Correlation analysis of preoperative magnetic resonance cholangiopancreatography and prognosis in hilar cholangiocarcinoma
Bibliographic record
Abstract
PURPOSE: To determine the presence and extent of preoperative biliary obstructions, using magnetic resonance cholangiopancreatography (MRCP), and to determine the clinicopathological consequences of these obstructions in a group of 83 patients with hilar cholangiocarcinoma (HC). METHODS: Fifty-five HC patients with biliary obstruction and 28 HC patients without biliary obstruction were included in the study. The associations between biliary obstruction (assessed using MRCP) and clinicopathological characteristics were analysed. RESULTS: Patients with biliary obstruction had a higher liver function and serum carbohydrate antigen than those without biliary obstruction. The Bismuth-Corlette classification, tumour stage and lymph node metastasis were identified as independent relative factors of biliary obstruction, while differentiation and biliary obstruction were identified as independent factors of overall survival. Furthermore, the size of the tumour, differentiation and biliary obstruction were independent prognostic indicators of disease-free survival for HC patients. CONCLUSIONS: The presence and extent of preoperative biliary obstruction, measured by MRCP, was associated with aggressive clinicopathological features and indicated poor prognosis in HC patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".