Three-phase scintigraphy as an addition to the traditional singlephoton diagnosis of patients with neuroendocrine tumors
Bibliographic record
Abstract
Introduction . Neuroendocrine tumors (NET) are a heterogeneous group of neoplasms originating from enterochromaphin cells of the diffuse endocrine system. Nuclear medicine, imaging of somatostatin receptors, plays a leading role in identifying and assessing the status of NET. Purpose . To determine the complex of X-ray and radiological signs characteristic of neuroendocrine tumors and compare them with an immunohistochemical study of expression levels of somatostatin receptors. Materials and methods . The study included 119 patients with NET of various localizations who were examined at the N. N. Blokhin National Research Medical Center of Oncology from 2019 to 2022. There are 75 women and 44 men among them (63 % and 37 %, respectively). The age of the patients ranged from 1 to 84 years (median – 60). Results . When comparing the Grade values depending on the «flash» in a dynamic study, we found statistically significant differences (p=0.010).Conclusions. Clinical and radiological criteria for the qualitative characteristics of dynamic scintigraphy in NET make it possible to predict the effectiveness of treatment and the course of the disease, and the use of 3-phase scintigraphy with 99mTc-tectrotide makes it possible to diagnose a neuroendocrine tumor in 46 % of patients before receiving histological material or when it is impossible to obtain it.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".