A retrospective review of the University Health Network (UHN) multimodal treatment experience with extended resection of pancreatic ductal adenocarcinoma (PDAC) in patients with arterial involvement.
Bibliographic record
Abstract
447 Background: Involvement of a major artery with PDAC is a criteria of unresectability. Although major vein resection/reconstruction is now accepted in PDAC resection, the feasibility of arterial resection requires investigation. The response to neoadjuvant therapy (NAT) may be a useful tool for identifying appropriate candidates for extended resection. Methods: We retrospectively reviewed the UHN experience of multimodality therapy in patients (pts) with histologically confirmed PDAC and single vessel arterial involvement (superior mesenteric, celiac or hepatic artery) on CT from Jan 2009 to Dec 2013. These pts received NAT prior to being re-assessed for surgery; pts whose disease was either stable or improved were considered for surgery. Baseline imaging was reviewed independently. Postoperative complications were assessed and oncologic outcomes were analysed with Kaplan-Meier method. Results: We identified a cohort of 57 pts of whom 56 received NAT. On reassessment, 26 (46%) had no evidence of disease progression and were considered operable, while 31 had local or distant progression and were deemed inoperable. Of 26 pts proceeding to surgery, 21 (81%) underwent resection and 5 had a palliative procedure. In the resection group, 10 pts required arterial resection/reconstruction to achieve R0. The post-operative mortality at 90-days was 0% and morbidity was 86% with 33% major complications (Clavien-Dindo III-IV). With a median follow-up of 12,1 months, the median survival for the resection group was 18.7 months (95% CI: 11.2-NA) vs. 13.6 months (95% CI: 11.9-18.1) for the non-resection group, P=0.0246. Conclusions: Our results suggest that a multimodal approach including NAT +/- segmental arterial resection/reconstruction, can be considered but with high post-operative morbidity. The encouraging survival rates of pts after extended resection must be balanced with the morbidity of this surgery. Given the poor prognosis of pts with locally advanced PDAC, there is a rationale for prospective evaluation of this approach to identify pts who are most likely to benefit from this aggressive strategy.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".