Significance of Tumor Capsular Invasion in Well-Differentiated Thyroid Carcinomas
Bibliographic record
Abstract
This study examines the influence of tumor capsular invasion on the biological behavior of papillary (PTC) and follicular thyroid carcinoma (FTC) and the prognosis of surgically treated patients. This retrospective cohort study included 350 cases of PTC or FTC from a university teaching hospital. Patient charts were randomly selected and reviewed. The study population was divided into PTC and FTC groups. Each group was subdivided into CI+ (with tumor capsular invasion) and CI- subgroups (without tumor capsule or without capsular invasion). The long-term prognosis was assessed using the American Joint Committee on Cancer pTNM staging and the prognostic index was elaborated by the European Organization for Research and Treatment of Cancer. There were 284 women and 66 men (ages 19-89 years, mean of 44) with an incidence of 53.1 per cent for CI+ tumors. There were no significant differences between the PTC subgroups regarding the short-term clinical outcome and the long-term prognosis. Although patients with CI+ FTC showed lower incidence of lymph node metastasis than patients with CI- FTC, the FTC subgroups were comparable regarding the short-term clinical outcome and the long-term prognosis. Our results suggest that presence of tumor capsular invasion does not adversely influence biological behavior or survival of PTC or FTC. Moreover, the presence of tumor capsular invasion appears to not have significance for the long-term prognosis of patients with PTC or FTC.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".