Simple Core-Needle Biopsy for Thyroid Nodule, Complicated Tinnitus
Bibliographic record
Abstract
BACKGROUND: Fine-needle aspiration is the procedure of choice for evaluating thyroid nodules. Core-needle biopsy (CNB) is not included in the American Thyroid Association recommendations for evaluating such nodules. CNB complications are classically bleeding and hematomas. To our knowledge, no case of arteriovenous fistula (AVF) secondary to a CNB has been reported, nor has any case of tinnitus secondary to a post-CNB AVF. OBJECTIVES: To make the clinician aware of possible vascular complications caused by CNB and the possibility of difficult pathology reading caused by previous CNB. METHODS: A 44-year-old female is described who was referred to our tertiary care center for left-sided pulsatile tinnitus. She did report having had a CNB right before the tinnitus appeared. Conventional angiography demonstrated a focal AVF originating from the left vertebral artery, with reflux to the left vertebral venous plexus. A 6-mm stent was placed over the site of the fistula via an endovascular approach, which solved both the radiological and clinical documented problems. Moreover, CNB greatly complicated pathology reading once total thyroidectomy was later performed. The suspected area of invasion was an artifact due to the previous biopsies. CONCLUSION: Although many authors recommend a CNB as an alternative modality in cases of inconclusive cytology with fine-needle aspiration, it is not in the American Thyroid Association recommendations. In cases of iatrogenic AVFs caused by a CNB, angiography is recommended both as a diagnostic and therapeutic modality. Stenting the fistula with an endoprosthesis can correct the problem immediately.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".