When the ‘Ugly Duckling' Loses Brothers, It Becomes the ‘Only Son of a Widowed Mother'
Bibliographic record
Abstract
Dermoscopy represents a pivotal tool for improving the clinician's sensitivity and specificity in diagnosing melanoma [1,2,3]. However, in some cases, the clinical, naked eye examination might be adequate per se to detect melanoma. One of the most helpful clinical criteria is the ‘ugly duckling sign' [4]. The latter refers to the observation that the majority of a given individual's nevi share common morphological features (like brothers do). Instead, melanoma does not follow this ‘signature pattern' and can often be diagnosed before developing evident criteria, exclusively on the basis of its different morphology, compared to the majority of the benign moles.Since the nevus count decreases after the fourth decade of life [5], the ugly duckling sign is often not applicable to elderly patients who usually present with only few, mainly banal intradermal nevi. During our daily practice with patients over the fifth decade of life, we experienced several cases of melanoma which presented as flat, solitary lesions, dermoscopically typified by a relative lack of diagnostic clues of malignancy (fig. 1, 2). Because these lesions were solitary in a given body segment, we named this criterion as the ‘only son of a widowed mother', referring to an old Italian military saying, as if the ugly duckling had lost its brothers. Aware of this new descriptor, we reviewed all melanomas diagnosed from January to December 2014 at our tertiary referral center, focusing on the main reason that led to their removal. We found that 10 (6.1%) of 164 melanomas (8 in situ melanomas and 2 invasive melanomas with a thickness of 0.7 and 0.9 mm) were removed because they were ‘only sons of a widowed mother'. These 10 melanomas were found in 9 patients, 6 men and 3 women, with a mean age of 72 years. The lesions were mainly located on the limbs (8 lesions) and relatively large (diameter greater than 6 mm in 9 lesions), with light brown color (6 lesions), and regular pigment distribution (8 lesions). Dermoscopically, all these melanomas showed a reticular pattern, mostly characterized by a typical pigment network with regular meshes (in only 3 lesions was the network slightly focally prominent), overall not suggestive of melanoma.As a rule, dermoscopy represents the ultimate tool to detect melanoma at an early stage, before acquiring clinically evident characteristics. However, this small series suggests that, in some cases, a clinical clue might be more useful than dermoscopic examination. In patients over 50 years of age, an acquired, flat pigmented lesion, found as a solitary element in a given body segment, and dermoscopically typified by a reticular pattern, should be carefully evaluated and eventually excised to rule out melanoma, even in the absence of melanoma-specific criteria.All authors are without conflicts of interest to declare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".