Literature DB >> 25172986

Can MRI related patient anxiety be prevented?

Gokhan Tazegul1, Erkut Etcioglu2, Ferhat Yildiz2, Raif Yildiz2, Davut Tuney3.   

Abstract

PURPOSE: To evaluate the effectivity of a combined intervention of information and communication to reduce magnetic resonance imaging (MRI) anxiety using prolactin and cortisol as biochemical markers and State Trait Anxiety Inventory (STAI).
MATERIALS AND METHODS: This study is a randomized prospective research. Sample size was 33 patients. Fourteen patients were enrolled as study group, compared to 19 patients as control group. Blood samples were collected by venous sampling, and STAI was filled before and after scan. State anxiety inventory was used twice. Study group received a standard information about MRI scans and were communicated with 2 minute intervals via intercom; control group had no intervention. Blood samples were carried in ice to be centrifuged and stored as soon as they were taken to study prolactin and cortisol. Data were stored and analyzed by SPSS 17.0. P value for significance was accepted as 0.05.
RESULTS: Prolactin-pre, prolactin-post, cortisol-pre, cortisol-post, cortisol percent increase, Trait Anxiety Inventory (TAI), SAI (State Anxiety Inventory) pre-scan and post-scan levels were similar between demographic groups. Cortisol-pre levels were similar between study and control, however prolactin-pre levels were significantly higher in control group. Study group had 6% lower cortisol level post-scan, whereas control group had 18% increase. Study and control groups had similar Trait Anxiety and SAI-pre scores. SAI-post scores were lower in study group when compared with control group. Study group also had lower SAI-post scores than SAI-pre, whereas control group had higher.
CONCLUSION: MRI anxiety can be reduced by information and communication. This combined method is shown to be effective and should be used during daily radiology routine.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anxiety; Cortisol; Magnetic resonance imaging; Prolactin; State trait anxiety inventory

Mesh:

Substances:

Year:  2014        PMID: 25172986     DOI: 10.1016/j.mri.2014.08.024

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

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2.  Psychosocial morbidity in TP53 mutation carriers: is whole-body cancer screening beneficial?

Authors:  Kate A McBride; Mandy L Ballinger; Timothy E Schlub; Mary-Anne Young; Martin H N Tattersall; Judy Kirk; Ros Eeles; Emma Killick; Leslie G Walker; Sue Shanley; David M Thomas; Gillian Mitchell
Journal:  Fam Cancer       Date:  2017-07       Impact factor: 2.375

3.  Preparing patients according to their individual coping style improves patient experience of magnetic resonance imaging.

Authors:  Janika E M Madl; Sarah C Sturmbauer; Rolf Janka; Susanne Bay; Nicolas Rohleder
Journal:  J Behav Med       Date:  2022-09-08

4.  Impact of sensory design interventions on image quality, patient anxiety and overall patient experience at MRI.

Authors:  Emma Stanley; Andrea Cradock; James Bisset; Ciara McEntee; Martin J O'Connell
Journal:  Br J Radiol       Date:  2016-09-29       Impact factor: 3.039

5.  A study of the relationship between the level of anxiety declared by MRI patients in the STAI questionnaire and their respiratory rate acquired by a fibre-optic sensor system.

Authors:  Łukasz Dziuda; Piotr Zieliński; Paulina Baran; Mariusz Krej; Lech Kopka
Journal:  Sci Rep       Date:  2019-03-13       Impact factor: 4.379

6.  Exploring the prevalence and experience of mask anxiety for the person with head and neck cancer undergoing radiotherapy.

Authors:  Jodie L Nixon; Bena Cartmill; Jane Turner; Amanda E Pigott; Elizabeth Brown; Laurelie R Wall; Elizabeth C Ward; Sandro V Porceddu
Journal:  J Med Radiat Sci       Date:  2018-10-30

7.  Investigation of the Effect of Written and Visual Information on Anxiety Measured Before Magnetic Resonance Imaging: Which Method is Most Effective?

Authors:  Burkay Yakar; Edibe Pirinçci
Journal:  Medicina (Kaunas)       Date:  2020-03-18       Impact factor: 2.430

  7 in total

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