BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Kijima S, Sasaki T, Nagata K, Utano K, Lefor AT, Sugimoto H. Preoperative evaluation of colorectal cancer using CT colonography, MRI, and PET/CT. World J Gastroenterol 2014; 20(45): 16964-16975 [PMID: 25493009 DOI: 10.3748/wjg.v20.i45.16964]
URL: https://www.wjgnet.com/1007-9327/full/v20/i45/16964.htm
Number Citing Articles
1
Dacheng Li, Ying Wang, Weili Liu, Qiusong Chen, Li Cai, Xiling Xing, Shuo Gao, Alamgeer Yuchi. The Correlation between 18F-FDG PET/CT Imaging SUVmax of Preoperative Colon Cancer Primary Lesions and Clinicopathological FactorsJournal of Oncology 2021; 2021: 1 doi: 10.1155/2021/4312296
2
Dilek Oncel. Colon Polyps and Colorectal Cancer2021; : 123 doi: 10.1007/978-3-030-57273-0_7
3
E. Edmund Kim, Hyung-Jun Im, Dong Soo Lee, Keon Wook Kang. Atlas and Anatomy of PET/MRI, PET/CT and SPECT/CT2016; : 199 doi: 10.1007/978-3-319-28652-5_2
4
Eric C. Ehman, Geoffrey B. Johnson, Javier E. Villanueva‐Meyer, Soonmee Cha, Andrew Palmera Leynes, Peder Eric Zufall Larson, Thomas A. Hope. PET/MRI: Where might it replace PET/CT?Journal of Magnetic Resonance Imaging 2017; 46(5): 1247 doi: 10.1002/jmri.25711
5
Liheng Liu, Ming Liu, Zhenghan Yang, Wen He, Zhenchang Wang, Erhu Jin. Correlation of MRI-detected extramural vascular invasion with regional lymph node metastasis in rectal cancerClinical Imaging 2016; 40(3): 456 doi: 10.1016/j.clinimag.2016.01.007
6
Xue Lin, Sheng Zhao, Huijie Jiang, Fucang Jia, Guisheng Wang, Baochun He, Hao Jiang, Xiao Ma, Jinping Li, Zhongxing Shi. A radiomics-based nomogram for preoperative T staging prediction of rectal cancerAbdominal Radiology 2021; 46(10): 4525 doi: 10.1007/s00261-021-03137-1
7
Kinga Tóth, Barbara Kinga Barták, Zsolt Tulassay, Béla Molnár. Circulating cell-free nucleic acids as biomarkers in colorectal cancer screening and diagnosisExpert Review of Molecular Diagnostics 2016; 16(2): 239 doi: 10.1586/14737159.2016.1132164
8
Nobuaki Hoshino, Takashi Sakamoto, Koya Hida, Yoshiharu Sakai. Diagnostic accuracy of computed tomography colonography for tumor depth in colorectal cancer: A systematic review and meta-analysisSurgical Oncology 2019; 30: 126 doi: 10.1016/j.suronc.2019.08.003
9
David H. Ballard, Anthony Paul Trace, Sayed Ali, Taryn Hodgdon, Matthew E. Zygmont, Carolynn M. DeBenedectis, Stacy E. Smith, Michael L. Richardson, Midhir J. Patel, Summer J. Decker, Leon Lenchik. Clinical Applications of 3D PrintingAcademic Radiology 2018; 25(1): 52 doi: 10.1016/j.acra.2017.08.004
10
Peili Cen, Jiani Huang, Chentao Jin, Jing Wang, Yen Wei, Hong Zhang, Mei Tian. Aggregation‐induced emission luminogens for in vivo molecular imaging and theranostics in cancerAggregate 2023; 4(5) doi: 10.1002/agt2.352
11
Jorge Pablo Grondona. Extreme Hepatic Surgery and Other Strategies2017; : 79 doi: 10.1007/978-3-319-13896-1_6
12
Joel H. Bortz, Hesta Friedrich-Nel. CT Colonography for Radiographers2016; : 211 doi: 10.1007/978-3-319-29379-0_15
13
Baohua Lv, Leilei Yuan, Jizheng Li, Xue Kong, Yanling Cheng, Kai Shang, Erhu Jin. Predictive value of infiltrating tumor border configuration of rectal cancer on MRIBMC Medical Imaging 2023; 23(1) doi: 10.1186/s12880-023-01118-y
14
Md Abu Horaira, Md. Ariful Islam, Md. Kaderi Kibria, Md. Jahangir Alam, Syed Rashel Kabir, Md. Nurul Haque Mollah. Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agentsBMC Medical Genomics 2023; 16(1) doi: 10.1186/s12920-023-01488-w
15
Joseph C. Kong, Glen R. Guerra, Satish K. Warrier, Robert G. Ramsay, Alexander G. Heriot. Outcome and Salvage Surgery Following “Watch and Wait” for Rectal Cancer after Neoadjuvant Therapy: A Systematic ReviewDiseases of the Colon & Rectum 2017; 60(3): 335 doi: 10.1097/DCR.0000000000000754
16
Marta Zerunian, Gisella Guido, Domenico De Santis, Damiano Caruso, Andrea Laghi. Multimodality Imaging and Intervention in Oncology2023; : 235 doi: 10.1007/978-3-031-28524-0_12
17
Larrissa Braga, Ersan Altun, Diane Armao, Richard C. Semelka. Abdominal‐Pelvic MRI2015; : 39 doi: 10.1002/9781119012979.ch2
18
Sofía Rodríguez Martínez de Llano, Fernando Zelaya Reinquet, Shirly Margarita Nieves Maldonado, Sara Seijas Marcos, Paulino Pais Silva. Foundations of Colorectal Cancer2022; : 119 doi: 10.1016/B978-0-323-90055-3.00053-3
19
Azadeh Tabari, Shin Mei Chan, Omar Mustafa Fathy Omar, Shams I. Iqbal, Michael S. Gee, Dania Daye. Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal CancersCancers 2022; 15(1): 63 doi: 10.3390/cancers15010063
20
Yoshiyuki Suzuki, Koji Okabayashi, Hirotoshi Hasegawa, Masashi Tsuruta, Kohei Shigeta, Koji Murakami, Yuko Kitagawa. Metabolic Tumor Volume and Total Lesion Glycolysis in PET/CT Correlate With the Pathological Findings of Colorectal Cancer and Allow Its Accurate StagingClinical Nuclear Medicine 2016; 41(10): 761 doi: 10.1097/RLU.0000000000001332
21
Abid Haleem, Mohd Javaid, Raju Vaishya. 3D printing applications for the treatment of cancerClinical Epidemiology and Global Health 2020; 8(4): 1072 doi: 10.1016/j.cegh.2020.03.022
22
Kenjiro Kotake, Hirotoshi Kobayashi, Michio Asano, Heita Ozawa, Kenichi Sugihara. Influence of extent of lymph node dissection on survival for patients with pT2 colon cancerInternational Journal of Colorectal Disease 2015; 30(6): 813 doi: 10.1007/s00384-015-2194-x
23
Jing-Yi Zhang, Yan Luo, Fei Liu, Bo Li. Hepatic isolated ectopic adrenocortical adenoma mimicking metastatic liver tumorHepatobiliary & Pancreatic Diseases International 2021; 20(1): 83 doi: 10.1016/j.hbpd.2020.07.006
24
Jung Sub So, Chinock Cheong, Seung Yeop Oh, Jei Hee Lee, Young Bae Kim, Kwang Wook Suh. Accuracy of Preoperative Local Staging of Primary Colorectal Cancer by Using Computed Tomography: Reappraisal Based on Data Collected at a Highly Organized Cancer CenterAnnals of Coloproctology 2017; 33(5): 192 doi: 10.3393/ac.2017.33.5.192
25
Hanshan Xu, Wenyuan Zhao, Wenbing Guo, Shaodong Cao, Chao Gao, Tiantian Song, Liping Yang, Yanlong Liu, Yu Han, Lingbo Zhang, Kezheng Wang. Prediction Model Combining Clinical and MR Data for Diagnosis of Lymph Node Metastasis in Patients With Rectal CancerJournal of Magnetic Resonance Imaging 2021; 53(3): 874 doi: 10.1002/jmri.27369
26
Saeedeh Pourahmad, Soudabeh Pourhashemi, Mohammad Mohammadianpanah. Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical FindingsAsian Pacific Journal of Cancer Prevention 2016; 17(2): 823 doi: 10.7314/APJCP.2016.17.2.823
27
Wang Du, Guozhi Xia, Liang Chen, Lingjun Geng, Rubin Xu, Qingqing Han, Xiaomei Ying, Hongzhu Yu. Clinical value of SLC12A9 for diagnosis and prognosis in colorectal cancerAging 2023; 15(24): 15419 doi: 10.18632/aging.205360
28
Anton A. Plekhanov, Marina A. Sirotkina, Ekaterina V. Gubarkova, Elena B. Kiseleva, Alexander A. Sovetsky, Maria M. Karabut, Vladimir E. Zagainov, Sergey S. Kuznetsov, Anna V. Maslennikova, Elena V. Zagaynova, Vladimir Y. Zaitsev, Natalia D. Gladkova. Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastographyFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1121838
29
Mingyu Zhang, Jigang Yang, Hao Jiang, Huijie Jiang, Zhenchang Wang. Correlation between glucose metabolism parameters derived from FDG and tumor TNM stages and metastasis-associated proteins in colorectal carcinoma patientsBMC Cancer 2021; 21(1) doi: 10.1186/s12885-021-07944-z
30
Moein Piroozkhah, Ali Aghajani, Pooya Jalali, Arvin Shahmoradi, Mobin Piroozkhah, Younes Tadlili, Zahra Salehi. Guanylate cyclase-C Signaling Axis as a theragnostic target in colorectal cancer: a systematic review of literatureFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1277265
31
Wan Soo Kim, Hyo Sang Lee, Jeong‐Mi Lee, Min Seob Kwak, Sung Wook Hwang, Sang Hyoung Park, Dong‐Hoon Yang, Kyung‐Jo Kim, Seung‐Jae Myung, Suk‐Kyun Yang, Jeong‐Sik Byeon. Fluoro‐2‐deoxy‐d‐glucose positron emission tomography/computed tomography for the detection of proximal synchronous lesions in patients with obstructive colorectal cancerJournal of Gastroenterology and Hepatology 2017; 32(2): 401 doi: 10.1111/jgh.13486
32
Jae-Ryong Shim, Seung Duk Lee, Sung-Sik Han, Sang Jae Lee, Dong Eun Lee, Seok-Ki Kim, Seong Hoon Kim, Sang Jae Park, Jae-Hwan Oh. Prognostic significance of 18 F-FDG PET/CT in patients with colorectal cancer liver metastases after hepatectomyEuropean Journal of Surgical Oncology 2018; 44(5): 670 doi: 10.1016/j.ejso.2018.01.243
33
Houxi Xu, Yuzhu Ma, Jinzhi Zhang, Jialin Gu, Xinyue Jing, Shengfeng Lu, Shuping Fu, Jiege Huo. Identification and Verification of Core Genes in Colorectal CancerBioMed Research International 2020; 2020: 1 doi: 10.1155/2020/8082697
34
Mingze Li, Yundong Zhang, Jinli Ma, Jianshi Du. Albumin-based nanoparticle for dual-modality imaging of the lymphatic systemRSC Advances 2023; 13(4): 2248 doi: 10.1039/D2RA07414A
35
Sha Sa, Jing Li, Xiaodong Li, Yongrui Li, Xiaoming Liu, Defeng Wang, Huimao Zhang, Yu Fu. Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical informationOncotarget 2017; 8(33): 55308 doi: 10.18632/oncotarget.19427
36
Stefano Badia, Simona Picchia, Davide Bellini, Riccardo Ferrari, Damiano Caruso, Pasquale Paolantonio, Iacopo Carbone, Andrea Laghi, Marco Rengo. The Role of Contrast-Enhanced Imaging for Colorectal Cancer ManagementCurrent Colorectal Cancer Reports 2019; 15(6): 181 doi: 10.1007/s11888-019-00443-1
37
Amin Elzaki. Assessment of the Use of Preoperative CT Scan Image for Predicting Lymph Nodes for Resection of Colorectal Cancer: A Retrospective StudyDubai Medical Journal 2022; 5(3): 171 doi: 10.1159/000525390
38
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
39
Michele De Rosa, Fabio Rondelli, Paolo Stella, Marcello Boni, Fabio Ermili, Graziano Ceccarelli. Triple synchronous colorectal carcinomaANZ Journal of Surgery 2019; 89(7-8) doi: 10.1111/ans.14452
40
Mingliang Ying, Jiangfeng Pan, Guanghong Lu, Shaobin Zhou, Jianfei Fu, Qinghua Wang, Lixia Wang, Bin Hu, Yuguo Wei, Junkang Shen. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancerBMC Cancer 2022; 22(1) doi: 10.1186/s12885-022-09584-3
41
Hoon Jai Chun, Seun Ja Park, Yun Jeong Lim, Si Young Song. Gastrointestinal Cancer2023; : 239 doi: 10.1007/978-981-99-0815-8_34
42
Dong-Mei Wu, Yong-Jian Wang, Shao-Hua Fan, Juan Zhuang, Zi-Feng Zhang, Qun Shan, Xin-Rui Han, Xin Wen, Meng-Qiu Li, Bin Hu, Chun-Hui Sun, Ya-Xing Bao, Hai-Juan Xiao, Lin Yang, Jun Lu, Yuan-Lin Zheng. Network meta-analysis of the efficacy of first-line chemotherapy regimens in patients with advanced colorectal cancerOncotarget 2017; 8(59): 100668 doi: 10.18632/oncotarget.22177
43
Biao Liu, Chuanhui Yao, Haiying Li. Laparoscopic Radical Resection of Colorectal Cancer in the Treatment of Elderly Colorectal Cancer and Its Effect on Gastrointestinal FunctionFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.840461
44
Chao-Tao Tang, Jun Li, Peng Wang, You-Xiang Chen, Chun-Yan Zeng. Prediction model for lymph node metastasis in superficial colorectal cancer: a better choice than computed tomographySurgical Endoscopy 2023; 37(10): 7444 doi: 10.1007/s00464-023-10222-7
45
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
46
Anshul Sharma, ShubhaG Ravindra, TejeshPratap Singh, Rakesh Kumar. Role of positron emission tomography/computed tomography in gastrointestinal malignancies: A brief review and pictorial eswsayIndian Journal of Nuclear Medicine 2022; 37(3): 249 doi: 10.4103/ijnm.ijnm_208_21
47
Kalpesh Mody, Fozy Peer. CT Colonography for Radiographers2016; : 277 doi: 10.1007/978-3-319-29379-0_20
48
Nathan C. Hall, Alexander T. Ruutiainen. Colorectal Cancer:Surgical Oncology Clinics of North America 2018; 27(2): 289 doi: 10.1016/j.soc.2017.11.004
49
Rui Wang, Yi Gao, Jia-Yi Li, Zhong-Hui Wang, Qin-qing Li, Jun Feng, Chengde Liao. Assessment of the Clinical Usefulness of Preoperative Computed Tomography in Colorectal Cancer Patients Who Received Unplanned ReoperationGastroenterology Research and Practice 2020; 2020: 1 doi: 10.1155/2020/6062414
50
Shigehiro Yanagita, Yoshikazu Uenosono, Takaaki Arigami, Yoshiaki Kita, Shinichiro Mori, Shoji Natsugoe. Utility of the sentinel node concept for detection of lateral pelvic lymph node metastasis in lower rectal cancerBMC Cancer 2017; 17(1) doi: 10.1186/s12885-017-3408-0
51
Tolga KALAYCI, Murat KARTAL, Mesud FAKİRULLAHOĞLU, Yasemin ÖZERDEM. Synchronous Bilateral Flexure Tumor Causing Ileus and Requiring Surgical TreatmentDüzce Tıp Fakültesi Dergisi 2022; 24(3): 333 doi: 10.18678/dtfd.1144552
52
Hongsik Kim, Song-Yi Choi, Tae-Young Heo, Kyeong-Rok Kim, Jisun Lee, Min Young Yoo, Taek-Gu Lee, Joung-Ho Han. Value of glucose transport protein 1 expression in detecting lymph node metastasis in patients with colorectal cancerWorld Journal of Clinical Cases 2024; 12(5): 931-941 doi: 10.12998/wjcc.v12.i5.931
53
Jing Wang, Qinghua Zhu, Shuyan Zhang, Lisha Wen, Li Wang, Aamir Jalil. Observation of Clinical Efficacy of Anisodamine and Chlorpromazine in the Treatment of Intractable Hiccup after StrokeBioMed Research International 2022; 2022: 1 doi: 10.1155/2022/6563193
54
Kenichi Utano, Daiki Nemoto, Masato Aizawa, Noriyuki Isohata, Kensuke Kumamoto, Shungo Endo, Kazutomo Togashi, Koichi Nagata. CT ColonographyNippon Daicho Komonbyo Gakkai Zasshi 2016; 69(10): 456 doi: 10.3862/jcoloproctology.69.456
55
Akie Watanabe, Sabrina Rai, Lily Yip, Carl J. Brown, Jonathan M. Loree, Heather C. Stuart. Impact of grade on workup of rectal neuroendocrine tumors: a retrospective cohort studyWorld Journal of Surgical Oncology 2024; 22(1) doi: 10.1186/s12957-024-03379-5
56
Sophie A. Gray, Menno H. Raber, Esther Provoost, Gert-Jan Toes, Joost M. Klaase. Colorectal Liver Metastasis, Primary Gallbladder Carcinoma and Myelofibrosis Present Simultaneously in a Liver Resection SpecimenCase Reports in Gastroenterology 2015; 9(3): 335 doi: 10.1159/000441383
57
Specialty Imaging: PET2018; : 108 doi: 10.1016/B978-0-323-52484-1.50030-3
58
Wei-Ling Chen, Tsung-Lung Yang, Jieh-Neng Wang, Chung-Dann Kan. Advances in 3D Printing2023;  doi: 10.5772/intechopen.109472
59
Xudong Zhu, Yong Ren, Sidong Xie, Zikai Cai, Zongheng Zheng, Tufeng Chen, Yong Huang, Jianpei Liu, Yuefei Guo, Bingjun He, Rongpu Liang, Dongbing Ding, Shengxin Huang, Weize Liu, Jun Shao, Lanqing Han, Jin Wang, Bo Wei, Hongbo Wei. A Deep Learning System for Classifying T Stage and Predicting Prognosis of Colorectal Cancer via Preoperative Computed Tomography ImagesSSRN Electronic Journal 2021;  doi: 10.2139/ssrn.3900665
60
Dong Ho Lee, Jeong Min Lee. Whole-body PET/MRI for colorectal cancer staging: Is it the way forward?Journal of Magnetic Resonance Imaging 2017; 45(1): 21 doi: 10.1002/jmri.25337
61
Bin Zhao, Yuncui Wang, Xingwang Zhao, Jian Ni, Xiaowen Zhu, Yan Fu, Fan Yang. SIRT1 enhances oxaliplatin resistance in colorectal cancer through microRNA‐20b‐3p/DEPDC1 axisCell Biology International 2022; 46(12): 2107 doi: 10.1002/cbin.11905
62
Serdar Serinsöz, Remzi Aktürk. Comparison of Imaging Modalities in the Diagnosis and Tumor Staging of Colorectal AdenocarcinomaCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2023; 19(6) doi: 10.2174/1573405619666221209114218
63
Ross D. Dolan, Naomi G. McLees, Ahmer Irfan, Stephen T. McSorley, Paul G. Horgan, David Colville, Donald C. McMillan. The Relationship Between Tumor Glucose Metabolism and Host Systemic Inflammatory Responses in Patients with Cancer: A Systematic ReviewJournal of Nuclear Medicine 2019; 60(4): 467 doi: 10.2967/jnumed.118.216697
64
Cong Zhang, Tejasv Bedi, Chul Moon, Yang Xie, Min Chen, Qiwei Li. Bayesian Landmark-Based Shape Analysis of Tumor Pathology ImagesJournal of the American Statistical Association 2024; : 1 doi: 10.1080/01621459.2023.2298031
65
Ke Zhang, Qing He, Qin Cao, Jun Chuan, Ang Qin, Lin Tang, Xinyue Zhang, Changhe Xiao, Biyin Zhu, Meiling Hu, Lei Chang, Zhong xin Bu, Lanqi Fu, Ting Yang, Yu Wang, Weidong Liu. Evaluating the clinical performance of SDC2/NDRG4 methylation for colorectal cancer detectionEpigenomics 2024; 16(2): 93 doi: 10.2217/epi-2023-0290
66
Johann Ebadfardzadeh, Mandana Kazemi, Ali Aghazadeh, Monireh Rezaei, Milad Shirvaliloo, Roghayeh Sheervalilou. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancerMedical Oncology 2021; 38(9) doi: 10.1007/s12032-021-01543-5
67
Massimo E. Maffei. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and TheranosticsInternational Journal of Molecular Sciences 2022; 23(3): 1339 doi: 10.3390/ijms23031339
68
Qingwei Ren, Yanyan Chen, Xuejun Shao, Lanzhong Guo, Xinxin Xu. Lymph nodes primary staging of colorectal cancer in 18F-FDG PET/MRI: a systematic review and meta-analysisEuropean Journal of Medical Research 2023; 28(1) doi: 10.1186/s40001-023-01124-4
69
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
70
Elisabeth Hain, Maxime Barat, Carla Da Costa, Raphael Dautry, Christophe Baillard, Stéphane Bonnet, Bertrand Dousset, Philippe Soyer, Anthony Dohan, David Fuks, Sébastien Gaujoux. Preoperative assessment of patient comorbidities before left colectomy: Comparison between ASA performance status scale and a new computed tomography physical status scoreDiagnostic and Interventional Imaging 2021; 102(5): 313 doi: 10.1016/j.diii.2020.11.001
71
Alice C. Westwood, Jim P. Tiernan, Nicholas P. West. The Lymphatic System in Colorectal Cancer2022; : 167 doi: 10.1016/B978-0-12-824297-1.00007-5
72
Huanhuan Liu, Yanfen Cui, Wei Shen, Xingwen Fan, Long Cui, Caiyuan Zhang, Gang Ren, Jihong Fu, Dengbin Wang. Pretreatment magnetic resonance imaging of regional lymph nodes with carcinoembryonic antigen in prediction of synchronous distant metastasis in patients with rectal cancerOncotarget 2016; 7(19): 27199 doi: 10.18632/oncotarget.7979
73
Samir Mustaffa Paruthikunnan, Rajagopal Kadavigere, Lakshmikanth Halegubbi Karegowda. Accuracy of Whole-Body DWI for Metastases Screening in a Diverse Group of Malignancies: Comparison With Conventional Cross-Sectional Imaging and Nuclear ScintigraphyAmerican Journal of Roentgenology 2017; 209(3): 477 doi: 10.2214/AJR.17.17829
74
Yuqin Hong, Lijuan Zhong, Xue Lv, Qiao Liu, Langzhou Fu, Daiquan Zhou, Na Yu. Application of spectral CT in diagnosis, classification and prognostic monitoring of gastrointestinal cancers: progress, limitations and prospectsFrontiers in Molecular Biosciences 2023; 10 doi: 10.3389/fmolb.2023.1284549
75
Xue Deng, Xuefeng Tang, Hui Yao, Ying Wang. Severe Venous Calcifications in Phlebosclerotic Colitis and Significantly Decreased Expression in BetaineInternational Journal of Surgical Pathology 2024;  doi: 10.1177/10668969241246475
76
Shin Emoto, Shigenori Homma, Tadashi Yoshida, Nobuki Ichikawa, Hiroki Matsui, Michio Tani, Noriyuki Fujima, Akinobu Taketomi. Predictive Value of Preoperative Computed Tomography for Lateral Pelvic Lymph Node Metastasis in Rectal CancerSN Comprehensive Clinical Medicine 2023; 5(1) doi: 10.1007/s42399-023-01490-4
77
Melanie M. Ivancic, Bryant W. Megna, Yuriy Sverchkov, Mark Craven, Mark Reichelderfer, Perry J. Pickhardt, Michael R. Sussman, Gregory D. Kennedy. Noninvasive Detection of Colorectal Carcinomas Using Serum Protein BiomarkersJournal of Surgical Research 2020; 246: 160 doi: 10.1016/j.jss.2019.08.004
78
Yun Pei, Lin Mu, Yu Fu, Kan He, Hong Li, Shuxu Guo, Xiaoming Liu, Mingyang Li, Huimao Zhang, Xueyan Li. Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention MechanismIEEE Access 2020; 8: 64131 doi: 10.1109/ACCESS.2020.2982543
79
Felix G. Gassert, Johannes Rübenthaler, Clemens C. Cyran, Johann S. Rink, Vincent Schwarze, Johanna Luitjens, Florian T. Gassert, Marcus R. Makowski, Stefan O. Schoenberg, Marius E. Mayerhoefer, Dietmar Tamandl, Matthias F. Froelich. 18F FDG PET/MRI with hepatocyte-specific contrast agent for M staging of rectal cancer: a primary economic evaluationEuropean Journal of Nuclear Medicine and Molecular Imaging 2021; 48(10): 3268 doi: 10.1007/s00259-021-05193-7
80
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
81
Minglu Liu, Xiaolu Ma, Fu Shen, Yuwei Xia, Yan Jia, Jianping Lu. MRI‐based radiomics nomogram to predict synchronous liver metastasis in primary rectal cancer patientsCancer Medicine 2020; 9(14): 5155 doi: 10.1002/cam4.3185
82
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
83
Zhongxin Wang, Jian Shang, Guannan Zhang, Lingjun Kong, Feng Zhang, Ye Guo, Yaling Dou, Jun Lin. Evaluating the Clinical Performance of a Dual-Target Stool DNA Test for Colorectal Cancer DetectionThe Journal of Molecular Diagnostics 2022; 24(2): 131 doi: 10.1016/j.jmoldx.2021.10.012
84
Shuai Guo, Zongheng Li, Jie Feng, Wei Xiong, Jing Yang, Xuanyi Lu, Sugeun Yang, Yikai Xu, Aiguo Wu, Zheyu Shen. Cycloacceleration of ferroptosis and calcicoptosis for magnetic resonance imaging-guided colorectal cancer therapyNano Today 2022; 47: 101663 doi: 10.1016/j.nantod.2022.101663
85
Mohammed Basendowah, Shahad Alshaynawi, Turki A Madani, Mutaz H Alabdulqader, Muatasaim Hakami. Positron Emission Tomography With Fluorodeoxyglucose Incidental Detection of Colon Cancer in a Patient’s Follow-Up for Nasopharyngeal Carcinoma During the COVID-19 Pandemic: A Case ReportCureus 2020;  doi: 10.7759/cureus.9939
86
Zhongxiao Zhang, Zehua Wang, M Pallikonda Rajasekaran. Computed Tomography Image Features under Denoising Algorithm for Benign and Malignant Diagnosis of Renal Parenchymal TumorContrast Media & Molecular Imaging 2022; 2022: 1 doi: 10.1155/2022/5871385
87
Ji Hu, Fu-ying Zhao, Bin Huang, Jing Ran, Mei-yuan Chen, Hai-lin Liu, You-song Deng, Xia Zhao, Xiao-fan Han. An Eight-CpG-based Methylation Classifier for Preoperative Discriminating Early and Advanced-Late Stage of Colorectal CancerFrontiers in Genetics 2021; 11 doi: 10.3389/fgene.2020.614160
88
Niloufar Sadat Kalaki, Mozhgan Ahmadzadeh, Mohammad Najafi, Meysam Mobasheri, Hossein Ajdarkosh, Mohammad Hadi Karbalaie Niya. Systems biology approach to identify biomarkers and therapeutic targets for colorectal cancerBiochemistry and Biophysics Reports 2024; 37: 101633 doi: 10.1016/j.bbrep.2023.101633
89
Joo Young Lee, Soon Man Yoon, Jeong Tae Kim, Ki Bae Kim, Mi Jin Kim, Jae Geun Park, Taek-Gu Lee, Sang-Jeon Lee, Sung Soo Koong, Joung-Ho Han, Hee Bok Chae, Seon Mee Park, Sei Jin Youn. Diagnostic and prognostic value of preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography for colorectal cancer: comparison with conventional computed tomographyIntestinal Research 2017; 15(2): 208 doi: 10.5217/ir.2017.15.2.208
90
Yong Wu, Hongtao Cao, Shaoqing Yang, Chaohui Liu, Zhenguo Han. Progress of near-infrared-II fluorescence in precision diagnosis and treatment of colorectal cancerHeliyon 2023; 9(12): e23209 doi: 10.1016/j.heliyon.2023.e23209
91
Koichi Nagata, Ken Takabayashi, Takaaki Yasuda, Michiaki Hirayama, Shungo Endo, Ryoichi Nozaki, Takenobu Shimada, Hidenori Kanazawa, Masanori Fujiwara, Norihito Shimizu, Tatema Iwatsuki, Teruaki Iwano, Hiroshi Saito. Adverse events during CT colonography for screening, diagnosis and preoperative staging of colorectal cancer: a Japanese national surveyEuropean Radiology 2017; 27(12): 4970 doi: 10.1007/s00330-017-4920-y
92
Xiang Yuan, Xin Quan, Xiao-ling Che, Lu-Lu Xu, Chun-mei Yang, Xiao-di Zhang, Jian Shu. Preoperative prediction of the lymphovascular tumor thrombus of colorectal cancer with the iodine concentrations from dual-energy spectral CTBMC Medical Imaging 2023; 23(1) doi: 10.1186/s12880-023-01060-z
93
Simona Turco, Ahmed El Kaffas, Jianhua Zhou, Amelie M. Lutz, Hessel Wijkstra, Jürgen K. Willmann, Massimo Mischi. Pharmacokinetic Modeling of Targeted Ultrasound Contrast Agents for Quantitative Assessment of Anti-Angiogenic Therapy: a Longitudinal Case-Control Study in Colon CancerMolecular Imaging and Biology 2019; 21(4): 633 doi: 10.1007/s11307-018-1274-z
94
Birger Henning Endreseth, Tore Stornes. Multidisciplinary Treatment of Colorectal Cancer2021; : 23 doi: 10.1007/978-3-030-58846-5_3
95
Hidenori Kido, Shunsuke Kato, Kimihiko Funahashi, Kazutoshi Shibuya, Yousuke Sasaki, Yoshihisa Urita, Masaaki Hori, Sunao Mizumura. The metabolic parameters based on volume in PET/CT are associated with clinicopathological N stage of colorectal cancer and can predict prognosisEJNMMI Research 2021; 11(1) doi: 10.1186/s13550-021-00831-5
96
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel ProspectFrontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
97
Nuoya Wang, Liqing Chen, Wei Huang, Zhonggao Gao, Mingji Jin. Current Advances of Nanomaterial-Based Oral Drug Delivery for Colorectal Cancer TreatmentNanomaterials 2024; 14(7): 557 doi: 10.3390/nano14070557
98
Kazuya Iwamoto, Hidekazu Takahashi, Naotsugu Haraguchi, Junichi Nishimura, Taishi Hata, Chu Matsuda, Hirofumi Yamamoto, Tsunekazu Mizushima, Yuichiro Doki, Masaki Mori. Laparoscopic surgery for sigmoid colon cancer after multiple operations including urinary diversion with Indiana pouch: A case reportAsian Journal of Endoscopic Surgery 2017; 10(4): 420 doi: 10.1111/ases.12383
99
Yohei Koyama, Masayoshi Yamada, Mai Ego Makiguchi, Masau Sekiguchi, Hiroyuki Takamaru, Taku Sakamoto, Shin Kono, Masakatsu Fukuzawa, Shih Yea Sylvia Wu, Arjun Sugumaran, Takashi Kawai, Takahisa Matsuda, Takao Itoi, Yutaka Saito. New scoring system to distinguish deep invasive submucosal and muscularis propria colorectal cancer during colonoscopy: a development and global multicenter external validation study (e-T2 Score)Gastrointestinal Endoscopy 2022; 96(2): 321 doi: 10.1016/j.gie.2022.03.002
100
Chao Chen, Songtao Hou, Fei Zhao, Bin Wu, Tingting Liu, Zhao Zhang, Yuwei Li, Hongchao Li. Application of Bevacizumab Combined With Chemotherapy in Patients With Colorectal Cancer and Its Effects on Brain-Gut Peptides, Intestinal Flora, and Oxidative StressFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.872112
101
Yaiza García del Álamo Hernández, Óscar Cano-Valderrama, Carlos Cerdán-Santacruz, Fernando Pereira Pérez, Inés Aldrey Cao, Sandra Núñez Fernández, Eduardo Álvarez Sarrado, Rosángela Obregón Reina, Paula Dujovne Lindenbaum, María Taboada Ameneiro, David Ambrona Zafra, Silvia Pérez Farré, Marta Pascual Damieta, Ricardo Frago Montanuy, Blas Flor Lorente, Sebastiano Biondo. Diagnostic Accuracy of Abdominal CT for Locally Advanced Colon Tumors: Can We Really Entrust Certain Decisions to the Reliability of CT?Journal of Clinical Medicine 2023; 12(21): 6764 doi: 10.3390/jcm12216764
102
Claudia Reali, Gabriele Bocca, Ian Lindsey, Oliver Jones, Chris Cunningham, Richard Guy, Bruce George, Stephen Boyce. Influence of incorrect staging of colorectal carcinoma on oncological outcome: are we playing safely?Updates in Surgery 2022; 74(2): 591 doi: 10.1007/s13304-021-01095-3
103
Remon Zaher Elia, Rafik Abdelazem Elbastawessy, Hanaa Abdelkader Abdelmgeguid, Ahmed Mohamed Bassiouny. FDG PET/CT in follow UP patients with colorectal carcinoma after adjuvant chemotherapyEgyptian Journal of Radiology and Nuclear Medicine 2021; 52(1) doi: 10.1186/s43055-021-00655-2
104
Seyed Ali Mirshahvalad, Andres Kohan, Ur Metser, Ricarda Hinzpeter, Claudia Ortega, Adam Farag, Patrick Veit-Haibach. Diagnostic performance of whole-body [18F]FDG PET/MR in cancer M staging: A systematic review and meta-analysisEuropean Radiology 2023; 34(1): 673 doi: 10.1007/s00330-023-10009-3
105
Kalpesh Mody. CT Colonography for Radiographers2023; : 313 doi: 10.1007/978-3-031-30866-6_22
106
Joel H. Bortz, Hesta Friedrich-Nel. CT Colonography for Radiographers2023; : 209 doi: 10.1007/978-3-031-30866-6_15
107
Hamid Dahmarde, Fateme Parooie, Morteza Salarzaei. Is 18F-FDG PET/CT an Accurate Way to Detect Lymph Node Metastasis in Colorectal Cancer: A Systematic Review and Meta-AnalysisContrast Media & Molecular Imaging 2020; 2020: 1 doi: 10.1155/2020/5439378
108
Michael Esser, Sven Schneeweiss, Konstantin Nikolaou, Marius Horger. Complexity of Ultrasound and CT Fusion Examinations: Are They Feasible in the Daily Routine?American Journal of Roentgenology 2016; 207(4): 712 doi: 10.2214/AJR.16.16246
109
Kunihiko Amano, Minoru Fukuchi, Kensuke Kumamoto, Satoshi Hatano, Hitoshi Ohno, Hisato Osada, Keiichiro Ishibashi, Hideyuki Ishida. Pre-operative Evaluation of Lateral Pelvic Lymph Node Metastasis in Lower Rectal Cancer: Comparison of Three Different Imaging ModalitiesJournal of the Anus, Rectum and Colon 2020; 4(1): 34 doi: 10.23922/jarc.2019-022
110
Jinlian Jin, Haiyan Zhou, Shulin Sun, Zhe Tian, Haibing Ren, Jinwu Feng, Xinping Jiang. Machine learning based gray-level co-occurrence matrix early warning system enables accurate detection of colorectal cancer pelvic bone metastases on MRIFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1121594
111
Cuishan Liang, Yanqi Huang, Lan He, Xin Chen, Zelan Ma, Di Dong, Jie Tian, Changhong Liang, Zaiyi Liu. The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancerOncotarget 2016; 7(21): 31401 doi: 10.18632/oncotarget.8919
112
A. N. Sidorova, V. N. Klimenko, A. M. Sherbakov, O. B. Tkachenko. Morden tactic in diagnosis and treatment of early colon cancer (review of literature)The Scientific Notes of the Pavlov University 2021; 27(4): 28 doi: 10.24884/1607-4181-2020-27-4-28-37
113
Mei Chen, An-hui Tan, Jing Li. Curcumin Represses Colorectal Cancer Cell Proliferation by Triggering Ferroptosis via PI3K/Akt/mTOR Signaling Nutrition and Cancer 2023; 75(2): 726 doi: 10.1080/01635581.2022.2139398
114
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
115
Shaohui Zheng, Shang Jin, Min Jiao, Wenjun Wang, Xiaoyu Zhou, Jie Xu, Yong Wang, Peipei Dou, Zhen Jin, Changyu Wu, Jingjing Li, Xinting Ge, Kai Xu. Tumor-targeted Gd-doped mesoporous Fe 3 O 4 nanoparticles for T 1 /T 2 MR imaging guided synergistic cancer therapy Drug Delivery 2021; 28(1): 787 doi: 10.1080/10717544.2021.1909177
116
Ling-Wei Wang, Yu-Shih Liu, Jeng-Kai Jiang. The effect of Mitomycin-C in neoadjuvant concurrent chemoradiotherapy for rectal cancerJournal of the Chinese Medical Association 2022; 85(12): 1120 doi: 10.1097/JCMA.0000000000000819
117
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
118
Ross Jarrett, Nicholas P. West. Macroscopic Evaluation of Colon Cancer Resection SpecimensCancers 2023; 15(16): 4116 doi: 10.3390/cancers15164116
119
Joseph C. Kong, Alexander G. Heriot. Comprehensive Rectal Cancer Care2019; : 213 doi: 10.1007/978-3-319-98902-0_12
120
Bo He, Tao Ji, Hong Zhang, Yun Zhu, Ruo Shu, Wei Zhao, Kunhua Wang. MRI‐based radiomics signature for tumor grading of rectal carcinoma using random forest modelJournal of Cellular Physiology 2019; 234(11): 20501 doi: 10.1002/jcp.28650
121
Masayoshi Yasui, Masayuki Ohue, Shingo Noura, Norikatsu Miyoshi, Yusuke Takahashi, Chu Matsuda, Junichi Nishimura, Naotsugu Haraguchi, Hajime Ushigome, Nozomu Nakai, Shiki Fujino, Keijiro Sugimura, Hiroshi Wada, Hidenori Takahashi, Takeshi Omori, Hiroshi Miyata. Exploratory analysis of lateral pelvic sentinel lymph node status for optimal management of laparoscopic lateral lymph node dissection in advanced lower rectal cancer without suspected lateral lymph node metastasisBMC Cancer 2021; 21(1) doi: 10.1186/s12885-021-08480-6
122
Marion Bacou, Sandra Sjostrand, Georgia Adam, Katarzyna Kaczmarek, Adrian Thomson, Tomas Jansson, Susan Moug, Susan Farrington, Carmel M Moran, Helen Mulvana. Pre-clinical development of contrast-enhanced magneto-motive ultrasound imaging of lymph nodes2022 IEEE International Ultrasonics Symposium (IUS) 2022; : 1 doi: 10.1109/IUS54386.2022.9958823
123
Meng Han, Ruirui Kang, Chunquan Zhang. Lymph Node Mapping for Tumor MicrometastasisACS Biomaterials Science & Engineering 2022; 8(6): 2307 doi: 10.1021/acsbiomaterials.2c00111
124
A. Akilandeswari, D. Sungeetha, Christeena Joseph, K. Thaiyalnayaki, K. Baskaran, R. Jothi Ramalingam, Hamad Al-Lohedan, Dhaifallah M. Al-dhayan, Muthusamy Karnan, Kibrom Meansbo Hadish, Arpita Roy. Automatic Detection and Segmentation of Colorectal Cancer with Deep Residual Convolutional Neural NetworkEvidence-Based Complementary and Alternative Medicine 2022; 2022: 1 doi: 10.1155/2022/3415603
125
Rui Wang, Qin Wang, Pan Li. Significance of carcinoembryonic antigen detection in the early diagnosis of colorectal cancer: A systematic review and meta-analysisWorld Journal of Gastrointestinal Surgery 2023; 15(12): 2907-2918 doi: 10.4240/wjgs.v15.i12.2907
126
Zongtai Zheng, Zhuoran Gu, Feijia Xu, Niraj Maskey, Yanyan He, Yang Yan, Tianyuan Xu, Shenghua Liu, Xudong Yao. Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancerCancer Imaging 2021; 21(1) doi: 10.1186/s40644-021-00433-3
127
Jeong-Min Choo, Se-Jin Baek, Jung-Myun Kwak, Jin Kim, Seon-Hahn Kim. Clinical characteristics and oncologic outcomes in patients with preoperative clinical T3 and T4 colon cancer who were staged as pathologic T3Annals of Surgical Treatment and Research 2020; 99(1): 37 doi: 10.4174/astr.2020.99.1.37
128
Lixiang Si, Yuxu Feng, Yajing Wang, Jie Zhong, Zijian Sun, Xiaoyou Li, Yan Sun. Clinical and pathological characteristics of multiple primary malignant neoplasms casesInternational Journal of Clinical Practice 2021; 75(11) doi: 10.1111/ijcp.14663
129
Marieke Stammes, Hendrica Prevoo, Meyke Ter Horst, Stéphanie Groot, Cornelis Van de Velde, Alan Chan, Lioe-Fee de Geus-Oei, Peter Kuppen, Alexander Vahrmeijer, Elena Pasquale, Cornelis Sier. Evaluation of EphA2 and EphB4 as Targets for Image-Guided Colorectal Cancer SurgeryInternational Journal of Molecular Sciences 2017; 18(2): 307 doi: 10.3390/ijms18020307
130
Sung Uk Bae, Kyoung Sook Won, Bong-Il Song, Woon Kyung Jeong, Seong Kyu Baek, Hae Won Kim. Accuracy of F-18 FDG PET/CT with optimal cut-offs of maximum standardized uptake value according to size for diagnosis of regional lymph node metastasis in patients with rectal cancerCancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0165-5
131
Xuqing Mao, Ruyi Mei, Shuxian Yu, Lan Shou, Wenzheng Zhang, Keshuai Li, Zejing Qiu, Tian Xie, Xinbing Sui. Emerging Technologies for the Detection of Cancer MicrometastasisTechnology in Cancer Research & Treatment 2022; 21: 153303382211003 doi: 10.1177/15330338221100355