Evidence map›Paper›PMID 25916389›Full record

SynthesisEuropean radiology2015

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 Meng, Cui Chen, Yitong Zhu, Shuling Zhang, Cong Wei, Bin Hu, Li Yu, Bing Hu, E Shen

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Comparison of Automated Breast Ultrasound and Hand-Held Breast Ultrasound in the Screening of Dense Breasts.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zheying MengDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Cui ChenDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Yitong ZhuDepartment of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600 Yishan Road, Shanghai, 200233, China.
Shuling ZhangDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Cong WeiDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Bin HuDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Li YuDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Bing HuDepartment of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, No. 600 Yishan Road, Shanghai, 200233, China. shslycsyxk@163.com.
E ShenDepartment of Ultrasound in Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Shanghai, 200336, China. sjlyxzcs@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

methodsQualifying 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.

resultsThirteen 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.

conclusionsSensitivity 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.

Indexed as

Breast DiseasesDiagnosis, DifferentialDiagnostic ImagingFemaleHumansImage Interpretation, Computer-AssistedOrgan SizeReproducibility of ResultsROC CurveAccuracyAutomated breast volume scanner (ABVS)Breast neoplasmsImagingInter-rater agreement

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.