Preoperative regional maximal removal rate of technetium-99m-galactosyl human serum albumin is correlated with liver functional parameters, but did not predict postoperative morbidity
Bibliographic record
Abstract
BACKGROUND: Recently, posthepatectomy complications have been predicted by advances of new liver functional parameters, and the technetium-99m-galactosyl human serum albumin (GSA) liver scintigraphy has been applied widely for this purpose. We evaluated the clinical significance of the regional maximal removal rate (GSA-Rmax) in patients with various liver diseases as predictors of posthepatectomy complications. PATIENTS AND METHODS: Between 2012 and March 2016, we examined 200 patients who underwent hepatectomy for liver and biliary diseases. The patients' background liver conditions included chronic viral liver diseases in 147 patients, normal liver in 44 patients, and others in nine patients. Hepatectomy-related postoperative complications (i.e. long-term ascites, intra-abdominal infection, and hepatic failure) occurred in 69 (35%) patients. A multivariate logistic analysis was carried out to detect the predictive parameters for complications. RESULTS: The median and mean preoperative GSA-Rmax was 0.420 and 0.448±0.148 mg/min, respectively. The GSA-Rmax was significantly correlated with liver functional parameters of ICGR15, LHL15, HH15, platelet count, prothrombin activity, and serum hyaluronic acid level (P<0.01), and was significantly correlated with postoperative total bilirubin level and C-reactive protein level (P<0.05). With respect to patient outcomes, GSA-Rmax was significantly lower in patients with long-term ascites (P<0.05). The predictive cutoff value for posthepatectomy long-term ascites for GSA-Rmax was 0.421 mg/min. However, the multivariate logistic regression analysis identified that a higher serum hyaluronic acid level and a lower platelet count were significant, independent factors, but not lower GSA-Rmax. CONCLUSION: GSA-Rmax is one of the liver functional parameters and is a complementary parameter to predict postoperative hyperbilirubinemia, inflammatory responses, and ascites when Tc-GSA scintigraphy is performed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".