9
15
Yoshihiro Kurata, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Toru Tochigi, Tetsuro Isozaki, Tomoyoshi Aoyagi, Hisahiro Matsubara. Computed tomography-derived biomarker for predicting the treatment response to neoadjuvant chemoradiotherapy of rectal cancerInternational Journal of Clinical Oncology 2021; 26(12): 2246 doi: 10.1007/s10147-021-02027-2