BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

332 related articles for article (PubMed ID: 27666630)

  • 1. Soft tissue masses with myxoid stroma: Can conventional magnetic resonance imaging differentiate benign from malignant tumors?
    Crombe A; Alberti N; Stoeckle E; Brouste V; Buy X; Coindre JM; Kind M
    Eur J Radiol; 2016 Oct; 85(10):1875-1882. PubMed ID: 27666630
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Differentiation of myxoid liposarcoma by magnetic resonance imaging: a histopathologic correlation.
    Löwenthal D; Zeile M; Niederhagen M; Fehlberg S; Schnapauff D; Pink D; Tunn PU; Reichardt P; Hamm B; Dudeck O
    Acta Radiol; 2014 Oct; 55(8):952-60. PubMed ID: 24123962
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Myxoid liposarcoma. MRI imaging].
    Soulié D; Boyer B; Lescop J; Pujol A; Le Friant G; Cordoliani YS
    J Radiol; 1995 Jan; 76(1):29-36. PubMed ID: 7861366
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Myxoid liposarcoma: appearance at MR imaging with histologic correlation.
    Sung MS; Kang HS; Suh JS; Lee JH; Park JM; Kim JY; Lee HG
    Radiographics; 2000; 20(4):1007-19. PubMed ID: 10903690
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Characterization of indeterminate soft tissue masses referred for biopsy: What is the added value of contrast imaging at 3.0 tesla?
    Del Grande F; Ahlawat S; Subhawong T; Fayad LM
    J Magn Reson Imaging; 2017 Feb; 45(2):390-400. PubMed ID: 27417663
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Alveolar soft-part sarcoma: can MRI help discriminating from other soft-tissue tumors? A study of the French sarcoma group.
    Crombé A; Brisse HJ; Ledoux P; Haddag-Miliani L; Bouhamama A; Taieb S; Le Loarer F; Kind M
    Eur Radiol; 2019 Jun; 29(6):3170-3182. PubMed ID: 30560359
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Homogeneous myxoid liposarcomas mimicking cysts on MRI: A challenging diagnosis.
    Crombé A; Loarer FL; Alberti N; Buy X; Stoeckle E; Cousin S; Toulmonde M; Coindre JM; Italiano A; Kind M
    Eur J Radiol; 2018 May; 102():41-48. PubMed ID: 29685543
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiologic and clinicopathologic findings of peripheral primitive neuroectodermal tumors.
    Ba L; Tan H; Xiao H; Guan Y; Gao J; Gao X
    Acta Radiol; 2015 Jul; 56(7):820-8. PubMed ID: 25073463
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MRI of soft-tissue tumors: fast STIR sequence as substitute for T1-weighted fat-suppressed contrast-enhanced spin-echo sequence.
    Tokuda O; Harada Y; Matsunaga N
    AJR Am J Roentgenol; 2009 Dec; 193(6):1607-14. PubMed ID: 19933655
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Texture analysis of magnetic resonance image to differentiate benign from malignant myxoid soft tissue tumors: A retrospective comparative study.
    Chang H; Kang Y; Ahn JM; Lee E; Lee JW; Kang HS
    PLoS One; 2022; 17(5):e0267569. PubMed ID: 35587928
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Liposarcoma of the extremities: MR imaging features and their correlation with pathologic data.
    El Ouni F; Jemni H; Trabelsi A; Ben Maitig M; Arifa N; Ben Rhouma K; Ben Ayech M; Tlili K
    Orthop Traumatol Surg Res; 2010 Dec; 96(8):876-83. PubMed ID: 20934400
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors.
    Dodin G; Salleron J; Jendoubi S; Abou Arab W; Sirveaux F; Blum A; Gondim Teixeira PA
    Eur Radiol; 2021 Mar; 31(3):1536-1547. PubMed ID: 32885297
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiating benign and malignant soft tissue masses by magnetic resonance imaging: role of tissue component analysis.
    Chen CK; Wu HT; Chiou HJ; Wei CJ; Yen CH; Chang CY; Chen WM
    J Chin Med Assoc; 2009 Apr; 72(4):194-201. PubMed ID: 19372075
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Usefulness of diffusion-weighted MR imaging for differentiating between benign and malignant superficial soft tissue tumours and tumour-like lesions.
    Jeon JY; Chung HW; Lee MH; Lee SH; Shin MJ
    Br J Radiol; 2016; 89(1060):20150929. PubMed ID: 26892266
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differentiation of lipoma from liposarcoma on MRI using texture and shape analysis.
    Thornhill RE; Golfam M; Sheikh A; Cron GO; White EA; Werier J; Schweitzer ME; Di Primio G
    Acad Radiol; 2014 Sep; 21(9):1185-94. PubMed ID: 25107867
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Value of MR findings in predicting the nature of the soft tissue lesions: benign, malignant or undetermined lesion?
    Soler R; Castro JM; Rodríguez E
    Comput Med Imaging Graph; 1996; 20(3):163-9. PubMed ID: 8930469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Soft-tissue myxomatous lesions: review of salient imaging features with pathologic comparison.
    Petscavage-Thomas JM; Walker EA; Logie CI; Clarke LE; Duryea DM; Murphey MD
    Radiographics; 2014; 34(4):964-80. PubMed ID: 25019435
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiation of soft tissue benign and malignant peripheral nerve sheath tumors with magnetic resonance imaging.
    Li CS; Huang GS; Wu HD; Chen WT; Shih LS; Lii JM; Duh SJ; Chen RC; Tu HY; Chan WP
    Clin Imaging; 2008; 32(2):121-7. PubMed ID: 18313576
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MR imaging differentiation of soft-tissue hemangiomas from malignant soft-tissue masses.
    Teo EL; Strouse PJ; Hernandez RJ
    AJR Am J Roentgenol; 2000 Jun; 174(6):1623-8. PubMed ID: 10845496
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The value of magnetic resonance imaging in the differentiation between malignant peripheral nerve-sheath tumors and non-neurogenic malignant soft-tissue tumors.
    Van Herendael BH; Heyman SR; Vanhoenacker FM; De Temmerman G; Bloem JL; Parizel PM; De Schepper AM
    Skeletal Radiol; 2006 Oct; 35(10):745-53. PubMed ID: 16775712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.