Structural Correlations Between Dermoscopic Features of Cutaneous Melanomas and Histopathology Using Transverse Sections
Bibliographic record
Abstract
Interpretation of dermoscopic features of cutaneous melanoma is based on histologic description of perpendicular sections of the lesions that does not reflect the overview achieved by epiluminescence. We describe the utilization of transverse sections as a tool to define the histopathology of features that are the dermoscopic hallmarks of cutaneous melanoma. From a collection of 23 pigmented lesions with the dermoscopic diagnosis of cutaneous melanoma submitted for surgical excision we selected, from each specimen, one dermoscopic feature (black dots and globules, brown dots, blues dots and globules, depigmentation, broadened network, radial streams or pseudopods) that was sampled with a 4-mm punch (specimen) to obtain perpendicular and transverse sections. Using this strategy, it was possible to correlate the histopathology of all features that are often used as criteria for diagnostic dermoscopy. The black dots were pigmented neoplastic cells at the dermal-epidermal junction (DEJ) and within the epidermis in heavily pigmented columns. Similar findings were seen in brown dots, however there was slightly less pigment. No statistical difference was observed between brown dots and black dots regarding size, area and number of atypical cellnests. Blue dots correlated to melanophages, surrounding the superficial vascular plexus. Depigmentation was characterized by intense fibrosis of the papillary dermis. The pigmented network showed atypical pigmented or non-pigmented melanocytes at the DEJ and epidermis as well as heavily pigmented keratinocytes in the basal cell layer. The radial streaming and pseudopods had neoplastic cells in nests, a stratified growth pattern arranged in centrifugal linear extensions, resembling a arborescent branching. The results represented herein, are an important tool for understanding histopathological alterations responsible for dermoscopic features and for improving the efficacy of this diagnostic method.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.002 | 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".