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For: Choi J, Oh SN, Yeo DM, Kang WK, Jung CK, Kim SW, Park MY. Computed tomography and magnetic resonance imaging evaluation of lymph node metastasis in early colorectal cancer. World J Gastroenterol 2015; 21(2): 556-562 [PMID: 25593474 DOI: 10.3748/wjg.v21.i2.556]
URL: https://www.wjgnet.com/1007-9327/full/v21/i2/556.htm
Number Citing Articles
1
Li-Da Chen, Jin-Yu Liang, Hui Wu, Zhu Wang, Shu-Rong Li, Wei Li, Xin-Hua Zhang, Jian-Hui Chen, Jin-Ning Ye, Xin Li, Xiao-Yan Xie, Ming-De Lu, Ming Kuang, Jian-Bo Xu, Wei Wang. Multiparametric radiomics improve prediction of lymph node metastasis of rectal cancer compared with conventional radiomicsLife Sciences 2018; 208: 55 doi: 10.1016/j.lfs.2018.07.007
2
Shimpei Ogawa, Michio Itabashi, Masakazu Yamamoto. Advanced Diagnosis and New Findings Using MRI in the Treatment of Anorectal DiseasesNippon Daicho Komonbyo Gakkai Zasshi 2017; 70(10): 645 doi: 10.3862/jcoloproctology.70.645
3
Wataru Takaki, Tomohiro Arita, Yoshiaki Kuriu, Hiroki Shimizu, Jun Kiuchi, Takuma Ohashi, Yusuke Yamamoto, Hirotaka Konishi, Ryo Morimura, Atsushi Shiozaki, Hisashi Ikoma, Takeshi Kubota, Hitoshi Fujiwara, Kazuma Okamoto, Eigo Otsuji. Impact of the preoperative clinical N stage on the prognosis of patients with colon cancerColorectal Disease 2023; 25(2): 243 doi: 10.1111/codi.16366
4
Lin Pan, Tian He, Zihan Huang, Shuai Chen, Junrong Zhang, Shaohua Zheng, Xianqiang Chen. Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT imageAbdominal Radiology 2023; 48(4): 1246 doi: 10.1007/s00261-023-03838-9
5
Yongcong Yan, Haohan Liu, Kai Mao, Mengyu Zhang, Qianlei Zhou, Wei Yu, Bingchao Shi, Jie Wang, Zhiyu Xiao. Novel nomograms to predict lymph node metastasis and liver metastasis in patients with early colon carcinomaJournal of Translational Medicine 2019; 17(1) doi: 10.1186/s12967-019-1940-1
6
Wu Lin Low Ong, Li Ching Lau. Clinics in diagnostic imaging (217)Singapore Medical Journal 2023; 64(10): 629 doi: 10.4103/singaporemedj.SMJ-2021-336
7
Robert Matthews, Minsig Choi. Clinical Utility of Positron Emission Tomography Magnetic Resonance Imaging (PET-MRI) in Gastrointestinal CancersDiagnostics 2016; 6(3): 35 doi: 10.3390/diagnostics6030035
8
Yoav Dori, Chris L. Smith, Aaron G. DeWitt, Abhay Srinivasan, Ganesh Krishnamurthy, Fernando A. Escobar, David M. Biko. Intramesenteric dynamic contrast pediatric MR lymphangiography: initial experience and comparison with intranodal and intrahepatic MR lymphangiographyEuropean Radiology 2020; 30(10): 5777 doi: 10.1007/s00330-020-06949-9
9
Shimpei Ogawa, Jin-ichi Hida, Hideyuki Ike, Tetsushi Kinugasa, Mitsuyoshi Ota, Eiji Shinto, Michio Itabashi, Shingo Kameoka, Kenichi Sugihara. Selection of Lymph Node–Positive Cases Based on Perirectal and Lateral Pelvic Lymph Nodes Using Magnetic Resonance Imaging: Study of the Japanese Society for Cancer of the Colon and RectumAnnals of Surgical Oncology 2016; 23(4): 1187 doi: 10.1245/s10434-015-5021-2
10
Gabriel Liberale, Maria Gomez Galdon, Michel Moreau, Sophie Vankerckhove, Issam El Nakadi, Denis Larsimont, Vincent Donckier, Pierre Bourgeois. Ex vivo detection of tumoral lymph nodes of colorectal origin with fluorescence imaging after intraoperative intravenous injection of indocyanine greenJournal of Surgical Oncology 2016; 114(3): 348 doi: 10.1002/jso.24318
11
Min Xie, Yi Zhang, Xinyang Li, Yiji Mao, Xingyu Zou, Haixian Zhang. Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023; : 2695 doi: 10.1109/BIBM58861.2023.10385936
12
Erik Rollvén, Lennart Blomqvist, Emma Öistämö, Fredrik Hjern, György Csanaky, Mirna Abraham-Nordling. Morphological predictors for lymph node metastases on computed tomography in colon cancerAbdominal Radiology 2019; 44(5): 1712 doi: 10.1007/s00261-019-01900-z
13
Zitao Liu, Chao Huang, Huakai Tian, Yu Liu, Yongshan Huang, Zhengming Zhu. Establishment of a Dynamic Nomogram for Predicting the Risk of Lymph Node Metastasis in T1 Stage Colorectal CancerFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.845666
14
Shin Emoto, Shigenori Homma, Nobuki Ichikawa, Ken Imaizumi, Tadashi Yoshida, Yoichi Miyaoka, Hiroki Matsui, Michio Tani, Noriyuki Fujima, Akinobu Taketomi. Preoperative prediction of lymph node metastasis from colorectal cancer using computed tomographySN Comprehensive Clinical Medicine 2023; 5(1) doi: 10.1007/s42399-023-01455-7
15
Carla Martí Castelló, Marina Pacheco Miguel, Elisângela de Paula Silveira-Lacerda, Andris Figueiroa Bakuzis, Naida Cristina Borges. B-Mode and Doppler Ultrasonography in a Murine Model of Ehrlich Solid Carcinoma With Different Growth PatternsFrontiers in Oncology 2020; 10 doi: 10.3389/fonc.2020.560413
16
G. Roseau. Échoendoscopie basse, place actuelle et perspectives dans l’exploration du cancer du rectumActa Endoscopica 2018; 48(1-2): 13 doi: 10.3166/acen-2018-0020
17
Tae-Hyung Kim, Myong Cheol Lim, Se Ik Kim, Sang-Soo Seo, Sun Ho Kim, Sang-Yoon Park. Preoperative Prediction of Cardiophrenic Lymph Node Metastasis in Advanced Ovarian Cancer Using Computed TomographyAnnals of Surgical Oncology 2016; 23(4): 1302 doi: 10.1245/s10434-015-5015-0
18
Yurina Onuma, Chie Tsuruta, Kenji Okita, Atsushi Hamabe, Keishi Ogura, Ichiro Takemasa, Masamitsu Hatakenaka. CT reconstruction with thick slices not only underestimates lymph node size but also reduces data reproducibility in colorectal cancerActa Radiologica 2021; 62(10): 1275 doi: 10.1177/0284185120968569
19
Francesco Crafa, Serafino Vanella, Onofrio A Catalano, Kelsey L Pomykala, Mario Baiamonte. Role of one-step nucleic acid amplification in colorectal cancer lymph node metastases detectionWorld Journal of Gastroenterology 2022; 28(30): 4019-4043 doi: 10.3748/wjg.v28.i30.4019
20
Suyun Li, Zhenhui Li, Li Wang, Mimi Wu, Xiaobo Chen, Chutong He, Yao Xu, Mengyi Dong, Yanting Liang, Xin Chen, Zaiyi Liu. CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancerEuropean Radiology 2023; 33(10): 6861 doi: 10.1007/s00330-023-09688-9
21
Takashi Kanemura, Tomoki Makino, Yasuhiro Miyazaki, Tsuyoshi Takahashi, Yukinori Kurokawa, Makoto Yamasaki, Kiyokazu Nakajima, Shuji Takiguchi, Masaki Mori, Yuichiro Doki. Distribution patterns of metastases in recurrent laryngeal nerve lymph nodes in patients with squamous cell esophageal cancerDiseases of the Esophagus 2016;  doi: 10.1111/dote.12527
22
Honsoul Kim, Eun-Ji Jang, Sang Kyum Kim, Woo Jin Hyung, Dong Kyu Choi, Soo-Jeong Lim, Joon Seok Lim. Simultaneous sentinel lymph node computed tomography and locoregional chemotherapy for lymph node metastasis in rabbit using an iodine-docetaxel emulsionOncotarget 2017; 8(16): 27177 doi: 10.18632/oncotarget.15679
23
Søren R. Rafaelsen, Claus Dam, Chris Vagn-Hansen, Jakob Møller, Hans B. Rahr, Mikkel Sjöström, Jan Lindebjerg, Torben Frøstrup Hansen, Malene Roland Vils Pedersen. CT and 3 Tesla MRI in the TN Staging of Colon Cancer: A Prospective, Blind StudyCurrent Oncology 2022; 29(2): 1069 doi: 10.3390/curroncol29020091
24
Dongqing Wang, Zijian Zhuang, Shuting Wu, Jixiang Chen, Xin Fan, Mengsi Liu, Haitao Zhu, Ming Wang, Jinmei Zou, Qun Zhou, Peng Zhou, Jing Xue, Xiangpan Meng, Shenghong Ju, Lirong Zhang. A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal CancerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.846840
25
Shu Yan, Haiyang Ding, Xiaomu Zhao, Jin Wang, Wei Deng. Development and validation of a nomogram for further decision of radical surgery in pT1 colorectal cancer after local resectionInternational Journal of Colorectal Disease 2021; 36(7): 1499 doi: 10.1007/s00384-021-03928-4
26
Hsueh-Ju Lu, Jen-Kou Lin, Wei-Shone Chen, Jeng-Kai Jiang, Shung-Haur Yang, Yuan-Tzu Lan, Chun-Chi Lin, Chien-An Liu, Hao-Wei Teng, Yuji Toiyama. The Prognostic Role of Para-Aortic Lymph Nodes in Patients with Colorectal Cancer: Is It Regional or Distant Disease?PLOS ONE 2015; 10(6): e0130345 doi: 10.1371/journal.pone.0130345
27
Marta Zerunian, Ilaria Nacci, Damiano Caruso, Michela Polici, Benedetta Masci, Domenico De Santis, Paolo Mercantini, Giulia Arrivi, Federica Mazzuca, Pasquale Paolantonio, Emanuela Pilozzi, Andrea Vecchione, Mariarita Tarallo, Enrico Fiori, Elsa Iannicelli, Andrea Laghi. Is CT Radiomics Superior to Morphological Evaluation for pN0 Characterization? A Pilot Study in Colon CancerCancers 2024; 16(3): 660 doi: 10.3390/cancers16030660
28
Patricia Simu, Ioan Jung, Laura Banias, Zsolt Zoltan Fulop, Tivadar Bara, Iunius Simu, Sebastian Andone, Raluca Ioana Stefan-van Staden, Catalin Bogdan Satala, Ioana Halmaciu, Simona Gurzu, Alessandro Granito. In-House Validated Map of Lymph Node Stations in a Prospective Cohort of Colorectal Cancer: A Tool for a Better Preoperative StagingJournal of Oncology 2022; 2022: 1 doi: 10.1155/2022/1788004
29
SHIMPEI OGAWA, MICHIO ITABASHI, TOMOICHIRO HIROSAWA, TAKUZO HASHIMOTO, YOSHIKO BAMBA, TAKAHIRO OKAMOTO. Diagnosis of lateral pelvic lymph node metastasis of T1 lower rectal cancer using diffusion-weighted magnetic resonance imaging: A case report with lateral pelvic lymph node dissection of lower rectal cancerMolecular and Clinical Oncology 2016; 4(5): 817 doi: 10.3892/mco.2016.797
30
Yansong Xu, Yi Chen, Chenyan Long, Huage Zhong, Fangfang Liang, Ling-xu Huang, Chuanyi Wei, Shaolong Lu, Weizhong Tang. Preoperative Predictors of Lymph Node Metastasis in Colon CancerFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.667477
31
Guo Wu, Jun-Gang Liu, Xiao-Liang Huang, Chun-Yin Wei, Franco Jeen PC, Wei-Shun Xie, Shao-Mei Chen, Chu-Qiao Zhang, Wei-Zhong Tang. A nomogram for preoperative prediction of lymphatic infiltration in colorectal cancerMedicine 2019; 98(52): e18498 doi: 10.1097/MD.0000000000018498
32
Bowen Shi, Dan Li, Weiwu Yao, Wenfang Wang, Jiang Jiang, Ruiheng Wang, Fuhua Yan, Han Liu, Huan Zhang, Jian Ye. Multifunctional theranostic nanoparticles for multi-modal imaging-guided CAR-T immunotherapy and chemo-photothermal combinational therapy of non-Hodgkin's lymphomaBiomaterials Science 2022; 10(10): 2577 doi: 10.1039/D1BM01982A