Looks Like Cancer But Not? Maxillary Sinus Hemangioma: A Diagnostic Dilemma
Bibliographic record
Abstract
Introduction Hemangiomas are benign vascular tumors frequently occurring in the head and neck region; however, involvement of the paranasal sinuses is rare. Among these, cavernous hemangiomas of the maxillary sinus are particularly uncommon and may mimic sinonasal malignancies clinically and radiologically due to their aggressive features. Common symptoms include unilateral nasal obstruction, epistaxis, and facial swelling, necessitating a comprehensive diagnostic and surgical approach. Case Report We report a case of a 68-year-old male with a two-year history of persistent right-sided nasal obstruction and blood-tinged discharge, accompanied by facial asymmetry and weight loss. Examination revealed a mass occupying the right nasal cavity, displacing the inferior turbinate. Imaging via contrast-enhanced CT showed a 6.2×5.7×3.7 cm enhancing soft tissue mass in the right maxillary sinus with bony erosion and extension into the nasal cavity, sphenoid sinus, and orbit, raising suspicion for malignancy. Pre-operative angiography confirmed vascular supply from the internal maxillary artery, and embolization was performed. The patient underwent a combined open and endoscopic right partial maxillectomy. Histopathology confirmed a diagnosis of cavernous hemangioma. Discussion Despite their benign nature, sinonasal hemangiomas—especially cavernous types—can cause aggressive bony destruction, mimicking malignancy. Imaging may reveal enhancing masses with areas of necrosis and hemorrhage, contributing to diagnostic challenges. Pre-operative embolization is a valuable adjunct to surgical resection to minimize intraoperative bleeding. Histologically, cavernous hemangiomas consist of dilated blood-filled vascular spaces with no cytological atypia, aiding in the differentiation from malignant lesions. Conclusion Maxillary sinus cavernous hemangiomas are rare and can present as a diagnostic dilemma due to their malignant-like features. A multidisciplinary approach involving endoscopy, imaging, embolization, and histopathological evaluation is critical for accurate diagnosis and effective management. Complete surgical excision remains the mainstay of treatment with favorable outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".