The novel diagnostic value and characteristic imaging features of CT dacryocystography in primary lacrimal canaliculitis

L Lihong Yang Z Zhi Yin H Hua Sun H Hongxun Li P Peng Wang Y Yuchuan Wang L Lei Zhang J Jiagen Li Y Yun Zhao (Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Shanghai Key Laboratory of Functional Materials Chemistry, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering) Y Ye Pan H Hong Zhao Z Zhenbiao Xu J Jing Jing

Abstract

Abstract To analyze the imaging characteristics and evaluate the diagnostic value of computed tomographic dacryocystography (CT-DCG) in primary canaliculitis. This is a retrospective study from three medical centers. We enrolled 126 primary canaliculitis patients (126 eyes) and 108 non-canaliculitis subjects (134 eyes). All patients with canaliculitis underwent CT-DCG, dacryoendoscopy examination, microbiologic culture, histopathologic staining and canaliculotomy to confirm the definitive diagnosis. Non-canaliculitis cases were diagnosed via dacryoendoscopy and CT-DCG. Demographics, clinical features, and CT-DCG imaging features of primary canaliculitis were evaluated. The diagnostic performance, including sensitivity, specificity, and inter-observer agreement, was also assessed. In the canaliculitis group, the main imaging characteristics of CT-DCG included filling defects, dilation, raggedness, beading, and diverticula formation. Filling defects can serve as a distinctive diagnostic feature of canaliculitis. In our series, CT-DCG showed excellent diagnostic performance with a sensitivity of 94.4%, specificity of 98.5%, and high inter-observer agreement (Cohen’s kappa = 0.85). CT-DCG demonstrates distinct imaging features that enable accurate diagnosis of primary lacrimal canaliculitis. It overcomes limitations of traditional methods, provides comprehensive LDS visualization, and offers valuable preoperative information, establishing it as a superior diagnostic tool.

Article Details

Volume / Issue Vol. 15, Issue 1
Published November 07, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (13)

L

Lihong Yang

Z

Zhi Yin

H

Hua Sun

H

Hongxun Li

P

Peng Wang

Y

Yuchuan Wang

L

Lei Zhang

J

Jiagen Li

Y

Yun Zhao

Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Shanghai Key Laboratory of Functional Materials Chemistry, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering

Y

Ye Pan

H

Hong Zhao

Z

Zhenbiao Xu

J

Jing Jing