BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Marhuenda A, Vilanova JC, Osorio-Vázquez I, Martínez-de-Alegría A, Gómez-Caamaño A. Advanced Imaging Techniques in Evaluation of Colorectal Cancer. Radiographics 2018;38:740-65. [PMID: 29676964 DOI: 10.1148/rg.2018170044] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
1 Golia Pernicka JS, Gagniere J, Chakraborty J, Yamashita R, Nardo L, Creasy JM, Petkovska I, Do RRK, Bates DDB, Paroder V, Gonen M, Weiser MR, Simpson AL, Gollub MJ. Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation. Abdom Radiol (NY) 2019;44:3755-63. [PMID: 31250180 DOI: 10.1007/s00261-019-02117-w] [Cited by in Crossref: 23] [Cited by in F6Publishing: 22] [Article Influence: 11.5] [Reference Citation Analysis]
2 Vaidya A, Ayat N, Buford M, Wang H, Shankardass A, Zhao Y, Gilmore H, Wang Z, Lu ZR. Noninvasive assessment and therapeutic monitoring of drug-resistant colorectal cancer by MR molecular imaging of extradomain-B fibronectin. Theranostics 2020;10:11127-43. [PMID: 33042274 DOI: 10.7150/thno.47448] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
3 Banegas-Luna AJ, Peña-García J, Iftene A, Guadagni F, Ferroni P, Scarpato N, Zanzotto FM, Bueno-Crespo A, Pérez-Sánchez H. Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. Int J Mol Sci 2021;22:4394. [PMID: 33922356 DOI: 10.3390/ijms22094394] [Reference Citation Analysis]
4 Ramzy GM, Koessler T, Ducrey E, McKee T, Ris F, Buchs N, Rubbia-Brandt L, Dietrich PY, Nowak-Sliwinska P. Patient-Derived In Vitro Models for Drug Discovery in Colorectal Carcinoma. Cancers (Basel) 2020;12:E1423. [PMID: 32486365 DOI: 10.3390/cancers12061423] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
5 Ponnatapura J, Lalwani N. Imaging of Colorectal Cancer: Screening, Staging, and Surveillance. Semin Roentgenol 2021;56:128-39. [PMID: 33858639 DOI: 10.1053/j.ro.2020.07.005] [Reference Citation Analysis]
6 Kobayashi Y, Ishibashi M, Kobayashi H. How will “democratization of artificial intelligence” change the future of radiologists? Jpn J Radiol 2019;37:9-14. [DOI: 10.1007/s11604-018-0793-5] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Tang X, Zhang SP, Luo Y, Xia LG, Gong JS. A Novel Magnetic Resonance Rectography for Rectal Cancer Staging. Chin Med J (Engl) 2018;131:2506-7. [PMID: 30334541 DOI: 10.4103/0366-6999.243556] [Reference Citation Analysis]
8 Tang X, Luo Y, Zhang S, Xia L, Gong J. Local staging of rectal cancer using fused high resolution diffusion weighted imaging and modified MR rectography. Quant Imaging Med Surg 2019;9:1592-6. [PMID: 31667144 DOI: 10.21037/qims.2019.08.02] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
9 Zhao JY, Gao X, Zhuang H, Wu YT, Luo Y, Jing JG, Zhang Y. Using shear wave elasticity in normal terminal ileum of a healthy southwest Chinese population: a pilot study of reference elasticity ranges. Quant Imaging Med Surg 2021;11:2677-87. [PMID: 34079733 DOI: 10.21037/qims-20-877] [Reference Citation Analysis]
10 Isaac A, Dalili D, Dalili D, Weber MA. State-of-the-art imaging for diagnosis of metastatic bone disease. Radiologe 2020;60:1-16. [PMID: 32211916 DOI: 10.1007/s00117-020-00666-6] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 10.0] [Reference Citation Analysis]
11 Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25(35): 5233-5256 [PMID: 31558870 DOI: 10.3748/wjg.v25.i35.5233] [Cited by in CrossRef: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
12 González-castro V, Cernadas E, Huelga E, Fernández-delgado M, Porto J, Antunez JR, Souto-bayarri M. CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning. Applied Sciences 2020;10:6214. [DOI: 10.3390/app10186214] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Lahoud RM, O'Shea A, El-Mouhayyar C, Atre ID, Eurboonyanun K, Harisinghani M. Tumour markers and their utility in imaging of abdominal and pelvic malignancies. Clin Radiol 2021;76:99-107. [PMID: 32861463 DOI: 10.1016/j.crad.2020.07.033] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 Simu P, Jung I, Banias L, Kovacs Z, Fulop ZZ, Bara T, Simu I, Gurzu S. Synchronous Colorectal Cancer: Improving Accuracy of Detection and Analyzing Molecular Heterogeneity-The Main Keys for Optimal Approach. Diagnostics (Basel) 2021;11:314. [PMID: 33671994 DOI: 10.3390/diagnostics11020314] [Reference Citation Analysis]
15 Tsai W, Hung W, Wang T, Liu H, Yang C, Wu S, Hsu H, Hsiao Y, Tsai H, Tseng C. Circulating tumor cell enumeration for improved screening and disease detection of patients with colorectal cancer. Biomedical Journal 2020. [DOI: 10.1016/j.bj.2020.09.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
16 Guo Y, Wang Q, Guo Y, Zhang Y, Fu Y, Zhang H. Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer.Sci Rep. 2021;11:9429. [PMID: 33941817 DOI: 10.1038/s41598-021-88831-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Pozo G, Pérez-Escutia MA, Ruíz A, Ferrando A, Milanés A, Cabello E, Díaz R, Prado A, Pérez-Regadera JF. Management of interruptions in radiotherapy treatments: Adaptive implementation in high workload sites. Rep Pract Oncol Radiother 2019;24:239-44. [PMID: 30858768 DOI: 10.1016/j.rpor.2019.02.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Ehsani S, Saatchian E, Sarikhani A, Montazerabadi A. 1H-MRS application in the evaluation of response to photo-thermal therapy using iron oxide-gold core-shell nanoparticles, an in vivo study. Photochem Photobiol Sci 2021;20:245-54. [PMID: 33721249 DOI: 10.1007/s43630-021-00012-2] [Reference Citation Analysis]
19 Stanzione A, Verde F, Romeo V, Boccadifuoco F, Mainenti PP, Maurea S. Radiomics and machine learning applications in rectal cancer: Current update and future perspectives. World J Gastroenterol 2021; 27(32): 5306-5321 [PMID: 34539134 DOI: 10.3748/wjg.v27.i32.5306] [Reference Citation Analysis]