• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Prognostic factors of clinically stage I and II oral tongue carcinoma-A comparative study of stage, thickness, shape, growth pattern, invasive front malignancy grading, Martinez-Gimeno score, and pathologic features

    Author
    Wing Yuen, Anthony
    Lam, King Yin
    Lam, Lai Kun
    Ho, Chiu Ming
    Wong, Anna
    Chow, Tam Lin
    Yuen, Wah Fun
    Wei, William Ignace
    Year published
    2002
    Metadata
    Show full item record
    Abstract
    Purpose This study aims at evaluation of the different prognostic models, including stage, tumor thickness, shape, malignancy grading of tumor invasive front, Martinez-Gimeno score, and pathologic features in the prediction of subclinical nodal metastasis, local recurrence, and survival of early T1 and T2 oral tongue squamous cell carcinoma. The results will have important implication for the management of patients. Patients and Methods Seventy-two clinically T1 and T2 glossectomy specimens of oral tongue carcinoma were serially sectioned in 3-mm thickness for the evaluation of various pathologic features. The ...
    View more >
    Purpose This study aims at evaluation of the different prognostic models, including stage, tumor thickness, shape, malignancy grading of tumor invasive front, Martinez-Gimeno score, and pathologic features in the prediction of subclinical nodal metastasis, local recurrence, and survival of early T1 and T2 oral tongue squamous cell carcinoma. The results will have important implication for the management of patients. Patients and Methods Seventy-two clinically T1 and T2 glossectomy specimens of oral tongue carcinoma were serially sectioned in 3-mm thickness for the evaluation of various pathologic features. The prognostic value in the prediction of subclinical nodal metastasis, local recurrence, and survival of different models were compared. Results Among all the tumor parameters and predictive models being evaluated, tumor thickness was the only significant factor that had significant predictive value for subclinical nodal metastasis, local recurrence, and survival. With the use of 3-mm and 9-mm division, tumor of up to 3-mm thickness has 8% subclinical nodal metastasis, 0% local recurrence, and 100% 5-year actuarial disease-free survival; tumor thickness of more than 3 mm and up to 9 mm had 44% subclinical nodal metastasis, 7% local recurrence, and 76% 5-year actuarial disease-free survival; tumor of more than 9 mm had 53% subclinical nodal metastasis, 24% local recurrence, and 66% 5-year actuarial disease-free survival. Conclusions Tumor thickness should be considered in the management planning of patients with early oral tongue carcinoma.
    View less >
    Journal Title
    Head & Neck
    Volume
    24
    Issue
    6
    DOI
    https://doi.org/10.1002/hed.10094
    Publication URI
    http://hdl.handle.net/10072/21783
    Collection
    • Journal articles

    Footer

    Social media

    • Facebook
    • Twitter
    • YouTube
    • Instagram
    • Linkedin
    First peoples of Australia
    • Aboriginal
    • Torres Strait Islander

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E

    Tagline

    • Gold Coast
    • Logan
    • Brisbane
    • Australia