31.3 CLINICAL UTILITY OF MRI SCANNING IN FIRST EPISODE PSYCHOSIS. (1st April 2018)

• Record Type: Journal Article
• Authors: Dazzan, Paola; Reinders, AAT Simone; Shatzi, Vasiliki; Carletti, Francesco; Arango, Celso; Fleischhacker, Wolfgang; Galderisi, Silvana; Mucci, Armida; Glenthoj, Birte; Egerton, Alice; Barker, Gareth; Leucht, Stefan; Meyer-Lindenberg, Andreas; Kahn, René S; Rujescu, Dan; Sommer, Iris; Winter, Inge; McGuire, Philip
• Is Part Of: Schizophrenia bulletin. Volume 44(2018)Supplement 1
• Page Start: S50
• Page End: S51
• Publication Date: 2018-04-01
• Subjects: Schizophrenia -- Periodicals; Schizophrenia -- Research -- Periodicals; 616.898005
• DOI: 10.1093/schbul/sby014.129
• Languages: English
• ISSNs: 0586-7614

Abstract

Abstract: Background: The response to antipsychotic treatment in patients with psychosis is difficult to predict on the basis of the patient's clinical features. As a result, patients are generally treated in a similar way, even though their response can vary dramatically. Recent neuroimaging studies suggest that the pattern of brain abnormalities in patients with psychosis may vary in relation to treatment response. However, in many of these studies, patients had already been treated, and it was unclear if this had contributed to the findings. Methods: In Optimise we obtained a structural Magnetic Resonance Imaging data from n=203 minimally treated patients at their first presentation for a psychotic episode. All patients then started treatment with standard doses of amisulpride. After 4 weeks, 56% were in symptomatic remission. Results: We identified brain neoplasms in 3 patients, but the most common radiological findings were non-specific white matter T2-weighted hyperintensities (n=48); cavum septi pelludici (n=34); and arachnoid cysts (n=9). Cortical thickness, surface area, and gyrification were measured using Freesurfer (). Preliminary analyses applying machine learning to these measures at baseline indicated that symptomatic remission at 4 weeks could be predicted with an accuracy of 64%. Discussion: These findings suggest that radiological assessment can identify abnormalties that require an alternative to conventional treatment in a minority of patients. In most patients with psychosis, neuroimaging abnormalities may be better detected using statistical approaches, and these have greater potential for the stratification of patients according to future antipsychotic response.