Evidence map›Paper›PMID 34527571›Full record

ArticleFrontiers in oncology2021

Combination IETA Ultrasonographic Characteristics Simple Scoring Method With Tumor Biomarkers Effectively Improves the Differentiation Ability of Benign and Malignant Lesions in Endometrium and Uterine Cavity.

Dongmei Lin, Liang Zhao, Yunxiao Zhu, Yujun Huang, Kun Yuan, Wenfen Liu, Shengli Li, Xia Guo, Yi Hao

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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 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dongmei LinDepartment of Medical Ultrasonics, South China Hospital of Shenzhen University, Shenzhen, China.
Liang ZhaoDepartment of Medical Ultrasonics, South China Hospital of Shenzhen University, Shenzhen, China.
Yunxiao ZhuDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Yujun HuangDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Kun YuanDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Wenfen LiuDepartment of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Shengli LiDepartment of Medical Ultrasonics, South China Hospital of Shenzhen University, Shenzhen, China.
Xia GuoThe Third Affliated Hospital, Southern Medical University, Guangzhou, China.
Yi HaoDepartment of Medical Ultrasonics, South China Hospital of Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate International Endometrial Tumor Analysis (IETA) ultrasonographic characteristics simple scoring method and tumor biomarkers for the diagnosis of uterine cavity and endometrial lesions.

methodsWe classified and scored the normalized description of IETA ultrasonic characteristics, according to IETA expert consensus literature, previous IETA-related research articles, and the previous research experience of this project group. We conducted a retrospective analysis of the ultrasound images of 594 patients enrolled from January 2017 to June 2020, scored them item by item, and finally calculated the total score of each case. Meanwhile, we combined the results of seven tumor biomarkers. The objective was to evaluate the sensitivity, specificity, coincidence rate, and the area under receiver operating characteristic (ROC) curve of IETA ultrasonographic characteristics simple scoring method and tumor biomarkers for benign and malignant uterine cavity or endometrial lesions. The diagnostic efficiency between the combined method and the single method was compared.

resultsA total of 594 cases were confirmed by postoperative pathology or surgery records, including 475 benign lesions and 119 malignant lesions. In the simple ultrasound scoring method, the average score of benign lesions was 3.879 ± 1.279 and that of malignant lesions was 9.676 ± 4.491. If ≥6.5 points was taken as the cutoff value for the judgment of malignant lesions, the sensitivity, specificity, coincidence rate, and the area under receiver operating characteristic (ROC) curve (AUC) were 76.5%, 96.0%, 92.1%, and 0.935, respectively. The difference in tumor antigen 19-9 (CA19-9) and human epididymal protein 4 (HE4) between benign and malignant lesions was statistically significant (all

conclusionsIn IETA ultrasound characteristics simple scoring method, with ≥6.5 points as the cutoff value, it could quickly and accurately assess the benign and malignant in uterine cavity and endometrial lesions, with high diagnostic value. The diagnostic efficacy of seven tumor biomarkers was all mediocre. Combining with these two methods, the comprehensive diagnosis could improve sensitivity and accuracy and reduce the risk of missed diagnosis.

Indexed as

endometrial cancer/carcinomaendometrium lesionInternational Endometrial Tumor Analysissimple scoringtumor biomarkersuterine cavity lesions

Identifiers

PMID34527571
PMCPMC8435803

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