Head and Neck Imaging

Morphological Signs of Pulmonary Benign Tumor with Logistic Regression Analysis

Author:黄 越

affiliation:辽宁省调兵山市铁法煤业集团总医院放射科(辽宁 调兵山 112700)

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Abstract

Objective To analyse morphological signs of pulmonary benign tumor with logistic regression. Methods 52 patients with pulmonary benign tumor and 30 cases malignant tumor are collected, Single factor X2-test and related factors logistic regression of morphological signs are carried out, Morphological signs include edge character, calcification, pleural secondary change, tumor location, lobulation, tumor shape and cystic degeneration. Results Through the single factor X2-test, morphological signs of the edge character, calcification, pleural secondary change, tumor location, lobulation, tumor shape and cystic degeneration in pulmonary benign tumor,the X2 is respectively 26.801, 7.329, 0.008, 0.444, 11.134, 11.134 and 0.596, only the edge character, calcification, lobulation and tumor shape with P<0.05, existing statistically significant.after logistic regression analysis for the related factors, to get Wald statistic value maximum and concomitant probability to a minimum of the edge character, it is respectively 9.779 and 0.002. Conclusion Morphological signs of edge character, calcification, lobulation and tumor shape in pulmonary benign tumor could influence antidiastole, and the most valuable sign is edge character.

【Keyword】Pulmonary Tumor; Benign; Morphology; Logistic Regression

【Chart number】R734.2

【Document Identification Number】A

【DOI】10.3969/j.issn.1672-5131.2015.03.13

Chinese journal of CT and MRI

th13Volume, th 3 Issue

2015Year03Month