| 谭荣,张英,唐奇,袁圆.超声“萤火虫”成像鉴别诊断乳腺占位病变[J].中国医学影像技术,2019,35(9):1336~1340 |
| 超声“萤火虫”成像鉴别诊断乳腺占位病变 |
| Ultrasound micropure imaging in differential diagnosis of breast lesions |
| 投稿时间：2019-01-10 修订日期：2019-07-08 |
| DOI：10.13929/j.1003-3289.201901067 |
| 中文关键词: 乳腺肿瘤 超声检查,乳房 钙化 “萤火虫”成像 |
| 英文关键词:breast neoplasms ultrasonography, mammary calcification micropure imaging |
| 基金项目:长沙市第一医院院级课题（Y2017-07）。 |
|
| 摘要点击次数: 2155 |
| 全文下载次数: 575 |
| 中文摘要: |
| 目的 探讨超声"萤火虫"成像（MI）对鉴别诊断乳腺良恶性病变的临床应用价值。方法 对134例乳腺占位病变患者行MI和常规乳腺X线摄影（MMG）检查，观察微钙化分布及形态，通过活检或术后病理检查明确诊断。采用ROC曲线评价MI、MMG对乳腺恶性病变的诊断效能。结果 病理诊断乳腺良性病变85例、恶性49例，MI正确诊断良性82例、恶性44例，MMG正确诊断良性69例、恶性34例。簇状和线性分布的微钙化更倾向于恶性病变。ROC曲线结果显示，以MMG所示每平方厘米病灶内存在5个钙化点为截断值，诊断恶性病变的AUC为0.64（P=0.01），敏感度69.39%（34/49），特异度81.18%（69/85），准确率76.87%（103/134）；以MI所示每平方厘米病灶内存在3个强回声点为截断值，诊断乳腺恶性病变的AUC为0.76（P<0.01），敏感度89.80%（44/49），特异度96.47%（82/85），准确率94.03%（126/134）。结论 MI所示微钙化数量及分布有助于鉴别诊断乳腺良恶性病变，且诊断效能高于MMG。 |
| 英文摘要: |
| Objective To explore the value of ultrasound micropure imaging (MI) in differential diagnosis of benign and malignant breast lesions. Methods Totally 134 patients with breast lesions who underwent MI and mamography (MMG) were recruited. The distribution and morphology of microcalcifications in breast lesions were observed. Final diagnoses were obtained through pathological examination. ROC curve was used to evaluate the diagnostic efficacy of MI and MMG for malignant breast lesions. Results Among 134 patients, there were 85 cases of benign and 49 cases of malignant breast lesions. MI correctly diagnosed 82 benign lesions and 44 malignant lesions, while MMG correctly diagnosed 69 benign lesions and 34 malignant lesions. Clustered and linearly distribution of microcalcifications were prone to malignant lesions. ROC curve showed that taken 5 calcification points per square centimeter displayed by MMG as cut-off point, the AUC of malignant lesions was 0.64 (P=0.01),with sensitivity 69.39% (34/49), specificity 81.18% (69/85) and accuracy 76.87% (103/134). Taken 3 bright echogenic foci per square centimeter as cut-off points indicated by MI, the AUC for diagnosing breast malignant lesions was 0.76 (P<0.01), the sensitivity, specificity and accuracy was 89.80% (44/49), 96.47% (82/85) and 94.03% (126/134), respectively. Conclusion The number and distribution of microcalcifications indicated by MI are helpful to differential diagnosis of benign and malignant breast lesions. The diagnostic efficiency of MI is higher than that of MMG. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
