Safety and Feasibility of Irreversible Electroporation (IRE) in Patients with Locally Advanced Pancreatic Cancer: Results of a Prospective Study
Bibliographic record
Abstract
PURPOSE: To evaluate the safety of the NanoKnife Low Energy Direct Current (LEDC) System (Irreversible Electroporation, IRE) in order to treat patients with unresectable pancreatic adenocarcinoma. METHODS: Prospective, nonrandomized, single-center clinical evaluation of ten patients with a cytohystological diagnosis of unresectable locally advanced pancreatic cancer (LAPC) that was no further responsive to standard treatments. The primary outcome was the rate of procedure-related abdominal complications. The secondary endpoints included the evaluation of the short-term efficacy of IRE through the evaluation of tumor reduction at imaging and biological tumor response as shown by CA 19-9, clinical assessments and patient quality of life. RESULTS: Ten patients (5 males, 5 females) were enrolled, with a median age of 66 and median tumor size of 30 mm. All patients were treated successfully with a median procedure time of 79.5 min. Two procedure-related complications were described in one patient (10%): a pancreatic abscess with a pancreoduodenal fistula. Three patients had early progression of disease: one patient developed pulmonary metastases 30 days post-IRE and two patients had liver metastases 60 days after the procedure. We registered an overall survival of 7.5 months (range: 2.9-15.9). CONCLUSIONS: IRE is a safe procedure in patients with LAPC and may represent a new technological option in the treatment and multimodality management of this disease.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".