Impact of extended pre-scan written instructions on motion artifacts during head magnetic resonance imaging.

magnetic resonance imaging (MRI) motion artifacts pre-scan written instructions

Journal

Journal of medicine and life
ISSN: 1844-3117
Titre abrégé: J Med Life
Pays: Romania
ID NLM: 101477617

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 28 04 2022
accepted: 17 06 2022
entrez: 23 11 2022
pubmed: 24 11 2022
medline: 25 11 2022
Statut: ppublish

Résumé

This study aimed to assess the effect of extending pre-scan written instructions to patients undergoing head magnetic resonance imaging (MRI) examinations on motion artifacts. A controlled study was conducted in King Fahad Hospital at the Department of Radiology. A total of 100 patients were involved: 50 received only routine oral hospital instructions (control group), and another 50 received pre-scan extended written instructions besides routine oral hospital instructions (intervention group). The head MRI images were assessed regarding motion artifacts. Informed consent was obtained from all patients included in the study. The incidence of motion artifacts was significantly less in the intervention group than in the control group, 10% and 58%, respectively (p-value=0.001). The motion artifacts decreased significantly in the intervention group compared to the control group. Extending written information before an MRI scan could significantly reduce motion artifacts and improve image quality.

Identifiants

pubmed: 36415520
doi: 10.25122/jml-2022-0133
pii: JMedLife-15-1181
pmc: PMC9635239
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1181-1183

Informations de copyright

©2022 JOURNAL of MEDICINE and LIFE.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Suliman Salih (S)

Department of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.

Osamah Abdulaal (O)

Department of Diagnostic Radiologic Technology, Faculty of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.

Moawia Gameraddin (M)

Department of Diagnostic Radiologic Technology, Faculty of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.

Mustafa Alhasan (M)

Radiologic Technology Program, Applied Medical Sciences College, Jordan University of Science and Technology, Irbid, Jordan.

Mohamed Hasaneen (M)

Department of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.

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Classifications MeSH