SURVEY OF COMPUTED TOMOGRAPHY PRACTICE IN UKRAINE AND ESTABLISHMENT OF NATIONAL DIAGNOSTIC REFERENCE LEVELS FOR MOST COMMON CT EXAMINATIONS OF ADULTS
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
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.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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