PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 23, 2014Journal of Cardiovascular Magnetic Resonance227 citationsOpen Access

Native T1-mapping detects the location, extent and patterns of acute myocarditis without the need for gadolinium contrast agents

VFVanessa M. FerreiraSPStefan K. PiechnikEDErica Dall’Armellina

Key Result

Native T1-mapping detected acute myocarditis with an AUC of 0.94, demonstrating superior diagnostic performance to T2-weighted imaging and identifying larger areas of myocardial involvement without the need for contrast agents.

Key Points

  • The aims were to quantify myocardial injury patterns in acute myocarditis using native T1-mapping without contrast agents.
  • Studied 60 patients with suspected acute myocarditis and 50 controls using CMR (1.5 T)
  • Utilized dark-blood T2W imaging, native T1-mapping (ShMOLLI), and LGE for analysis
  • Measured global myocardial T2 signal intensity, myocardial T1 times, and areas of injury by different imaging methods.
  • Patients had higher edema with global myocardial T2 SI ratio 1.71 ± 0.27 vs. 1.56 ± 0.15
  • Mean myocardial T1 was higher at 1011 ± 64 ms vs. 946 ± 23 ms compared to controls
  • T1-mapping detected larger areas of injury, with median values of 32% vs. 0.7% compared to T2W (p < 0.001).

Study Design

Type

Observational (n=110)

Multicenter

Yes

Structured PICO

Does native T1-mapping without gadolinium contrast improve the detection and characterization of myocardial injury compared to conventional T2-weighted and LGE imaging in patients with suspected acute myocarditis?

P
Population
110 subjects, comprising 60 patients with suspected acute myocarditis and 50 healthy controls, underwent cardiovascular magnetic resonance imaging to evaluate the diagnostic performance of native T1-mapping.
E
Exposure
Native T1-mapping (Shortened Modified Look-Locker Inversion recovery [ShMOLLI] sequence) using 1.5 Tesla cardiovascular magnetic resonance (CMR) without the administration of gadolinium contrast agents.
C
Comparator
Conventional cardiovascular magnetic resonance techniques: dark-blood T2-weighted (T2W) imaging (STIR sequence) and late gadolinium enhancement (LGE) imaging (requiring 0.13 mmol/kg intravenous Gadodiamide contrast).
O
Outcome
Detection of the location, extent, and patterns of acute myocardial injury (measured by global myocardial T2 signal intensity ratio, myocardial T1 times, and areas of injury by T2W, T1-mapping, and LGE).surrogate

Native T1-mapping provides a highly sensitive, contrast-free alternative to LGE for detecting and quantifying myocardial injury in acute myocarditis, identifying additional cases missed by conventional imaging.

Main Result

Absolute Event Rate: 0.94% vs 0.76%

p-value: p=<0.05

Limitations

  • Lack of direct histopathologic correlation via endomyocardial biopsy
  • Study protocol did not include early gadolinium enhancement (EGE)
  • T1-thresholds for distinguishing disease from normal may be platform-specific
  • Incremental T1 thresholds were not directly validated against severity of tissue injury

Abstract

BACKGROUND: Acute myocarditis can be diagnosed on cardiovascular magnetic resonance (CMR) using multiple techniques, including late gadolinium enhancement (LGE) imaging, which requires contrast administration. Native T1-mapping is significantly more sensitive than LGE and conventional T2-weighted (T2W) imaging in detecting myocarditis. The aims of this study were to demonstrate how to display the non-ischemic patterns of injury and to quantify myocardial involvement in acute myocarditis without the need for contrast agents, using topographic T1-maps and incremental T1 thresholds. METHODS: We studied 60 patients with suspected acute myocarditis (median 3 days from presentation) and 50 controls using CMR (1.5 T), including: (1) dark-blood T2W imaging; >(2) native T1-mapping (ShMOLLI); (3) LGE. Analysis included: (1) global myocardial T2 signal intensity (SI) ratio compared to skeletal muscle; (2) myocardial T1 times; (3) areas of injury by T2W, T1-mapping and LGE. RESULTS: Compared to controls, patients had more edema (global myocardial T2 SI ratio 1.71 ± 0.27 vs.1.56 ± 0.15), higher mean myocardial T1 (1011 ± 64 ms vs. 946 ± 23 ms) and more areas of injury as detected by T2W (median 5% vs. 0%), T1 (median 32% vs. 0.7%) and LGE (median 11% vs. 0%); all p 990 ms (sensitivity 90%, specificity 88%) detected significantly larger areas of involvement than T2W and LGE imaging in patients, and additional areas of injury when T2W and LGE were negative. T1-mapping significantly improved the diagnostic confidence in an additional 30% of cases when at least one of the conventional methods (T2W, LGE) failed to identify any areas of abnormality. Using incremental thresholds, T1-mapping can display the non-ischemic patterns of injury typical of myocarditis. CONCLUSION: Native T1-mapping can display the typical non-ischemic patterns in acute myocarditis, similar to LGE imaging but without the need for contrast agents. In addition, T1-mapping offers significant incremental diagnostic value, detecting additional areas of myocardial involvement beyond T2W and LGE imaging and identified extra cases when these conventional methods failed to identify abnormalities. In the future, it may be possible to perform gadolinium-free CMR using cine and T1-mapping for tissue characterization and may be particularly useful for patients in whom gadolinium contrast is contraindicated.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ferreira et al. (2014) conducted an observational in Acute myocarditis (n=110). Native T1-mapping vs. T2-weighted imaging was evaluated on Detection of acute myocarditis (AUC) (p=<0.05). Native T1-mapping detected acute myocarditis with an AUC of 0.94, demonstrating superior diagnostic performance to T2-weighted imaging and identifying larger areas of myocardial involvement without the need for contrast agents.

synapsesocial.com/papers/6a2c8fa7e43f0e96c7136038https://doi.org/10.1186/1532-429x-16-36
Ask AI
Helpful
Bookmark
Share
View Full Paper