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Record W1971212714 · doi:10.2967/jnumed.108.058966

In Vivo SPECT Quantification of Transplanted Cell Survival After Engraftment Using <sup>111</sup>In-Tropolone in Infarcted Canine Myocardium

2009· article· en· W1971212714 on OpenAlexafffund
Kimberley J. Blackwood, Benoit Lewden, R. Glenn Wells, Jane Sykes, Robert Z. Stodilka, Gerald Wisenberg, Frank S. Prato

Bibliographic record

VenueJournal of Nuclear Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsWestern UniversityUniversity of OttawaLondon Health Sciences CentreLawson Health Research Institute
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsTropoloneIn vivoNuclear medicineChemistryMedicinePathologyBiology

Abstract

fetched live from OpenAlex

UNLABELLED: Current investigations of cell transplant therapies in damaged myocardium are limited by the inability to quantify cell transplant survival in vivo. We describe how the labeling of cells with (111)In can be used to monitor transplanted cell viability in a canine infarction model. METHODS: We experimentally determined the contribution of the (111)In signal associated with transplanted cell (TC) death and radiolabel leakage to the measured SPECT signal when (111)In-labeled cells were transplanted into the myocardium. Three groups of experiments were performed in dogs. Radiolabel leakage was derived by labeling canine myocardium in situ with free (111)In-tropolone (n = 4). To understand the contribution of extracellular (111)In (e.g., after cell death), we developed a debris impulse response function (DIRF) by injecting lysed (111)In-labeled cells within reperfused (n = 3) and nonreperfused (n = 5) myocardial infarcts and within normal (n = 3) canine myocardium. To assess the application of the modeling derived from these experiments, (111)In-labeled cells were transplanted into infarcted myocardium (n = 4; 3.1 x 10(7) +/- 5.4 x 10(6) cells). Serial SPECT images were acquired after direct epicardial injection to determine the time-dependent radiolabel clearance. Clearance kinetics were used to correct for (111)In associated with viable TCs. RESULTS: (111)In clearance followed a biphasic response and was modeled as a biexponential with a short (T(1/2)(s)) and long (T(1/2)(l)) biologic half-life. The T(1/2)(s) was not significantly different between experimental groups, suggesting that initial losses were due to transplantation methodology, whereas the T(1/2)(l) reflected the clearance of retained (111)In. DIRF had an average T(1/2)(l) of 19.4 +/- 4.1 h, and the T(1/2)(l) calculated from free (111)In-tropolone injected in situ was 882.7 +/- 242.8 h. The measured T(1/2)(l) for TCs was 74.3 h and was 71.2 h when corrections were applied. CONCLUSION: A new quantitative method to assess TC survival in myocardium using SPECT and (111)In has been introduced. At the limits, method accuracy is improved if appropriate corrections are applied. In vivo (111)In imaging most accurately describes cell viability half-life if T(1/2)(l) is between 20 h and 37 d.

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)0.000
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 score0.943
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.278
Teacher spread0.259 · 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

Citations33
Published2009
Admission routes2
Has abstractyes

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