| 章瑜,梅海炳,王颖.乳腺数字摄影中钙化灶对良恶性病变的诊断价值[J].中国医学影像技术,2015,31(4):567~570 |
| 乳腺数字摄影中钙化灶对良恶性病变的诊断价值 |
| Diagnostic value of breast calcification in dentifying benign and malignant lesions in digital mammography |
| 投稿时间：2014-07-27 修订日期：2015-02-01 |
| DOI：10.13929/j.1003-3289.2015.04.023 |
| 中文关键词: 乳腺疾病 钙化 乳房X线摄影术 |
| 英文关键词:Breast diseases Calcification Mammography |
| 基金项目: |
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| 中文摘要: |
| 目的 探讨数字钼靶X线检查钙化灶对良恶性乳腺病变的诊断价值。方法 回顾性分析206例患者的乳腺钼靶X线影像资料,参照乳腺影像报告和数据系统(BI-RADS)评估分类,分析良恶性病变钙化灶的形态、分布特点及其他阳性征象的差异。结果 钙化灶形态方面,斑点样、无定形或模糊、粗糙不均质、细小多形性、细线或细线分支状钙化的恶性率分别为10.96%(8/73)、39.66%(23/58)、69.23%(9/13)、78.79%(26/33)、96.56%(28/29)。钙化灶分布方面,弥漫/散在、区域性、簇状、段样钙化的恶性率分别为0、18.19%(4/22)、49.50%(50/101)、72.73%(40/55)。206例中,124例无其他阳性征象,82例伴有其他阳性征象。有无其他阳性征象患者钙化灶形态、分布方面良恶性差异均有统计学意义(P均<0.05)。结论 乳腺钙化的形态、分布特点有助于评估乳腺病变的恶性度,当伴随其他阳性征象时,恶性度明显提高。 |
| 英文摘要: |
| Objective To analyze the value of calcifications on digital mammography in breast diseases. Methods The mammography imaging data of 206 cases were analyzed retrospectively. In accordance with breast imaging-report and data system (BI-RADS), the morphologic and distribution characteristics of calcifications and other positive signs in diagnosing benign and malignant breast diseases were studied. Results In the aspect of morphology, the malignancy probability of punctuate, amorphous, coarse heterogeneous, fine pleomorphic and fine linear or branching calcification was 10.96% (8/73), 39.66% (23/58), 69.23% (9/13), 78.79% (26/33) and 96.56% (28/29), respectively. In the aspect of distribution, the malignancy probability of scattered, regional, clustered and segmental calcification was 0, 18.19% (4/22), 49.50% (50/101), 72.73% (40/55), respectively. Among 206 cases, 82 cases with other positive signs, and 124 cases without. In patients with or without other positive signs, significant differences was found between benign and malignant lesions with respect to morphology and distribution (both P<0.05). Conclusion The morphology and distribution of calcifications are useful in assessing the risk of malignancy in breast diseases, and the appearance of other positive signs may increase the risk. |
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