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Tumors of the orbit and periorbital region: 20-year experience of the N.N. Blokhin National Medical Research Center of Oncology

2025· article· en· W4406844193 on OpenAlexaff
T. R. Andreev, М. А. Кропотов, R. I. Azizyan, А. М. Мудунов, В. З. Доброхотова

Bibliographic record

VenueHead and neck tumors (HNT) · 2025
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsOrbit (dynamics)Center (category theory)MedicineMedical physicsGeneral surgeryEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

Introduction. Neoplasms of the orbit and periorbital region are usually represented by tumors of the eyelid skin skin of the periorbital region and paranasal mucosa. The most common histological types of this pathology are squamous cell and basal cell carcinomas. The main indications for orbital exenteration are tumor lesions in the extraocular muscles and orbital apex and irreversible vision loss in the affected eye at the time of surgery planning. In the absence of these pathologies organ-sparing surgery is recommended. Resection of orbital and periorbital tumors (including orbital exenteration) leads to cosmetic and functional defects therefore surgical treatment of this area should be performed only if other methods are impossible or ineffective.Aim. To analyze the experience of resection of orbital and periorbital tumors and to evaluate short- and long-term results of surgical treatment of this pathology.Materials and methods. Retrospective analysis of patients with tumors of the orbit and periorbital region who underwent organ-sparing and exenteration surgeries between 2003 and 2023 was performed.Results. Overall 5-year survival was 55 %. It varied depending on a number of factors. The best 5-year survival rates were observed for basal cell carcinoma of the eyelid skin and periorbital region (83 %) the worst for squamous cell carcinoma (34 %) and melanoma (41 %). For localized tumors (Т1) overall survival was 76 % for locally advanced (Т4) – 43 %.Conclusion. Orbital and periorbital neoplasms are characterized by a variety of tumor morphological types and locations which requires multidisciplinary approach to treatment and rehabilitation of patients with this pathology.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

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

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 head0.042
GPT teacher head0.368
Teacher spread0.327 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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