NDLI: Characteristics of retinal image associated with premature ovarian insufficiency: a case- control study

Content Provider	Springer Nature : BioMed Central
Author	Wu, Jiaman Tan, Liya Ning, Yan Yuan, Weiqu Lee, Zuowei Ma, Fei Wang, Erfeng Zhuo, Yuanyuan
Abstract	Purpose To establish an early clinical diagnosis model based on the retinal vascular features associated with POI, supplying a non-invasive way for accurately and early predicted the risk of POI. Methods A total of 78 women with spontaneous POI and 48 healthy women were recruited from the Affiliated Shenzhen Maternity & Child Healthcare Hospital in the study. Retinal characteristics were analyzed using an automated retinal image analysis system. Binary logistic regression was used to identify POI cases and develop predictive models. Results Compared to the normal group, the POI group had larger central retinal artery equivalent (CRAE) (P = 0.006), central retinal vein equivalent (CRVE) (P = 0.001), index of venules asymmetry (Vasym) (P = 0.000); larger bifurcation angles of arterioles (Aangle) (P = 0.001), bifurcation coefficient of venule (BCV) (P = 0.001) and more obvious arteriovenous nipping (Nipping) (P = 0.005), but lower arteriole-to-venule ratio (AVR) (P = 0.012). In the POI group, the odds ratio (OR) of Vasym was 6.72e-32 (95% C.I. 4.62e-49–9.79e-15, P = 0.000), the OR of BCV was 5.66e-20 (95% C.I. 1.93e-34–.0000, P = 5.66e-20) and the OR of Nipping was 6.65e-06 (95% C.I. 6.33e-10–.0698, P = 0.012). Moreover, the area under the ROC curve for the binary logistic regression with retinal characteristics was 0.8582, and the fitting degree of regression models was 60.48% (Prob > chi-square = 0.6048). Conclusion This study demonstrated that retinal image analysis can provide useful information for POI identification and certain characteristics may help with early clinical diagnosis of POI.
Related Links	https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-023-01231-0.pdf
Ending Page	9
Page Count	9
Starting Page	1
File Format	HTM / HTML
ISSN	17572215
DOI	10.1186/s13048-023-01231-0
Journal	Journal of Ovarian Research
Issue Number	1
Volume Number	16
Language	English
Publisher	BioMed Central
Publisher Date	2023-07-24
Access Restriction	Open
Subject Keyword	Gynecology Reproductive Medicine Retinal characteristics Premature ovarian insufficiency Retinal image analysis Biostatistics method Early clinical diagnosis
Content Type	Text
Resource Type	Article
Subject	Oncology Obstetrics and Gynecology
Journal Impact Factor	3.8/2023
5-Year Journal Impact Factor	4.2/2023

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