超声BI-RADS联合CT对≤2 cm乳腺良恶性病变的鉴别价值

doi:10.7517/issn.1674-0475.200520

摘要/Abstract

摘要： 本文研究超声乳腺影像报告和数据系统（BI-RADS）联合计算机断层扫描（CT）对≤ 2 cm乳腺良恶性病变的鉴别价值。以≤ 2 cm乳腺病变患者184例为研究对象，所有患者均给予超声、CT检查，以病理学结果为对照，分析超声BI-RADS、CT及二者联合对≤ 2 cm乳腺良恶性病变的鉴别价值。病理学结果显示，乳腺癌有58例（31.52%）、乳腺良性病变有126例（68.48%）；超声检查对乳腺病变检出率低于CT检查，但差异无统计学意义（P>0.05）；超声BI-RADS联合CT鉴别≤ 2 cm乳腺良恶性病变的敏感度、特异度、准确度分别为96.55%、95.24%、95.65%，明显高于单独超声BI-RADS或CT（P<0.05）。本文证实超声BI-RADS、CT对≤ 2 cm乳腺良恶性病变具有良好的鉴别价值，且二者联合的的鉴别价值更高。

关键词: 超声, 乳腺影像报告和数据系统, 计算机断层扫描, ≤2 cm乳腺良恶性病变

Abstract: The differential value of ultrasound breast imaging reporting and data system (BI-RADS) combined with computed tomography (CT) in the diagnosis of ≤ 2 cm benign and malignant breast lesions was studied. 184 patients with ≤ 2 cm breast lesions were selected as the subjects, and all patients were given ultrasound and CT examination. The pathological results as control, the differential value of ultrasound BI-RADS, CT and their combination in the diagnosis of ≤ 2 cm benign and malignant breast lesions was analyzed. The results of the pathological examination showed that there were 58 cases (31.52%) of breast cancer and 126 cases of benign breast lesions (68.48%). The detection rate of ultrasound was lower than that of CT, but the difference was not statistically significant (P>0.05). The sensitivity, specificity and accuracy of the ultrasound BI-RADS combined with CT in the diagnosis of ≤ 2 cm benign and malignant breast lesions was 96.55%, 95.24%, 95.65%, it was significantly higher than the single of ultrasound BI-RADS or CT (P<0.05). This study confirms that ultrasound BI-RADS and CT have good differential value for ≤ 2 cm benign and malignant breast lesions, and the combination of them is more valuable.

Key words: ultrasound, breast imaging reporting and data system(BI-RADS), computed tomography, ≤ 2 cm benign and malignant breast lesions

牟欢, 胡剑, 唐茜, 陈彦利, 王久成. 超声BI-RADS联合CT对≤2 cm乳腺良恶性病变的鉴别价值[J]. 影像科学与光化学, 2021, 39(1): 148-152.

MOU Huan, HU Jian, TANG Qian, CHEN Yanli, WANG Jiucheng. The Differential Value of Ultrasound BI-RADS Combined with CT in the Diagnosis of ≤ 2 cm Benign and Malignant Breast Lesions[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2021, 39(1): 148-152.

参考文献

[1] 贺芳,肖际东,文欢,等.S-detect技术辅助超声鉴别诊断最大径≤ 2 cm乳腺良恶性肿块型病灶[J].中国医学影像技术,2018,34(8):1207-1210.
[2] Zanotel M, Bednarova I, Londero V, et al.Automated breast ultrasound:basic principles and emerging clinical applications[J].Radiologia Medical,2018,123(1):1-12.
[3] 李万婷,刘海燕,秦丽军,等.^∧99Tc^∧m-3PRGD2整合素受体显像鉴别乳腺良恶性病变的价值及与超声检查的对比研究[J].国际放射医学核医学杂志,2018,42(3):242-247.
[4] Yap M H, Pons G, Marti J, et al. Automated breast ultrasound lesions detection using convolutional neural networks[J].IEEE Journal of Biomedical and Health Informatics,2018,22(4):1218-1226.
[5] Grimm L J, Zhang J, Baker J A, et al. Relationships between MRI breast imaging-reporting and data system (BI-RADS) lexicon descriptors and breast cancer molecular subtypes:internal enhancement is associated with luminal B subtype[J].Breast Journal,2017,23(5):579-582.
[6] Huh J, Park B, Lee H, et al.Prognostic value of skeletal muscle depletion measured on computed tomography for overall survival in patients with non-metastatic breast Cancer[J].Journal of Breast Cancer, 2020,23(1):80-92.
[7] 郭勇,姜彦,张静,等.低剂量CT扫描结合模型迭代重建术前评估乳腺癌的图像质量研究[J].中国医学影像学杂志,2017,25(5):360-364.
[8] Gweon H M, Cho N, Kim S Y, et al. Management for BI-RADS category 3 lesions detected in preoperative breast MR imaging of breast cancer patients[J].European Radiology, 2017,27(8):3211-3216.
[9] 胡良勇,李曦,谢芳.超声弹性成像联合BI-RADS对微小(≤ 2 cm)乳腺良恶性病变的鉴别价值[J].影像科学与光化学,2019,37(6):604-610.
[10] Abdemanafi M, Tavakoli M B, Akhavan A, et al.Evaluation of the lung dose in three-dimensional conformal radiation therapy of left-sided breast cancer:a phantom study[J].Journal of Medical Signals and Sensors, 2020,10(1):48-52.
[11] 祝兰华,杨旭,邵国安,等.70例超声BI-RADS3级2cm以内乳腺结节的回顾性分析[J].中国现代医学杂志,2016,26(10):80-83.
[12] Ciurea A I, Boca I, Rogojan L, et al.Pectoralis muscle metastases from breast cancer in a young patient detected by automated breast ultrasound[J].Medical Ultrasonography, 2019,21(2):200-203.
[13] 王红燕,靳晓娜,姜玉新,等.超声与正电子发射型计算机断层成像技术在乳腺癌诊断及淋巴结评估中的应用[J].中华医学超声杂志(电子版),2017,14(10):743-748.
[14] Young C R, Harigopal M, Pucar D. Rapid progression of carcinoma en cuirasse breast dermal metastases on 18F-fludeoxyglucose positron emission tomography-computed tomography[J].World Journal of Nuclear Medicine, 2019,19(1):65-68.
[15] 黄玲.彩色多普勒超声与CT扫描在乳腺癌中的诊断价值分析[J].中国CT和MRI杂志,2019,(9):95-97.
[16] Zheng X, Huang Y, Liu Y, et al.Shear-wave elastography of the breast:added value of a quality map in diagnosis and prediction of the biological characteristics of breast cancer[J].Korean Journal of Radiology, 2020,21(2):172-180.
[17] 任虹,于丽,叶江.多层螺旋CT、超声及X射线扫描对乳腺癌诊断作用分析[J].实用医院临床杂志,2018,15(4):121-123.
[18] Suvannarerg V, Chitchumnong P, Apiwat W, et al.Diagnostic performance of qualitative and quantitative shear wave elastography in differentiating malignant from benign breast masses, and association with the histological prognostic factors[J].Quantitative Imaging in Medicine and Surgery,2019,9(3):386-398.
[19] 马继斌,曾理.超声联合CT诊断乳腺肿块性质的临床价值分析[J].中国CT和MRI杂志,2017,15(5):71-73.
[20] Baikejiang R, Zhang W, Li C.Diffuse optical tomography for breast cancer imaging guided by computed tomography:a feasibility study[J].Journal of X-ray Science and Technology, 2017,25(3):341-355.