Value of Endoscopic Ultrasonography-Guided Fine Needle Aspiration (FNA) in the Diagnosis of Neoplastic Tumor(-like) Pancreatic Lesions in Daily Clinical Practice
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Bibliographic record
Abstract
PURPOSE: To investigate the value of EUS-guided FNA in the diagnosis of solid and cystic pancreatic tumor(-like) lesions as well as metastatic tumor growth within peripancreatic lymph nodes and its impact on therapeutic decision-making. The results of the cytologic and pathohistological investigation were compared with i) each other and ii) the detection rates of various imaging procedures. PATIENTS AND METHODS: Overall, 153 patients (mean age, 56.9 years) underwent EUS-guided FNA from I/ 2000 - III/ 2003. RESULTS: Comparing various imaging procedures such as CT scan (80 %), MRI (57.1 %) and abdominal US (88.8 %), EUS achieved the highest diagnostic accuracy: 100 %. For EUS-based T-staging in 26 patients with malignant tumor lesions undergoing surgical intervention, there was a sensitivity of 73.3 % (specificity, 85.9 %; PPV, 69.2 %; NPV, 84.4 %), while the parameters for N-staging (n = 25) were: sensitivity, 61.5 %; specificity, 75 %; NPV, 64.3 %; PPV, 72.7 %. While the sensitivity of EUS-guided FNA in the group of patients who underwent surgical intervention (n = 55) was 81.4 % (specificity, 75 %; PPV, 92.1 %; NPV, 52.9 %), the parameters were as follows in the subgroup of individuals with chronic pancreatitis (n = 30): sensitivity in detecting a malignant pancreatic tumor lesion, 50 %; specificity, 91.7 %; PPV, 60 %; NPV, 88 %. Based on preoperative characteristics such as suspected diagnosis, TNM stage and tumor entity, a surgical intervention could be avoided in 29 / 153 patients (19 %). CONCLUSION: EUS-guided FNA allows more precise diagnosis clarification (malignant tumor growth and tumor entity) in solid and cystic pancreatic tumor(-like) lesions, which may assist in early and sufficient therapeutic decision-making.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| 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