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1.
Orphanet J Rare Dis ; 16(1): 405, 2021 09 29.
Article in English | MEDLINE | ID: mdl-34587975

ABSTRACT

BACKGROUND: Sarcoidosis is a systemic granulomatous disease affecting different organs including the heart. Myocardial strain analysis could potentially detect the early stages of cardiac dysfunction in sarcoidosis patients. The present study aims to assess the use of cardiac magnetic resonance (CMR) strain analysis using feature tracking (FT) in the detection of early cardiac involvement in asymptomatic patients with sarcoidosis. METHODS: One hundred and thirteen CMR studies of patients with sarcoidosis of the respiratory tract and/or extrapulmonary sarcoidosis without pre-existing known cardiovascular disease were included in the study and analysed using FT and compared to 22 age and gender-matched controls. Global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS) of the left ventricle (LV) were measured. RESULTS: The sarcoidosis patients did not significantly differ from the controls in basic demographic data and had normal global and regional systolic LV function-LV ejection fraction (EF) 66 ± 7% vs 65 ± 5% in the controls (p = NS). No statistically significant differences were found in all strain parameters between patients and controls: GLS (- 13.9 ± 3.1 vs. - 14.2 ± 2.5), GCS (- 23.4 ± 4.0 vs. - 22.2 ± 2.9) and GRS (53.4 ± 13.5 vs. 51.2 ± 13.6%) (p = NS). CONCLUSION: Patients with sarcoidosis of the respiratory tract and/or extrapulmonary sarcoidosis had normal myocardial deformation measured by CMR-FT derived global strain.


Subject(s)
Heart Ventricles , Sarcoidosis , Heart Ventricles/diagnostic imaging , Humans , Magnetic Resonance Imaging, Cine , Respiratory System , Sarcoidosis/diagnostic imaging , Ventricular Function, Left
2.
J Neural Transm (Vienna) ; 124(5): 551-557, 2017 05.
Article in English | MEDLINE | ID: mdl-28271290

ABSTRACT

While previous studies suggested that perfusion abnormalities in Parkinson's disease (PD) are driven by dementia, our study aimed to identify perfusion underpinning of cognitive alteration in non-demented PD patients. Cerebral blood flow was measured using arterial spin labelling (ASL) in 28 PD patients (age 65 years ± 9.9 SD) and 16 age-matched healthy controls (HC) (age 65 years ± 7.8 SD), who also underwent neurological and cognitive testing. The 3D pseudocontinuous ASL and T2-weighted scans from 22 PD patients and 16 HC were analysed in a voxel-wise manner using SPM8 software. Associations between the ASL values in volumes of interest (VOIs) and behavioural and cognitive measures were assessed by Spearman correlation analysis. Posterior cortical hypoperfusion was found in PD patients compared to HC in the left supramarginal gyrus/superior temporal gyrus (VOI1) and left posterior cingulate/precuneus (VOI2). Positive correlation was revealed between perfusion in the VOI2 and Addenbrooke's Cognitive Examination Revised (ACE-R) scores after filtering out the effect of age, levodopa equivalent dose (LED), and total intracranial volume (TIV) (R = 0.51, p = 0.04). Conversely, negative correlation between VOI1 and ACE-R was detected (R = -0.62, p = 0.01) after regressing out the effects of motor impairment, age, LED, and TIV. In non-demented subjects with PD, blood flow abnormalities in precuneus/posterior cingulate were linked to the level of motor impairment and global cognitive performance. Oppositely, perfusion abnormalities in supramarginal gyrus might serve as a compensatory mechanism for brain degeneration and decreased cognitive performance.


Subject(s)
Cerebral Cortex/diagnostic imaging , Cerebrovascular Disorders/diagnostic imaging , Magnetic Resonance Imaging , Parkinson Disease/diagnostic imaging , Aged , Cerebral Cortex/physiopathology , Cerebrovascular Circulation/physiology , Cerebrovascular Disorders/physiopathology , Cross-Sectional Studies , Female , Humans , Image Processing, Computer-Assisted , Imaging, Three-Dimensional , Male , Motor Activity , Parkinson Disease/physiopathology , Parkinson Disease/psychology , Severity of Illness Index , Spin Labels
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