BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 32711010)

  • 1. Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.
    Fenstermaker M; Tomlins SA; Singh K; Wiens J; Morgan TM
    Urology; 2020 Oct; 144():152-157. PubMed ID: 32711010
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade.
    Mytsyk Y; Dutka I; Borys Y; Komnatska I; Shatynska-Mytsyk I; Farooqi AA; Gazdikova K; Caprnda M; Rodrigo L; Kruzliak P
    Int Urol Nephrol; 2017 Feb; 49(2):215-224. PubMed ID: 27853915
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation.
    Kocak B; Yardimci AH; Bektas CT; Turkcanoglu MH; Erdim C; Yucetas U; Koca SB; Kilickesmez O
    Eur J Radiol; 2018 Oct; 107():149-157. PubMed ID: 30292260
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
    Zabihollahy F; Schieda N; Krishna S; Ukwatta E
    Eur Radiol; 2020 Sep; 30(9):5183-5190. PubMed ID: 32350661
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning.
    Tabibu S; Vinod PK; Jawahar CV
    Sci Rep; 2019 Jul; 9(1):10509. PubMed ID: 31324828
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stimulated Raman histology as a method to determine the adequacy of renal mass biopsy and identify malignant subtypes of renal cell carcinoma.
    Mannas MP; Deng FM; Belanger EC; Jones D; Ren J; Huang W; Orringer DA; Taneja SS
    Urol Oncol; 2023 Jul; 41(7):328.e9-328.e13. PubMed ID: 37225634
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predictive Value of Chemical-Shift MRI in Distinguishing Clear Cell Renal Cell Carcinoma From Non-Clear Cell Renal Cell Carcinoma and Minimal-Fat Angiomyolipoma.
    Jhaveri KS; Elmi A; Hosseini-Nik H; Hedgire S; Evans A; Jewett M; Harisinghani M
    AJR Am J Roentgenol; 2015 Jul; 205(1):W79-86. PubMed ID: 26102422
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A promising biomarker to distinguish benign and malignant renal tumors: ELABELA.
    Artas G; Kuloglu T; Dagli AF; Ugur K; Yardim M; Aydin S; Artas H; Kocdor H
    Niger J Clin Pract; 2019 Mar; 22(3):386-392. PubMed ID: 30837428
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 208(4):812-819. PubMed ID: 28125273
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma.
    Marostica E; Barber R; Denize T; Kohane IS; Signoretti S; Golden JA; Yu KH
    Clin Cancer Res; 2021 May; 27(10):2868-2878. PubMed ID: 33722896
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
    Xi IL; Zhao Y; Wang R; Chang M; Purkayastha S; Chang K; Huang RY; Silva AC; Vallières M; Habibollahi P; Fan Y; Zou B; Gade TP; Zhang PJ; Soulen MC; Zhang Z; Bai HX; Stavropoulos SW
    Clin Cancer Res; 2020 Apr; 26(8):1944-1952. PubMed ID: 31937619
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel tumor grading scheme for chromophobe renal cell carcinoma: prognostic utility and comparison with Fuhrman nuclear grade.
    Paner GP; Amin MB; Alvarado-Cabrero I; Young AN; Stricker HJ; Moch H; Lyles RH
    Am J Surg Pathol; 2010 Sep; 34(9):1233-40. PubMed ID: 20679882
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning and radiomics: the utility of Google TensorFlowâ„¢ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentiation of clear from non-clear cell renal cell carcinoma using CT washout formula.
    Kopp RP; Aganovic L; Palazzi KL; Cassidy FH; Sakamoto K; Derweesh IH
    Can J Urol; 2013 Jun; 20(3):6790-7. PubMed ID: 23783049
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Plasma Glycosaminoglycans as Diagnostic and Prognostic Biomarkers in Surgically Treated Renal Cell Carcinoma.
    Gatto F; Blum KA; Hosseini SS; Ghanaat M; Kashan M; Maccari F; Galeotti F; Hsieh JJ; Volpi N; Hakimi AA; Nielsen J
    Eur Urol Oncol; 2018 Oct; 1(5):364-377. PubMed ID: 31158075
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Expression of renal cell carcinoma antigen (RCC) in renal epithelial and nonrenal tumors: diagnostic Implications.
    Bakshi N; Kunju LP; Giordano T; Shah RB
    Appl Immunohistochem Mol Morphol; 2007 Sep; 15(3):310-5. PubMed ID: 17721277
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A pyramidal deep learning pipeline for kidney whole-slide histology images classification.
    Abdeltawab H; Khalifa F; Ghazal M; Cheng L; Gondim D; El-Baz A
    Sci Rep; 2021 Oct; 11(1):20189. PubMed ID: 34642404
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Arterial spin-labeling MR imaging of renal masses: correlation with histopathologic findings.
    Lanzman RS; Robson PM; Sun MR; Patel AD; Mentore K; Wagner AA; Genega EM; Rofsky NM; Alsop DC; Pedrosa I
    Radiology; 2012 Dec; 265(3):799-808. PubMed ID: 23047841
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of Utility of Histogram Apparent Diffusion Coefficient and R2* for Differentiation of Low-Grade From High-Grade Clear Cell Renal Cell Carcinoma.
    Zhang YD; Wu CJ; Wang Q; Zhang J; Wang XN; Liu XS; Shi HB
    AJR Am J Roentgenol; 2015 Aug; 205(2):W193-201. PubMed ID: 26204307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiparametric magnetic resonance imaging for the differentiation of low and high grade clear cell renal carcinoma.
    Cornelis F; Tricaud E; Lasserre AS; Petitpierre F; Bernhard JC; Le Bras Y; Yacoub M; Bouzgarrou M; Ravaud A; Grenier N
    Eur Radiol; 2015 Jan; 25(1):24-31. PubMed ID: 25117747
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.