2-[18F]fluoro-2-deoxy-<scp>d</scp>-glucose positron emission tomography/computed tomography examination in patients with chronic lymphocytic leukemia may reveal Richter transformation
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
The significance of positron emission tomography/computed tomography (PET/CT) in chronic lymphocytic leukemia (CLL) has not yet been systematically studied. This prospective study was aimed at assessing the benefit of PET/CT in patients with newly diagnosed or relapsed CLL and Richter transformation (RT). PET/CT examination was performed in 23 patients with newly diagnosed disease, 13 with relapsed disease and eight with suspected or histopathologically confirmed RT. In all patients, the maximum standardized uptake value (SUV(max)) was calculated. The median SUV(max) was 3.4 (range: 1.5-6.3) and 3.1 (range: 1.2-5.9) in newly diagnosed and relapsed patients, respectively. The median SUV(max) of patients with suspected or confirmed RT reached 16.5 (range: 7.2-25.3), a value different from that of the previous groups (p < 0.001). 2-[18F]fluoro- 2-deoxy-D-glucose ((18)F-FDG) PET/CT revealed inflammatory lesions in seven patients (16%) and synchronous tumors in two newly diagnosed patients. (18)F-FDG PET/CT may be a beneficial imaging method when used in individuals with CLL and suspected RT.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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