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For: Inoue A, Sheedy SP, Heiken JP, Mohammadinejad P, Graham RP, Lee HE, Kelley SR, Hansel SL, Bruining DH, Fidler JL, Fletcher JG. MRI-detected extramural venous invasion of rectal cancer: Multimodality performance and implications at baseline imaging and after neoadjuvant therapy. Insights Imaging 2021;12:110. [PMID: 34370093 DOI: 10.1186/s13244-021-01023-4] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Horvat N, El Homsi M, Miranda J, Mazaheri Y, Gollub MJ, Paroder V. Rectal MRI Interpretation After Neoadjuvant Therapy. J Magn Reson Imaging 2023;57:353-69. [PMID: 36073323 DOI: 10.1002/jmri.28426] [Reference Citation Analysis]
2 Gao W, Zhang Y, Dou Y, Zhao L, Wu H, Yang Z, Liu A, Zhu L, Hao F. Association between extramural vascular invasion and iodine quantification using dual-energy computed tomography of rectal cancer: a preliminary study. Eur J Radiol 2023;158:110618. [PMID: 36455337 DOI: 10.1016/j.ejrad.2022.110618] [Reference Citation Analysis]
3 Gawiński C, Hołdakowska A, Wyrwicz L. Correlation between Lymphocyte-to-Monocyte Ratio (LMR), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR) and Extramural Vascular Invasion (EMVI) in Locally Advanced Rectal Cancer. Curr Oncol 2022;30:545-58. [PMID: 36661692 DOI: 10.3390/curroncol30010043] [Reference Citation Analysis]
4 Yuan H, Xu X, Tu S, Chen B, Wei Y, Ma Y. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma. BMC Gastroenterol 2022;22:463. [DOI: 10.1186/s12876-022-02525-1] [Reference Citation Analysis]
5 Ufuk F. Letter to the Editor: "Extramural venous invasion (EMVI) revisited: a detailed analysis of various characteristics of EMVI and their role as a predictive imaging biomarker in the neoadjuvant treatment response in rectal cancer". Abdom Radiol (NY) 2022;47:3276-7. [PMID: 35731267 DOI: 10.1007/s00261-022-03590-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Yuan H, Peng Y, Xu X, Tu S, Wei Y, Ma Y. A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma. Cancer Manag Res 2022;14:2409-18. [PMID: 35971393 DOI: 10.2147/CMAR.S377138] [Reference Citation Analysis]
7 Zhang B, Xiao L, Zhou H, Li M, Wang J, Guo L, Chumnanvej S. Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis. Contrast Media & Molecular Imaging 2022;2022:1-8. [DOI: 10.1155/2022/3055465] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]