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Record W2039415707 · doi:10.1080/08941930500248946

CT-Directed Microcoil Localization of Small Peripheral Lung Nodules: A Feasibility Study in Pigs

2005· article· en· W2039415707 on OpenAlexaff
Dalbhir Jangra, Tom Powell, Steve E. Kalloger, Humberto Lara Guerra, Joanne Clifton, Harvey O. Coxson, Richard J. Finley, John R. Mayo

Bibliographic record

VenueJournal of Investigative Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia HospitalUniversity of British Columbia
Fundersnot available
KeywordsMicrocoilMedicinePneumothoraxHemothoraxRadiologyWedge resectionLungNodule (geology)Pleural cavityResectionNuclear medicineSurgeryElectromagnetic coilInternal medicine

Abstract

fetched live from OpenAlex

Platinum microcoils were placed in porcine lungs to determine the feasibility for use as a lung nodule marker. Using computed tomography (CT) guidance, the microcoils were successfully deployed in 17 out of 19 attempts. Coil deployment depth ranged from 7 mm to 34 mm below the pleural surface. Moderate pneumothorax was detected after 3 of 19 microcoil insertions. No hemothorax or significant pulmonary hemorrhage was noted. Fluoroscopic guided thoracoscopic resection was successful in 10 of 12 attempts. Platinum microcoils can be safely and easily deployed into the lung parenchyma with minimal complication risk, and can be used to guide subsequent thoracoscopic wedge 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.309
Teacher spread0.261 · 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 designBench or experimental
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

Citations15
Published2005
Admission routes1
Has abstractyes

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