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New research · Ophthalmology
Orbit (Amsterdam, Netherlands) · 2d
Cohort studyOrbit (Amsterdam, Netherlands) · 2026

Analysis of clinical and imaging predictors of response to corticosteroid therapy in inflammatory dacryoadenitis.

Rhyme Timoumi, Augustin Lecler, Emma O'Shaughnessy … Thibaud Chazal
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OphthalmologyCohort study

Longer symptom duration before treatment is linked to worse response to corticosteroids.

Analysis of clinical and imaging predictors of response to corticosteroid therapy in inflammatory dacryoadenitis.

Rhyme Timoumi … Thibaud Chazal
Orbit (Amsterdam, Netherlands) · 2026
Purpose

To identify clinical and Magnetic Resonance Imaging (Magnetic Resonance Imaging) features predictive of response to corticosteroid therapy in patients with inflammatory dacryoadenitis.

Methods

Were classified as good responders (complete or partial response) or poor responders (no response or refractory disease) according to their clinical outcomes.

Results

shorter symptom duration before treatment predicts a better steroid response

AUC 0.84 (95% CI 0.73 to 0.94)
null 0
0.73
0.94
CI excludes the null - significant
More results

After adjusting for age and symptom duration, hyperintensity of the lacrimal gland on Diffusion-Weighted Imaging (Diffusion-Weighted Imaging) was associated with a poorer response to corticosteroids (aOR = 0.19 [0.03, 0.93]; p = 0.040).

More results

No differences were observed in diffusion restriction on apparent diffusion coefficient (apparent diffusion coefficient) maps or in apparent diffusion coefficient values.

“
Conclusion · 1 of 3

Younger age and a longer symptom duration are associated with poorer corticosteroid response in inflammatory dacryoadenitis.

Conclusion · 2 of 3

Although Diffusion-Weighted Imaging hyperintensity was linked to treatment failure, the absence of corresponding apparent diffusion coefficient abnormalities limits its reliability as a predictive marker.

Conclusion · 3 of 3

Overall, conventional Magnetic Resonance Imaging appears to have limited value in predicting therapeutic response.

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