Significance of the preoperative regional maximal removal rate of technetium-99m-galactosyl human serum albumin in the future remnant liver
Bibliographic record
Abstract
BACKGROUND: The relationship between posthepatectomy complications and liver functional parameters was preliminary reported in a pilot study. The present study sequentially evaluated the clinical significance of maximal removal rate of technetium-99m-galactosyl human serum albumin (GSARmax) in the future remnant liver (rGSARmax) in patients to predict posthepatectomy complications. METHODS: Between 2010 and August 2017, GSARmax, rGSARmax, their difference (Dif), and the rGSARmax to GSARmax ratio were examined in 247 additional patients who underwent hepatectomy for liver and biliary diseases. Hepatectomy-related postoperative complications (i.e. long-term ascites, intra-abdominal infection, and hepatic failure) occurred in 73 (29.6%) patients. RESULTS: The median and mean preoperative GSARmax values were 0.477 and 0.498±0.166 mg/min, respectively; rGSARmax values were 0.341 and 0.366±0.145 mg/min, respectively; Dif values were 0.105 and 0.132±0.111 mg/min, respectively; and the rGSARmax to GSARmax ratio values were 0.774 and 0.746±0.177, respectively. Among these, the GSARmax and rGSARmax values were significantly correlated with the liver functional parameters ICGR15, LHL15, HH15, prothrombin activity, serum hyaluronic acid level, and platelet count (all P<0.01). The rGSARmax values were significantly lower in patients with long-term ascites (P<0.05), and the predictive cutoff values of rGSARmax were 0.290 mg/min; however, the multivariate logistic regression analysis showed that rGSARmax was not independently related to long-term ascites. CONCLUSION: When accompanied by other functional liver reserve parameters, rGSARmax seemed to be an alternative liver functional parameter related to ascites.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".