Clinical value of computer-aided detection for breast calcified lesions

YANG Kaiyan; LIU Xiaojuan; SI Lifang; JIANG Tao

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Clinical value of computer-aided detection for breast calcified lesions

更新时间：2025-12-15

- Clinical value of computer-aided detection for breast calcified lesions
- Vol. 27, Issue 1, Pages: 32-36(2018)
- 作者机构：
- 作者简介：
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  CLC：
- Published Online：03 April 2018，
  
  Published：03 April 2018
- 稿件说明：
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杨开颜,刘小娟,司丽芳,等. 计算机辅助检测对乳腺钙化灶标记的临床意义[J]. 肿瘤影像学, 2018, 27(1): 32-36
DOI：

杨开颜,刘小娟,司丽芳,等. 计算机辅助检测对乳腺钙化灶标记的临床意义[J]. 肿瘤影像学, 2018, 27(1): 32-36 DOI：

摘要

目的：

评价计算机辅助检测（computer-aided detection，CAD）标记乳腺钙化灶的准确率和灵敏度及其与钙化灶特征的相关性。

方法：

使用美国GE公司全数字化乳腺X线摄影系统及CAD系统，对经病理证实的45例乳腺X线显示的单纯钙化性病灶进行评价，并探讨单纯钙化性病灶的钙化类型、分布和数量对CAD标记的准确率和灵敏度的影响。

结果：

CAD标记钙化灶的总体准确率为73.3%（33/45），灵敏度为94.1%（32/34），阳性预测值为76.2%（32/42）；CAD标记中间性钙化的准确率（42%，8/19）和灵敏度（88%，7/8）均低于典型恶性钙化灶（均为96%，25/26）。CAD标记的准确率与钙化灶类型和分布特征显著相关（

0.001），而与钙化灶数量不相关（

0.05）；CAD标记的灵敏度仅与钙化灶数量相关（

0.05）。

结论：

应用于全数字化乳腺X线摄影中的CAD系统标记单纯钙化性病灶的准确率及灵敏度均很高，且阳性预测值较高，可在临床工作及乳腺癌筛查中充分利用。

Abstract

Objective:

To evaluate the accuracy and sensitivity of computer-aided detection (CAD) for breast calcified lesions

and the correlation between the accuracy and sensitivity of CAD and the characteristics of calcified lesions.

Methods:

Full-field digital mammography and CAD system of GE Company were used to evaluate 45 mammographically calcified lesions proven by pathology. The impacts of calcification type

distribution and number of pure calcified lesions on the accuracy and sensitivity of CAD were evaluated.

Results:

The total accuracy of CAD for calcified lesions was 73.3% (33/45)

the sensitivity was 94.

1% (32/34)

and the positive predictive value was 76.2% (32/42). The accuracy (42%

8/19) and sensitivity (88%

7/8) of CAD for intermediate calcification were all lower than those for typical malignant calcification (both 96%

25/26). The accuracy of CAD was significantly correlated with classification and distribution characteristics of calcification (

0.001)

but not correlated with calcification number (

0.05). The sensitivity of CAD was only significant correlated with calcification number (

0.05).

Conclusion:

The accuracy and sensitivity of CAD for pure calcified lesions of breast in full-field digital mammography are high

and the same as the positive predictive value. It can be used sufficiently in clinic and breast cancer screening.

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