Validation set analysis to predict postoperative outcomes by technetium-99m galactosyl serum albumin scintigraphy for hepatectomy
Bibliographic record
Abstract
BACKGROUND: The indocyanine green retention rate at 15 min (ICGR15) is a gold standard parameter of liver function when deciding on the extent of hepatectomy. However, ICGR15 is influenced by several hepatic conditions. To evaluate auxiliary preoperative liver functional reserve, we examined the clinical significance of modified parameters by blood tests and technetium-99m galactosyl human serum albumin (Tc-GSA) scintigraphy. METHODS: We measured liver function parameters, including the hepatic uptake ratio (LHL15) and the blood pool clearance index (HH15) of Tc-GSA and their modified formulae [LHL/HH15, LHL minus HH15, and converted ICGR15 (cICGR15) from a preliminary study] in 229 patients, including 18 with biliary obstruction. RESULTS: The mean values of LHL15/HH15, LHL minus HH15, and cICGR15 were 1.646 ± 0.295, 0.347 ± 0.116, and 13.2 ± 5.3%, respectively. These parameters correlated significantly with other liver functions measured by blood tests except for the bilirubin level (P < 0.05) although the actual ICGR15 level correlated positively with the bilirubin level. The difference of ICGR15 (ICGR15 minus cICGR15) in patients with biliary obstruction tended to be higher in comparison with that in patients without biliary obstruction (P = 0.044). Values of LHL/HH15, LHL minus HH15, and the cICGR15 were not significantly associated with postoperative complications. CONCLUSION: The modified parameters of Tc-GSA were useful for evaluating hepatic function in patients with high bilirubinemia due to biliary obstruction. However, it remains difficult to establish a more reliable parameter as a standard hepatic function test instead of ICGR15.
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".