Energy spectrum computed tomography improves the differentiation between benign and malignant solitary pulmonary nodules
Bibliographic record
Abstract
PURPOSE: To evaluate the diagnostic efficiency of computed tomography (CT) values at the 40~140 keV monochromatic level for the differential diagnosis of solitary pulmonary nodules (SPNs). METHODS: Energy spectrum CT data of 44 patients with SPNs were analyzed retrospectively; 24 patients with malignant SPNs served as the malignant group and 20 patients with benign SPNs served as the benign group. The basic material concentration and the enhancement degree differences in double-phase enhanced scans were compared between the two groups. The sensitivity and specificity were calculated to determine diagnosis, and were compared with the pathology results. RESULTS: The CT values at the 40~90 keV monochromatic level and the iodine concentrations of malignant group were higher than those of benign group in the arterial phase (all P < 0.05). The enhancement degree of the malignant group was higher than that for the benign group in the arterial phase (36.36 ± 33.18 HU vs 16.93 ± 24.17 HU t = 2.243, P = 0.030); however, the enhancement degrees of the two groups were similar in the venous phase (21.99 ± 15.87 HU vs 17.62 ± 24.15 HU t = 0.694, P = 0.493). The area under the curve of the enhancement degree in the arterial phase was 0.792. CONCLUSIONS: Monochromatic imaging and base material concentration of energy spectrum CT can help differentiate between benign and malignant SPNs.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 teacher head, 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".