Metastatic Malignant Paraganglioma: A Case Report and Review of Literature
Bibliographic record
Abstract
Metastasis is a rare presentation of non-secretory paraganglioma. Consequently, there is no standard of care for the treatment of metastatic malignant paraganglioma. The most widely used chemotherapy regimen for non-resectable cases includes cyclophosphamide, vincristine, and dacarbazine (CVD). CVD has been previously studied with variable therapeutic response. However, yttrium-90 (Y90) radioembolization has not been previously studied in the treatment of hepatic metastasis in patients diagnosed with malignant paraganglioma. This case report follows the treatment of a patient with stage IV mediastinal paraganglioma with metastasis to the liver. Treatment consisted of the CVD chemotherapy regimen and Y90 radioembolization of the hepatic lesions. After 10 cycles of CVD, the tumor size has decreased from 6.0 × 8.8 to 5.5 × 3.0 × 3.4 cm on computed tomography scan. The prominent metastatic liver lesions responded after Y90 radioembolization of both the right and left hepatic arteries. The prominent right hepatic lobe lesion has decreased in size from 2.6 × 3.4 × 3.0 cm to 2.6 × 2.8 × 2.9 cm. The prominent left hepatic lobe lesion originally measuring 1.6 cm in diameter completely resolved on follow-up imaging studies. After completion of 12 cycles of chemotherapy, the most recent positron emission testing scan determined no evidence of disease regarding both the primary mass and the hepatic lesions. This study demonstrates the first case of combination chemotherapy and Y90 radioembolization with a complete response per response evaluation criteria in solid tumors criteria. The approaches toward diagnosis and treatment corresponding to this case of malignant metastatic paraganglioma are also reviewed in this study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".