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Contribution of reperfusion hemorrhage to T2 and T2* CMR in the quantification of hemorrhage extent and area-at-risk after acute myocardial infarction

2013· article· en· W59042456 on OpenAlexaff
Nilesh R. Ghugre, Mohammad I. Zia, Idan Roifman, Bradley H. Strauss, Kim A. Connelly, Graham Wright

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsSt. Michael's HospitalHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineAngiologyMyocardial infarctionPercutaneous coronary interventionCardiologyMagnetic resonance imagingInternal medicineRadiology

Abstract

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In acute myocardial infarction (AMI), reperfusion injury is often associated with hemorrhage and microvascular obstruction (MVO), which are independent predictors of poor patient outcomes. T2 and T2* cardiovascular magnetic resonance (CMR) approaches have been instrumental in detecting hemorrhage; however, the relative sensitivity of each of these measures remains to be investigated. In this patient study, our objective was to quantitatively compare the extent of hemorrhage relative to the area-at-risk (AAR) post-AMI using T2 and T2* mapping techniques. 50 patients with STEMI underwent a CMR exam on a 1.5T scanner (GE Signa Excite) at 48 hrs post percutaneous-coronary-intervention. T2 was quantified using a cardiac-gated T2-prepared spiral imaging sequence (TE=2.9-184 ms). T2* was determined from a multi-echo gradient-echo acquisition (TE=1.4-12.7 ms). Infarct/MVO was assessed using early gadolinium enhancement (EGE) imaging. Using T2* maps, hemorrhage extent was quantified as the region where T2* was at least two standard deviations (SD) below that in remote myocardium. From T2 maps, AAR was determined as the region where T2 was at least two SD above that in remote myocardium. Any ‘signal voids' within this area were identified as hemorrhage and the computed AAR was accordingly corrected. T2 and T2* values were recorded in these regions. Areas were expressed as a percentage of LV myocardium. Only patients with MVO were included in the analysis since hemorrhage is typically associated with an MVO. 19 patients (38%) presented with an MVO. Hemorrhage extent determined by T2 was significantly less than that computed from T2* (4.1±2.8% vs. 10.0±7.5%, p=0.001). AAR assessed by T2 was underestimated if the hemorrhagic region was not accounted for (28% vs 32%, p<0.0001). Hemorrhage extent, by both T2 and T2*, demonstrated linear relationship with AAR (Fig. 1a ), although slope of the T2*-AAR relationship was nearly three-fold greater than T2. In regions identified as hemorrhage, both T2 and T2* values were significantly lower than remote myocardium (Fig. 1b ); however, the change was more dramatic in T2* (40%) than in T2 (4%). T2 was significantly elevated in the AAR (edema) and differences in T2 were also apparent in AAR and AAR excluding hemorrhagic regions (Fig. 1a ). Fig. 2 shows an example from a representative patient. (a) Plot demonstrates relationship between percent hemorrhage as quantified from T2 and T2* maps and area-at-risk (AAR) computed from T2 maps. (b) Bar plot shows T2 and T2* relaxation times in various regions of the myocardium. Error bars represent standard deviation. Representative short-axis images from a patient who underwent a CMR exam at 48 hrs post percutanious coronary intervention (PCI). Early gadolinium enhancement demonstrates a large transmural infarction with MVO in the left circumflex territory (c). The T2* map (a) quantified intramyocardial hemorrhage as hypointense regions (d) while the T2 map (b) identified hypointense regions (e) within the area-at-risk (AAR) shown in (f). T2* appears to be a more sensitive and specific indicator of hemorrhage. T2 underestimates the hemorrhage extent and AAR due to counteracting influence from edema. In patients with MVO/hemorrhage, both T2 and T2* imaging may be necessary to accurately quantify hemorrhage extent and AAR.

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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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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 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".

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Citations0
Published2013
Admission routes1
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