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本文尝试运用患者年龄和肿瘤形态特征来预测卵巢肿瘤的恶性概率。回顾分析959例卵巢肿瘤病例。所有病例均有详细的临床及病理记录。病人年龄、肿瘤最大直径、坚硬度、双侧性及特征(恶性、临界恶性与良性),临界恶性肿瘤作为恶性来分析。所有可变因素均和鉴别良、恶性肿瘤有很大的相关意义。其可变因素经回归方程处理,其中肿瘤双侧性(双侧系数为1,单侧为0),肿瘤坚硬度(实质性、多房性系数为1,单房为0),恶性组(含临界恶性)系数为1,良性为0。年龄和肿瘤最大直径作为连续可变的数值。将全部系数值同时进行方程计算,该恶性肿瘤的概率可由以下公式算出。P=1/1+e~(-m)。e~(-m)指自然对数(2.718)的负M乘方,M由线性公式从相关系数中导出。
This article attempts to predict the malignant probability of ovarian tumors using patient age and tumor morphology. A retrospective analysis of 959 cases of ovarian tumors. All cases have detailed clinical and pathological records. The patient’s age, maximum tumor diameter, firmness, bilaterality and characteristics (malignant, borderline malignant and benign), and critical malignancy were analyzed as malignant. All variables are associated with the identification of benign and malignant tumors are of great relevance. The variable factors were treated by the regression equation, including tumor bilateral (bilateral coefficient 1, unilateral 0), tumor firmness (substantial, multilocular coefficient 1, single room 0), malignant group With critical malignancy) factor of 1 and benignity of 0. Age and tumor maximum diameter as continuously variable values. Calculating the values of all the coefficients at the same time, the probability of the malignant tumor can be calculated by the following formula. P = 1/1 + e ~ (-m). e ~ (-m) refers to the negative M power of the natural logarithm (2.718), and M is derived from the correlation coefficient by a linear formula.