Literature DB >> 25916389

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.

Zheying Meng1, Cui Chen1, Yitong Zhu2, Shuling Zhang1, Cong Wei1, Bin Hu1, Li Yu1, Bing Hu3, E Shen4.   

Abstract

OBJECTIVES: To investigate the inter-rater reliability and agreement of the automated breast volume scanner (ABVS) and the diagnostic accuracy for differentiating malignant and benign lesions. The overall aim was to find out if the ABVS is applicable to daily clinical practice.
METHODS: Qualifying studies were retrieved from Pubmed, EMBASE, Cochrane Library, Biosis Preview, CBM disc and by manual search and reference lists up to 30 September 2014. Pooled sensitivity and specificity of ABVS were calculated and summary receiver operating characteristic curves were drawn.
RESULTS: Thirteen studies were included in the meta-analysis of diagnostic accuracy and seven studies were included in the systematic review of inter-rater reliability/agreement of ABVS. For 'diagnostic accuracy', the pooled values of sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio were 92 % (95 % CI 89.9-93.8), 84.9 % (82.4-87.0), 6.172 (4.364-8.730), 0.101 (0.075-0.136), and 72.226 (39.637-131.61), respectively. For the studies of inter-rater reliability/agreement, the quality was heterogeneous and no evidenced result can be pooled.
CONCLUSIONS: Sensitivity and specificity of ABVS for differentiating malignant and benign breast lesions were high. More sound studies focusing on inter-rater reliability/agreement of ABVS, which deeply affect the clinical utilization and generalization of ABVS, are urgently needed. KEY POINTS: • ABVS has high sensitivity and specificity in differentiating malignant and benign breast lesions. • The quality of published inter-rater reliability studies is heterogeneous. • Empirical evidence concerning the inter-rater reliability/agreement for the ABVS is rare. • Comparison studies on ABVS and other medical imaging examinations are warranted.

Entities:  

Keywords:  Accuracy; Automated breast volume scanner (ABVS); Breast neoplasms; Imaging; Inter-rater agreement

Mesh:

Year:  2015        PMID: 25916389     DOI: 10.1007/s00330-015-3759-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  54 in total

1.  Breast imaging: screening and evaluation.

Authors:  Marcia M Schmidt; Kelly J Powers
Journal:  Clin Obstet Gynecol       Date:  2011-03       Impact factor: 2.190

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; David Moher; Drummond Rennie; Henrica C W de Vet; Jeroen G Lijmer
Journal:  Ann Intern Med       Date:  2003-01-07       Impact factor: 25.391

4.  The decline in breast cancer mortality in Europe: an update (to 2009).

Authors:  Cristina Bosetti; Paola Bertuccio; Fabio Levi; Liliane Chatenoud; Eva Negri; Carlo La Vecchia
Journal:  Breast       Date:  2011-09-08       Impact factor: 4.380

5.  ACP Journal Club. Annual mammography screening did not reduce long-term breast cancer mortality in women 40 to 59 years of age.

Authors:  Suzanne W Fletcher
Journal:  Ann Intern Med       Date:  2014-05-20       Impact factor: 25.391

6.  Rethinking breast cancer screening strategies in resource-limited settings.

Authors:  M Galukande; E Kiguli-Malwadde
Journal:  Afr Health Sci       Date:  2010-03       Impact factor: 0.927

Review 7.  The descriptive epidemiology of female breast cancer: an international comparison of screening, incidence, survival and mortality.

Authors:  Danny R Youlden; Susanna M Cramb; Nathan A M Dunn; Jennifer M Muller; Christopher M Pyke; Peter D Baade
Journal:  Cancer Epidemiol       Date:  2012-03-27       Impact factor: 2.984

8.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

Review 9.  The benefits and harms of breast cancer screening: an independent review.

Authors: 
Journal:  Lancet       Date:  2012-10-30       Impact factor: 79.321

10.  Breast carcinoma in young females below the age of 40 years: A histopathological perspective.

Authors:  Shitalmala Thangjam; Rajesh Singh Laishram; Kaushik Debnath
Journal:  South Asian J Cancer       Date:  2014-04
View more
  11 in total

Review 1.  Automated breast ultrasound: basic principles and emerging clinical applications.

Authors:  Martina Zanotel; Iliana Bednarova; Viviana Londero; Anna Linda; Michele Lorenzon; Rossano Girometti; Chiara Zuiani
Journal:  Radiol Med       Date:  2017-08-28       Impact factor: 3.469

2.  Comparison between automated breast volume scanner (ABVS) versus hand-held ultrasound as a second look procedure after magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Massimo Bazzocchi; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-01-24       Impact factor: 5.315

3.  Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Anna Linda; Michele Lorenzon; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-10-10       Impact factor: 5.315

Review 4.  Automatic breast ultrasound: state of the art and future perspectives.

Authors:  Luca Nicosia; Federica Ferrari; Anna Carla Bozzini; Antuono Latronico; Chiara Trentin; Lorenza Meneghetti; Filippo Pesapane; Maria Pizzamiglio; Nicola Balesetreri; Enrico Cassano
Journal:  Ecancermedicalscience       Date:  2020-06-23

5.  Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging.

Authors:  Andrew Evans; Rubina M Trimboli; Alexandra Athanasiou; Corinne Balleyguier; Pascal A Baltzer; Ulrich Bick; Julia Camps Herrero; Paola Clauser; Catherine Colin; Eleanor Cornford; Eva M Fallenberg; Michael H Fuchsjaeger; Fiona J Gilbert; Thomas H Helbich; Karen Kinkel; Sylvia H Heywang-Köbrunner; Christiane K Kuhl; Ritse M Mann; Laura Martincich; Pietro Panizza; Federica Pediconi; Ruud M Pijnappel; Katja Pinker; Sophia Zackrisson; Gabor Forrai; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-09

6.  Utility and Diagnostic Performance of Automated Breast Ultrasound System in Evaluating Pure Non-Mass Enhancement on Breast Magnetic Resonance Imaging.

Authors:  Bo Ra Kwon; Jung Min Chang; Soo Yeon Kim; Su Hyun Lee; Sung Ui Shin; Ann Yi; Nariya Cho; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-07-22       Impact factor: 3.500

7.  The value of automated breast volume scanner combined with virtual touch tissue quantification in the differential diagnosis of benign and malignant breast lesions: A comparative study with mammography.

Authors:  Junli Wang; Hongjie Fan; Yuting Zhu; Chunyun Shen; Banghong Qiang
Journal:  Medicine (Baltimore)       Date:  2021-04-23       Impact factor: 1.817

Review 8.  Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review.

Authors:  Shahad A Ibraheem; Rozi Mahmud; Suraini Mohamad Saini; Hasyma Abu Hassan; Aysar Sabah Keiteb; Ahmed M Dirie
Journal:  Diagnostics (Basel)       Date:  2022-02-19

9.  Identification of the lymph node metastasis-related automated breast volume scanning features for predicting axillary lymph node tumor burden of invasive breast cancer via a clinical prediction model.

Authors:  Feng Zhao; Changjing Cai; Menghan Liu; Jidong Xiao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-05       Impact factor: 6.055

10.  Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis.

Authors:  Xiaohui Zhang; Juan Chen; Yidong Zhou; Feng Mao; Yan Lin; Songjie Shen; Qiang Sun; Zhaolian Ouyang
Journal:  Gland Surg       Date:  2019-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.