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能谱曲线鉴别诊断良恶性浆膜腔积液 被引量:27

Value of HDCT curve for identifying benign and malignant serous cavity effusion
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摘要 目的探讨CT能谱成像能谱曲线分析鉴别良恶性浆膜腔积液性质的价值。方法回顾分析经病理证实并接受能谱CT扫描的浆膜腔积液患者66例,其中良性浆膜腔积液24例(63处),为肝硬化、心力衰竭/肾衰竭、炎症、结核所致;恶性浆膜腔积液42例(84处),为胃肠道恶性肿瘤、肺癌、乳腺癌肝脏转移瘤和卵巢恶性肿瘤所致。应用能谱分析软件,分别测量并计算浆膜腔积液能谱曲线斜率,按斜率范围将曲线分为Ⅰ~Ⅳ型,分别统计良性、恶性浆膜腔积液的曲线类型,并进行统计学比较。结果良性组Ⅰ~Ⅳ型曲线构成比分别为14.29%、14.29%、19.05%、52.38%,恶性组Ⅰ~Ⅳ型曲线构成比分别为73.81%、7.14%、11.90%、7.14%,二组差异有统计学意义(χ2=52.21,P<0.01)。Ⅰ型曲线以恶性为主,Ⅳ型曲线以良性为主,Ⅱ、Ⅲ型曲线鉴别良恶性积液有一定限度。结论能谱CT能鉴别浆膜腔积液的性质,具有较好的应用前景。 Objective To assess the value of spectral CT imaging in diagnosing serous cavity effusion on the basis of spec- tral curve features. Methods Totally 66 patients with pathologically confirmed serous cavity effusion underwent spectral CT imaging. Sixty-three cavities were found in 24 patients with benign lesions, including liver cirrhosis, heart failure and renal failure, inflammation and tuberculosis, while 84 malignant serous cavities were selected in 42 patients, including gas- trointestinal cancers, lung cancer, liver metastasis from breast cancer and ovarian malignancies. The slope of spectral curve was calculated with spectral analysis software. According to the slope, the spectral curves were divided into Ⅰ -Ⅳ types. The numbers of each type in benign group and malignant group were counted respectively, and the differences were ana- lyzed statistically. Results The rate of different spectral curve type Ⅰ-Ⅳ of benign serous cavity effusion was 14.29%, 14.29%, 19.05% and 52.38%, respectively, while of malignant effusion was 73.81%, 7.14%, 11.90% and 7.14%, re- spectively. There were statistical differences of the types of spectral curves between benign and malignant group (χ2=52.21, P〈0.01). Most of malignant effusion had type Ⅰ curve, while most benign effusion had type Ⅳ curve, but no difference of type Ⅱ nor Ⅲ curve was found between benign and malignant effusion. Conclusion Spectral CT imaging pro- vides promising potentials for direct diagnostic differentiation of benign and malignant serous cavity effusion.
出处 《中国医学影像技术》 CSCD 北大核心 2012年第12期2239-2242,共4页 Chinese Journal of Medical Imaging Technology
关键词 浆膜腔积液 良性和恶性 体层摄影术 X线计算机 Serous cavity effusion Benign and malignant Tomography, X-ray computed
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