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Record W2331625369 · doi:10.1097/rli.0b013e31829d0414

T2 Relaxation Time and Apparent Diffusion Coefficient for Noninvasive Assessment of Renal Pathology After Acute Kidney Injury in Mice

2013· article· en· W2331625369 on OpenAlexaff
Katja Hueper, Song Rong, Marcel Gutberlet, Dagmar Hartung, Michael Mengel, Xia Lu, Hermann Haller, Frank Wacker, Martin Meier, Faikah Gueler

Bibliographic record

VenueInvestigative Radiology · 2013
Typearticle
Languageen
FieldMedicine
TopicMRI in cancer diagnosis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePathologyEdemaEffective diffusion coefficientMagnetic resonance imagingFibrosisAcute kidney injuryKidneyInfiltration (HVAC)MedullaRadiologyInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Renal ischemia reperfusion injury leads to acute kidney injury (AKI) and is associated with tissue edema, inflammatory cell infiltration, and subsequent development of interstitial renal fibrosis and tubular atrophy. The purpose of this study was to investigate the value of the functional magnetic resonance imaging (MRI) techniques, T2 mapping, and diffusion-weighted imaging (DWI) in characterizing acute and chronic pathology after unilateral AKI in mice. MATERIALS AND METHODS: Moderate or severe AKIs were induced in C57Bl/6 mice through transient unilateral clamping of the renal pedicle for 35 minutes (moderate AKI) or 45 minutes (severe AKI), respectively. Magnetic resonance imaging was performed in 10 animals with moderate AKI and 7 animals with severe AKI before surgery and at 5 time points thereafter (days 1, 7, 14, 21, 28) using a 7-T magnet. Fat-saturated T2-weighted images, multiecho turbo spin echo, and diffusion-weighed sequences (7 b values) were acquired in matching coronal planes. Parameter maps of T2 relaxation time and apparent diffusion coefficient (ADC) were calculated, and mean values were determined for the renal cortex, the outer medulla, and the inner medulla. Inflammatory cell infiltration with monocytes/macrophages (F4/80), T-lymphocytes (CD4, CD8), and dendritic cells (CD11c) as well as the degree of interstitial fibrosis 4 weeks after AKI were determined through renal histology and immunohistochemistry. Statistical analysis comprised unpaired t tests for group comparisons and correlation analysis between MRI parameters and kidney volume loss. RESULTS: Increase of T2 relaxation time, indicating tissue edema, was most pronounced in the outer medulla and reached maximum values at d7 after AKI. At this time point, T2 values in the outer medulla were significantly increased to 53.8 ± 2.5 milliseconds after the severe AKI and to 46.3 ± 2.3 milliseconds after the moderate AKI when compared with the respective contralateral normal kidneys (40.9 ± 0.9 and 36.4 ± 1.2 milliseconds, respectively; P < 0.01). The T2 values reached baseline by d28. Medullary ADC was significantly reduced at all time points after AKI; restriction of diffusion was significantly more pronounced after the severe AKI than after the moderate AKI at d14 and d28. Changes of renal T2 and ADC values were associated with the severity of AKI as well as the degree of inflammatory cell infiltration and interstitial renal fibrosis 4 weeks after AKI. Furthermore, relative changes of both MRI parameters significantly correlated with kidney volume loss 4 weeks after AKI. DISCUSSION: Measuring T2 and ADC values through MRI is a noninvasive way to determine the presence and severity of acute and chronic renal changes after AKI in mice. Thus, the method should prove useful in animal and human clinical studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.294
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), 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".

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Citations110
Published2013
Admission routes1
Has abstractyes

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