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Cited by in F6Publishing
For: Alavi A, Carlin SD, Werner TJ, Al-zaghal A. Suboptimal Sensitivity and Specificity of PET and Other Gross Imaging Techniques in Assessing Lymph Node Metastasis. Mol Imaging Biol 2019;21:808-11. [DOI: 10.1007/s11307-018-01311-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Goel S, Shi S. Promise of hypoxia-targeted tracers in metastatic lymph node imaging. Eur J Nucl Med Mol Imaging 2022. [PMID: 35994060 DOI: 10.1007/s00259-022-05938-y] [Reference Citation Analysis]
2 Huang W, Wang K, Huang W, He Z, Zhang J, Zhang B, Xiong Z, Gillen KM, Li W, Chen F, Yang X, Zhang S, Tian J. Carbonic anhydrase IX stratifies patient prognosis and identifies nodal status in animal models of nasopharyngeal carcinoma using a targeted imaging strategy. Eur J Nucl Med Mol Imaging 2022. [PMID: 35925443 DOI: 10.1007/s00259-022-05922-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Borrelli P, Larsson M, Ulén J, Enqvist O, Trägårdh E, Poulsen MH, Mortensen MA, Kjölhede H, Høilund-Carlsen PF, Edenbrandt L. Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival. Clin Physiol Funct Imaging 2021;41:62-7. [PMID: 32976691 DOI: 10.1111/cpf.12666] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
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