BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

438 related articles for article (PubMed ID: 22344404)

  • 1. Small (<4 cm) renal mass: differentiation of angiomyolipoma without visible fat from renal cell carcinoma utilizing MR imaging.
    Sasiwimonphan K; Takahashi N; Leibovich BC; Carter RE; Atwell TD; Kawashima A
    Radiology; 2012 Apr; 263(1):160-8. PubMed ID: 22344404
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of T1-Weighted MRI to Detect Intratumoral Hemorrhage Within Papillary Renal Cell Carcinoma as a Feature Differentiating From Angiomyolipoma Without Visible Fat.
    Murray CA; Quon M; McInnes MD; van der Pol CB; Hakim SW; Flood TA; Schieda N
    AJR Am J Roentgenol; 2016 Sep; 207(3):585-91. PubMed ID: 27275530
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Angiomyolipoma with minimal fat: can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques?
    Hindman N; Ngo L; Genega EM; Melamed J; Wei J; Braza JM; Rofsky NM; Pedrosa I
    Radiology; 2012 Nov; 265(2):468-77. PubMed ID: 23012463
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unenhanced CT and MRI Parameters That Can Be Used to Reliably Predict Fat-Invisible Angiomyolipoma.
    Jeong CJ; Park BK; Park JJ; Kim CK
    AJR Am J Roentgenol; 2016 Feb; 206(2):340-7. PubMed ID: 26797361
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of T2-weighted MRI with and without fat suppression for differentiating renal angiomyolipomas without visible fat from other renal tumors.
    Chung MS; Choi HJ; Kim MH; Cho KS
    AJR Am J Roentgenol; 2014 Apr; 202(4):765-71. PubMed ID: 24660704
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sonographic Features of Small (< 4 cm) Renal Tumors With Low Signal Intensity on T2-Weighted MR Images: Differentiating Minimal-Fat Angiomyolipoma From Renal Cell Carcinoma.
    Park KJ; Kim MH; Kim JK; Cho KS
    AJR Am J Roentgenol; 2018 Sep; 211(3):605-613. PubMed ID: 30040467
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Small (< 4 cm) Renal Tumors With Predominantly Low Signal Intensity on T2-Weighted Images: Differentiation of Minimal-Fat Angiomyolipoma From Renal Cell Carcinoma.
    Park JJ; Kim CK
    AJR Am J Roentgenol; 2017 Jan; 208(1):124-130. PubMed ID: 27824487
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Renal angiomyolipoma with minimal fat: differentiation from other neoplasms at double-echo chemical shift FLASH MR imaging.
    Kim JK; Kim SH; Jang YJ; Ahn H; Kim CS; Park H; Lee JW; Kim S; Cho KS
    Radiology; 2006 Apr; 239(1):174-80. PubMed ID: 16507752
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Value of T2-weighted MR imaging in differentiating low-fat renal angiomyolipomas from other renal tumors.
    Choi HJ; Kim JK; Ahn H; Kim CS; Kim MH; Cho KS
    Acta Radiol; 2011 Apr; 52(3):349-53. PubMed ID: 21498374
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Angiomyolipoma with minimal fat: differentiation from renal cell carcinoma at biphasic helical CT.
    Kim JK; Park SY; Shon JH; Cho KS
    Radiology; 2004 Mar; 230(3):677-84. PubMed ID: 14990834
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Circularity Index on Contrast-Enhanced Computed Tomography Helps Distinguish Fat-Poor Angiomyolipoma from Renal Cell Carcinoma: Retrospective Analyses of Histologically Proven 257 Small Renal Tumors Less Than 4 cm.
    Kang HS; Park JJ
    Korean J Radiol; 2021 May; 22(5):735-741. PubMed ID: 33660463
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer.
    Chandarana H; Rosenkrantz AB; Mussi TC; Kim S; Ahmad AA; Raj SD; McMenamy J; Melamed J; Babb JS; Kiefer B; Kiraly AP
    Radiology; 2012 Dec; 265(3):790-8. PubMed ID: 23175544
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI evaluation of small (<4cm) solid renal masses: multivariate modeling improves diagnostic accuracy for angiomyolipoma without visible fat compared to univariate analysis.
    Schieda N; Dilauro M; Moosavi B; Hodgdon T; Cron GO; McInnes MD; Flood TA
    Eur Radiol; 2016 Jul; 26(7):2242-51. PubMed ID: 26486936
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Renal cell carcinoma: dynamic contrast-enhanced MR imaging for differentiation of tumor subtypes--correlation with pathologic findings.
    Sun MR; Ngo L; Genega EM; Atkins MB; Finn ME; Rofsky NM; Pedrosa I
    Radiology; 2009 Mar; 250(3):793-802. PubMed ID: 19244046
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Double-echo gradient chemical shift MR imaging fails to differentiate minimal fat renal angiomyolipomas from other homogeneous solid renal tumors.
    Ferré R; Cornelis F; Verkarre V; Eiss D; Correas JM; Grenier N; Hélénon O
    Eur J Radiol; 2015 Mar; 84(3):360-365. PubMed ID: 25547327
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Intensity ratio curve analysis of small renal masses on T2-weighted magnetic resonance imaging: Differentiation of fat-poor angiomyolipoma from renal cell carcinoma.
    Moriyama S; Yoshida S; Tanaka H; Tanaka H; Yokoyama M; Ishioka J; Matsuoka Y; Saito K; Kihara K; Fujii Y
    Int J Urol; 2018 Jun; 25(6):554-560. PubMed ID: 29577440
    [TBL] [Abstract][Full Text] [Related]  

  • 18. T1 hyperintense renal lesions: characterization with diffusion-weighted MR imaging versus contrast-enhanced MR imaging.
    Kim S; Jain M; Harris AB; Lee VS; Babb JS; Sigmund EE; Rueff LE; Taouli B
    Radiology; 2009 Jun; 251(3):796-807. PubMed ID: 19380690
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Routinely performed multiparametric magnetic resonance imaging helps to differentiate common subtypes of renal tumours.
    Cornelis F; Tricaud E; Lasserre AS; Petitpierre F; Bernhard JC; Le Bras Y; Yacoub M; Bouzgarrou M; Ravaud A; Grenier N
    Eur Radiol; 2014 May; 24(5):1068-80. PubMed ID: 24557052
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combined late gadolinium-enhanced and double-echo chemical-shift MRI help to differentiate renal oncocytomas with high central T2 signal intensity from renal cell carcinomas.
    Cornelis F; Lasserre AS; Tourdias T; Deminière C; Ferrière JM; Le Bras Y; Grenier N
    AJR Am J Roentgenol; 2013 Apr; 200(4):830-8. PubMed ID: 23521457
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.