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 *

82 related articles for article (PubMed ID: 1409080)

  • 1. Cytologic diagnosis of non-oxyphil follicular neoplasias of the thyroid. Multivariate classification procedure based on quantitative nucleolar features.
    Montironi R; Santinelli A; Scarpelli M; Braccischi A; Pisani E; Alberti R
    Pathol Res Pract; 1992 Jun; 188(4-5):504-9. PubMed ID: 1409080
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Discrimination between follicular adenoma and follicular carcinoma of the thyroid: preoperative validity of cytometry on aspiration smears.
    Montironi R; Alberti R; Sisti S; Braccischi A; Scarpelli M; Mariuzzi GM
    Appl Pathol; 1989; 7(6):367-74. PubMed ID: 2640896
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Value of quantitative nucleolar features in the preoperative cytological diagnosis of follicular neoplasias of the thyroid.
    Montironi R; Braccischi A; Scarpelli M; Matera G; Alberti R
    J Clin Pathol; 1991 Jun; 44(6):509-14. PubMed ID: 2066431
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Contribution of morphometry in the differential diagnosis of fine-needle thyroid aspirates.
    Karslioğlu Y; Celasun B; Günhan O
    Cytometry B Clin Cytom; 2005 May; 65(1):22-8. PubMed ID: 15779051
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of thyroid follicular lesions based on nuclear texture features--lesion size matters.
    Metze K; Ferreira RC; Adam RL
    Cytometry A; 2010 Dec; 77(12):1101-2. PubMed ID: 20972968
    [No Abstract]   [Full Text] [Related]  

  • 6. Fine-needle aspiration biopsy of Hurthle cell lesions of the thyroid gland: A cytomorphologic study of 139 cases with statistical analysis.
    Elliott DD; Pitman MB; Bloom L; Faquin WC
    Cancer; 2006 Apr; 108(2):102-9. PubMed ID: 16453320
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Morphometry in the cytologic evaluation of thyroid follicular lesions.
    Nagashima T; Suzuki M; Oshida M; Hashimoto H; Yagata H; Shishikura T; Koda K; Nakajima N
    Cancer; 1998 Apr; 84(2):115-8. PubMed ID: 9570215
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fine needle aspirates of follicular lesions of the thyroid gland. The intermediate-type smear.
    Ravinsky E; Safneck JR
    Acta Cytol; 1990; 34(6):813-20. PubMed ID: 2256417
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of artificial neural network for classification of thyroid follicular tumors.
    Shapiro NA; Poloz TL; Shkurupij VA; Tarkov MS; Poloz VV; Demin AV
    Anal Quant Cytol Histol; 2007 Apr; 29(2):87-94. PubMed ID: 17484272
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diagnostic value of AgNOR method in thyroid cytopathology: correlation with morphometric measurements.
    Solymosi T; Tóth V; Sápi Z; Bodó M; Gál I; Csanádi L
    Diagn Cytopathol; 1996 Mar; 14(2):140-4. PubMed ID: 8964170
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Well differentiated follicular neoplasms of the thyroid: reproducibility and validity of a 'decision tree' classification based on nucleolar and karyometric features.
    Montironi R; Braccischi A; Scarpelli M; Sisti S; Alberti R
    Cytopathology; 1992; 3(4):209-22. PubMed ID: 1421005
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computation of preoperative diagnosis probability for follicular adenoma and carcinoma of the thyroid on aspiration smears.
    Boon ME; Löwhagen T; Cardozo PL; Blonk DI; Kurver PJ; Baak JP
    Anal Quant Cytol; 1982 Mar; 4(1):1-5. PubMed ID: 7073140
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning vector quantizer in the investigation of thyroid lesions.
    Karakitsos P; Cochand-Priollet B; Pouliakis A; Guillausseau PJ; Ioakim-Liossi A
    Anal Quant Cytol Histol; 1999 Jun; 21(3):201-8. PubMed ID: 10560492
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantitative evaluation of nucleolar features on cytologic material in brain tumor diagnosis.
    Scarpelli M; Montironi R; Magi Galluzzi C; Diamanti L
    Clin Neuropathol; 1994; 13(6):323-8. PubMed ID: 7851047
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Morphometric study by image analysis of Ag-stained nucleoli in thyroids bearing proliferating lesions.
    Abdo-Banhos CR; Cordeiro JA; Rosa CS; Bicudo HE
    J Submicrosc Cytol Pathol; 2004 Jan; 36(1):37-43. PubMed ID: 15311673
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Synchronous occurrence of anaplastic, follicular and papillary carcinomas with follicular adenoma in thyroid gland.
    Bhargav PR; Gayathri KB
    Indian J Pathol Microbiol; 2011; 54(2):414-5; author reply 415. PubMed ID: 21623114
    [No Abstract]   [Full Text] [Related]  

  • 17. [Borderline lesions of the thyroid: diagnostic strategy].
    Belleannée G; Trouette H; De Mascarel A
    Arch Anat Cytol Pathol; 1998; 46(1-2):112-20. PubMed ID: 9754366
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Morphometric studies on fine-needle aspirates from follicular proliferative lesions of the thyroid.
    Cavallari V; Maiorana A; La Rosa GL; Maiorana MC; Scimone S; Fano RA
    Pathologica; 1989; 81(1074):441-6. PubMed ID: 2626280
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Overexpression of the nucleolar organizer regions (NORs) in the thyroid follicular tumours. Comparison of the cytological and histopathological examinations.
    Musiatowicz B; Dziecioł J; Augustynowicz A; Miller-Famulska D; Sulik M; Famulski W; Chabowski A; Jabłońska E; Andrzejewicz A; Mielech W; Guzińska-Ostymowicz K
    Rocz Akad Med Bialymst; 1998; 43():186-93. PubMed ID: 9972054
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Galectin-3 does not reliably distinguish benign from malignant thyroid neoplasms.
    Mehrotra P; Okpokam A; Bouhaidar R; Johnson SJ; Wilson JA; Davies BR; Lennard TW
    Histopathology; 2004 Nov; 45(5):493-500. PubMed ID: 15500653
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.