FIELD: medicine, oncology.
SUBSTANCE: the present innovation deals with treating patients with uterine choriocarcinoma being a prognostic criterion of chemotherapeutic efficiency. Before the onset of therapy it is necessary to detect the content of estradiol and testosterone in a patient's blood to calculate the ratio of estradiol against testosterone and at the value of this ratio being below 10% one should predict inefficiency of chemotherapy, and at the ratio being above 20% - effective chemotherapeutic treatment. The innovation provides the accuracy of prediction, simplicity and availability of this trial and, also, indicates the necessity for carrying out corresponding chemotherapy or other curative procedures and planning the stages of efficient therapy.
EFFECT: higher accuracy and efficiency of prediction.
1 ex, 1 tbl
Title | Year | Author | Number |
---|---|---|---|
METHOD FOR TREATING UTERINE CHORIOCARCINOMA CASES | 2006 |
|
RU2318502C2 |
METHOD OF FORECASTING OF AUTOHEMOCHEMIOTHERAPY EFFICIENCY AT PATIENTS WITH RELAPSES AND METASTASISES OF UTERUS NECK CANCER | 2007 |
|
RU2352942C1 |
METHOD OF PREDICTING DURATION OF RECURRENCE-FREE PERIOD IN RADICALLY TREATED PATIENTS WITH MAMMARY GLAND CANCER | 2009 |
|
RU2413231C2 |
METHOD FOR PREDICTION OF CERVICAL CANCER METASTASES | 2010 |
|
RU2436102C1 |
METHOD FOR PREDICTING RELAPSES IN SKIN MELANOMA PATIENTS | 2004 |
|
RU2275637C2 |
RECURRENT AND METASTASING CERVICAL CARCINOMA TREATMENT EFFECTIVENESS PREDICTION METHOD | 2007 |
|
RU2353928C1 |
METHOD OF ESTIMATING EFFICIENCY OF NEOADJUVANT AUTOHEMOCHEMOTHERAPY IN PATIENTS SUFFERING FROM CARCINOMA OF CERVIVAL STUMP | 2008 |
|
RU2375063C1 |
METHOD FOR PREDICTION OF CLINICAL COURSE IN DISSEMINATED SKIN MELANOMA PATIENTS | 2008 |
|
RU2399057C1 |
METHOD FOR PREDICTION OF EFFECTIVENESS OF NEOADJUVANT AUTOMYELOCHEMOTHERAPY IN PATIENTS WITH RECURRENT BREAST CANCER | 2008 |
|
RU2393484C1 |
METHOD OF PREDICTION OF RECURRENT VULVAR CANCER I AND II STAGE | 2015 |
|
RU2608508C1 |
Authors
Dates
2008-01-20—Published
2006-01-27—Filed