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Cited by in F6Publishing
For: Tian S, Niu M, Xie L, Song Q, Liu A. Diffusion-tensor imaging for differentiating uterine sarcoma from degenerative uterine fibroids. Clin Radiol 2021;76:313.e27-32. [PMID: 33358441 DOI: 10.1016/j.crad.2020.11.115] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Bonde A, Andreazza Dal Lago E, Foster B, Javadi S, Palmquist S, Bhosale P. Utility of the Diffusion Weighted Sequence in Gynecological Imaging: Review Article. Cancers 2022;14:4468. [DOI: 10.3390/cancers14184468] [Reference Citation Analysis]
2 Dai M, Liu Y, Hu Y, Li G, Zhang J, Xiao Z, Lv F. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas. Eur Radiol 2022. [PMID: 35583712 DOI: 10.1007/s00330-022-08783-7] [Reference Citation Analysis]
3 Abdel Razek AAK, Baky KA, Helmy E. Diffusion Tensor Imaging in Characterization of Mediastinal Lymphadenopathy. Acad Radiol 2022;29 Suppl 2:S165-72. [PMID: 34736860 DOI: 10.1016/j.acra.2021.06.016] [Reference Citation Analysis]
4 Causa Andrieu P, Woo S, Kim TH, Kertowidjojo E, Hodgson A, Sun S. New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions. Curr Opin Oncol 2021;33:464-75. [PMID: 34172593 DOI: 10.1097/CCO.0000000000000758] [Cited by in F6Publishing: 2] [Reference Citation Analysis]