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Intraoperative Imaging of Pancreas Transplant Allografts Using Indocyanine Green with Laser Fluorescence

2008· article· en· W2095721652 on OpenAlexaboutno aff
Edmund Q. Sanchez, Srinath Chinnakotla, Tariq Khan, Dmitriy Nikitin, Sugam Vasani, Henry B. Randall, Greg J. McKenna, Richard Ruiz, Nicholas Onaca, Marlon F. Levy, Robert M. Goldstein, John C. Docherty, David K. Hurd, Göran B. Klintmalm

Bibliographic record

VenueBaylor University Medical Center Proceedings · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsIndocyanine greenMedicinePancreasAnastomosisTransplantationThrombosisSurgeryPancreas transplantationRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Vascular thrombosis is a cause of allograft loss after pancreas transplantation. We present the use of intraoperative fluorescence imaging with the SPY imaging device (Novadaq Technologies Inc, Toronto, Canada) in two pancreas transplants as a means to assess potency of the vascular anastomoses. Intravenous indocyanine green 2.5 mg/mL was fluoresced with the device to create the intraoperative video sequences, which were recorded. After 60-day follow-up, real-time SPY imaging on these two pancreas transplants did not demonstrate adverse effects on patients or the transplanted allografts. This method of vascular imaging could prove useful in improving short-term graft survival and possibly lowering the thrombosis rates seen with pancreas transplantation. Long-term correlation studies between intraoperative findings and graft survival must be performed to confirm the utility of this imaging method.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.213
Teacher spread0.201 · 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 designObservational
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

Citations12
Published2008
Admission routes1
Has abstractyes

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