自动乳腺全容积成像对不同超声分型乳腺病灶良恶性的诊断价值
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摘要
目的探讨自动乳腺全容积成像(ABVS)对不同超声分型乳腺病灶良恶性的诊断价值。方法回顾性分析196例经病理证实的乳腺疾病患者。所有患者均接受ABVS检查,并按照乳腺的构成比例分为腺体型、腺纤维Ⅰ型、腺纤维Ⅱ型和脂肪型四型。以病理结果为金标准,绘制ROC曲线分析ABVS对四种分型乳腺病灶良恶性的诊断价值,并比较ABVS对四种分型内病灶的诊断性能是否具有差异性。结果 ABVS对四种超声分型乳腺病灶良恶性鉴别的ROC曲线下面积分别为0.950(腺体型)、0.983(腺纤维Ⅰ型)、0.907(腺纤维Ⅱ型)及0.941(脂肪型),将曲线下面积两两比较,ABVS对四种分型乳腺内病灶良恶性鉴别能力无统计学意义(P均>0.05)。结论 ABVS对不同超声分型乳腺病灶良恶性鉴别能力无差异且具有较高的诊断价值。
Objective To investigate the diagnostic value of automated breast volume scanner in benign and malignant breast lesions of different types of ultrasound.Methods Data from 196 breast lesions confirmed pathologically were analyzed.Every patient accepted examination by ABVS.According to the proportion of the breasts,they were divided into four types:glandular type,glandular fibro typeⅠ,glandular fibro typeⅡand fatty type.Based on pathological results,the ROC curve was drawn to analyze the diagnostic value of ABVS for four types of breast lesions,and the diagnostic performance of ABVS for lesions of four types was compared.Results Area under ROC curve of ABVS in differentiating benign and malignant lesions of four ultrasound types were 0.950(glandular type),0.983(glandular fibro typeⅠ),0.907(glandular fibro type Ⅱ)and 0.941(fatty type)respectively.Comparing the area under the curve,there was no significant difference between the diagnostic performance of ABVS for lesions of four types(P>0.05).Conclusions ABVS has a high diagnostic value in differentiating benign and malignant lesions of different breast types of ultrasound.
Objective To investigate the diagnostic value of automated breast volume scanner in benign and malignant breast lesions of different types of ultrasound.Methods Data from 196 breast lesions confirmed pathologically were analyzed.Every patient accepted examination by ABVS.According to the proportion of the breasts,they were divided into four types:glandular type,glandular fibro typeⅠ,glandular fibro typeⅡand fatty type.Based on pathological results,the ROC curve was drawn to analyze the diagnostic value of ABVS for four types of breast lesions,and the diagnostic performance of ABVS for lesions of four types was compared.Results Area under ROC curve of ABVS in differentiating benign and malignant lesions of four ultrasound types were 0.950(glandular type),0.983(glandular fibro typeⅠ),0.907(glandular fibro type Ⅱ)and 0.941(fatty type)respectively.Comparing the area under the curve,there was no significant difference between the diagnostic performance of ABVS for lesions of four types(P>0.05).Conclusions ABVS has a high diagnostic value in differentiating benign and malignant lesions of different breast types of ultrasound.
引文
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[9]朱罗茜,包凌云,朱庆庆,等.自动乳腺全容积成像技术及常规超声检查鉴别诊断乳腺影像报告和数据系统4类病灶良恶性的价值比较[J/OL].中华医学超声杂志:电子版,2016,13(12):931-935.
[10]XU C L,WEI S P,XIE Y D,et al.Combined use of the automated breast volume scanner and the US elastography for the differentiation of benign from malignant lesions of the breast[J].Bmc Cancer,2014,14.
[11]BAE M S,PARK S Y,SONG S E,et al.Heterogeneity of triple-negative breast cancer:mammographic,US,and MR imaging features according to androgen receptor expression[J].European Radiology,2015,25(2):419-427.
[12]徐光,吴蓉,马方,等.三维超声特征性表现:汇聚征与乳腺癌预后指标的关系[J/OL].中华临床医师杂志:电子版,2013(11):5116-5118.
[13]HUANG A Q,ZHU L X,TAN Y J,et al.Evaluation of automated breast volume scanner for breast conservation surgery in ductal carcinoma in situ[J].Oncology Letters,2016,12(4):2481-2484.
[14]金正吉.女性乳腺的超声分型与乳腺肿块良恶性相关性的研究[J],2013.
[2]于书奎,孙男男.乳腺X线不同分型对乳腺癌诊断的影响[J].中国实用医药,2014,9(2):40-41.
[3]张桂萍,姚兰辉,赵琴,等.三维容积成像在乳腺肿块诊断中的应用[J].医学研究生学报,2010(7):733-737.
[4]SCHMACHTENBERG C,FISCHER T,HAMM B,et al.Diagnostic Performance of Automated Breast Volume Scanning(ABVS)Compared to Handheld Ultrasonography With Breast MRI as the Gold Standard[J].Academic Radiology,2017,24(8):954-961.
[5]TOZAKI M,FUKUMA E.Category assessment based on 3D volume data acquired by automated breast ultrasonography[J].Japanese Journal of Radiology,2012,30(2):185-191.
[6]吴琳,张丹.女性乳腺超声分型的研究进展[J/OL].中华临床医师杂志:电子版,2015(15):2926-2929.
[7]VINNICOMBE,S J.Breast density:why all the fuss[J]?Clinical radiology,2017.
[8]何其佳,赵玉珍,阳练,等.乳腺超声自动容积成像技术与普通超声对乳腺肿物的诊断价值比较[J].中华超声影像学杂志,2016,(7):597-602.
[9]朱罗茜,包凌云,朱庆庆,等.自动乳腺全容积成像技术及常规超声检查鉴别诊断乳腺影像报告和数据系统4类病灶良恶性的价值比较[J/OL].中华医学超声杂志:电子版,2016,13(12):931-935.
[10]XU C L,WEI S P,XIE Y D,et al.Combined use of the automated breast volume scanner and the US elastography for the differentiation of benign from malignant lesions of the breast[J].Bmc Cancer,2014,14.
[11]BAE M S,PARK S Y,SONG S E,et al.Heterogeneity of triple-negative breast cancer:mammographic,US,and MR imaging features according to androgen receptor expression[J].European Radiology,2015,25(2):419-427.
[12]徐光,吴蓉,马方,等.三维超声特征性表现:汇聚征与乳腺癌预后指标的关系[J/OL].中华临床医师杂志:电子版,2013(11):5116-5118.
[13]HUANG A Q,ZHU L X,TAN Y J,et al.Evaluation of automated breast volume scanner for breast conservation surgery in ductal carcinoma in situ[J].Oncology Letters,2016,12(4):2481-2484.
[14]金正吉.女性乳腺的超声分型与乳腺肿块良恶性相关性的研究[J],2013.