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一项垂体腺瘤的多变量研究,得出两个逻辑回归方程作为这些肿瘤诊断的辅助支持。

A multivariant study of pituitary adenoma, obtainment of two logistic regression equations as an auxiliary support in the diagnosis of these tumors.

作者信息

Herruzo-Cabrera I, Herruzo-Cabrera R, Errazquin-Saez de Tejada L, Garcia-Fernandez J L, Vidarte-Zabala M, Mayer F, Zaragoza-Rubira J R

机构信息

Department of Radiotherapeutic Oncology, Virgen del Rocio Hospital Sevilla, Spain.

出版信息

Neoplasma. 1992;39(4):255-60.

PMID:1436239
Abstract

A multivariant analysis was carried out in 120 patients with pituitary adenoma (prolactinoma, HGH-secreting adenoma and nonfunctional adenoma) and an equation was obtained concerning the prolactinoma (whose independent variables were age, galactorrhea, impotence, stage, and pretreatment secretion of ACTH) and another one concerning the nonfunctional adenoma (with age evolution time, visual disturbance evolution and galactorrhea as independent variables). These equations are useful in the differential diagnosis. The internal validity of both equations was obtained by calculating the ROC curve and determining sensibility, specificity and predictive values at the "optimum point" of this curve.

摘要

对120例垂体腺瘤患者(催乳素瘤、生长激素分泌型腺瘤和无功能腺瘤)进行了多变量分析,得出了一个关于催乳素瘤的方程(其自变量为年龄、溢乳、阳痿、分期和促肾上腺皮质激素的预处理分泌量)以及另一个关于无功能腺瘤的方程(自变量为年龄演变时间、视力障碍演变情况和溢乳)。这些方程在鉴别诊断中很有用。通过计算ROC曲线并确定该曲线“最佳点”处的敏感性、特异性和预测值,得出了这两个方程的内部效度。

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