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PUBMED FOR HANDHELDS

Journal Abstract Search


277 related items for PubMed ID: 36370180

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  • 23. Predicting common solid renal tumors using machine learning models of classification of radiologist-assessed magnetic resonance characteristics.
    Lopes Vendrami C, McCarthy RJ, Villavicencio CP, Miller FH.
    Abdom Radiol (NY); 2020 Sep; 45(9):2797-2809. PubMed ID: 32666233
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  • 27. Defining the Added Value of 99mTc-MIBI SPECT/CT to Conventional Cross-Sectional Imaging in the Characterization of Enhancing Solid Renal Masses.
    Sheikhbahaei S, Jones CS, Porter KK, Rowe SP, Gorin MA, Baras AS, Pierorazio PM, Ball MW, Higuchi T, Johnson PT, Solnes LB, Epstein JI, Allaf ME, Javadi MS.
    Clin Nucl Med; 2017 Apr; 42(4):e188-e193. PubMed ID: 28114223
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  • 28. Multiphasic enhancement patterns of small renal masses (≤4 cm) on preoperative computed tomography: utility for distinguishing subtypes of renal cell carcinoma, angiomyolipoma, and oncocytoma.
    Pierorazio PM, Hyams ES, Tsai S, Feng Z, Trock BJ, Mullins JK, Johnson PT, Fishman EK, Allaf ME.
    Urology; 2013 Jun; 81(6):1265-71. PubMed ID: 23601445
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  • 35. Preoperative prediction of renal fibrous capsule invasion in clear cell renal cell carcinoma using CT-based radiomics model.
    Zhang Y, Zhao J, Li Z, Yang M, Ye Z.
    Br J Radiol; 2024 Sep 01; 97(1161):1557-1567. PubMed ID: 38897659
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  • 36. Performance of Relative Enhancement on Multiphasic MRI for the Differentiation of Clear Cell Renal Cell Carcinoma (RCC) From Papillary and Chromophobe RCC Subtypes and Oncocytoma.
    Young JR, Coy H, Kim HJ, Douek M, Lo P, Pantuck AJ, Raman SS.
    AJR Am J Roentgenol; 2017 Apr 01; 208(4):812-819. PubMed ID: 28125273
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  • 37. Can contrast-enhanced ultrasound and acoustic radiation force impulse imaging characterize CT-indeterminate renal masses? A prospective evaluation with histological confirmation.
    Thaiss WM, Bedke J, Kruck S, Spira D, Stenzl A, Nikolaou K, Horger M, Kaufmann S.
    World J Urol; 2019 Jul 01; 37(7):1339-1346. PubMed ID: 30324296
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