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自动乳腺超声:病变检测与BI-RADS分类——一项初步研究。

Automated breast ultrasound: lesion detection and BI-RADS classification--a pilot study.

作者信息

Wenkel E, Heckmann M, Heinrich M, Schwab S A, Uder M, Schulz-Wendtland R, Bautz W A, Janka R

机构信息

Radiologisches Institut, Universitätsklinikum Erlangen.

出版信息

Rofo. 2008 Sep;180(9):804-8. doi: 10.1055/s-2008-1027563. Epub 2008 Aug 14.

Abstract

PURPOSE

Evaluation of an automated breast ultrasound system (ABUS) regarding the detection and classification of breast lesions according to BI-RADS.

MATERIALS AND METHODS

Women were selected for the study who had unclear findings in breast diagnosis performed elsewhere (palpation, sonography or mammography) and who were referred for further work-up. All patients received a hand-held ultrasonography (HHUS) with a 13 MHz transducer, clinical examination and mammography of both breasts. Additionally, the affected breast received the ABUS (SomoVuTM, U-Systems, Inc., San Jose, CA, USA; EC Representative: Siemens, Erlangen, Germany) which was performed with an 8 MHz transducer. Five radiologists independently evaluated the ABUS images regarding lesion detectability. All detected lesions were classified according to BI-RADS assessment. The examiners had no knowledge of the patients' clinical examination or of the result of the mammography or the HHUS. Results of the ABUS were compared to HHUS.

RESULTS

35 women were included in the study. 25 BI-RADS 4 or 5 lesions had further histological (n = 23) or cytological (n = 2) work-up which revealed 13 malignant and 12 benign findings. The size of all lesions ranged from 6 to 32 mm (median 14 mm). With the ABUS all examiners detected 29 to 30 lesions while HHUS revealed 30 lesions. One suspicious area in HHUS was not reported by any of the five examiners with the ABUS. Histology of this area revealed mastopathic disease. No benign lesion was classified as BI-RADS 5 with the ABUS or HHUS. All breast cancers were found with the ABUS by all examiners and correctly classified as BI-RADS 4 or 5. There was good agreement regarding BI-RADS classification of HHUS and ABUS for the five different examiners with Kappa values between 0.83 and 0.87.

CONCLUSION

These preliminary results show that the ABUS allows detection of solid and cystic lesions and their BI-RADS classification with a high reliability in a selected patient group.

摘要

目的

评估一种自动乳腺超声系统(ABUS)在根据乳腺影像报告和数据系统(BI-RADS)对乳腺病变进行检测和分类方面的性能。

材料与方法

选择在其他地方进行乳腺诊断(触诊、超声或乳腺X线摄影)时结果不明确且被转诊进行进一步检查的女性作为研究对象。所有患者均接受了使用13MHz探头的手持超声检查(HHUS)、临床检查以及双侧乳腺的乳腺X线摄影。此外,患侧乳腺接受了ABUS检查(SomoVuTM,U-Systems公司,美国加利福尼亚州圣何塞;欧洲共同体代表:西门子公司,德国埃尔朗根),使用8MHz探头进行检查。五名放射科医生独立评估ABUS图像的病变可检测性。所有检测到的病变均根据BI-RADS评估进行分类。检查人员对患者的临床检查结果、乳腺X线摄影结果或HHUS结果不知情。将ABUS的结果与HHUS的结果进行比较。

结果

35名女性纳入研究。25个BI-RADS 4或5类病变进行了进一步的组织学(n = 23)或细胞学(n = 2)检查,结果显示13个为恶性,12个为良性。所有病变大小范围为6至32mm(中位数14mm)。使用ABUS时,所有检查人员检测到29至30个病变;而HHUS检测到30个病变。HHUS中的一个可疑区域,五名使用ABUS的检查人员均未报告。该区域的组织学检查显示为乳腺病。ABUS或HHUS均未将任何良性病变分类为BI-RADS 5类。所有检查人员使用ABUS均发现了所有乳腺癌,并正确分类为BI-RADS 4或5类。对于五名不同的检查人员,HHUS和ABUS在BI-RADS分类方面具有良好的一致性,Kappa值在0.83至0.87之间。

结论

这些初步结果表明ABUS能够在选定的患者群体中高可靠性地检测实性和囊性病变并对其进行BI-RADS分类。

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