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Record W3038823717 · doi:10.1002/jmri.27245

Reduced Flow in Delayed Graft Function as Assessed by <scp>IVIM</scp> Is Associated With Time to Recovery Following Kidney Transplantation

2020· article· en· W3038823717 on OpenAlexafffund
Eyesha Hashim, Darren A. Yuen, Anish Kirpalani

Bibliographic record

VenueJournal of Magnetic Resonance Imaging · 2020
Typearticle
Languageen
FieldMedicine
TopicMRI in cancer diagnosis
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaPhysicians' Services Incorporated FoundationSt. Michael's Hospital Foundation
KeywordsIntravoxel incoherent motionMedicineEffective diffusion coefficientKidney transplantationUrologyNuclear medicineTransplantationDialysisRenal cortexParenchymaKidneyMagnetic resonance imagingRadiologySurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

Background Delayed graft function (DGF), defined as the need for dialysis in the first week after kidney transplantation, frequently complicates posttransplantation care. The most common cause of DGF is ischemia–reperfusion injury (IRI). To date, no clinical tools can accurately estimate its severity, nor the time required for recovery of kidney function. Purpose To investigate if parameters related to directed flow and diffusion of water, as determined by intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI), could be used to differentiate DGF from normal graft function posttransplantation, predict time to recovery from DGF, and hence serve as a surrogate measure of IRI severity. Study Type Prospective, cross‐sectional cohort study. Population Fifty consecutive kidney transplant recipients within 3–10 days posttransplantation at our hospital. Field Strength/Sequence 3.0T/IVIM‐DWI. Assessment The following IVIM‐DWI parameters were studied: flow‐fraction ( f ), apparent diffusion coefficient ( ADC ), and total‐ADC ( ADC T ). Mean intrarenal resistive index (R.I.) from Doppler ultrasound was also included for a comparison of IVIM‐DWI with the clinical standard of care. Statistical Tests Welch's t ‐test, Spearman's correlation, and linear regression. Results f was significantly reduced in DGF compared to non‐DGF patients in the cortex, medulla, and whole renal parenchyma ( P &lt; 0.05). Time to recovery with respect to MRI correlated negatively with f ( P &lt; 0.05; rho = −0.52 (cortex), and −0.65 [parenchyma]), ADC ( P &lt; 0.05; rho = −0.59 [cortex], 0.59 [medulla], and −0.59 [parenchyma]) and ADC T ( P &lt; 0.05; rho = −0.54 [cortex], and −0.52 [medulla]). Whole renal parenchymal f predicted time to recovery relative to MRI ( P &lt; 0.05, adjusted r‐squared = 0.36). R.I. was significantly different between the groups but did not correlate with time to recovery with respect to MRI (rho = 0.43, P = 0.096). Data Conclusion Quantification of renal flow using IVIM‐DWI has the potential to serve as a surrogate measure of IRI severity to estimate the degree of and recovery from DGF. Level of Evidence 2 Technical Efficacy Stage 3

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 designNot applicable
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".

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Citations23
Published2020
Admission routes2
Has abstractyes

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