Abducens nerve palsy due to clivus metastasis in a patient with breast carcinoma: A rare case
Bibliographic record
Abstract
INTRODUCTION: Breast cancer, comprising 25 % of all diagnosed cancers, predominantly affects women globally. While bone metastasis is common, occurrences at the clivus or skull base are rarely documented. Treatment varies from surgery in early stages to a multifaceted approach for advanced cases, incorporating chemotherapy, radiotherapy, and surgery based on staging and histology. CLINICAL PRESENTATION: A 40-year-old female presented with a rapidly enlarging lump in her left breast and diplopia on right gaze. Histology was positive for invasive breast cancer (no special type) and Contrast-Enhanced Computed Tomography demonstrated metastatic deposits in multiple vertebrae and bilateral ilium. Further, magnetic resonance imaging of the brain and orbits revealed metastatic deposits in the clivus which extended up-to medial wall of the cavernous sinus, causing compression of the right abducens nerve. Multidisciplinary Tumor Board review recommended chemoradiotherapy. DISCUSSION: Metastases from breast cancer can occur locally or to distant sites like lymph nodes, bones, lungs, liver, and brain. Unusual symptoms, such as new-onset diplopia, trigger further investigation. Although bone metastases occur in 50-65 % of cases, clivus metastasis is rare. Treatment aims at extending survival, symptom management, and enhancing quality of life through chemotherapy and radiotherapy. Outcomes hinge on metastatic burden and regional therapy responsiveness. Distant metastases substantially reduce the 5-year survival rate from 80 % to approximately 25 %, but cases often improve with regional interventions. CONCLUSION: Although an extremely rare occurrence, clivus metastasis might be considered in patients with a history of malignancy, in particular, breast malignancy, presenting with new-onset sixth nerve palsy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".