直方图像素分析法在乏脂肪肺错构瘤鉴别诊断中的应用

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Abstract Objective: To evaluate the ability of histogram analysis method in lipid-poor pulmonary hamartoma in differential diagnosis. Materials and Methods: We retrospectively analyzed 90 cases of solitary pulmonary nodules confirmed pathologically by operation and puncture, including 28 cases of pulmonary hamartoma, 36 cases of lung cancer and 26 cases of pulmonary tuberculoma. There was not obvious fat and calcification components on HRCT. We used histogram analysis method to analysis lesions and the receiver operator characteristic curve to choose the optimal cut-off value to differentiate lipid-poor pulmonary hamartoma with other solitary pulmonary nodule. Results: The average CT attenuation and the lowest CT attenuation of the pulmonary hamartoma group is lower than that in the group of lung cancer and tuberculoma group(P＜0.05), the percentage of negative pixels, each pixels interval was significantly higher than that of the other two groups(P＜0.05). ROC curve showed the percentage of negative pixels was 15.7% is the optimal cut-off value in differential diagnosis. Conclusion: Histogram analysis method can significantly improve the detection of lipid-poor pulmonary hamartoma without visible fat at HRCT.

Key words： Lung neoplasms Hamartoma Coin lesion, pulmonary Diagnosis, differential Tomography, spiral computed

Received: 04 January 2016

PACS:	Ｒ734.2
	Ｒ814.42

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	Articles by authors
	LIU Peng1
	WU Zhi-feng2
	E Lin-ning2
	WU Shan2

Cite this article:

LIU Peng1,WU Zhi-feng2,E Lin-ning2, et al. The application of histogram analysis method in lipid-poor pulmonary hamartoma in differential diagnosis[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(9): 625-628.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2016/V27/I9/625

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