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A Novel Method to Radiolabel Stealth Liposome through 1,2- dimyristoyl-sn-glycero-3-phosphoethanolamine-N-DTPA with 99mTc and Biological Evaluation

2013· article· en· W2133361357 on OpenAlexvenueno aff
Mirel Cabrera, Nicole Lecot, María J. Moreno‐Aliaga, José A. Chabalgoity, Juan Gambini, Ómar Alonso, Henia Balter, Pablo Cabral

Bibliographic record

VenueJournal of Analytical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsnot available
FundersAgencia Nacional de Investigación e Innovación
KeywordsBiodistributionLiposomeChemistryIn vivoMelanomaPEG ratioRadiochemistryTechnetiumIn vitroBiophysicsBiochemistryCancer researchMedicineNuclear chemistryBiology

Abstract

fetched live from OpenAlex

Purpose: To study surface technetium labeling of stealth DTPA-Liposomeand to evaluate its potential as a molecular imaging tracer for both normal and melanoma-bearing mice. The radiolabeling yield of liposomes was greater than 90%and showed good chemical and biological stability. Biodistribution studies in normal mice showed blood clearance with hepatic and renal depuration. Melanoma-bearing mice showed a similar pattern of biodistribution with high tumor uptake allowing tumor imaging. The developed method of surface radiolabeled DTPA-PEG-Liposomes with 99mTc was effective and stable in vivo.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.767
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.438
Teacher spread0.340 · 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 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

Citations2
Published2013
Admission routes1
Has abstractyes

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