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Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment.
Wengert GJ, Helbich TH, Woitek R, Kapetas P, Clauser P, Baltzer PA, Vogl WD, Weber M, Meyer-Baese A, Pinker K. Wengert GJ, et al. Among authors: pinker k. Eur Radiol. 2016 Nov;26(11):3917-3922. doi: 10.1007/s00330-016-4274-x. Epub 2016 Apr 23. Eur Radiol. 2016. PMID: 27108300 Free PMC article.
Quantitative Assessment of Breast Parenchymal Uptake on 18F-FDG PET/CT: Correlation with Age, Background Parenchymal Enhancement, and Amount of Fibroglandular Tissue on MRI.
Leithner D, Baltzer PA, Magometschnigg HF, Wengert GJ, Karanikas G, Helbich TH, Weber M, Wadsak W, Pinker K. Leithner D, et al. Among authors: pinker k. J Nucl Med. 2016 Oct;57(10):1518-1522. doi: 10.2967/jnumed.116.174904. Epub 2016 May 26. J Nucl Med. 2016. PMID: 27230924 Free article. Clinical Trial.
The potential of multiparametric MRI of the breast.
Pinker K, Helbich TH, Morris EA. Pinker K, et al. Br J Radiol. 2017 Jan;90(1069):20160715. doi: 10.1259/bjr.20160715. Epub 2016 Nov 2. Br J Radiol. 2017. PMID: 27805423 Free PMC article. Review.
MRI in the Assessment of BI-RADS® 4 lesions.
Leithner D, Wengert G, Helbich T, Morris E, Pinker K. Leithner D, et al. Among authors: pinker k. Top Magn Reson Imaging. 2017 Oct;26(5):191-199. doi: 10.1097/RMR.0000000000000138. Top Magn Reson Imaging. 2017. PMID: 28961568
Background, current role, and potential applications of radiogenomics.
Pinker K, Shitano F, Sala E, Do RK, Young RJ, Wibmer AG, Hricak H, Sutton EJ, Morris EA. Pinker K, et al. J Magn Reson Imaging. 2018 Mar;47(3):604-620. doi: 10.1002/jmri.25870. Epub 2017 Nov 2. J Magn Reson Imaging. 2018. PMID: 29095543 Free PMC article. Review.
238 results