Visceral Fat Area Evaluation by Computed Tomography Correlates with Visceral Fat Volume
Bibliographic record
Abstract
In Japan, the measurement of abdominal circumference is commonly used in diagnosis of visceral fat accumulation. It is also recommended that visceral fat at the umbilical level be measured using CT scans. If CT is used to measure the visceral fat area, we do not have to consider the possibility of measurement error due to subcutaneous fat. However, it is unknown whether the visceral fat area measurement by CT reflects the visceral fat volume of the entire abdomen.We examined the correlation between the visceral fat area at the umbilical level and the visceral fat volume of the entire abdomen using CT images taken from the diaphragm to the pubic bone.The results showed that there was a very high correlation between the visceral fat area and the visceral fat volume. The correlation was not affected by gender differences, old age or whether visceral fat was accumulated or not.Therefore, we concluded that it is possible to estimate the visceral fat volume of the entire abdomen by measuring the visceral fat area at the umbilical level.
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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 | 0.003 |
| 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) | 0.002 | 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".