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

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 corre...

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Main Authors: Pingping Wang, Hai Li, Yu Hu, Xiaojing Peng, Xinhua Ye, Di Xu, Ao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.687878/full
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author Pingping Wang
Hai Li
Yu Hu
Xiaojing Peng
Xinhua Ye
Di Xu
Ao Li
author_facet Pingping Wang
Hai Li
Yu Hu
Xiaojing Peng
Xinhua Ye
Di Xu
Ao Li
author_sort Pingping Wang
collection DOAJ
description 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.
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spelling doaj.art-1112372da9d3448d84aa72c3506578632022-12-21T18:51:01ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-06-011110.3389/fonc.2021.687878687878Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue SarcomaPingping Wang0Hai Li1Yu Hu2Xiaojing Peng3Xinhua Ye4Di Xu5Ao Li6Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaObjectivesTo 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.https://www.frontiersin.org/articles/10.3389/fonc.2021.687878/fullultrasonographyKi-67soft tissue sarcomamusculoskeletalimmunohistochemistry
spellingShingle Pingping Wang
Hai Li
Yu Hu
Xiaojing Peng
Xinhua Ye
Di Xu
Ao Li
Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
Frontiers in Oncology
ultrasonography
Ki-67
soft tissue sarcoma
musculoskeletal
immunohistochemistry
title Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
title_full Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
title_fullStr Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
title_full_unstemmed Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
title_short Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
title_sort relationship between ultrasound features and ki 67 labeling index of soft tissue sarcoma
topic ultrasonography
Ki-67
soft tissue sarcoma
musculoskeletal
immunohistochemistry
url https://www.frontiersin.org/articles/10.3389/fonc.2021.687878/full
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