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Visualization of Spinal Injection Procedures Using Gadolinium Contrast

2003· article· en· W2075974283 on OpenAlexaff
Frank J. E. Falco, Mariam Rubbani

Bibliographic record

VenueSpine · 2003
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsGadoliniumMedicineIodinated contrastFluoroscopyContrast (vision)RadiologyVisualizationNuclear medicineComputed tomography

Abstract

fetched live from OpenAlex

STUDY DESIGN: A series of six case reports. OBJECTIVE: The case reports demonstrate successful use of gadolinium contrast for visualization of spinal injection procedures. SUMMARY OF BACKGROUND DATA: A variety of spinal injection procedures were performed with gadolinium contrast. Adequate visualization was accomplished with gadolinium in performing these injections and demonstrated that it is a viable alternative to nonionic iodinated contrast materials. MATERIALS AND METHODS: The case reports included a chart review, performance of spinal injections with gadolinium under fluoroscopic guidance, and postprocedure follow-up at 2 and 12 weeks. RESULTS: Gadolinium was visible under fluoroscopy in all six cases, demonstrating its value in performing spinal injection procedures as an alternative to nonionic iodinated contrast materials. CONCLUSION: Gadolinium is a viable alternative to nonionic iodinated contrast materials for visualization of spinal injection procedures.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.036
GPT teacher head0.358
Teacher spread0.321 · 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

Citations8
Published2003
Admission routes1
Has abstractyes

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