Predicting the prognosis of primary orbital lymphoma by clinical characteristics and imaging features
Author:
Corresponding Author:

Ning-Li Wang. Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing 100730, China. wangnl@vip.163.com

Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    AIM: To analyze the 5-year disease-free survival (DFS) of primary orbital lymphoma (POL) by clinical characteristics and imaging features. METHODS: A total of 72 patients, 43 males and 29 females, with histologically confirmed POL, were retrospectively recruited between January 2012 and May 2017. The information on clinical characteristics, imaging features, and 5-year DFS was obtained. Univariate and multivariate forward logistic regression analyses were used to identify the variables significantly associated with 5-year DFS. Kaplan-Meier was applied for survival analysis. RESULTS: Univariate analysis revealed that uni- or bilateral orbital involvement, single or multiple lesions, treatment methods, and contrast enhancement pattern on images were significant for 5-year DFS (P=0.022, 0.042, <0.001, and 0.028, respectively), while in multivariate logistic regression analysis, only uni- or bilateral orbital involvement, treatment methods and contrast enhancement pattern on images were significant (r=0.453, 0.897, and 0.556, P=0.038, <0.001 and 0.022, respectively). The survival curves for DFS were obtained. CONCLUSION: The majority of POL are B-cell lymphomas. Unilateral orbital involvement, homogeneous contrast enhancement on images, and the appropriate treatment schemes result to be significant factors for a good prognosis for POL.

    Reference
    Related
    Cited by
Get Citation

Jian-Bo Zhu, Bin Li, Hong-Mei Zhang, et al. Predicting the prognosis of primary orbital lymphoma by clinical characteristics and imaging features. Int J Ophthalmol, 2023,16(5):705-711

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
Publication History
  • Received:December 11,2022
  • Revised:March 27,2023
  • Adopted:
  • Online: April 27,2023
  • Published: