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, 何穎, 黃月, 等. 自動乳腺全容積掃查系統與常規超聲診斷乳腺腫瘤的價值比較. 實用醫院臨床雜志, 2019, 16(1): 90-92.
6.	徐皙婷, 韋舒靜, 魏均羽, 等. 自動乳腺全容積成像冠狀面圖像特征在乳腺病變鑒別診斷中的應用價值. 中國臨床新醫學, 2019, 12(2): 175-179.
7.	曾志強, 朱勁濤, 張韻源, 等. ABVS 與常規超聲檢查應用于乳腺良惡性腫塊鑒別診斷的對比分析. 中國醫藥科學, 2018, 8(20): 19-22, 39.
8.	杜晶晶. 自動容積成像與普通超聲結合 BI-RADS 分級診斷乳腺腫物的臨床價值. 北京: 北京中醫藥大學, 2018.
9.	嚴麗霞, 黃備建, 劉利民, 等. 常規超聲, 自動乳腺全容積掃描及乳腺專用伽瑪顯像對乳腺癌診斷價值的對比研究. 中華超聲影像學雜志, 2018, 27(4): 323-327.
10.	閻娜. 乳腺自動全容積成像(ABVS)及彈性成像(UE)在乳腺腫塊中的診斷價值. 青島: 青島大學, 2018.
11.	黃玉琴, 陳武, 嚴繼萍, 等. 自動乳腺全容積成像技術對比鉬靶診斷乳腺腫物的臨床應用價值. 中華臨床醫師雜志(電子版), 2017, 11(12): 1926-1929.
12.	韋瑤, 姜玉新, 張璟, 等. 自動乳腺全容積成像對乳腺病變的診斷價值分析. 中華健康管理學雜志, 2017, 11(6): 514-518.
13.	朱繪繪. 自動乳腺全容積掃描聯合聲觸診組織成像定量技術對早期乳腺癌診斷價值的研究. 蘇州: 蘇州大學, 2017.
14.	戴安. 分析乳腺疾病自動乳腺全容積成像系統(ABVS)冠狀面成像特征及其診斷價值. 石家莊: 河北醫科大學, 2016.
15.	何其佳. 乳腺超聲自動容積成像技術與普通超聲、鉬靶在乳腺腫物診斷中的對比研究. 北京: 北京中醫藥大學, 2016.
16.	況星海, 李建紅. 三維超聲在乳腺良惡性腫塊鑒別診斷中的應用效果. 臨床心身疾病雜志, 2016, 22(z1): 137-138.
17.	鐘嶸, 呂國榮, 沈浩霖, 等. 全自動乳腺容積掃描和常規超聲對乳腺BI-RADS分類價值的比較. 中國超聲醫學雜志, 2016, 32(2): 121-123.
18.	閔賢, 程澍潔, 劉海珍, 等. 常規超聲聯合自動乳腺全容積成像診斷乳腺良惡性病變. 中國婦幼健康研究, 2015, 26(6): 1280-1283.
19.	沈春云, 徐春燕, 張緒霞. ABVS 聯合 ARFI 技術對乳腺病灶鑒別診斷價值. 中國超聲醫學雜志, 2015, 31(12): 1071-1073.
20.	楊梁. 超聲自動乳腺全容積成像在乳腺腫瘤診治中的初步應用. 遵義: 遵義醫學院, 2014.
21.	程淑珍, 朱劍芳, 王廣珊. 自動乳腺全容積掃查與手持超聲診斷乳腺病灶價值的對比研究. 實用臨床醫學, 2014, 15(8): 78-81.
22.	李寧, 楊麗春, 李支堯. 自動乳腺全容積成像(ABVS)與常規超聲檢查(HHUS)對乳腺良惡性腫塊鑒別診斷價值的比較. 昆明醫科大學學報, 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.	朱麗. 自動乳腺容積成像系統在乳腺癌診斷中的應用. 溫州: 溫州醫科大學, 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.	陳淼. 三維超聲成像技術在乳腺癌中的診斷價值. 廣州: 廣州中醫藥大學, 2011.
28.	周世崇, 曾煒, 范亦武, 等. 三維超聲診斷乳腺腫瘤的一些特征及價值評估. 上海醫學影像, 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.	鄧萍, 羅孝勇, 陳茂山, 等. 自動乳腺全容積掃查系統對乳腺癌診斷價值的 Meta 分析. 臨床超聲醫學雜志, 2016, (3): 161-165, 169.
35.	陳茂山, 黃云輝, 鄧萍, 等. 三維超聲對乳腺癌診斷價值的 Meta 分析. 現代腫瘤醫學, 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.	王穎彥, 宣楊, 張熾敏, 等. ABVS 和 HHUS 鑒別診斷良惡性乳腺腫瘤的 Meta 分析. 南京醫科大學學報(自然科學版), 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.	杜鐵橋, 王永利, 張超, 等. 數字化乳腺 X 線攝影觀察年齡和乳腺密度與乳腺良惡性病變的關系. 放射學實踐, 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, 何穎, 黃月, 等. 自動乳腺全容積掃查系統與常規超聲診斷乳腺腫瘤的價值比較. 實用醫院臨床雜志, 2019, 16(1): 90-92.
6. 徐皙婷, 韋舒靜, 魏均羽, 等. 自動乳腺全容積成像冠狀面圖像特征在乳腺病變鑒別診斷中的應用價值. 中國臨床新醫學, 2019, 12(2): 175-179.
7. 曾志強, 朱勁濤, 張韻源, 等. ABVS 與常規超聲檢查應用于乳腺良惡性腫塊鑒別診斷的對比分析. 中國醫藥科學, 2018, 8(20): 19-22, 39.
8. 杜晶晶. 自動容積成像與普通超聲結合 BI-RADS 分級診斷乳腺腫物的臨床價值. 北京: 北京中醫藥大學, 2018.
9. 嚴麗霞, 黃備建, 劉利民, 等. 常規超聲, 自動乳腺全容積掃描及乳腺專用伽瑪顯像對乳腺癌診斷價值的對比研究. 中華超聲影像學雜志, 2018, 27(4): 323-327.
10. 閻娜. 乳腺自動全容積成像(ABVS)及彈性成像(UE)在乳腺腫塊中的診斷價值. 青島: 青島大學, 2018.
11. 黃玉琴, 陳武, 嚴繼萍, 等. 自動乳腺全容積成像技術對比鉬靶診斷乳腺腫物的臨床應用價值. 中華臨床醫師雜志(電子版), 2017, 11(12): 1926-1929.
12. 韋瑤, 姜玉新, 張璟, 等. 自動乳腺全容積成像對乳腺病變的診斷價值分析. 中華健康管理學雜志, 2017, 11(6): 514-518.
13. 朱繪繪. 自動乳腺全容積掃描聯合聲觸診組織成像定量技術對早期乳腺癌診斷價值的研究. 蘇州: 蘇州大學, 2017.
14. 戴安. 分析乳腺疾病自動乳腺全容積成像系統(ABVS)冠狀面成像特征及其診斷價值. 石家莊: 河北醫科大學, 2016.
15. 何其佳. 乳腺超聲自動容積成像技術與普通超聲、鉬靶在乳腺腫物診斷中的對比研究. 北京: 北京中醫藥大學, 2016.
16. 況星海, 李建紅. 三維超聲在乳腺良惡性腫塊鑒別診斷中的應用效果. 臨床心身疾病雜志, 2016, 22(z1): 137-138.
17. 鐘嶸, 呂國榮, 沈浩霖, 等. 全自動乳腺容積掃描和常規超聲對乳腺BI-RADS分類價值的比較. 中國超聲醫學雜志, 2016, 32(2): 121-123.
18. 閔賢, 程澍潔, 劉海珍, 等. 常規超聲聯合自動乳腺全容積成像診斷乳腺良惡性病變. 中國婦幼健康研究, 2015, 26(6): 1280-1283.
19. 沈春云, 徐春燕, 張緒霞. ABVS 聯合 ARFI 技術對乳腺病灶鑒別診斷價值. 中國超聲醫學雜志, 2015, 31(12): 1071-1073.
20. 楊梁. 超聲自動乳腺全容積成像在乳腺腫瘤診治中的初步應用. 遵義: 遵義醫學院, 2014.
21. 程淑珍, 朱劍芳, 王廣珊. 自動乳腺全容積掃查與手持超聲診斷乳腺病灶價值的對比研究. 實用臨床醫學, 2014, 15(8): 78-81.
22. 李寧, 楊麗春, 李支堯. 自動乳腺全容積成像(ABVS)與常規超聲檢查(HHUS)對乳腺良惡性腫塊鑒別診斷價值的比較. 昆明醫科大學學報, 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. 朱麗. 自動乳腺容積成像系統在乳腺癌診斷中的應用. 溫州: 溫州醫科大學, 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. 陳淼. 三維超聲成像技術在乳腺癌中的診斷價值. 廣州: 廣州中醫藥大學, 2011.
28. 周世崇, 曾煒, 范亦武, 等. 三維超聲診斷乳腺腫瘤的一些特征及價值評估. 上海醫學影像, 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. 鄧萍, 羅孝勇, 陳茂山, 等. 自動乳腺全容積掃查系統對乳腺癌診斷價值的 Meta 分析. 臨床超聲醫學雜志, 2016, (3): 161-165, 169.
35. 陳茂山, 黃云輝, 鄧萍, 等. 三維超聲對乳腺癌診斷價值的 Meta 分析. 現代腫瘤醫學, 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. 王穎彥, 宣楊, 張熾敏, 等. ABVS 和 HHUS 鑒別診斷良惡性乳腺腫瘤的 Meta 分析. 南京醫科大學學報(自然科學版), 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. 杜鐵橋, 王永利, 張超, 等. 數字化乳腺 X 線攝影觀察年齡和乳腺密度與乳腺良惡性病變的關系. 放射學實踐, 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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