FP405EVALUATION OF BONE MICROARCHITECTURE BY HIGH-RESOLUTION PERIPHERAL QUANTITATIVE COMPUTED TOMOGRAPHY IN PATIENTS WITH CHRONIC KIDNEY DISEASE: COMPARISON WITH TRANSILIAC BONE BIOPSY
Bibliographic record
Abstract
Introduction and Aims: High-resolution peripheral quantitative computed tomography (HR-pQCT) is a noninvasive imaging technique that assesses trabecular and cortical bone microarchitecture in vivo. The purpose of our study is to evaluate, for the first time, the correlation between HR-pQCT measures and transiliac bone biopsy (Bx) in chronic kidney disease (CKD) patients. Methods: We measured bone mineral desnsity (BMD) by HR-pQCT and dual energy x-ray absorptiometry (DXA) in 31 CKD stage 5D patients. Biopsies were analyzed by 2D quantitative histomorphometry, where both total and mineralized trabecular bone volume (2D BV/TV and 2D Md.V/TV, respectively) were measured. Results: Patients (19 males) were 41 ± 11 years old, with a dialysis vintage of 28 months, BMI of 24 kg/m², serum Ca of 8.4 ± 0.6 mg/dl; P of 3.4±1.5 mg/dl; alkaline phosphatase 93 (71 -145) U/L; PTH 463 ± 343 pg/ml; 25-vitamin D 25 (18 - 32) ng/ml and sclerostin 1.03 (0.51 - 1.83) ng/ml. 2D BV/TV correlated significantly with height; lumbar spine (r = 0.70) and total femur (r = 0.59) DXA; and modestly with HR-pQCT BV/TV at the radius (r = 0.42; p< 0.05) but not at the tibia. 2D Md.V/TV correlated significantly with age; height; lumbar spine (r = 0.67) and total femur (r = 0.63) DXA; and HR-pQCT BV/TV (r = 0.50; p<0.05) only at the radius. Conversely, a strong correlation was found between 2D cortical porosity (Ct.Po) and HR-pQCT cortical bone density (Dcomp) both at radius and tibia (r = -0.60 and -0.64, respectively; p <0.05). We found significant negative correlations between cortical density measured by HR-pQCT, and age, time on dialysis, PTH and alkaline phosphatase in the distal radius and tibia. The trabecular density and BV/TV, as measured by HR-pQCT, correlated with the age at the distal tibia and radius, and sex hormones, only at the radio.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".