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Related Experiment Video

Updated: Jul 2, 2026

Z-Scores for Assessing Ovarian Reserve in Young Patients Undergoing Fertility Preservation
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
PubMed
Summary
This summary is machine-generated.

This study developed a predictive model for diminished ovarian reserve (DOR) in women with Hashimoto

Keywords:
Diminished ovarian reserveHashimoto’s thyroiditisNomogram modelTransvaginal three-dimensional ultrasound

Related Experiment Videos

Last Updated: Jul 2, 2026

Z-Scores for Assessing Ovarian Reserve in Young Patients Undergoing Fertility Preservation
05:42

Z-Scores for Assessing Ovarian Reserve in Young Patients Undergoing Fertility Preservation

Published on: October 25, 2024

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.