Graves’ disease treated with thyroid arterial embolization
Bibliographic record
Abstract
PURPOSE: To study pathological changes in the thyroid gland of patients with Graves' disease (GD) treated with thyroid arterial embolization. METHODS: Thirty-seven patients with GD were treated through transcatheter thyroid arterial embolization. Of these patients, twenty-two had biopsy of the thyroid gland at different time points before and after the embolization for the study of pathology. Serum thyroid hormones, TSH and TRAb were also studied at these time points. Thyroid size was evaluated in all patients using color Doppler ultrasound or CT scan. RESULTS: Thyroid size decreased immediately or several days following embolization. Pathological study demonstrated mainly acute infarction and necrosis at 7 days post embolization. At 6 months, chronic inflammation and fibrous hyperplasia were the primary findings in the gland, and at 3 years following embolization, mesenchyma hyperplasia and follicle atrophy were primarily present in the embolized thyroid tissue. The thyroid hormones and TSH gradually resumed to normal range after embolization while TRAb decreased significantly. CONCLUSION: Thyroid arterial embolization can cause GD thyroid gland a series of pathological changes of acute ischemia and necrosis and later, chronic inflammation, fibroplasia and atrophy to decrease secretion of thyroid. The pathological changes within the thyroid gland after embolization form the basis of thyroid arterial embolization in treating GD hyperthyroidism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".