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学科主题: 基础医学
题名:
Quantitative Morphometry by Image Analysis of Normal, Hyperplastic and Cancerous Ductal Breasts
作者: Gao, Jie1; McNutt, Michael A.1; Yi, Weining2; Chen, Jin3; Gu, Jiang1
关键词: artificial image construction ; automated image classification ; image analysis ; lung cancer
刊名: ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY
发表日期: 2009-10-01
卷: 31, 期:5, 页:255-261
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Cell Biology
研究领域[WOS]: Cell Biology
关键词[WOS]: KNOWLEDGE-GUIDED SEGMENTATION ; FINE-NEEDLE-ASPIRATION ; DIAGNOSIS ; CARCINOMA ; LESIONS ; SYSTEM ; TISSUE
英文摘要:

OBJECTIVE: To analyze a number of quantitative variables in ductal epithelial breast proliferations and test them against diagnoses established by standard histologic and cytologic criteria in order to determine which variables are useful in discriminating between histologic diagnoses.

STUDY DESIGN: A method was developed for the semiautomatic segmentation and quantitative analysis of breast ductal proliferations using image analysis. This permitted duct profiles and intraductal epithelial proliferations to be analyzed by computer, with calculation of a total of 17 variables-for example, nuclear/cytoplasmic ratio, nuclear circularity, average internuclear distance and lumen area. Four groups were analyzed employing a total of 80 cases with diagnoses established by standard histologic criteria, including normal breast duct (DN = 19 cases), ductal hyperplasia without atypia (DH = 21 cases), ductal carcinoma in situ (DCIS = 20 cases) and invasive ductal carcinoma (INV = 20 cases).

RESULTS: Of the 17 quantitative variables tested in this study, 15 showed statistically significant differences in values between DH and DCIS (p < 0.05), and 7 showed statistically significant differences between DN and DH (p < 0.05).

CONCLUSION: By quantitative morphometric analysis of selected variables, a significant statistical distinction can be made between diagnostic groups, paving the way for automatic computerized image recognition for differential diagnosis. (Anal Quant Cytol Histol 2009;31:255-261)

语种: 英语
WOS记录号: WOS:000207989500002
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/56880
Appears in Collections:基础医学院_病理学系_期刊论文

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作者单位: 1.Peking Univ, Hlth Sci Ctr, Sch Basic Med Sci, Dept Pathol, Beijing 100871, Peoples R China
2.Peking Univ Hlth Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China
3.Motic Co, Xiamen, Peoples R China

Recommended Citation:
Gao, Jie,McNutt, Michael A.,Yi, Weining,et al. Quantitative Morphometry by Image Analysis of Normal, Hyperplastic and Cancerous Ductal Breasts[J]. ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY,2009,31(5):255-261.
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