SURVEY OF COMPUTED TOMOGRAPHY PRACTICE IN UKRAINE AND ESTABLISHMENT OF NATIONAL DIAGNOSTIC REFERENCE LEVELS FOR MOST COMMON CT EXAMINATIONS OF ADULTS
Bibliographic record
Abstract
This study reports results of the first nationwide survey of computed tomography (CT) practice in Ukraine and proposed national diagnostic reference levels (DRLs) for common CT examinations. The collected data included characteristics of CT scanners, frequency of CT exams per anatomical region, dose indices CTDIvol and dose-length product (DLP). National DRLs were proposed at the 75th percentile of median dose indices distributions for four common CT protocols: head without contrast (brain examinations for stroke and trauma), routine chest without contrast, single-phase contrast-enhanced CT of abdomen and pelvis and oncology protocol (chest-abdomen-pelvis). The results showed 4- to 9-fold variations of median dose indices between CT scanners for the same type of examination. The following values of the CTDIvol and DLP were proposed as national DRLs: 59 mGy and 1130 mGy•cm for head, 14 mGy and 492 mGy•cm for chest, 22 mGy and 845 mGy•cm for abdomen/pelvis and 2120 mGy•cm for oncological protocol.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".