Diagnostic value of HHUS <i>versus</i> ABVS for benign and malignant breast lesions: a meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

LIU Jialin ¹ , CHEN Xin ¹ , LI Peng ¹ , DUAN Haonan ¹ , CHENG Xia ² , ZHOU Qiao ² , ZHANG Yueqiu ² , LIU Yu ² , JING Chunli ² , ZHOU Yang ³ , WU Jialing ³ , HOU Xiukun ³ , JI Yuchen ¹ , SUN Xianzhi ¹ ,  LI Xiaofeng ¹

1. School of Public Health, Dalian Medical University, Dalian, 116044, P.R.China;
2. Department of Ultrasound & Breast Surgery, Dalian Maternal and Child Health Hospital, Dalian, 116033, P.R.China;
3. Department of Ultrasound, The First Hospital Affiliated to Dalian Medical University, Dalian, 116011, P.R.China;

Corresponding author：

LI Xiaofeng, Email: lxf_chen@163.com

Keywords：

Breast lesion; HHUS; ABVS; Meta-analysis; Systematic review

DOI：

10.7507/1672-2531.201909054

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To systematically review the diagnostic value of automatic breast volume scanner (ABVS) and handheld ultrasound (HHUS) for benign and malignant breast lesions.Methods PubMed, EMbase, Web of Science, Biosis Preview, The Cochrane Library, WanFang Data, CNKI, VIP and SinoMed databases were electronically searched to collect studies on HHUS versus ABVS for benign and malignant breast lesions from inception to May 31^st, 2019. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, and then, meta-analysis was performed by using Meta-Disc software.Results A total of 24 studies were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio for HHUS were 0.83 (95%CI 0.82 to 0.85), 0.81 (95%CI 0.79 to 0.82), 19.71 (95%CI 14.93 to 26.01), 4.05 (95%CI 3.49 to 4.69), 0.22 (95%CI 0.18 to 0.26), and for ABVS were 0.90 (95%CI 0.89 to 0.92), 0.88 (95%CI 0.87 to 0.89), 76.86(95%CI 55.13 to 107.17), 7.40 (95%CI 6.07 to 9.04), 0.11 (95%CI 0.09 to 0.14), respectively. The areas under the summary receiver operating characteristic curves in the differentiation of benign and malignant breast lesions were 0.88 and 0.96 for ABVS and HHUS, respectively.Conclusion The current evidence shows that ABVS has higher value than HHUS in the diagnosis of benign and malignant breast tumor. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusion.

Citation： LIU Jialin, CHEN Xin, LI Peng, DUAN Haonan, CHENG Xia, ZHOU Qiao, ZHANG Yueqiu, LIU Yu, JING Chunli, ZHOU Yang, WU Jialing, HOU Xiukun, JI Yuchen, SUN Xianzhi, LI Xiaofeng. Diagnostic value of HHUS versus ABVS for benign and malignant breast lesions: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2020, 20(2): 152-159. doi: 10.7507/1672-2531.201909054 Copy

1.	Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012. CA Cancer J Clin, 2015, 65(2): 87-108.
2.	Fu J, Li Y, Li N, et al. Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses. Cancer Manag Res, 2018, 10: 3295-3303.
3.	Shen S, Zhou Y, Xu Y, et al. A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women. Br J Cancer, 2015, 112(6): 998-1004.
4.	Venazzi A, Swardfager W, Lam B, et al. Validity of the QUADAS-2 in assessing risk of bias in Alzheimer's Disease diagnostic accuracy studies. Front Psychiatry, 2018, 9: 221.
5.	潘旭, 何颖, 黄月, 等. 自动乳腺全容积扫查系统与常规超声诊断乳腺肿瘤的价值比较. 实用医院临床杂志, 2019, 16(1): 90-92.
6.	徐皙婷, 韦舒静, 魏均羽, 等. 自动乳腺全容积成像冠状面图像特征在乳腺病变鉴别诊断中的应用价值. 中国临床新医学, 2019, 12(2): 175-179.
7.	曾志强, 朱劲涛, 张韵源, 等. ABVS 与常规超声检查应用于乳腺良恶性肿块鉴别诊断的对比分析. 中国医药科学, 2018, 8(20): 19-22, 39.
8.	杜晶晶. 自动容积成像与普通超声结合 BI-RADS 分级诊断乳腺肿物的临床价值. 北京: 北京中医药大学, 2018.
9.	严丽霞, 黄备建, 刘利民, 等. 常规超声, 自动乳腺全容积扫描及乳腺专用伽玛显像对乳腺癌诊断价值的对比研究. 中华超声影像学杂志, 2018, 27(4): 323-327.
10.	阎娜. 乳腺自动全容积成像(ABVS)及弹性成像(UE)在乳腺肿块中的诊断价值. 青岛: 青岛大学, 2018.
11.	黄玉琴, 陈武, 严继萍, 等. 自动乳腺全容积成像技术对比钼靶诊断乳腺肿物的临床应用价值. 中华临床医师杂志(电子版), 2017, 11(12): 1926-1929.
12.	韦瑶, 姜玉新, 张璟, 等. 自动乳腺全容积成像对乳腺病变的诊断价值分析. 中华健康管理学杂志, 2017, 11(6): 514-518.
13.	朱绘绘. 自动乳腺全容积扫描联合声触诊组织成像定量技术对早期乳腺癌诊断价值的研究. 苏州: 苏州大学, 2017.
14.	戴安. 分析乳腺疾病自动乳腺全容积成像系统(ABVS)冠状面成像特征及其诊断价值. 石家庄: 河北医科大学, 2016.
15.	何其佳. 乳腺超声自动容积成像技术与普通超声、钼靶在乳腺肿物诊断中的对比研究. 北京: 北京中医药大学, 2016.
16.	况星海, 李建红. 三维超声在乳腺良恶性肿块鉴别诊断中的应用效果. 临床心身疾病杂志, 2016, 22(z1): 137-138.
17.	钟嵘, 吕国荣, 沈浩霖, 等. 全自动乳腺容积扫描和常规超声对乳腺BI-RADS分类价值的比较. 中国超声医学杂志, 2016, 32(2): 121-123.
18.	闵贤, 程澍洁, 刘海珍, 等. 常规超声联合自动乳腺全容积成像诊断乳腺良恶性病变. 中国妇幼健康研究, 2015, 26(6): 1280-1283.
19.	沈春云, 徐春燕, 张绪霞. ABVS 联合 ARFI 技术对乳腺病灶鉴别诊断价值. 中国超声医学杂志, 2015, 31(12): 1071-1073.
20.	杨梁. 超声自动乳腺全容积成像在乳腺肿瘤诊治中的初步应用. 遵义: 遵义医学院, 2014.
21.	程淑珍, 朱剑芳, 王广珊. 自动乳腺全容积扫查与手持超声诊断乳腺病灶价值的对比研究. 实用临床医学, 2014, 15(8): 78-81.
22.	李宁, 杨丽春, 李支尧. 自动乳腺全容积成像(ABVS)与常规超声检查(HHUS)对乳腺良恶性肿块鉴别诊断价值的比较. 昆明医科大学学报, 2014, 35(7): 106-109.
23.	Chen L, Chen Y, Diao XH, et al. Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses. Ultrasound Med Biol, 2013, 39(10): 1735-1742.
24.	朱丽. 自动乳腺容积成像系统在乳腺癌诊断中的应用. 温州: 温州医科大学, 2013.
25.	Wang HY, Jiang YX, Zhu QL, et al. Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations. Eur J Radiol, 2012, 81(11): 3190-3200.
26.	Wang ZL, Xu JH, Li JL, et al. Comparison of automated breast volume scanning to hand-held ultrasound and mammography. Radiol Med, 2012, 117(8): 1287-1293.
27.	陈淼. 三维超声成像技术在乳腺癌中的诊断价值. 广州: 广州中医药大学, 2011.
28.	周世崇, 曾炜, 范亦武, 等. 三维超声诊断乳腺肿瘤的一些特征及价值评估. 上海医学影像, 2010, 19(1): 28-29, 35.
29.	Anastasiadi Z, Lianos GD, Ignatiadou E, et al. Breast cancer in young women: an overview. Updates Surg, 2017, 69(3): 313-317.
30.	Zhang X, Lin X, Tan Y, et al. A multicenter hospital-based diagnosis study of automated breast ultrasound system in detecting breast cancer among Chinese women. Chin J Cancer Res, 2018, 30(2): 231-239.
31.	Guo R, Lu G, Qin B, et al. Ultrasound imaging technologies for breast cancer detection and management: a review. Ultrasound Med Biol, 2018, 44(1): 37-70.
32.	Shin HJ, Kim HH, Cha JH, et al. Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization. AJR Am J Roentgenol, 2011, 197(3): 747-754.
33.	Meng Z, Chen C, Zhu Y, et al. Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions. Eur Radiol, 2015, 25(12): 3638-3647.
34.	邓萍, 罗孝勇, 陈茂山, 等. 自动乳腺全容积扫查系统对乳腺癌诊断价值的 Meta 分析. 临床超声医学杂志, 2016, (3): 161-165, 169.
35.	陈茂山, 黄云辉, 邓萍, 等. 三维超声对乳腺癌诊断价值的 Meta 分析. 现代肿瘤医学, 2017, 25(10): 1619-1623.
36.	Wang L, Qi ZH. Automatic breast volume scanner versus handheld ultrasound in differentiation of benign and malignant breast lesions: a systematic review and meta-analysis. Ultrasound Med Biol, 2019, 45(8): 1874-1881.
37.	王颖彦, 宣杨, 张炽敏, 等. ABVS 和 HHUS 鉴别诊断良恶性乳腺肿瘤的 Meta 分析. 南京医科大学学报(自然科学版), 2015, 35(11): 1637-1642.
38.	Kotsianos-Hermle D, Hiltawsky KM, Wirth S, et al. Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound. Eur J Radiol, 2009, 71(1): 109-115.
39.	杜铁桥, 王永利, 张超, 等. 数字化乳腺 X 线摄影观察年龄和乳腺密度与乳腺良恶性病变的关系. 放射学实践, 2009, 24(7): 739-743.

1. Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012. CA Cancer J Clin, 2015, 65(2): 87-108.
2. Fu J, Li Y, Li N, et al. Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses. Cancer Manag Res, 2018, 10: 3295-3303.
3. Shen S, Zhou Y, Xu Y, et al. A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women. Br J Cancer, 2015, 112(6): 998-1004.
4. Venazzi A, Swardfager W, Lam B, et al. Validity of the QUADAS-2 in assessing risk of bias in Alzheimer's Disease diagnostic accuracy studies. Front Psychiatry, 2018, 9: 221.
5. 潘旭, 何颖, 黄月, 等. 自动乳腺全容积扫查系统与常规超声诊断乳腺肿瘤的价值比较. 实用医院临床杂志, 2019, 16(1): 90-92.
6. 徐皙婷, 韦舒静, 魏均羽, 等. 自动乳腺全容积成像冠状面图像特征在乳腺病变鉴别诊断中的应用价值. 中国临床新医学, 2019, 12(2): 175-179.
7. 曾志强, 朱劲涛, 张韵源, 等. ABVS 与常规超声检查应用于乳腺良恶性肿块鉴别诊断的对比分析. 中国医药科学, 2018, 8(20): 19-22, 39.
8. 杜晶晶. 自动容积成像与普通超声结合 BI-RADS 分级诊断乳腺肿物的临床价值. 北京: 北京中医药大学, 2018.
9. 严丽霞, 黄备建, 刘利民, 等. 常规超声, 自动乳腺全容积扫描及乳腺专用伽玛显像对乳腺癌诊断价值的对比研究. 中华超声影像学杂志, 2018, 27(4): 323-327.
10. 阎娜. 乳腺自动全容积成像(ABVS)及弹性成像(UE)在乳腺肿块中的诊断价值. 青岛: 青岛大学, 2018.
11. 黄玉琴, 陈武, 严继萍, 等. 自动乳腺全容积成像技术对比钼靶诊断乳腺肿物的临床应用价值. 中华临床医师杂志(电子版), 2017, 11(12): 1926-1929.
12. 韦瑶, 姜玉新, 张璟, 等. 自动乳腺全容积成像对乳腺病变的诊断价值分析. 中华健康管理学杂志, 2017, 11(6): 514-518.
13. 朱绘绘. 自动乳腺全容积扫描联合声触诊组织成像定量技术对早期乳腺癌诊断价值的研究. 苏州: 苏州大学, 2017.
14. 戴安. 分析乳腺疾病自动乳腺全容积成像系统(ABVS)冠状面成像特征及其诊断价值. 石家庄: 河北医科大学, 2016.
15. 何其佳. 乳腺超声自动容积成像技术与普通超声、钼靶在乳腺肿物诊断中的对比研究. 北京: 北京中医药大学, 2016.
16. 况星海, 李建红. 三维超声在乳腺良恶性肿块鉴别诊断中的应用效果. 临床心身疾病杂志, 2016, 22(z1): 137-138.
17. 钟嵘, 吕国荣, 沈浩霖, 等. 全自动乳腺容积扫描和常规超声对乳腺BI-RADS分类价值的比较. 中国超声医学杂志, 2016, 32(2): 121-123.
18. 闵贤, 程澍洁, 刘海珍, 等. 常规超声联合自动乳腺全容积成像诊断乳腺良恶性病变. 中国妇幼健康研究, 2015, 26(6): 1280-1283.
19. 沈春云, 徐春燕, 张绪霞. ABVS 联合 ARFI 技术对乳腺病灶鉴别诊断价值. 中国超声医学杂志, 2015, 31(12): 1071-1073.
20. 杨梁. 超声自动乳腺全容积成像在乳腺肿瘤诊治中的初步应用. 遵义: 遵义医学院, 2014.
21. 程淑珍, 朱剑芳, 王广珊. 自动乳腺全容积扫查与手持超声诊断乳腺病灶价值的对比研究. 实用临床医学, 2014, 15(8): 78-81.
22. 李宁, 杨丽春, 李支尧. 自动乳腺全容积成像(ABVS)与常规超声检查(HHUS)对乳腺良恶性肿块鉴别诊断价值的比较. 昆明医科大学学报, 2014, 35(7): 106-109.
23. Chen L, Chen Y, Diao XH, et al. Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses. Ultrasound Med Biol, 2013, 39(10): 1735-1742.
24. 朱丽. 自动乳腺容积成像系统在乳腺癌诊断中的应用. 温州: 温州医科大学, 2013.
25. Wang HY, Jiang YX, Zhu QL, et al. Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations. Eur J Radiol, 2012, 81(11): 3190-3200.
26. Wang ZL, Xu JH, Li JL, et al. Comparison of automated breast volume scanning to hand-held ultrasound and mammography. Radiol Med, 2012, 117(8): 1287-1293.
27. 陈淼. 三维超声成像技术在乳腺癌中的诊断价值. 广州: 广州中医药大学, 2011.
28. 周世崇, 曾炜, 范亦武, 等. 三维超声诊断乳腺肿瘤的一些特征及价值评估. 上海医学影像, 2010, 19(1): 28-29, 35.
29. Anastasiadi Z, Lianos GD, Ignatiadou E, et al. Breast cancer in young women: an overview. Updates Surg, 2017, 69(3): 313-317.
30. Zhang X, Lin X, Tan Y, et al. A multicenter hospital-based diagnosis study of automated breast ultrasound system in detecting breast cancer among Chinese women. Chin J Cancer Res, 2018, 30(2): 231-239.
31. Guo R, Lu G, Qin B, et al. Ultrasound imaging technologies for breast cancer detection and management: a review. Ultrasound Med Biol, 2018, 44(1): 37-70.
32. Shin HJ, Kim HH, Cha JH, et al. Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization. AJR Am J Roentgenol, 2011, 197(3): 747-754.
33. Meng Z, Chen C, Zhu Y, et al. Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions. Eur Radiol, 2015, 25(12): 3638-3647.
34. 邓萍, 罗孝勇, 陈茂山, 等. 自动乳腺全容积扫查系统对乳腺癌诊断价值的 Meta 分析. 临床超声医学杂志, 2016, (3): 161-165, 169.
35. 陈茂山, 黄云辉, 邓萍, 等. 三维超声对乳腺癌诊断价值的 Meta 分析. 现代肿瘤医学, 2017, 25(10): 1619-1623.
36. Wang L, Qi ZH. Automatic breast volume scanner versus handheld ultrasound in differentiation of benign and malignant breast lesions: a systematic review and meta-analysis. Ultrasound Med Biol, 2019, 45(8): 1874-1881.
37. 王颖彦, 宣杨, 张炽敏, 等. ABVS 和 HHUS 鉴别诊断良恶性乳腺肿瘤的 Meta 分析. 南京医科大学学报(自然科学版), 2015, 35(11): 1637-1642.
38. Kotsianos-Hermle D, Hiltawsky KM, Wirth S, et al. Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound. Eur J Radiol, 2009, 71(1): 109-115.
39. 杜铁桥, 王永利, 张超, 等. 数字化乳腺 X 线摄影观察年龄和乳腺密度与乳腺良恶性病变的关系. 放射学实践, 2009, 24(7): 739-743.

Chinese Journal of Evidence-Based Medicine

Diagnostic value of HHUS versus ABVS for benign and malignant breast lesions: a meta-analysis

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