A multivariate analysis with a logistic regression model was performed in 181 cases of patients affected by laryngeal cancer, in order to evaluate the histologic tumor factors in predicting metastatic risk. The patterns used were: grading, localization, extension to the extralaryngeal structures, mode of growth. Nodal metastases are less influenced by the localization and the differentiation grade of the tumor. Cancer extended to the extralaryngeal tissues and with "infiltrating" type of growth are significantly correlated with nodal involvement. Multivariate analysis seems to be the best method to identify the exact value of each histological parameter used in prognosis of laryngeal carcinoma
Squamous cell carcinoma of the larynx (LSCC) represents approximately 2% of all tumors. The involvem...
The presence of regional metastases of laryngeal cancer differs depending on the location of the tum...
<p>OR, odds ratio; CI, confidence interval.</p>#<p>All predictor variables are adjusted.</p
A multivariate analysis with a logistic regression model was performed in 181 cases of patients affe...
The presence of inflammatory reaction, plasma cells, and eosinophils in peritumoral connective tissu...
Abstract: Determination of cervical metastasis preoperatively is very important in planning the trea...
The authors present a series of 130 patients with laryngeal tumours submitted to total or horizontal...
OBJECTIVE: The aim of our study was to clarify the real importance of 16 possible prognostic factors...
<p>OR, odds ratio; CI, confidence interval.</p>#<p>All predictor variables are adjusted.</p
Abstract Background One third of all head and neck cancers are caused by laryngeal cancer. However, ...
The prognosis is suboptimal in patients with locoregionally advanced laryngeal carcinoma even after ...
The most important problem in the diagnosis of neoplastic diseases is not only to identify its malig...
Background. The comprehension of molecular events that underlie malignant transformation of squamous...
OBJECTIVE: To estimate the value of tumor (T)-related parameters (singly or in association) in predi...
Abstract Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The ...
Squamous cell carcinoma of the larynx (LSCC) represents approximately 2% of all tumors. The involvem...
The presence of regional metastases of laryngeal cancer differs depending on the location of the tum...
<p>OR, odds ratio; CI, confidence interval.</p>#<p>All predictor variables are adjusted.</p
A multivariate analysis with a logistic regression model was performed in 181 cases of patients affe...
The presence of inflammatory reaction, plasma cells, and eosinophils in peritumoral connective tissu...
Abstract: Determination of cervical metastasis preoperatively is very important in planning the trea...
The authors present a series of 130 patients with laryngeal tumours submitted to total or horizontal...
OBJECTIVE: The aim of our study was to clarify the real importance of 16 possible prognostic factors...
<p>OR, odds ratio; CI, confidence interval.</p>#<p>All predictor variables are adjusted.</p
Abstract Background One third of all head and neck cancers are caused by laryngeal cancer. However, ...
The prognosis is suboptimal in patients with locoregionally advanced laryngeal carcinoma even after ...
The most important problem in the diagnosis of neoplastic diseases is not only to identify its malig...
Background. The comprehension of molecular events that underlie malignant transformation of squamous...
OBJECTIVE: To estimate the value of tumor (T)-related parameters (singly or in association) in predi...
Abstract Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The ...
Squamous cell carcinoma of the larynx (LSCC) represents approximately 2% of all tumors. The involvem...
The presence of regional metastases of laryngeal cancer differs depending on the location of the tum...
<p>OR, odds ratio; CI, confidence interval.</p>#<p>All predictor variables are adjusted.</p