Literature DB >> 10334233

Predictive factors of nodal metastases in oral cavity and oropharynx carcinomas.

V Giacomarra1, G Tirelli, L Papanikolla, R Bussani.   

Abstract

OBJECTIVE: To estimate the value of tumor (T)-related parameters (singly or in association) in predicting the presence of occult metastases in oral cavity and oropharynx carcinomas. STUDY
DESIGN: We considered tumor size (T size), Broders' grading of histologic differentiation (G), invasive cell grading (ICG), and thickness. For every single factor, we evaluated the correlation between the parameter and occult metastases in N0 neck disease, the correlation between the parameter and metastases independently from node (N) class, and the relation between the parameter and extracapsular spread. On the basis of previous results, we gave a score to each parameter that showed higher significativity the sum of which we called global score (GS). We compared the predictivity of metastasis of the GS to that of the single parameters to obtain a more efficacious index.
METHODS: Sixty-one patients with carcinomas of the oral cavity and oropharynx who underwent surgery on T and N were examined.
RESULTS: Our preliminary results have highlighted a significant correlation between G, ICG, and the presence of occult metastases. No correlation between T size and metastases was highlighted. The GS obtained from G and ICG turned out to be highly significant. A strong correlation was found between the ICG score and extracapsular spread: a high risk of extracapsular spread was found in patients with an ICG score > or =13.
CONCLUSION: We perform elective neck dissection in T1-T2 N0 neck disease with ICG > or =13 and GS1 > or =9.

Entities:  

Mesh:

Year:  1999        PMID: 10334233     DOI: 10.1097/00005537-199905000-00021

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  10 in total

1.  Perinerural, lymphovascular and depths of invasion in extrapolating nodal metastasis in oral cancer.

Authors:  Alkananda Sahoo; Swagatika Panda; Neeta Mohanty; Debkant Jena; Niranjan Mishra; Manas R Baisakh
Journal:  Clin Oral Investig       Date:  2019-05-28       Impact factor: 3.573

2.  Multicenter Trial of [18F]fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Staging of Head and Neck Cancer and Negative Predictive Value and Surgical Impact in the N0 Neck: Results From ACRIN 6685.

Authors:  Val J Lowe; Fenghai Duan; Rathan M Subramaniam; JoRean D Sicks; Justin Romanoff; Twyla Bartel; Jian Q Michael Yu; Brian Nussenbaum; Jeremy Richmon; Charles D Arnold; David Cognetti; Brendan C Stack
Journal:  J Clin Oncol       Date:  2019-02-15       Impact factor: 44.544

3.  A novel histopathological scoring system for patients with oral squamous cell carcinoma.

Authors:  Ali-Farid Safi; Kathrin Grochau; Uta Drebber; Volker Schick; Oliver Thiele; Tim Backhaus; Hans-Joachim Nickenig; Joachim E Zöller; Matthias Kreppel
Journal:  Clin Oral Investig       Date:  2019-01-23       Impact factor: 3.573

4.  Considerations in the treatment of the node-negative (N0) neck in glottic carcinomas.

Authors:  János Elô; Zsuzsa Balatoni; Zsuzsa Kótai; Réka Bártfai
Journal:  Pathol Oncol Res       Date:  2003-02-11       Impact factor: 3.201

5.  Variable CT findings of epithelial origin ovarian carcinoma according to the degree of histologic differentiation.

Authors:  Yun-Jin Jang; Jeong Kon Kim; Sung Bin Park; Kyoung-Sik Cho
Journal:  Korean J Radiol       Date:  2007 Mar-Apr       Impact factor: 3.500

Review 6.  Molecular changes in invasive front of oral cancer.

Authors:  Mohit Sharma; Parul Sah; Sonal Soi Sharma; Raghu Radhakrishnan
Journal:  J Oral Maxillofac Pathol       Date:  2013-05

Review 7.  Tumor Infiltration Depth as a Prognostic Parameter for Nodal Metastasis in Oral Squamous Cell Carcinoma.

Authors:  Padmaraj Hegde; Satadru Roy; Tripthi Shetty; B Rajendra Prasad; Urvashi Shetty
Journal:  Int J Appl Basic Med Res       Date:  2017 Oct-Dec

8.  A model to predict nodal metastasis in patients with oral squamous cell carcinoma.

Authors:  R K De Silva; B S M S Siriwardena; A Samaranayaka; W A M U L Abeyasinghe; W M Tilakaratne
Journal:  PLoS One       Date:  2018-08-09       Impact factor: 3.240

9.  Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods.

Authors:  Siow-Wee Chang; Sameem Abdul-Kareem; Amir Feisal Merican; Rosnah Binti Zain
Journal:  BMC Bioinformatics       Date:  2013-05-31       Impact factor: 3.169

10.  TRKB tyrosine kinase receptor is a potential therapeutic target for poorly differentiated oral squamous cell carcinoma.

Authors:  Kazumasa Moriwaki; Yusuke Ayani; Hiroko Kuwabara; Tetsuya Terada; Ryo Kawata; Michio Asahi
Journal:  Oncotarget       Date:  2018-05-18
  10 in total

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