Utility of shear‐wave elastography to differentiate low from advanced degrees of liver fibrosis in patients with hepatitis C virus infection of native and transplant livers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To determine the accuracy of shear-wave elastography (SWE) to differentiate low from advanced degrees of liver fibrosis in hepatitis C patients. MATERIAL & METHOD: Consented native/transplant hepatitis C patients underwent SWE using a C1-6 MHz transducer before ultrasound (US)-guided liver biopsy. Five interpretable SWE samples were obtained from the right lobe of the liver immediately before US-guided random biopsy of the right lobe. Average kilopascal (kPa) values were compared to the meta-analysis of histological data in viral hepatitis (METAVIR) fibrosis grading. SWE values were correlated with the degree of inflammation and fatty infiltration. RESULTS: Study population consisted of 115 patients (63 with transplant, and 52 with native liver) including 29 women and 86 men, with a mean ± SD age of 56 ± 8.7 years. Mean ± SD SWE values were 7.9 ± 3 kPa in 83 patients with METAVIR scores of 0-2 and 13.2 ± 5.9 kPa in 32 patients with METAVIR scores of 3 or 4 (P < .001). Area under curve (AUC) of a Receiver Operating Characteristics curve for advanced degrees of fibrosis was 0.81 (95% CI: 0.71, 0.90) (P < .001). AUCs of transplant versus native livers (0.78 [CI:0.62, 0.94] versus 0.85 [CI: 0.73, 0.96]), degree of inflammation (0.81 [CI: 0.65, 0.97] versus 0.72 [0.56, 0.88]), or degree of fat deposition (0.81 [CI:0.70, 0.92] versus 0.80 [CI:0.61, 1]) were not statistically different (P > .05). for kPa threshold of SWE value of 10.67 kPa to differentiate advanced from low degree of fibrosis had a sensitivity of 59% (CI: 41%-76%) and specificity of 90% (CI: 82%-96%). CONCLUSION: Liver stiffness evaluated by SWE can differentiate low from advanced liver fibrosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it