Drug-eluting microspheres transarterial chemoembolization (DEM TACE) in patients with liver metastases. Pilot study.
Bibliographic record
Abstract
BACKGROUND: Only 10 to 20% of patients with hepatic metastases qualify for radical resection of their lesions. The treatment issue among the rest of patients is a small clinical response to overall chemiotherapy and the frequent inability to treat patients with percutaneous thermoablation. In the latter circumstance, parallel to the radical surgery, the reason is the size of the lesion or lack of access to it. MATERIAL/METHODS: 15 patients with hepatic metastases, who had been rejected from consideration of radical resection and thermoablation were subjected to chemoembolization of the proper hepatic artery branches. The procedure was performed using Hepasphere 50-100 μm impregnated with 100 mg of Doxorubicine. The primary tumor sites included: colorectal ca, cholangiocarcinoma, gastrinoma, gallbladder ca, pancreatic ca, GIST, lung ca, kidney ca, breast ca and larynx ca. The evolution of the disease was monitored by MRI scanning, which was performed after a mean time of 7.6 weeks from the chemoembolization. During the study, we compared patients' quality of life (using Edmonton Evaluating System); length of hospital stay, chemoembolization side effects, and remission or progression of the disease by the RECIST 1.1 scale. RESULTS: 26.7% of patients had remission of the metastatic disease, 33.4% experienced stable desease and 26,7% suffered lesion progression. Two patients did not report to the MRI examination. Chemoembolzation's side effects were small and the quality of patients' live improved. Effectiveness depended on the overal condition of the patient, and the stage of the primary disease. CONCLUSIONS: Chemoembolization is a minimally invasive, safe and possibly effective palliative procedure in patients with hepatic metastases. Further investigation on a larger group of patients is required and will be continued.
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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) | 0.001 | 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) | 0.001 | 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 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".