Evidence map›Paper›PMID 26550234›Full record

ArticleInternational journal of clinical and experimental medicine2015

Diagnostic value of virtual touch tissue imaging quantification for benign and malignant breast lesions with different sizes.

Hui Liu, Li-Xia Zhao, Guang Xu, Ming-Hua Yao, Ai-Hong Zhang, Hui-Xiong Xu, Rong Wu

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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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

7 authors.

Hui LiuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.
Li-Xia ZhaoDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.
Guang XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.
Ming-Hua YaoDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.
Ai-Hong ZhangDepartment of Health Statistics, Tongji University School of Medicine Shanghai 200072, China.
Hui-Xiong XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.
Rong WuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine Shanghai 200072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study was to explore diagnostic value of the virtual touch tissue imaging quantification (VTIQ) in distinguishing benign and malignant breast lesions of variable sizes. We performed conventional ultrasound and VTIQ in 139 breast lesions. The lesions were categorized into three groups according to size (group 1, ≤ 10 mm; group 2, 10-20 mm; and group 3, > 20 mm), and their mean, min, and max shear wave velocities (SWVs) were measured. Diagnoses were confirmed by pathological examination after surgery or needle biopsy. Receiver-operating characteristic curves (ROC) were constructed to determine the optimum cut-off values, calculate the area under curve (AUC), the sensitivity, specificity and accuracy for each velocity. For all groups, the mean, min, and max SWVs of malignant lesions were significantly higher than those of benign lesions (P < 0.05). The cut-off values of mean, min, and max SWVs were not significantly different among the three groups. In addition, the diagnostic performance of mean, min, and max SWV values is analogous, regardless of lesion size. In conclusion, VTIQ is a strong complement to conventional ultrasound, which is a promising method in the differential diagnosis of the breast lesions with different sizes. Further studies validate our results as well as reduce the number of unnecessary biopsies, regardless of size is warranted.

Indexed as

breast lesionsDiagnostic valuedifferent sizesvirtual touch tissue imaging quantification (VTIQ)

Identifiers

PMID26550234
PMCPMC4612919

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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.