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Evaluation of menopausal endometrial lesions via mathematical modeling clinical indicators and ultrasonographic parameters

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机构: [1]Department of Medical Ultrasound, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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关键词: Transvaginal ultrasonography (TVS) menopausal endometrial lesions (MEL) scoring model multivariate logistic regression

摘要:
BACKGROUND: The diagnosis of benign and malignant menopausal endometrial lesions (MEL) is often misled by complicated clinical indicators and ultrasonographic parameters in actual clinical applications. OBJECTIVE: To investigate the performance of clinical indicators and ultrasonographic parameters in the diagnosis of MEL. METHODS: A cohort of 156 enrolled menopausal patients with MEL was divided into benign group (128 cases) and malignant group (28 cases). Two clinical indicators of patient age (PA), abnormal vaginal bleeding (AVB) and three transvaginal ultrasonography (TVS) parameters of endometrial thickness (ET), endometrial uneven echo (EUE) and endometrial blood flow signal (EBFS) were measured for the mathematical modelling. The performance of combined indicators and individual indicators were firstly compared, and then the optimized combined indicators was compared with corresponding individual indicators, respectively. RESULTS: Our experiments verified that the mathematical modelling presented robust capabilities in the diagnosis of MEL with the sensitivity, specificity and AUC of 78.6%, 75.8% and 0.83 for combined indicators, and 75.0%, 81.3% and 0.85 for optimized combined indicators, respectively. The cut off thresholds of PA was 57.5 years, ET was 11.5 mm Furthermore, the AVB presented the most important risk factor among the optimized indicators of PA, ET and AVB (P < 0.05). CONCLUSIONS: The combined indicators presented better performance in differentiating benign and malignant MEL and the AVB demonstrated the most capability for clinical applications.

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出版当年[2021]版:
大类 | 4 区 工程技术
小类 | 4 区 卫生保健与服务 4 区 工程:生物医学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 工程:生物医学 4 区 卫生保健与服务
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出版当年[2020]版:
Q4 ENGINEERING, BIOMEDICAL Q4 HEALTH CARE SCIENCES & SERVICES
最新[2023]版:
Q3 HEALTH CARE SCIENCES & SERVICES Q4 ENGINEERING, BIOMEDICAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Department of Medical Ultrasound, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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通讯机构: [1]Department of Medical Ultrasound, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China [*1]Department of Medical Ultrasound, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Rd, 200336 Shanghai, China.
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