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Record W2101122309 · doi:10.1148/radiol.13130367

Acute Kidney Injury: Arterial Spin Labeling to Monitor Renal Perfusion Impairment in Mice—Comparison with Histopathologic Results and Renal Function

2013· article· en· W2101122309 on OpenAlexaff
Katja Derlin, Song Rong, Michael Mengel, Xueguan Lu, Hermann Haller, Frank Wacker, Martin Meier

Bibliographic record

VenueRadiology · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsThe Metabolomics Innovation CentreUniversity of Alberta
Fundersnot available
KeywordsMedicineAcute kidney injuryRenal functionPerfusionKidneyUrologyRenal blood flowPathologyRenal circulationInternal medicineCardiology

Abstract

fetched live from OpenAlex

PURPOSE: To determine if arterial spin-labeling (ASL) magnetic resonance (MR) imaging can show serial changes in renal perfusion in mice with ischemia-induced acute kidney injury (AKI) and to compare imaging results with those of renal histologic examination and inulin and para-aminohippuric acid (PAH) clearance. MATERIALS AND METHODS: In this animal care committee-approved study, AKI was induced in C57Bl/6 mice (n = 26) by clamping the right renal pedicle for 35 minutes for moderate (n = 16) or 45 minutes (n = 11) for severe AKI. Renal perfusion was measured in 10 animals with moderate and seven animals with severe AKI before and at five time points 1-28 days after surgery by using ASL with a 7-T MR imaging unit. Kidney volume loss and histologic evidence of acute tubular injury were assessed. Inulin and PAH clearance was determined in four animals with moderate and six animals with severe AKI to evaluate renal function and plasma flow for statistical analysis. Repeated measures analysis of variance, unpaired t tests, and correlation analysis were used. RESULTS: Renal perfusion values at day 7 were significantly reduced after moderate (56% ± 8; P < .01) and severe (33% ± 6; P < .001) AKI compared with presurgery values. Renal perfusion had returned to baseline levels at day 21 after moderate (96% ± 14) and remained compromised until day 28 after severe (46 % ± 9; P < .05) AKI. At day 28, for moderate versus severe AKI, kidney volume (84% ± 6 vs 60% ± 5; P < .05), degree of tubular injury (5.6% ± 1.8 vs 15.8% ± 2.4; P < .01), and inulin and para-aminohippuric acid clearance (47.5 µL/min ± 5.6 vs 7.3 µL/min ± 2.7; P < .001 and 100.8 µL/min ± 24.3 vs 4.8 µL/min ± 1.0; P < .001, respectively) were significantly different. Relative renal perfusion at days 7-28 significantly correlated with kidney volume loss (P < .01) and tubular injury (P < .05) 4 weeks after AKI. CONCLUSION: ASL allows evaluation of renal perfusion impairment associated with kidney volume loss and histologic changes after AKI in mice and may serve as a noninvasive biomarker for AKI.

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 score0.748
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.306
Teacher spread0.290 · 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

Citations99
Published2013
Admission routes1
Has abstractyes

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