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Updated: Jul 2, 2026
05:42
Z-Scores for Assessing Ovarian Reserve in Young Patients Undergoing Fertility Preservation
Published on: October 25, 2024
Multi-dimensional predictive model for diminished ovarian reserve in Hashimoto's thyroiditis: development and
Jiemin Chen1,2, Huohu Zhong1, Yanyan Huang1
1Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
Reproductive Biology and Endocrinology : RB&E
|July 1, 2026
Summary
This study developed a predictive model for diminished ovarian reserve (DOR) in women with Hashimoto
Area of Science:
- Reproductive endocrinology and infertility
- Medical imaging and diagnostics
- Endocrinology and metabolism
Background:
- Hashimoto's thyroiditis (HT) is associated with reproductive health issues.
- Diminished ovarian reserve (DOR) affects fertility in reproductive-aged women.
- Early identification of DOR risk in HT patients is crucial for reproductive management.
Purpose of the Study:
- To develop a predictive model for DOR in reproductive-aged women with HT.
- To integrate transvaginal three-dimensional ultrasound and clinical data for DOR risk assessment.
- To provide a visualized decision-support tool for personalized reproductive health management.
Main Methods:
- Prospective cross-sectional study of 300 reproductive-aged women with HT.
- Transvaginal three-dimensional ultrasound for ovarian volume, blood flow, and antral follicle count (AFC).
- LASSO regression for nomogram construction, validated with ROC curves, calibration curves, and DCA.
Main Results:
- Four independent risk factors identified: pelvic inflammation history, ovarian vascularization index (VI), bilateral AFC, and positive thyroid globulin antibody (TGAb).
- Nomogram achieved high AUC (0.989 training, 0.985 validation) with excellent sensitivity and specificity.
- Strong concordance between predicted and actual DOR probabilities; DCA demonstrated significant net benefit.
Conclusions:
- The developed nomogram accurately predicts DOR risk in women with HT.
- Integration of ultrasound parameters and clinical indicators offers a practical, visualized tool.
- The model supports personalized risk evaluation and reproductive health management for HT patients.
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