Evaluation of a new visual uptake scoring scale for 18F-fluorothymidine positron emission tomography in the diagnosis of pulmonary lesions
Bibliographic record
Abstract
PURPOSE: The aim of this analysis was to evaluate a new visual scoring scale developed to facilitate the qualitative appraisal of lesion uptake on (18)F-fluorothymidine PET ((18)F-FLT-PET). METHODS: Sixty-two patients with a pulmonary lesion of unknown aetiology who had undergone an F-fluorodeoxyglucose-PET/computed tomography (CT) suspicious for malignancy prospectively underwent an (18)F-FLT-PET/CT. Three nuclear medicine physicians independently reviewed each (18)F-FLT-PET/CT scan with knowledge of the location of the pulmonary lesion but blinded to the final diagnosis. They scored the lesion (18)F-FLT uptake as follows: (0) no visible uptake; (1) <spleen; (2) ≥ spleen, but <both liver and marrow; (3) between liver and marrow; (4) >liver and >marrow. Lesion mean (SUV(mean)) and maximum (SUV(max)) standardized uptake values were measured in a separate session. RESULTS: In all, 35 lesions were malignant and 27 were benign, as assessed on the basis of surgery, biopsy or follow-up of at least 12 months. Visual score, SUV(mean) and SUV(max) were statistically different between benign and malignant lesions. The visual scoring scale showed substantial to almost-perfect interobserver agreement with a weighted κ value of 0.84, 0.67 and 0.65 for each observer pair. The visual score was highly correlated to SUV(mean) and SUV(max) (r=0.83 and 0.87, respectively) and described a logarithmic pattern in relation to SUV(mean) and SUV(max) (r =0.67 and 0.72, respectively). The area under the receiver-operating characteristic curve for the visual score was 0.86 and was statistically different from that for SUV(mean) (0.77; P=0.026) and SUV(max) (0.79; P=0.047). CONCLUSION: The (18)F-FLT scoring scale we propose is easy to use with high interobserver agreement and a significantly better discriminative capacity compared with SUV measurements. It has the potential to harmonize the qualitative interpretation of (18)F-FLT-PET/CT in lung cancer diagnosis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".