Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Implementing MR Imaging into Clinical Routine Screening in Patients with Psychosis?
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4607763
Author(s) Schmidt, André; Borgwardt, Stefan
Author(s) at UniBasel Schmidt, André
Year 2020
Title Implementing MR Imaging into Clinical Routine Screening in Patients with Psychosis?
Journal Neuroimaging clinics of North America
Volume 30
Number 1
Pages / Article-Number 65-72
Keywords MR imaging; Psychoradiology; Psychosis
Mesh terms Brain, diagnostic imaging, physiopathology; Early Medical Intervention; Humans; Incidental Findings; Magnetic Resonance Imaging, methods; Prognosis; Psychotic Disorders, diagnostic imaging, physiopathology, therapy
Abstract MR imaging is a suitable instrument for the detection of incidental radiological findings in patients with early psychosis and guidance of subsequent treatment adjustments. We outline evidence showing the clinical utility of MR imaging to guide treatment selection by identifying radiological abnormalities and predicting clinical outcomes in early-stage psychosis. We argue that MR imaging is an indispensable screening tool to detect gross radiological abnormalities in early psychosis and implementation in routine clinical assessments is warranted. We highlight future key challenges and make pragmatic suggestions to exploit the potential of MR imaging to construct robust prognostic models for personalized early interventions.
Publisher W.B. Saunders Co.
ISSN/ISBN 1052-5149 ; 1557-9867
edoc-URL https://edoc.unibas.ch/79802/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.nic.2019.09.004
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/31759573
ISI-Number WOS:000504338300009
Document type (ISI) Journal Article, Review
 
   

MCSS v5.8 PRO. 0.350 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
28/04/2024