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Prediction of Factors Associated with Abnormal Uterine Bleeding by Transvaginal Ultrasound Combined with Bleeding Pattern
- Source :
- Computational and Mathematical Methods in Medicine. 2022:1-8
- Publication Year :
- 2022
- Publisher :
- Hindawi Limited, 2022.
-
Abstract
- In order to explore the ability of vaginal ultrasound combined with bleeding pattern to predict factors related to abnormal uterine bleeding (AUB), a total of 205 patients with abnormal uterine bleeding were selected as experimental subjects. According to the corresponding diagnostic criteria, patients were divided into the endometrial polyp group (56 cases), endometrial hyperplasia and canceration group (84 cases), and normal cycle endometrial group (65 cases). The efficiency of the method was determined by comparing the prediction efficiency of the single/joint model. The results showed that there were statistically significant differences in the body mass index, dysmenorrhea, endometrial thickness, diabetes, hypertension, and polycystic ovary syndrome among the three groups, P < 0.05 . The sensitivity, specificity, positive predictive value, negative predictive value, and Youden index of endometrial polyp diagnosis were 86.89%, 88.12%, 83.54%, 90.11%, and 0.74, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and JordAn index in diagnosing endometrial hyperplasia and canceration were 96.71%, 98.40%, 96.54%, 98.24%, and 0.96, respectively. In summary, the body mass index, dysmenorrhea, endometrial thickness, diabetes, hypertension, and polycystic ovary syndrome were related factors, and the combination of vaginal ultrasound and bleeding pattern had a stronger predictive power for abnormal uterine bleeding.
- Subjects :
- Article Subject
General Immunology and Microbiology
Applied Mathematics
General Medicine
Sensitivity and Specificity
General Biochemistry, Genetics and Molecular Biology
Endometrium
Polyps
Dysmenorrhea
Modeling and Simulation
Endometrial Hyperplasia
Hypertension
Uterine Neoplasms
Humans
Female
Uterine Hemorrhage
Polycystic Ovary Syndrome
Ultrasonography
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2022
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....05beba49f751499bb660f60cc2d60abb