The use of bone scintigraphy with SPECT-CT in the diagnosis and evaluation of calciphylaxis
Bibliographic record
Abstract
1314 Learning Objectives 1. To review the epidemiology, pathology, and clinical presentation of calciphylaxis. 2. To review the typical bone scan and plain x-ray findings. 3. To examine the role SPECT-CT plays in the localization and characterization of soft-tissue microcalcifications. Calciphylaxis, also known as calcific uremic arteriolopathy, is an uncommon disease, typically found in patients with end-stage renal disease. Pathophysiological features include small vessel vasculopathy with mural calcification, fibrosis, and thrombosis. The clinical presentation varies but often consists of the necrosis of skin and subcutaneous tissues, as well as visceral organ involvement. As such, this condition is associated with significant morbidity and mortality, making accurate diagnosis imperative. We summarize the current standard of care and review the typical findings on bone scan. We present a case which was investigated using planar bone scintigraphy and SPECT-CT, and discuss the advantages of nuclear medicine techniques over conventional radiological assessment. Particular emphasis is placed on the utility of SPECT-CT in evaluating and localizing soft-tissue involvement.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".