Evidence map›Paper›PMID 34262871›Full record

ArticleFrontiers in oncology2021

Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma.

Pingping Wang, Hai Li, Yu Hu, Xiaojing Peng, Xinhua Ye, Di Xu, Ao Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
–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

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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

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

7 authors.

Pingping WangDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hai LiDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yu HuDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaojing PengDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xinhua YeDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Di XuDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ao LiDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the relationship between ultrasound (US) features and Ki-67 labeling index (LI) of soft tissue sarcoma (STS).

methodsForty-six patients with 47 STS lesions, between September 2014 and April 2020, were enrolled in the study. Point-biserial correlation analysis and Spearman's correlation analysis were utilized to examining the relationship between the US features and the Ki-67 LI of STS. The differences of US features between high and low Ki-67 proliferation groups were statistically analyzed by independent t test, Wilcoxon rank-sum test, and Fisher's exact test. The optimal cut-off points of US features revealing significant differences were estimated by the maximum Youden index.

resultsA moderate correlation between the vascular density grade and the Ki-67 LI (ρ = 0.409, P = 0.004) was found in this study. In addition, other ultrasound features were irrelevant to the Ki-67 LI. The cut-off for differentiating low- and high-proliferation groups was grade II according to the best Youden index. The area under receiver operating characteristic (ROC) curve was 0.74 (p = 0.011) with a sensitivity of 60.6% and specificity of 78.6%.

conclusionsOnly the vascular density grade of STS had a weak positive correlation with Ki-67 LI, and might be capable of predicting the proliferation of STS. Other ultrasonographic features of STS such as shape and tumor margin have no correlation with Ki-67 LI.

Indexed as

immunohistochemistryKi-67musculoskeletalsoft tissue sarcomaultrasonography

Identifiers

PMID34262871
PMCPMC8273548

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