<i>Ex vivo</i> evaluation of a coherent normalization procedure to quantify <i>in vivo</i> finger strontium XRS measurements
Bibliographic record
Abstract
PURPOSE: Energy dispersive x-ray fluorescence spectroscopy (XRS) measurements were performed on human cadaver index fingers to measure bone strontium content in the presence of intact overlying soft-tissue. This work assesses the feasibility of applying a normalization procedure including soft-tissue correction of x-ray absorption as a means to quantify an ex vivo bone strontium XRS measurement. METHODS: Bone strontium measurements were made using an excitation-detection system incorporating an (125)I x-ray excitation source and an Ortec® Ametek-AMT Si(Li) detector in 180° backscatter geometry. Spectral processing was accomplished using an in-house nonlinear least-squares Marquardt fitting routine. Bone strontium was quantified using an egs5 Monte Carlo based x-ray soft-tissue correction algorithm in conjunction with the normalization of strontium x-rays to the coherent scatter peaks of 35.5 keV (125)I γ-rays. RESULTS: Comparison of tissue intact and bare bone finger XRS measurement quantification attempts revealed an overall discrepancy of 18.6% that is attributed primarily to the significant contribution of soft-tissue to coherent scatter of 35.5 keV source γ-rays and to a lesser degree, inconsistencies with the simulated tissue correction model. Work toward the beginnings of an experimentally derived tissue correction model, as a means to validate the simulated model, have been reported. Two observations hinted at a systematic inflation of the observed Kβ peak area. First, strontium concentrations estimated by Kα peak areas were less than the Kβ peak areas by 28.6% (p < 0.0001) and 10.5% (p < 0.001) for tissue intact and bare bone measurements, respectively. Second, the Kα:Kβ x-ray average ratios between tissue corrected (3.61 ± 0.55) and bare bone predicted (4.4 ± 0.4) did not agree (p < 0.0001) and pointed to shortcomings with the current processing treatment of strontium K x-ray peak area extraction. Through finger bone XRS measurements, bone strontium concentration in the Caucasian population was estimated at 95 ± 15 μg Sr/g dry bone. CONCLUSIONS: The discrepancies observed: between quantification attempts of tissue corrected and bare bone measurements, the inflated estimates of Kβ relative to Kα peak concentrations and between observed and expected Kα:Kβ ratios, have indicated that shortcomings with the bone strontium coherent normalization and tissue correction procedure exist. Coherent scatter contribution of soft-tissue overlying bone, tissue correction model limitations, and spectra processing issues are all mentioned as sources of observed discrepancies.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".