Hepatobiliary scintigraphy for the assessment of biliary stricture after pediatric living donor liver transplantation for hepaticojejunostomy reconstruction: The value of the excretion rate at 60 min
Bibliographic record
Abstract
Fukuda A, Sakamoto S, Shigeta T, Kakiuchi T, Matsuno N, Tanaka H, Kitamura M, Nosaka S, Nakazawa A, Kasahara M. Hepatobiliary scintigraphy for the assessment of biliary stricture after pediatric living donor liver transplantation for hepaticojejunostomy reconstruction: The value of the excretion rate at 60 min. Pediatr Transplantation 2011: 15: 594–600. © 2011 John Wiley & Sons A/S. Abstract: HBS is performed to determine the presence of biliary stricture after liver transplantation. We focused on the Ex‐60 after an intravenous injection of tracer during HBS. The aim of this study was to review the cutoff values for the diagnosis of biliary stricture by HBS after pediatric LDLT. We analyzed 114 HBS studies using 99mTc‐PMT in 80 cases after pediatric LDLT. HBS was performed three months after LDLT on a routine basis and/or was performed when ultrasonography and blood test findings indicated biliary stricture. A ROC curve analysis was performed to identify the cutoff value for the correlation between Ex‐60 and biliary stricture. The Ex‐60 (mean ± s.d.) in the cases diagnosed as having biliary stricture and in normal subjects were 49.1 ± 20.2% vs. 78.0 ± 9.7% (p < 0.01), respectively. As a result of an ROC curve analysis of the Ex‐60, the recommended cutoff value to diagnose biliary stricture was set at 69.2% (sensitivity 87.0%, specificity 81.8%). In cases where the Ex‐60 by 99mTc‐PMT HBS is <69.2%, it is recommended that further treatment for biliary stricture should be provided.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".