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Childhood ganglioneuroma

2018· article· en· W7148920733 on OpenAlexaff
Mohamed Fawzy, Hossam El Zomor, Naglaa A.E. EL Kinaai Mostafa, Gehad Taha, Sara Abdelalim, Amal Refaat, May E. Amr, Maged El-Shafiey

Bibliographic record

VenueEgyptian Journal of Pathology · 2018
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsGanglioneuromaGanglioneuroblastomaBiopsyResectionSurgical excisionCancer

Abstract

fetched live from OpenAlex

Background Ganglioneuroma (GN) is an uncommon benign neuroblastic tumor. They can arise de novo or from spontaneous or therapy-induced differentiation. Surgical excision is the treatment of choice with no role for chemotherapy. Ganglioneuroblastoma (GNB) is the intermediate part of the spectrum. Ganglioneuroblastoma intermixed (GNBi) is always favorable with many studies relating its behavior and management to GN. GN can be the dominant pathology of GNB on a core or an open biopsy material. Resection specimen can reveal immature neuroblasts and/or neuropil reclassifying the diagnosis to malignant GNB, whether nodular or intermixed, with further re-evaluation for risk stratification and biologic state. Aim The aim of this study was to evaluate the clinicopathologic features and outcome of ganglioneuromatous tumor. The study also included cases that were initially diagnosed as GN on a biopsy material and was reclassified as GNB on resection or open biopsy material. The study highlights the impact of missampling on reclassification with comparison of clinicopathologic features and outcome of the latter. Patients and methods The study included cases that were diagnosed as GN at the Children’s Cancer Hospital Egypt 57357 during the period from July 2007 to July 2017. The study also included cases that were diagnosed as GN on biopsy material and was reclassified as GNB. Results A total of 1429 patients were diagnosed as having neuroblastic tumors, of which 29 (2.02%) patients were diagnosed as GN. GN patients had an age range from 31.2 to 147.6. Men dominated over women (72.4%), extra-adrenal location being 65.5%. Six (20.7%) patients had intraspinal extension. As for surgery, 13 (86.6%) patients had complete mass resection and two (13.3%) patients had incomplete removal. Fourteen (48.3%) patients did not have surgery. GN cases that were reclassified to GNB had an age range from 19.2 to 199.2 months. Women (79.2%) were more than men (20.8%). Twenty-one (87.5%) patients had extra-adrenal location. Ten (41.6%) patients showed intraspinal extension. Fourteen (58.3%) cases had total mass resection and 10 (41.7%) had incomplete mass resection. None of the examined bone marrow cases showed infiltration by malignant cells nor had NMYC gene amplification. Follow-up for the two groups were excellent with 3-year overall survival of 100% for GN patients, 100% for GNBi cases, and 95.8% for all GNB cases. Conclusion GN has very good outcome with or without surgical removal of the mass. GNBi also presents nearly the same clinicopathologic features, with same favorable outcome even in cases showing incomplete resection.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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 designCase report
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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