METHOD FOR PREDICTING LOCAL RELAPSE OF PROSTATIC TUMOR AFTER RADICAL PROSTATECTOMY Russian patent published in 2006 - IPC A61B8/00 A61B10/00 

FIELD: medicine, oncological urology.

SUBSTANCE: in pre-operational period one should detect patient's age, the availability of severe concomitant pulmonary pathology, clinical stage of tumor, intergrowth of prostatic capsule in case of finger-type rectal investigation, tumor localization in prostatic central area at ultrasound testing, intergrowth of prostatic capsule at ultrasound investigation, if a patient has got the closest relatives suffering with prostatic cancer or if a patient has got the closest relatives suffering with the cancer of another localization. It is necessary to calculate the value for the risk of local relapse by the following formula: R=-(0.046xAGE)+(1.01xCONCOMIT)+0.45x(CLIN T)+(1.78xPERRECT)+(0.65xTRUSI 1)+(0.74xTRUSI 2)+(0.87xRELATIV 1)+(0.05xRELATIV 2), where AGE - patient's age (yr); CONCOMIT - the availability of severe concomitant pulmonary pathology: 0 -yes, 1 - no; CLIN T - clinical stage of tumor: 1 -T1, 2 -T2, 3 - T3; PERRECT - intergrowth of prostatic capsule in case of finger-type rectal investigation: 0 - no, 1 - yes; TRUSI 1 - localization of prostatic tumor in prostatic central area in case of trans-rectal ultrasound investigation: 0 - no, 1 - yes; TRUSI 2 - intergrowth of prostatic capsule in case of trans-rectal investigation : 0 - no, 1 - yes; RELATIV 1 - if a patient has got the closest relatives suffering with prostatic cancer: 0 - no, 1 -yes; RELATIV 2 - if a patient has got the closest relatives suffering with cancer of another localization: 0 - no, 1 - yes. At values being R>0 one should predict the risk of local; relapse during 5 years. The innovation enables to carry out complex evaluation of the most informative risk factors of local relapse of prostatic tumor at pre-operational stage after radical prostatectomy in digital equivalent by taking into account individual clinical value of each risk factor.

EFFECT: higher efficiency and accuracy of prediction.

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