Harmonization and standardization for selection of high-trueness estradiol assay kits in serum and evaluation of estradiol levels relative to follicle diameters on trigger days - Summary - MDSpire

Harmonization and standardization for selection of high-trueness estradiol assay kits in serum and evaluation of estradiol levels relative to follicle diameters on trigger days

  • By

  • Mengxi Guo

  • Zhengquan Wang

  • Xin Chang

  • Xinxin Ren

  • Manman Zhang

  • Yu Tao

  • Hong Pan

  • Ningling Wang

  • Ying Guo

  • Haixia Ding

  • Yu Xiao

  • Yiling Ke

  • Dandan Wu

  • Xiaojun Chen

  • Li Wang

  • Qing Zhang

  • Qinhua Zhang

  • Wen Li

  • July 13, 2026

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Objective:

To evaluate estradiol (E2) assay standardization, assess the trueness of harmonized E2 results across platforms, and investigate the relationship between estimated E2 levels and follicle diameters on hCG trigger days.

Approach:
  • Sample Analysis: Serum samples from 90 individuals were analyzed using assays from four manufacturers and LC-MS as the reference method.
  • Harmonization Algorithm: A Bland-Altman plot-based harmonization algorithm (BA-BHA) was applied to harmonize E2 results.
  • Trueness Assessment: Trueness was assessed by mean percent difference and 95% limits of agreement (LoA).
  • Correlation Analysis: Multiple linear regression was applied to establish the relationship between harmonized E2 levels and follicle diameters.
Key Findings:
  • Before harmonization, mean percent differences from LC-MS ranged from −2.3% to 17.4%.
  • LiCA-E2 demonstrated the best performance with a mean percent difference of 0.1% post-harmonization.
  • A positive correlation was found between estimated E2 levels and follicle diameters, with LiCA showing the strongest correlation (r = 0.8077).
Interpretation:

Harmonization effectively improves E2 assay comparability, with LiCA's superior performance providing a reliable tool for predicting follicle maturation.

Limitations:
  • The study was limited to a specific population undergoing ART, which may affect generalizability.
  • The sample size for correlation analysis was limited to 237 serum samples.
Conclusion:

Harmonization of E2 assays enhances comparability and supports clinical decision-making in ART.

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