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For: Kim C, Han SA, Won KY, Hong IK, Kim DY. Early Prediction of Tumor Response to Neoadjuvant Chemotherapy and Clinical Outcome in Breast Cancer Using a Novel FDG-PET Parameter for Cancer Stem Cell Metabolism. J Pers Med 2020;10:E132. [PMID: 32957507 DOI: 10.3390/jpm10030132] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Gu J, Tong T, He C, Xu M, Yang X, Tian J, Jiang T, Wang K. Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study. Eur Radiol 2021. [PMID: 34654965 DOI: 10.1007/s00330-021-08293-y] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Gu J, Polley EC, Denis M, Carter JM, Pruthi S, Gregory AV, Boughey JC, Fazzio RT, Fatemi M, Alizad A. Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer. Breast Cancer Res 2021;23:52. [PMID: 33926522 DOI: 10.1186/s13058-021-01429-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]