[Multiple regression equation evaluating the resectability for liver tumors]

Abstract

In order to avoid postoperative liver failure after resection of the liver associated with chronic injury, an accurate evaluation of resectability should be established based on available preoperative factors. This paper reports our multiple regression analysis of the correlation between the prognosis (Y) after hepatectomy and the seventeen sorts of preoperative factors (X) to obtain a multiple regression equation predicting the prognosis. The analysis was employed on 36 patients who underwent hepatectomy of varying extent. The prognosis (Y) was represented in our scoring system (0-100 point) determined by the degree of postoperative liver failure. As a result, the following multiple regression equation, consisting of four prognostic factors, was derived. Y = -110 + 0.942X1 + 1.36 X2 + 1.17 X X3 + 5.94 X X4 (X1 = resection rate of the liver tissue calculated by C.T. Scan, X2 = retention rate of ICG (15)%, X3 = age, X4 = maximal removal rate of ICG (mg/kg/min). The Y-score of 36 patients computed by this equation revealed that: Y-scores of the 8 patients with fatal liver failure had wholly more than fifty points, and Y-scores of the remaining 28 patients with a favourable course had less than fifty points. The validity of this equation was ascertained through the predetermined Y-score, in which critical point is set about fifty points or more, for other 49 patients. By this equation, accurate evaluation of resectability for liver tumors has been made possible.