Faculty Bibliography

A 61-year-old man underwent left medial wall and floor fracture repair with a Suprafoil® implant. He had postoperative orbital congestion and lower eyelid swelling that persisted for over seven weeks. Examination demonstrated hyperglobus with supraduction, infraduction, and adduction deficits. Imaging revealed a 3.7 × 3.6 × 2.6 cm isodensity along the implant, thought to be hematoma. The patient elected to pursue exploration and possible drainage. Intraoperatively, there was no hematoma; rather, we found a fibroinflammatory rind along the periorbita surrounding the implant. This was biopsied, and the implant was removed, as the fractures had sufficiently healed. Pathology showed dense fibroconnective tissue with associated inflammation. The patient completed a steroid taper with improvement in all symptoms and resolution of diplopia. To our knowledge, this is the first reported case of such a prominent orbital inflammatory reaction to nylon foil, a departure from the delayed hematic cysts typically associated with these implants.

PURPOSE/UNASSIGNED:To describe two patients with blue nevi of the palpebral conjunctiva and to review the existing literature on common and cellular blue nevi of the conjunctiva. METHODS/UNASSIGNED:Report of two cases and literature review. RESULTS/UNASSIGNED:We present two cases of blue nevi in the palpebral conjunctiva: an atypical cellular blue nevus of the left upper eyelid and a common blue nevus around the lacrimal punctum of the left lower eyelid. Both patients underwent full thickness eyelid excision with wide margins. There was no tumor recurrence at 11 and 4 months postoperatively. CONCLUSIONS/UNASSIGNED:Blue nevi are a group of melanocytic tumors that rarely involve the ocular adnexa. They may arise in the palpebral conjunctiva and should be considered in the differential diagnosis of pigmented lesions in this location as they can mimic melanoma.

Idiopathic orbital inflammation is rare in the pediatric population, particularly infants. It can be mistaken either for orbital infection or malignant tumors. We report the case of a 9-month-old previously healthy white boy who presented with right upper eyelid swelling. Magnetic resonance imaging revealed an abnormal T2-hypointense enhancing lesion within the extraconal superior right orbit.

OBJECTIVES/OBJECTIVE:To develop and validate a deep learning algorithm to automatically detect and segment an orbital abscess depicted on computed tomography (CT). METHODS:We retrospectively collected orbital CT scans acquired on 67 pediatric subjects with a confirmed orbital abscess in the setting of infectious orbital cellulitis. A context-aware convolutional neural network (CA-CNN) was developed and trained to automatically segment orbital abscess. To reduce the requirement for a large dataset, transfer learning was used by leveraging a pre-trained model for CT-based lung segmentation. An ophthalmologist manually delineated orbital abscesses depicted on the CT images. The classical U-Net and the CA-CNN models with and without transfer learning were trained and tested on the collected dataset using the 10-fold cross-validation method. Dice coefficient, Jaccard index, and Hausdorff distance were used as performance metrics to assess the agreement between the computerized and manual segmentations. RESULTS:The context-aware U-Net with transfer learning achieved an average Dice coefficient and Jaccard index of 0.78 ± 0.12 and 0.65 ± 0.13, which were consistently higher than the classical U-Net or the context-aware U-Net without transfer learning (P < 0.01). The average differences of the abscess between the computerized results and the experts in terms of volume and Hausdorff distance were 0.10 ± 0.11 mL and 1.94 ± 1.21 mm, respectively. The context-aware U-Net detected all orbital abscess without false positives. CONCLUSIONS:The deep learning solution demonstrated promising performance in detecting and segmenting orbital abscesses on CT images in strong agreement with a human observer.

INTRODUCTION/BACKGROUND:Our objective was to assess the utility of using lesion-mapping software to calculate precise orbital volumes to predict patients who would benefit from early surgical intervention. METHODS:We retrospectively reviewed patients diagnosed with subperiosteal orbital abscess (SPOA) secondary to sinusitis at a tertiary pediatric hospital from 2005 to 2016. Diagnoses were confirmed by CT scans. Lesion-mapping software was used to measure SPOA volume using initial CT images. Data collected included patient demographics, length of hospital stay, and subsequent medical or surgical treatment. RESULTS:Thirty-three (52%) patients ultimately underwent surgical intervention, while 30 (48%) were managed medically. Between the surgical and medical groups, there were no differences in gender, age, or comorbidities. The surgical group had larger abscess volumes than the medically managed group (0.94 mL vs. 0.31 mL, p < 0.01). Overall, increased SPOA volume was associated with increased age (Pearson's coefficient = 0.374, p ≤ 0.01) and increased total days of intravenous (IV) antibiotic administration (Pearson's coefficient = 0.260, p = 0.039). Patients who underwent surgery on the day of admission had 25% shorter hospital stay than patients who had delayed surgery (p < 0.01). Our calculated sensitivity-optimized SPOA volume cutoff of 0.231 mL yielded sensitivity of 90.9% and specificity of 70.0%. CONCLUSIONS:This is the first study to use lesion-mapping software for precise calculation of SPOA volumes, which can help refine indications for early surgical intervention and help decrease length of hospital stay.