Diffusion-weighted MR imaging: The importance of ADC and perfusion values in differential-diagnosis of pancreatic adenocarcinoma and mass forming pancreatitis
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Bibliographic record
Abstract
Objective: Despite the increasing diagnostic accuracy of cross sectional imaging modalities, the correct differentiation between pancreatic adenocarcinoma and mass forming pancreatitis has been remained a challenge. The aim of the authors is based on their two and a half year experience the assessment of diffusion-weighted MR imaging in the diagnosis and discernment of pancreatic adenocarcinoma and mass forming pancreatitis. Materials and methods: Three b-values diffusion-weighted MR examinations were performed at 19 patients suffering from adenocarcinoma and 8 from pancreatitis. 12 healthy patients were examined as reference. ADC and perfusion values were calculated. Malignancy was verified by pathology in all cases. Inflammatory disease was diagnosed by the previous medical history, the changing of laboratory data, follow-up CT examinations and improvement of patients’ conditions. Results: Comparison the ADC and perfusion values significant differences were between the healthy and the inflamma- tory or tumor affected tissues. The highest values could be measured at normal pancreas, mass forming pancreatitis had diminished ADC and perfusion, and tumor’s values were the lowest. Conclusion: In agreement with literature data, the authors conclude that DWI MR is a promising differential-diagnostic imaging tool in distinction of circumscribed pancreatic lesions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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