Case Report of Cirrhosis following Yttrium-90 Radioembolization for Pancreatic Neuroendocrine Liver Metastases
Bibliographic record
Abstract
BACKGROUND: Management options for pancreatic neuroendocrine tumors (pNETs) metastatic to the liver include surgical, ablative, cytotoxic, and radioisotope approaches. One potential local treatment option includes selective internal radiotherapy utilizing yttrium-90 ((90)Y) microspheres. (90)Y has also been used in the treatment of hepatocellular carcinoma and tumors metastatic to the liver. It appears to be well tolerated; however, there is no randomized controlled trial reporting long-term toxicities. Previous retrospective reports have described biliary damage as a potential complication of therapy with (90)Y and chemoembolization; however, the long-term sequelae of (90)Y treatment are poorly understood. CASE PRESENTATION: We present the case of a 65-year-old Caucasian woman who suffered biliary damage following (90)Y administration for metastatic pNETs and subsequently developed cirrhosis. Given the timeline of her various treatments and the lack of any other identifiable etiology for her cirrhosis, we believe this to be a potential long-term complication of (90)Y therapy. CONCLUSION: This case provides pathologic confirmation of cirrhosis as a potential long-term sequela of (90)Y treatment. This long-term risk needs to be considered when sequencing therapy for patients with neuroendocrine tumors who have a good prognosis. There are now several other systemic and ablative treatment options available to these patients, and long-term complications must be considered during treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 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".