The prediction of patient prognosis has always been essential to the practice of medicine. By the early 20th century, Halsted (1) and others believed that solid tumors spread contiguously over time through a series of stages, from the primary tumor site, through the lymphatics, to distant organs, with each stage con-ferring an increasingly poor prognosis. A corollary of this view, supported by later research, was that, at diagnosis (clinical tumor–node–metastasis [TNM] stage) or after surgery (patho-logic TNM stage), tumor size or location (T), regional lymph node involvement (N), and distant metastases (M) were indices of disease spread and could be used to predict patient outcome. In 1953, the French surgeon Pierre Denoix proposed to the ...
Nora I Schneider, Cord LangnerInstitute of Pathology, Medical University of Graz, Graz, AustriaAbstr...
In addition to pathological TNM (pTNM) staging, the macroscopic staging (surgical TNM, sTNM) is anot...
Gastric cancer is one of most common malignancies in the world. Currently the prognostic prediction ...
Anatomical cancer extent is an important predictor of prognosis and determines treatment choices. In...
Head and neck malignant tumors are classified according to the TNM staging system. The TNM system is...
Background: Carrying out a correct anatomical classification of lung cancer is crucial to take clini...
Aim: Lymph node metastasis is the most important prognostic factor in patients with gastric cancer. ...
Contains fulltext : 52970pub.pdf (publisher's version ) (Closed access)BACKGROUND ...
Five decades ago, Denoix et al. proposed classification system (tumor node metastasis [TNM]) based o...
Staging systems for cancer, including the most universally used TNM classification system, have been...
The staging of tumors according to the 'TNM' system was developed by P Denoix between 1943 and 1952....
Disease burden is the most important determinant of survival in patients with cancer. This domain, r...
The correct staging of disease, with an exact definition of the extent of cancer at the diagnosis, i...
PURPOSE: New editions of the TNM staging system for colorectal cancer have been subject to extensive...
The correct staging of disease, with an exact definition of the extent of cancer at the diagnosis, i...
Nora I Schneider, Cord LangnerInstitute of Pathology, Medical University of Graz, Graz, AustriaAbstr...
In addition to pathological TNM (pTNM) staging, the macroscopic staging (surgical TNM, sTNM) is anot...
Gastric cancer is one of most common malignancies in the world. Currently the prognostic prediction ...
Anatomical cancer extent is an important predictor of prognosis and determines treatment choices. In...
Head and neck malignant tumors are classified according to the TNM staging system. The TNM system is...
Background: Carrying out a correct anatomical classification of lung cancer is crucial to take clini...
Aim: Lymph node metastasis is the most important prognostic factor in patients with gastric cancer. ...
Contains fulltext : 52970pub.pdf (publisher's version ) (Closed access)BACKGROUND ...
Five decades ago, Denoix et al. proposed classification system (tumor node metastasis [TNM]) based o...
Staging systems for cancer, including the most universally used TNM classification system, have been...
The staging of tumors according to the 'TNM' system was developed by P Denoix between 1943 and 1952....
Disease burden is the most important determinant of survival in patients with cancer. This domain, r...
The correct staging of disease, with an exact definition of the extent of cancer at the diagnosis, i...
PURPOSE: New editions of the TNM staging system for colorectal cancer have been subject to extensive...
The correct staging of disease, with an exact definition of the extent of cancer at the diagnosis, i...
Nora I Schneider, Cord LangnerInstitute of Pathology, Medical University of Graz, Graz, AustriaAbstr...
In addition to pathological TNM (pTNM) staging, the macroscopic staging (surgical TNM, sTNM) is anot...
Gastric cancer is one of most common malignancies in the world. Currently the prognostic prediction ...