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Record W4308907872 · doi:10.1016/j.ad.2022.01.052

[Artículo traducido] Bloques celulares obtenidos de la punción-aspiración con aguja fina ecoguiada: rendimiento diagnóstico en una serie de 51 lesiones dermatológicas

2022· review· es· W4308907872 on OpenAlexaff
Alexandra Laverde‐Saad, L. Nájera Botello, Irene Salgüero Fernández, G. Roustán Gullón

Bibliographic record

VenueActas Dermo-Sifiliográficas · 2022
Typereview
Languagees
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsMcGill University
Fundersnot available
KeywordsHistopathologyMedicineConcordanceDermatologyPathologySkin lesionBiopsyCytology

Abstract

fetched live from OpenAlex

La generación de bloques celulares (BC) obtenidos a partir de punción-aspiración con aguja fina guiada por ultrasonido (PAAFUS) es una técnica bien establecida en patología mamaria y tiroidea, pero rara vez se utiliza en dermatología. Revisamos los BC obtenidos por PAAFUS de lesiones cutáneas, que se clasificaron como tumores cutáneos malignos, tumores cutáneos benignos, tumores cutáneos inflamatorios o enfermedades cutáneas por depósito. El rendimiento diagnóstico de cada categoría se comparó con la histopatología. La PAAFUS de 51 lesiones cutáneas se procesó en BC. Hubo concordancia global entre la histopatología y los BC en el 84,31% de los casos. La concordancia entre histopatología y BC para lesiones cutáneas benignas, malignas e inflamatorias y por depósito fue del 69,2%, del 93,7% y del 86,3%, respectivamente. La generación de BC a partir de PAAFUS de lesiones cutáneas debe considerarse como parte del arsenal diagnóstico dermatológico. Se necesita más experiencia para comprender mejor para qué tipos de lesiones dermatológicas estaría claramente recomendado. The generation of cell blocks (CBs) obtained from ultrasound-guided fine needle aspiration biopsies (USFNAB) is a well-established technique in breast and thyroid pathology, but is rarely used in dermatology. We reviewed CBs obtained from USFNAB of skin lesions, which were categorized as malignant skin tumors, benign skin tumors, inflammatory skin tumors or deposit skin diseases. The diagnostic yield of each category was compared to histopathology. The USFNAB of 51 skin lesions was processed into CBs. There was overall agreement between histopathology and CBs in 84.31% of cases. Diagnostic group concordance for benign, malignant as well as inflammatory and deposit skin lesions were 69.2%, 93.7% and 86.3% respectively. Cell block generation from USFNAB aspirates of skin lesions should be considered as part of the dermatologic diagnostic armamentarium. Further experience is needed to better understand for which types of dermatologic lesions it would be clearly indicated.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.034
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.002
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0340.015

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.

Opus teacher head0.037
GPT teacher head0.363
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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