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Cerebral microbleeds. Utility of SWI sequences.

L Martínez Camblor1, J M Peña Suárez1, M Martínez-Cachero García1

  • 1Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain.

Radiologia
|July 29, 2023
PubMed
Summary
This summary is machine-generated.

Susceptibility-weighted imaging (SWI) is a superior MRI sequence for detecting cerebral microbleeds (CMBs). SWI aids in diagnosing various neurological conditions and serves as a key biomarker in gliomas and multiple sclerosis.

Keywords:
Cerebral hemorrhageCerebral microbleedsHemorragia cerebralMagnetic resonance imagingMicrohemorragias cerebralesMultiecho gradient recalled echoResonancia magnéticaSecuencia de eco gradienteSecuencias de susceptibilidad magnéticaSusceptibility weighted imaging

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Area of Science:

  • Neuroimaging
  • Radiology
  • Neurology

Background:

  • Cerebral microbleeds (CMBs) are small hemorrhages often detected via MRI.
  • Identifying CMBs is crucial for diagnosing and managing various neurological disorders.

Purpose of the Study:

  • To define cerebral microbleeds (CMBs).
  • To identify optimal MRI sequences for CMB detection.
  • To review conditions associated with CMBs and the utility of susceptibility-weighted imaging (SWI).

Main Methods:

  • Review of MRI sequences for CMB detection.
  • Focus on susceptibility-weighted imaging (SWI) and T2* gradient-echo (GRE) sequences.
  • Analysis of clinical contexts and conditions associated with CMBs.

Main Results:

  • SWI is highly sensitive to magnetic field inhomogeneities caused by substances like blood products.
  • SWI demonstrates superior performance in detecting microhemorrhages compared to T2* GRE sequences.
  • CMBs are observed in diverse neurological conditions, including gliomas and multiple sclerosis.

Conclusions:

  • SWI is an effective MRI sequence for detecting and characterizing microhemorrhages and venous structures.
  • SWI is valuable for assessing CMBs in various neurological conditions.
  • CMBs are significant biomarkers for glioma status and inflammatory activity in multiple sclerosis.