These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 23243639)

  • 1. The value of a new score for sonoelastographic differentiation between benign and malignant cervical lymph nodes.
    Lenghel LM; Bolboaca SD; Botar-Jid C; Baciut G; Dudea SM
    Med Ultrason; 2012 Dec; 14(4):271-7. PubMed ID: 23243639
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparative study of three sonoelastographic scores for differentiation between benign and malignant cervical lymph nodes.
    Lenghel LM; Botar Jid C; Bolboaca SD; Ciortea C; Vasilescu D; Baciut G; Dudea SM
    Eur J Radiol; 2015 Jun; 84(6):1075-82. PubMed ID: 25802207
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intra- and interobserver agreement of endoscopic sonoelastography in the evaluation of lymph nodes.
    Larsen MH; Fristrup CW; Mortensen MB
    Ultraschall Med; 2011 Dec; 32 Suppl 2():E45-50. PubMed ID: 22194049
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Shear Wave Elastography in Head and Neck Lymph Node Assessment: Image Quality and Diagnostic Impact Compared with B-Mode and Doppler Ultrasonography.
    Desmots F; Fakhry N; Mancini J; Reyre A; Vidal V; Jacquier A; Santini L; Moulin G; Varoquaux A
    Ultrasound Med Biol; 2016 Feb; 42(2):387-98. PubMed ID: 26617244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Noninvasive Evaluation of Benign and Malignant Superficial Lymph Nodes by Virtual Touch Tissue Quantification: A Pilot Study.
    Chen S; Lin X; Chen X; Zheng B
    J Ultrasound Med; 2016 Mar; 35(3):571-5. PubMed ID: 26921088
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Differentiation Between Malignant and Benign Lymph Nodes: Role of Superb Microvascular Imaging in the Evaluation of Cervical Lymph Nodes.
    Sim JK; Lee JY; Hong HS
    J Ultrasound Med; 2019 Nov; 38(11):3025-3036. PubMed ID: 30945325
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The place of CEUS in distinguishing benign from malignant cervical lymph nodes: a prospective study.
    Poanta L; Serban O; Pascu I; Pop S; Cosgarea M; Fodor D
    Med Ultrason; 2014 Mar; 16(1):7-14. PubMed ID: 24567918
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Virtual Touch Tissue Imaging Quantification Shear Wave Elastography: Prospective Assessment of Cervical Lymph Nodes.
    Cheng KL; Choi YJ; Shim WH; Lee JH; Baek JH
    Ultrasound Med Biol; 2016 Feb; 42(2):378-86. PubMed ID: 26553206
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Differentiation of malignant and benign superficial lymph nodes by dual time point 18F-FDG PET].
    Su MG; Fan QP; Tian Y; Li FL; Yang XC; Li L; Fan CZ; Tian R
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2009 May; 40(3):517-20. PubMed ID: 19627018
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Value of Elasticity Contrast Index of Ultrasonography in Differentiating Benign and Malignant Cervical Lymph Nodes].
    Ge XF; Li L; Cui LG; Xue H
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2018 Oct; 40(5):680-684. PubMed ID: 30404702
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Lymphadenopathy: differentiation of benign from malignant disease--color Doppler US assessment of intranodal angioarchitecture.
    Tschammler A; Ott G; Schang T; Seelbach-Goebel B; Schwager K; Hahn D
    Radiology; 1998 Jul; 208(1):117-23. PubMed ID: 9646801
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differential diagnosis of cervical lymphadenopathy: usefulness of color Doppler sonography.
    Na DG; Lim HK; Byun HS; Kim HD; Ko YH; Baek JH
    AJR Am J Roentgenol; 1997 May; 168(5):1311-6. PubMed ID: 9129432
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Differentiation of abdominal lymphadenoptahy with power Doppler sonography].
    Neumann-Silkow H; Görg C
    Rofo; 2010 Mar; 182(3):229-34. PubMed ID: 20084598
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preliminary Evaluation of Virtual Touch Tissue Imaging Quantification for Differential Diagnosis of Metastatic and Nonmetastatic Cervical Lymph Nodes.
    Zhao Y; Xi J; Zhao B; Xiong W; Jiang D; Yang L; Cai Z; Liu T; Jiang H; Rong S; Jin X
    J Ultrasound Med; 2017 Mar; 36(3):557-563. PubMed ID: 28127781
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sonographic assessment of cervical lymphadenopathy: role of high-resolution and color Doppler imaging.
    Gupta A; Rahman K; Shahid M; Kumar A; Qaseem SM; Hassan SA; Siddiqui FA
    Head Neck; 2011 Mar; 33(3):297-302. PubMed ID: 20652889
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Value of Shear Wave Elastography Versus Contrast-Enhanced Sonography for Differentiating Benign and Malignant Superficial Lymphadenopathy Unexplained by Conventional Sonography.
    Tan S; Miao LY; Cui LG; Sun PF; Qian LX
    J Ultrasound Med; 2017 Jan; 36(1):189-199. PubMed ID: 27925679
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cervical lymph node metastases: diagnosis at sonoelastography--initial experience.
    Lyshchik A; Higashi T; Asato R; Tanaka S; Ito J; Hiraoka M; Insana MF; Brill AB; Saga T; Togashi K
    Radiology; 2007 Apr; 243(1):258-67. PubMed ID: 17293571
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiation of benign and malignant cervical lymph nodes with color Doppler sonography.
    Chang DB; Yuan A; Yu CJ; Luh KT; Kuo SH; Yang PC
    AJR Am J Roentgenol; 1994 Apr; 162(4):965-8. PubMed ID: 8141027
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis of cervical lymph nodes on ultrasonography.
    Zhang J; Wang Y; Dong Y; Wang Y
    Comput Biol Med; 2008 Feb; 38(2):234-43. PubMed ID: 18022610
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of endoscopic ultrasound elastography used for characterisation and differentiation of benign and malignant lymph nodes.
    Săftoiu A; Vilmann P; Hassan H; Gorunescu F
    Ultraschall Med; 2006 Dec; 27(6):535-42. PubMed ID: 17160759
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.