Topographic Distribution of Papillary Thyroid Carcinoma by Mapping in Coronal Sections of 125 Consecutive Thyroidectomy Specimens
Bibliographic record
Abstract
INTRODUCTION: Mapping of different foci in multifocal papillary thyroid carcinoma (PTC) has previously not been done as it is difficult to do so when thyroid specimens are serially sectioned transversely (ie, parallel to the horizontal plane). In this study, thyroidectomy specimens were serially sectioned coronally (ie, parallel to the largest surface of the thyroid gland), which allows for panoramic and 3-dimensional visualization of PTC foci and their relationship to one another. MATERIALS AND METHODS: A total of 125 consecutive total thyroidectomies or lobectomies followed by completion thyroidectomies were serially sectioned coronally and reviewed with identification and characterization of PTC foci. PTCs were grouped into either discrete, encapsulated nodule(s) (EN) of both follicular or papillary architecture, usual variant (UV), or tall cell variant (TCV). RESULTS: The predominant tumor masses were identified in the right lobe, isthmus, and left lobe in 52%, 8%, and 40%, respectively. The largest tumor nodules ranged from 3 to 60 mm (18.8 ± 6.6) with the UV, EN, and TCV groups accounting for 58%, 24%, and 18% of cases, respectively. Three topographic patterns of PTC can be distinguished as follows: (a) single tumor nodule (37 cases), (b) main tumor nodule with satellite nodule(s) displaying no or varying degrees of fusion with the main one (30 cases), and (c) main tumor nodule with either a second large nodule or randomly occurring tumor nodules (58 cases). Bilaterality can be seen in all 3 patterns but was most prevalent in the group comprising the main tumor nodule with either a second large nodule or random tumor nodules. It was least frequent in the EN group without random tumor nodules. The difference in rates of bilaterality between tumors <10 mm and ≥10 mm was statistically significant (P < .01). For all 3 groups, satellite nodules displayed histopathological features that were similar or dissimilar to the main tumor mass. They may be of a different variant than that of the main tumor nodule. CONCLUSIONS: With panaromic and 3-dimensional visualization, individual tumors/satellite or random nodules of multifocal PTC were readily identified in serial coronal sections of thyroidectomy specimens. Bilaterality was frequently observed in tumors associated with random PTC foci, whereas, the EN group tended to be unilateral and was not associated with random foci.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 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".