Threshold modification for tumour imaging in non-small-cell lung cancer using positron emission tomography
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
AIM: Positron emission tomography (PET) has been used increasingly in the staging and radiotherapy treatment planning of non-small-cell lung cancer (NSCLC). This study investigates the factors that affect the resultant size of a given image on PET. METHODS: PET was used to assess the geometric characteristics of a series of radioisotope-filled, stationary spheres of known volume, surrounded by positron-emitting radioactive tracer of variable activity. The resultant PET-derived spherical volumes were then referenced to the known spherical volumes in order to illustrate quantitatively the potential influence of image threshold, tumour size and background concentration. This influence was further illustrated by clinical examples. RESULTS: Considering the diameter of the spheres used in this study (10-48 mm), higher image thresholds were required for accurate rendering of the smallest spherical volumes. This inverse relationship was most consistently illustrated at the lowest background intensity ratios. CONCLUSION: PET-derived volumes of NSCLC must be interpreted with caution. The data presented in this study may be used to guide the selection of appropriate image thresholds for potential clinical application.
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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 | 0.000 |
| 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 it