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Updated: Jan 11, 2026
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
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Practical Approach to Imaging of Orbital Tumors
Matthew S Breen1, Mari Hagiwara1
1Department of Neuroradiology, NYU Grossman School of Medicine, 550 1st Avenue Floor 1, New York, NY 10016, USA.
Radiologic Clinics of North America
|November 13, 2025
Summary
Cross-sectional imaging is vital for diagnosing orbital masses. Understanding orbital anatomy aids radiologists in identifying tumors and planning treatment.
Area of Science:
- Radiology
- Ophthalmology
- Pathology
Background:
- Orbital masses, including true masses and pseudomasses, present diagnostic challenges.
- Accurate diagnosis relies on understanding orbital anatomy and potential pathologies.
Purpose of the Study:
- To provide a practical imaging approach to orbital tumors.
- To discuss pathologies based on their site of origin.
Main Methods:
- Review of cross-sectional imaging techniques for orbital lesions.
- Correlation of imaging findings with anatomical structures and pathologies.
Main Results:
- Imaging is crucial for differentiating orbital masses.
- Characteristic appearances can narrow differential diagnoses, but overlap exists.
- Tissue sampling is often required for definitive diagnosis.
Conclusions:
- Imaging is essential for the initial diagnosis of orbital masses.
- It plays a key role in surgical planning, surveillance, and follow-up.
- Radiologists must integrate anatomical knowledge with imaging findings.
