The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients
The combined ultrasound radiomics-urine proteomics model was better able to predict natural pregnancy-associated patients with EM compared to the classical EFI score. This can help clinicians better predict an individual patient's risk of natural pregnancy following a first-ever laparoscopic surgery and facilitate earlier diagnosis and treatment.
Authors
- Qiumin He
- Shuirong Zhang (ORCID: https://orcid.org/0000-0002-8827-8909)
- Yao Hu (ORCID: https://orcid.org/0000-0002-6739-6340)
- Chongyuan Zhang
- Jinfang Deng
Institutions
- Jingzhou Maternal and Child Health Hospital (CN)
- Jingzhou Central Hospital (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/ijgm.s512359
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00