Intra-arterial infusion of irinotecan loaded microparticles (IAIRIM) for symptomatic and unresectable colorectal cancer (UCRC): Preliminary report.
Bibliographic record
Abstract
e20562 Background: We evaluated feasibility, safety and efficacy of IAIRIM on a compassionate use basisto treat locally UCRC and investigated a volume reduction of the target lesion. Methods: We considered patients with UCRC not eligible for any conventional treatment presenting severe anemia from rectal bleeding, colon obstruction and severe pain. A multidisciplinary evaluation was performed by surgeon, radiologist and oncologist. Patients underwent abdominal quadriphasic CT scan, in order to obtain a preliminary arterial mapping of the tumour; colostomy was performed in all patients. Angiography of superior and inferior mesenteric arteries was obtained to define the lesion vascularization and perform IAIRIM. A month later a new CT scan evaluation was performed to evaluate the volume of the target on Aw Volume share 2 (slice thickness 5mm). We defined the results adopting MASS, RECIST and mChoi response criteria. QoL was reported adopting Edmonton scale and EORTC QLQ-C30. Results: Ten patients were enrolled, IAIRIM was successfully performed in all without major complications. Ten patients experienced a clinical improvement with disappearance of bleeding and reduction of pain in a week. Fever lasting 36 hours (24-48) and minimal discomfort procedure related in were observed in all . Reduced but persisting muchorrea and tenesm were reported in 4 patient. After four months all patients were alive without pain or bleeding. 8/10 patients experienced mass reduction ( -39%; range -96% / +7%) and 2/10 no evidence of progression. QoL: Edmonton scale (considering only pain, fatigue, well-being and depression items) was around 7 in 8/10 patients before treatment and 6 in 2/10 patients. After treatment 6/10 patients reported mean score 3; 3/10 reported 4, 1/10 reported 2. Using EORTC QLQ-C30, mean score decreased from 3 to 2. Conclusions: IAIRIM seems feasible, with low side effects in patients bearing UCRC considered out of usual approaches. A reduction of symptomatic treatments and an increase of QoL (Edmonton and EORT QLQ-C30 scale) has been recorded in all patients. Volume reduction of the tumour has been observed in nine patients. Further experiences are warranted.
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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 | 0.000 |
| 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".