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Record W1979296287 · doi:10.1259/dmfr/56740531

Fibrous dysplasia in a Hong Kong community: the clinical and radiological features and outcomes of treatment

2009· article· en· W1979296287 on OpenAlexaff
D S MacDonald-Jankowski, T K Li

Bibliographic record

VenueDentomaxillofacial Radiology · 2009
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsUniversity of British Columbia
FundersUniversity of Hong Kong
KeywordsRadiological weaponMedicineMaxillaRadiographyFibrous dysplasiaPresentation (obstetrics)DysplasiaHamartomaDifferential diagnosisMandible (arthropod mouthpart)DentistryRadiologyPediatricsSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the principal clinical and radiological features of a consecutive series of cases of fibrous dysplasia (FD) affecting a Hong Kong Chinese community and to determine their outcome by follow-up. METHODS: All cases were accompanied by appropriate radiography and were histopathologically confirmed as fibro-osseous lesions. RESULTS: The clinical and radiological presentations, differential diagnoses and outcomes of follow-up of 21 consecutive FD cases were reviewed. Females were slightly more frequently affected, but there was no gender predilection for either jaw. The mean age at first presentation was 25 years, which upon adjustment for prior awareness fell to 21 years. The main symptom was swelling (including enlargement of the jaw). The maxilla and mandible were affected in 9 and 13 cases, respectively; both jaws were affected in 1 case. One case was of McCune-Albright syndrome. The sole provisional diagnosis for all lesions was FD; most lesions affected all or almost half the affected jaw. 17 patients were followed-up for a mean of 9 years. CONCLUSIONS: This very detailed consecutive series followed up over many years, in which a number of cases recurred or were reactivated in adulthood, firmly dispells the notion that FD is a simple hamartoma in all cases. This community was quite amenable to really long-term follow-up.

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 score0.056
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.356
Teacher spread0.315 · 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

Citations43
Published2009
Admission routes1
Has abstractyes

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