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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月7日

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  • Lihong Yang,
  • Zhi Yin,
  • Hua Sun,
  • Hongxun Li,
  • Peng Wang,
  • Yuchuan Wang,
  • Lei Zhang,
  • Jiagen Li,
  • Yun Zhao,
  • Ye Pan,
  • Hong Zhao,
  • Zhenbiao Xu,
  • Jing Jing

摘要

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.