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Record W2936230759 · doi:10.1097/mph.0000000000001457

Osteopoikilosis With Germline LEMD3 Mutation Mimicking Bone Metastases in a Girl With a Concurrent Secreting Mixed Germ Cell Tumor

2019· article· en· W2936230759 on OpenAlexaff
Maria G. Correa Llano, Jaume Mora, Ferrán Torner, E. Inarejos, Ofelia Cruz

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDermatological and Skeletal Disorders
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsPathologyBone metastasisBone scintigraphyMetastasisAxial skeletonAsymptomaticGermline mutationMedicineGerm cellGerm cell tumorsChemotherapyBiologyCancerRadiologyMutationInternal medicineAnatomy

Abstract

fetched live from OpenAlex

Osteopoikilosis (OPK) is a rare, benign, asymptomatic bone disease causing dense bone lesions, which could be interpreted as bone metastasis. The symmetric distribution, lack of bone destruction, and location differentiate OPK from metastatic disease. It is essential to be aware of this benign condition to prevent diagnostic errors. We present the case of a 10-year-old female patient with the concurrent diagnosis of secreting mixed germ cell tumor with Yolk Salk Tumor compound and OPK. Physical examination disclosed an abdominal mass, and blood tests showed increased alfa-fetoprotein and human chorionic gonadotropin levels. Computed tomography revealed a pelvic tumor associated with multiple radiodense lesions distributed throughout the bone skeleton. Lesions were inactive on scintigraphy and FDG-PET. Pathology of the bone showed normal bone tissue and ruled out metastasis. The patient achieved complete remission after chemotherapy and surgery and remains in continued complete remission 28 months from diagnosis. The genetic analysis confirmed the LEMD3 germline mutation confirming OPK.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.007
GPT teacher head0.249
Teacher spread0.241 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Hematology/OncologySame topicDermatological and Skeletal DisordersFrench-language works237,207