Correlation of CT-scan findings of lung lesions and pathologic diagnosis

Fereshteh Bagheri, S. Jafari, M. R. Sasani, M. Athari, Amin Dehdashtian
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Abstract

Background: we aimed to evaluate the features of lung nodules and masses in Ct scan that help to distinguish malignant lesions from benign ones. Method: The study was performed on 50 pulmonary lesions biopsied at the Shahid Faghih Hospital by an interventional radiologist. CT scan findings were evaluated by a radiologist and compared with pathologic outcomes. Data was entered into SPSS software and by Descriptive statistical methods of frequency and Roc curve analysis and Chi-squared test and T-test at the level of alpha 0.05 was analyzed. Results: The relationship between smoking and malignancy was determined in this study. There was no significance found in mean age and sex, lesion density and enhancement of benign and malignant nodules. Smooth border was mostly seen in benign lesions and lobulated and spiculated borders in malignant lesions. Popcorn calcification was in favor of benignity and calcification in periphery of lesion was in favor of malignancy. Cavity was mostly seen in benign lesions Conclusion: smoking and the spiculated or lobulated margins, calcification in the periphery of the lesion were associated with malignant lesions, and the smooth margin and popcorn calcification and cavity formation were mostly seen in benign lesions. Enhancement showed no significance.
肺部病变的ct表现与病理诊断的相关性
背景:我们的目的是评估Ct扫描中肺结节和肿块的特征,以帮助区分良性和恶性病变。方法:在Shahid Faghih医院由一位介入放射科医生对50例肺病变进行活检。CT扫描结果由放射科医生评估,并与病理结果进行比较。数据输入SPSS软件,采用频率、Roc曲线分析、χ 2检验、alpha 0.05水平上的t检验等描述性统计方法进行分析。结果:本研究确定了吸烟与恶性肿瘤的关系。在平均年龄、性别、病灶密度、良恶性结节增强等方面,差异无统计学意义。良性病变多见平滑边界,恶性病变多见分叶状和细刺状边界。爆米花状钙化有利于良性病变,周围钙化有利于恶性病变。结论:病变边缘呈烟状、针状或分叶状、钙化与恶性病变相关,良性病变多见边缘光滑、爆米花状钙化及空腔形成。增强无显著性。
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