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Record W2566551735 · doi:10.4103/2303-9027.195873

Endoscopic ultrasound features of pancreatic schwannoma

2016· article· en· W2566551735 on OpenAlexaff
Stefano Francesco Crinò, Laura Bernardoni, Erminia Manfrin, Alice Parisi, Armando Gabbrielli

Bibliographic record

VenueEndoscopic Ultrasound · 2016
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsSchwannomaMedicineEndoscopic ultrasoundRadiologyGeneral surgery

Abstract

fetched live from OpenAlex

A 59-year-old female underwent abdominal ultrasound for dyspepsia. A 2 cm pancreatic nodule was incidentally discovered. Computer tomography scanning confirmed a solid mass of the pancreatic uncinate process; at endoscopic ultrasound (EUS) examination, it appeared as a round, well-demarked, solid homogeneous, hypoechoic mass [Figure 1]. In contrast-enhanced EUS (CE-EUS) images, the lesion showed poor contrast intake, with a hypoenhanced pattern compared to the surrounding pancreatic parenchyma [Figure 2]. Fine-needle aspiration (FNA) with a standard 25G needle revealed spindle cells [Figure 3] that expressed S-100 protein, suggestive for schwannoma. Surgical enucleation was performed, and diagnosis was confirmed on a surgical specimen [Figure 4].Figure 1: Linear endoscopic ultrasound demonstrating a solid, homogeneous, well-defined hypoechoic lesion in the uncinate process of the pancreasFigure 2: Contrast-enhanced endoscopic ultrasound showing a hypoenhanced pattern of the tumor compared with the surrounding pancreatic parenchymaFigure 3: Endoscopic ultrasound-guided fine-needle aspiration specimen showing dense fibrillary substance with Antoni A palisading spindle-shaped cells (Papanicolaou, ×40)Figure 4: Surgical specimen histopathology: Solid nodular lesion, surrounded by a fibrous capsule (a), in which the typical hallmark of a schwannoma growth pattern of alternating Antoni A and B areas is clearly visible (b) (EE, ×10). S-100 protein is strongly expressed by schwannoma cells (c)Pancreatic schwannoma is an extremely rare tumor. Complete descriptions of the EUS features or exhaustive EUS images are found in five reports[12345] whereas the CE-EUS pattern is described in a single one[5] [Table 1].Table 1: Main endoscopic ultrasound features of reported pancreatic schwannomasSchwannomas are capsulated tumors that, at imaging, are generally round or oval and show well-defined margins. Histologically, schwannomas comprised two areas: Antoni A, characterized by packed spindle cells and a vascular component, and Antoni B, which is hypocellular and occupied by loose stroma. The latter area may be the subject of degenerative changes, such as cyst formation, hemorrhage, necrosis, and calcification. Cystic degeneration is related to larger sizes and can affect the endosonographic appearance. When it is small (generally <2 cm), schwannoma can appear as a solid homogeneous lesion.[24] The vascular component of the Antoni A area is likely responsible for the poor contrast intake. In our case, as reported by Nishikawa et al.,[5] the lesion was hypoenhanced, compared to the surrounding pancreatic parenchyma; this feature is common to the pancreatic carcinoma from which schwannoma differs in the well-defined margins and the noninfiltrative behavior. Larger schwannomas with cystic changes mimic the whole spectrum of cystic pancreatic lesions. The preoperative diagnosis of cystic neuroendocrine tumor and of solid pseudopapillary neoplasm may be difficult. The hypoenhanced pattern of schwannoma at CE-EUS may help achieve the diagnosis. Targeting the solid component during FNA is mandatory. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations45
Published2016
Admission routes1
Has abstractyes

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