Methods of predicting the disease in cancer patients
Oncology / / August 12, 2017
Reflections on the prognosis of cancer is to try to determine the life expectancy of his coming, and the character of this life, based on the established diagnosis.It should take into account the phase of the disease immediately after the end of treatment and the total period between primary treatment and death.
arguments about the forecast come largely from the knowledge of the three-, five-, ten- and fifteen-year terms of survival, which is derived from statistical processing of outcomes of treatment, under the supervision of the large group of patients, but this information is only a starting point forcalculating the individual forecast.
Establishing prognosis in each case requires consideration of a large number of criteria specific to the particular patient.A list of such criteria are listed below.
criteria for predicting tumor diseases
1. Criteria of the first importance:
tumor stage (size, germination in the surrounding tissues and organs, metastasis and his character);
histological structure of the tumor;
general state (weight loss, respiratory disorders, kidneys, heart);
time of diagnosis and the start of primary treatment;
treatment method (qualitative and quantitative point of view).
- Rehabilitation of cancer patients
- mental reactions patients diagnosed with cancer
- cancer and the importance of forecasting
- cancer control
- Cancer Types and causes
- cancer prevalence in the world
2. Criteria second significance:
immunological status, in particular, lymphocytic infiltration and metastasis of the tumor;
proliferative status of the tumor;
status of hormone receptors;
radiation dosage and immunity.
These criteria are the first and second conditional significance in predicting an individual may have a different meaning.For example, if lung cancer is very important histological structure of the tumor, the breast cancer this factor attach less importance.Role of patient weight loss factor plays an important role in fact only in tumors of the gastrointestinal tract.