BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: 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]
Number Citing Articles
1 Zhang B, Song L, Yin J. Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors. Front Oncol 2021;11:688182. [PMID: 34307153 DOI: 10.3389/fonc.2021.688182] [Reference Citation Analysis]
2 Skarping I, Larsson M, Förnvik D. Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept. Eur Radiol 2021. [PMID: 34652522 DOI: 10.1007/s00330-021-08306-w] [Reference Citation Analysis]
3 Ke ZR, Chen W, Li MX, Wu S, Jin LT, Wang TJ. Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients. World J Clin Cases 2022; 10(11): 3389-3400 [DOI: 10.12998/wjcc.v10.i11.3389] [Reference Citation Analysis]
4 Jin J, Liu YH, Zhang B. Diagnostic Performance of Strain and Shear Wave Elastography for the Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: Systematic Review and Meta-Analysis. J Ultrasound Med 2021. [PMID: 34967455 DOI: 10.1002/jum.15930] [Reference Citation Analysis]