Evidence map›Paper›PMID 31102067›Full record

ArticleJournal of medical ultrasonics (2001)2019

The value of virtual touch tissue imaging quantification in the differential diagnosis between benign and malignant breast lesions.

Wen-Tao Kong, Wei-Jun Zhou, Yin Wang, Xiao-Min Zhuang, Min Wu

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Article in Journal of medical ultrasonics (2001), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

5 authors.

Wen-Tao KongDepartment of Ultrasound, Drumtower Hospital, Medical College of Nanjing University, Nanjing, 210003, China.ORCID http://orcid.org/0000-0002-4313-6958
Wei-Jun ZhouDepartment of Ultrasound, Drumtower Hospital, Medical College of Nanjing University, Nanjing, 210003, China.
Yin WangDepartment of Ultrasound, Drumtower Hospital, Medical College of Nanjing University, Nanjing, 210003, China.
Xiao-Min ZhuangDepartment of Thyroid and Breast Surgery, Drumtower Hospital, Medical College of Nanjing University, Nanjing, 210003, China.
Min WuDepartment of Ultrasound, Drumtower Hospital, Medical College of Nanjing University, Nanjing, 210003, China. wuminguyi@163.com.ORCID http://orcid.org/0000-0002-3865-3731

Funding

Nanjing Medical Science and technique Development Foundation QXR17011National Natural Science Foundation of China 81671701
6 · The paper itself

Abstract

purposeTo evaluate the value and diagnostic performance of virtual touch tissue imaging quantification (VTIQ) and to determine the optimum cut-off value for differential diagnosis between benign and malignant breast lesions.

methodsConventional ultrasonography (US) and VTIQ were performed in 454 patients with 466 breast lesions with a Siemens Acuson S3000 ultrasound machine. All lesions were assessed by an ultrasound Breast Imaging Reporting and Data System (BI-RADS) and confirmed by histopathology. The maximum, mean, and minimum shear wave velocity (SWV) values were quantitatively measured in m/s within the regions of interest (ROIs) and ranged from 0.5 to 10 m/s. The sensitivity, specificity, accuracy, and area under the receiver operating curve (AUC) of the VTIQ, BI-RADS, and combined data were compared.

resultsAmong the 466 breast lesions, 266 were benign and 200 were malignant. All of the SWV values of the malignant lesions were significantly greater than those of the benign ones (P < 0.05). The optimal cut-off values for SWVmax, SWVmin, SWVmean, and SWVmax/SWVmin obtained from ROC analysis were 5.37 m/s, 3.08 m/s, 4.04 m/s, and 1.83, respectively. Logistic regression analysis revealed that BI-RADS was an independent risk factor for the differential diagnosis of breast lesions, whereas SWV values were not independent risk factors.

conclusionsVTIQ is useful in the differential diagnosis between benign and malignant breast lesions. The combination of VTIQ and ultrasonic BI-RADS can improve the diagnostic performance.

Indexed as

AdolescentAdultAgedAged, 80 and overBreastBreast NeoplasmsDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedRisk FactorsROC CurveSensitivity and SpecificityUltrasonography, MammaryYoung AdultBreast imaging reporting and data systemDiagnostic performanceShear wave velocityVirtual touch tissue imaging quantification

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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.