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Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients.
Ciritsis, Alexander; Truhn, Daniel; Hansen, Nienke L; Otto, Jens; Kuhl, Christiane K; Kraemer, Nils A.
Afiliação
  • Ciritsis A; Department of Diagnostic and Interventional Radiology, RWTH University Hospital Aachen, Aachen, Germany.
  • Truhn D; Department of Diagnostic and Interventional Radiology, RWTH University Hospital Aachen, Aachen, Germany.
  • Hansen NL; Department of Diagnostic and Interventional Radiology, RWTH University Hospital Aachen, Aachen, Germany.
  • Otto J; Department of General, Visceral and Transplant Surgery, RWTH University Hospital Aachen, Aachen, Germany.
  • Kuhl CK; Department of Diagnostic and Interventional Radiology, RWTH University Hospital Aachen, Aachen, Germany.
  • Kraemer NA; Department of Diagnostic and Interventional Radiology, RWTH University Hospital Aachen, Aachen, Germany.
PLoS One ; 11(5): e0155717, 2016.
Article em En | MEDLINE | ID: mdl-27192201
ABSTRACT
OBJECT In MRI, implants and devices can be delineated via susceptibility artefacts. To discriminate susceptibility voids from proton-free structures, different positive contrast techniques were implemented. The purpose of this study was to evaluate a pulse sequence-based positive contrast technique (PCSI) and a post-processing susceptibility gradient mapping algorithm (SGM) for visualization of iron loaded mesh implants in patients. MATERIAL AND

METHODS:

Five patients with iron-loaded MR-visible inguinal hernia mesh implants were examined at 1.5 Tesla. A gradient echo sequence (GRE; parameters TR 8.3ms; TE 4.3ms; NSA2; FA20°; FOV350mm²) and a PCSI sequence (parameters TR 25ms; TE 4.6ms; NSA4; FA20°; FOV350mm²) with on-resonant proton suppression were performed. SGM maps were calculated using two algorithms. Image quality and mesh delineation were independently evaluated by three radiologists.

RESULTS:

On GRE, the iron-loaded meshes generated distinct susceptibility-induced signal voids. PCSI exhibited susceptibility differences including the meshes as hyperintense signals. SGM exhibited susceptibility differences with positive contrast. Visually, the different algorithms presented no significant differences. Overall, the diagnostic value was rated best in GRE whereas PCSI and SGM were barely "sufficient".

CONCLUSION:

Both "positive contrast" techniques depicted implanted meshes with hyperintense signal. SGM comes without additional acquisition time and can therefore be utilized in every patient.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha