分形维参数和异质性参数在乳腺良恶性肿瘤钼靶图像分析鉴别诊断中的应用  被引量:3

Application of Fractal Dimension and Degree of Heterogeneity in Mammography to Differential Diagnosis for Breast Tumors

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作  者:李婵婵[1] 李立[1] 别梦杰[2] 刘立志[1] 邵元智[2] 伍尧泮[1] 

机构地区:[1]中山大学肿瘤防治中心华南肿瘤学国家重点实验室,广东广州510060 [2]中山大学物理系,广东广州510275

出  处:《肿瘤学杂志》2010年第3期171-174,共4页Journal of Chinese Oncology

基  金:国家863计划资助项目(2006AA02A404);国家自然科学基金资助项目(30770629);广东省医学科研基金资助项目(A2005251)

摘  要:[目的]探讨分形维参数及异质性参数对鉴别乳腺良恶性病变的诊断价值。[方法]对经病理证实的20例乳腺浸润性导管癌及20例乳腺纤维腺瘤的数字钼靶图像进行分析,对肿瘤边界的分形维参数Df和肿瘤内部的异质性参数H进行定量评估。[结果]乳腺浸润性导管癌和纤维腺瘤的分形维参数Df值分别为1.204、1.135,有显著性差异(P<0.001);异质性参数H值分别为0.444、0.237,有显著性差异(P<0.001)。[结论]应用分形维参数及肿瘤内部异质性参数对鉴别乳腺良恶性肿瘤有一定的诊断价值。[Purpose] To investigate the fractal dimension and degree of heterogeneity in differential diagnosis for breast tumors.[Methods] The mammography imaginges of 20 cases with infiltrating ductal carcinoma and 20 cases with fibroadenoma pathologically proven were analyzed.Two parameters,the fractal dimension(Df) in border of tumor and the degree of heterogeneity H in inner tumor,were computed numerically.[Results] The fractal dimension value in breast infiltrating ductal carcinoma,and in fibroadenoma was 1.204 and 1.135 respectively with significant difference(P〈0.001),and heterogeneity value was 0.444 and 0.237 respectively(P〈0.001).[Conclusion] The analyses based on fractal dimension and degree of heterogeneity is valuable for differention between malignant and benign breast tumors.

关 键 词:乳腺肿瘤 乳腺钼靶图像 分形维参数 异质性参数 

分 类 号:R737.9[医药卫生—肿瘤]

 

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