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Twice Operations for Parotid Metastasis of Nasopharyngeal Carcinoma Patient after Radical Intensity-Modulated Radiotherapy: A Case Report

2017· article· en· W2786297490 on OpenAlexvenueno aff
Guangmou Tan, Weiquan Chen, Xiaojun Tan, Haiyan Huang, Ke Liu, Hong Yang

Bibliographic record

VenueJournal of cancer research updates · 2017
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsParotid glandMedicineNeck dissectionNasopharyngeal carcinomaRadiation therapyMetastasisLymph node metastasisDissection (medical)RadiologyLymph nodeSurgeryCarcinomaCancerPathologyInternal medicine

Abstract

fetched live from OpenAlex

The surgery treatment of parotid metastasis of nasopharyngeal carcinoma (NPC) after parotid-gland-sparing IMRT is rare report. We present such a case of NPC patient cT2N2M0 with parotid lymph node metastasis after parotid-gland-sparing IMRT patient who accepted the second operation after the first failure parotid section. This case reminded us that neck dissection added the whole parotid gland resection may be an appropriate method to treat this type of patients.

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)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.004
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 head0.084
GPT teacher head0.440
Teacher spread0.356 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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