# A new approach to assessing pterygium progression and volume using SII and anterior segment OCT

## TL;DR

This study explores how immune-inflammatory markers and OCT imaging can assess pterygium severity and progression in patients.

## Contribution

The study introduces SII and AS-OCT as novel tools for evaluating pterygium progression and volume.

## Key findings

- SII, NLR, and MLR values are significantly higher in pterygium patients compared to controls.
- SII is significantly correlated with pterygium area progression and volume.
- AS-OCT and anterior segment phase imaging effectively evaluate pterygium volume.

## Abstract

To compare the clinical manifestations and prognosis of 90 patients with pterygium. The occurrence and progression of pterygium are associated with the systemic immune-inflammatory index (SII) and clinical characteristics. The size of pterygium was assessed by anterior segment phase and anterior segment optical coherence tomography (AS-OCT).

According to the pterygium score, the patients were divided into group A, group B, and group C. The evaluation parameters included gender, age, onset time, signs and symptoms of underlying diseases, AS-OCT, Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Monocyte-to-Lymphocyte Ratio (MLR), and SII values. The postoperative pterygium tissue was weighed. The clinical characteristics of each group were analysed by a nonparametric test and a chi-square test. Ordered logistic regression analysis evaluated the parameters related to pterygium area and volume.

Compared with the control group, the SII, NLR, and MLR values of pterygium patients were significantly increased. The incidence of both eyes in group C was significantly higher than that in groups A and B. The incidence of both eyes and the SII value would affect the severity of pterygium. The SII value was significantly correlated with the area of pterygium progression and weighing volume. The combination of the anterior segment phase and AS-OCT can effectively evaluate the volume of pterygium.

SII can be used as a biomarker to predict the severity and prognosis of pterygium. Compared with traditional methods, imaging data can better evaluate the progression of pterygium by calculating the volume of pterygium.