# CTA-based risk assessment of the carotid variant of Eagle syndrome: development and internal validation of a nomogram

**Authors:** Yudan Liu, Shengtao Sun, Min Sun, Zhiwei Wang, Jianguo Liu, Xiaokun Qi, Chenjing Sun

PMC · DOI: 10.3389/fneur.2025.1699139 · Frontiers in Neurology · 2025-10-30

## TL;DR

This study developed a nomogram using CTA to assess the risk of carotid variant Eagle syndrome, identifying styloid length and sex as key predictors.

## Contribution

A novel nomogram was developed and validated for early risk stratification of carotid variant Eagle syndrome using CTA-based structural determinants.

## Key findings

- Styloid length and sex were the main predictors of internal carotid artery contact, with sex-specific cut-offs for styloid length.
- The nomogram combining styloid length, sex, and age showed strong performance with an AUC of 0.779 and good calibration.
- Right-sided styloid length was more significant in men, while left-sided was more significant in women, indicating a sex-side interaction.

## Abstract

Eagle syndrome (ES) is uncommon; its carotid variant [ES–CA, sometimes termed vascular Eagle syndrome (VES)] can produce internal carotid artery (ICA) dissection or stenosis and ischemic stroke, yet is frequently underrecognized. This study leveraged large-sample computed tomography angiography (CTA) to quantify structural determinants of styloid–ICA contact and to develop and internally validate a nomogram for early risk stratification.

We retrospectively included 414 consecutive head–neck CTA examinations (January 2023–March 2025). Volume rendering (VR) and maximum intensity projection (MIP) were used to delineate styloid–vessel relationships and to measure styloid process length (SPL), anterior tilt angle (FTA), and medial inclination angle (IA). Univariable/multivariable logistic regression identified correlates of ICA contact; receiver operating characteristic (ROC) analyses compared alternative SPL metrics (ipsilateral, bilateral mean, bilateral maximum) to select the optimal predictor. A nomogram incorporating significant predictors underwent 1,000-bootstrap internal validation with assessment of discrimination, calibration, and decision-curve analysis (DCA).

ICA contact was present in 110/414 (26.6%). Men had longer styloids and larger FTAs than women (both p < 0.001), but smaller IAs (left: 19.00° vs. 21.00°, p < 0.001; right: 22.00° vs. 23.00°, p = 0.010). Female sex independently predicted ICA contact (OR = 3.838, p < 0.001), and SPL on both sides was an independent risk factor (left OR = 1.063; right OR = 1.085; both p < 0.05). Sex-stratified models revealed laterality: in men, right-sided SPL (OR = 1.101, p = 0.006) was decisive; in women, left-sided SPL (OR = 1.092, p = 0.050) was decisive. Among SPL metrics, the bilateral maximum (SPL-max) performed best for predicting contact (overall AUC = 0.731; men = 0.787; women = 0.733) with sex-specific cut-offs of 30.20 mm (men) and 26.75 mm (women). The nomogram combining SPL-max, sex, and age showed good performance (AUC = 0.779; calibration slope = 0.96) and yielded positive net benefit on DCA across 1–65% threshold probabilities.

Risk of ES–CA–related ICA contact was unrelated to age or angular parameters. Styloid length and sex were the principal structural risk factors, with right-sided predominance in men and left-sided predominance in women, suggesting sex–side interaction. SPL-max was the optimal predictor, with a 3.45-mm lower cut-off in women, and the internally validated nomogram demonstrated clinical utility for early, imaging-based screening.

## Linked entities

- **Diseases:** Eagle syndrome (MONDO:0023035), ischemic stroke (MONDO:1060198)

## Full-text entities

- **Diseases:** ischemic stroke (MESH:D002544), stenosis (MESH:D003251), ES (MESH:C538010), internal carotid artery (ICA) dissection (MESH:D020215)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12611689/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12611689/full.md

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Source: https://tomesphere.com/paper/PMC12611689