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Biomedical subjects

Mario Quarantelli

Publications and source records attributed to Mario Quarantelli.

7 recordsLinked to original sources

Modifications of brain tissue volumes in facioscapulohumeral dystrophy.

Facioscapulohumeral muscular dystrophy (FSHD), a pathology primarily characterized by involvement of the muscles in the face, shoulder and upper arm, can be associated to several CNS disorders, including sensorineural hearing deficits, schizophrenia, epilepsy and mental retardation. Aim of our study was to verify if brain tissue volumes, as measured by segmentation of MRI studies, are altered in FSHD. Volumes of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) were compared, taking into account head size age and sex, both globally (by multiple regression analysis) and regionally (by optimized voxel-based morphometry-VBM) in thirty patients with FSHD and 39 normal subjects (NS). FSHD patients had significantly lower GM volumes and higher CSF volumes (P < 10(-4)). GM loss showed a borderline correlation with clinical severity (P < 0.05). Brain tissue volumes did not correlate with disease duration, size of the genetic deletion, age at onset and the presence at MRI of WM hyperintensities (detected in 4/22 patients). At VBM three clusters of GM loss were detected, in the left precentral cortex (Brodmann areas 6, 2 and 44, P < 10(-14) corrected for multiple comparisons at cluster level), in the anterior cingulate (Brodmann areas 33, 24 and 11, P < 10(-4)) and in the right fronto-polar region (Brodmann area 10, P < 5.10(-3)). To the best of our knowledge, this is the first study to demonstrate a reduction in GM volume in FSHD. We hypothesize that localized GM loss in FSHD is the consequence of a selective involvement of specific CNS structures.

Adult↗

Ogilvie's syndrome (acute colonic pseudo-obstruction): review of the literature and report of 6 additional cases.

PURPOSE: Ogilvie's syndrome is defined as an acute pseudo-obstruction of the colon, characterized by the signs, symptoms and radiological pattern of a large-bowel obstruction, but without a detectable organic cause. The aetiology of Ogilvie's syndrome appears to be multifactorial, with a series of possibly interacting pathogenic noxae all resulting in colon inactivity. Our study reports on six cases of Ogilvie's syndrome diagnosed and treated between 1997 and 2002. MATERIALS AND METHODS: From October 1997 to September 2002 we studied six patients affected by pseudo-obstruction of the colon. The pseudo-obstruction was recurrent in two cases. Acute dilatation of the colon without radiologically-detectable organic obstruction was the inclusion criterion for the study. RESULTS: Plain abdominal radiography revealed colon dilatation that extended to the splenic flexure in three patients, to the hepatic flexure in two patients, and confined to the transverse colon in one patient. None of the patients showed air-fluid levels of the small intestine. CONCLUSIONS: The most relevant clinical finding in Ogilvie's syndrome is abdominal distension, which arises suddenly, has a progressive course and reaches massive levels. The first-line diagnostic investigation is plain abdominal radiography which shows extreme colon dilation without air-fluid levels of the small intestine. In three of our patients, conservative therapy alone was able to restore normal conditions within five days; two patients required decompressive colonoscopy, and one patient died from cardio-circulatory arrest after 48 hours.

Adult↗

Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction.

UNLABELLED: We present software for integrated analysis of brain PET studies and coregistered segmented MRI that couples a module for automated placement of regions of interest (ROI) with 4 alternative methods for partial-volume-effect correction (PVEc). The accuracy and precision of these methods have been measured using 4 simulated (18)F-FDG PET studies with increasing degrees of atrophy. METHODS: The software allows the application of a set of labels, defined a priori in the Talairach space, to segmented and coregistered MRI. Resulting ROIs are then transferred onto the PET study, and corresponding values are corrected according to the 4 PVEc techniques under investigation, providing corresponding corrected values. To evaluate the PVEc techniques, the software was applied to 4 simulated (18)F-FDG PET studies, introducing increasingly larger experimental errors, including errors in coregistration (0- to 6-pixel misregistration), segmentation (-13.7% to 14.1% gray matter [GM] volume change) and resolution estimate errors (-16.9% to 26.8% full-width-at-half-maximum mismatch). RESULTS: Even in the absence of segmentation and coregistration errors, uncorrected PET values showed -37.6% GM underestimation and 91.7% WM overestimation. Voxel-based correction only for the loss of GM activity as a result of spill-out onto extraparenchymal tissues left a residual underestimation of GM values (-21.2%). Application of the method that took into account both spill-in and spill-out effects between any possible pair of ROIs (R-PVEc) and of the voxel-based method that corrects also for the WM activity derived from R-PVEC (mMG-PVEc) provided an accuracy above 96%. The coefficient of variation of the GM ROIs, a measure of the imprecision of the GM concentration estimates, was 8.5% for uncorrected PET data and decreased with PVEc, reaching 6.0% for mMG-PVEc. Coregistration errors appeared to be the major determinant of the imprecision. CONCLUSION: Coupling of automated ROI placement and PVEc provides a tool for integrated analysis of brain PET/MRI data, which allows a recovery of true GM ROI values, with a high degree of accuracy when R-PVEc or mMG-PVEc is used. Among the 4 tested PVEc methods, R-PVEc showed the greatest accuracy and is suitable when corrected images are not specifically needed. Otherwise, if corrected images are desired, the mMG-PVEc method appears the most adequate, showing a similar accuracy.

Brain↗

Brain tissue volume changes in relapsing-remitting multiple sclerosis: correlation with lesion load.

The aim of this study was to simultaneously measure in vivo volumes of gray matter (GM), normal white matter (WM), abnormal white matter (aWM), and cerebro-spinal fluid (CSF), and to assess their relationship in 50 patients with relapsing-remitting multiple sclerosis (RR-MS) (age range, 21-59; mean EDSS, 2.5; mean disease duration, 9.9 years), using an unsupervised multiparametric segmentation procedure applied to brain MR studies. Tissue volumes were normalized to total intracranial volume providing corresponding fractional volumes (fGM, faWM, fWM, and fCSF), subsequently corrected for aWM-related segmentation inaccuracies and adjusted to mean patients' age according to age-related changes measured in 54 normal volunteers (NV) (age range 16-70). In MS patients aWM was 23.8 +/- 29.8 ml (range 0.4-138.8). A significant decrease in fGM was present in MS patients as compared to NV (49.5 +/- 3.2% vs 53.3 +/- 2.1%; P < 0.0001), with a corresponding increase in fCSF (13.0 +/- 3.8% vs 9.1 +/- 2.4%; P < 0.0001). No difference could be detected between the two groups for fWM (37.5 +/- 2.6% vs 37.6 +/- 2.2%). faWM correlated inversely with fGM (R = -0.434, P < 0.001 at regression analysis), and directly with fCSF (R = 0.473, P < 0.001), but not with fWM. There was a significant correlation between disease duration and EDSS, while no relationship was found between EDSS or disease duration and fractional volumes. Brain atrophy in RR-MS is mainly related to GM loss, which correlates with faWM. Both measures do not appear to significantly affect EDSS, which correlates to disease duration.

Adult↗

Voxel-based comparison of rCBF SPET images in frontotemporal dementia and Alzheimer's disease highlights the involvement of different cortical networks.

Characteristic patterns of regional cerebral blood flow (rCBF) reduction, as detected by technetium-99m hexamethylpropylene amine oxime ((99m)Tc-HMPAO) single-photon emission tomography (SPET), may help clinicians in differentiating patients with frontotemporal dementia (FTD) from those with Alzheimer's disease (AD). However, in some cases these patients may share common rCBF abnormalities and the visual analysis and/or the region of interest (ROI) approach may not sensitively detect more localised focal changes that could be more specific for each pathology. Recently, automated voxel-by-voxel statistical analysis of perfusion brain maps has been applied to SPET images. This method has the advantage of including the rCBF information for the whole brain for statistical analysis without any a priori hypothesis regarding the regions possibly involved. This could result in a better characterisation of rCBF differences in brain regions while also reducing the operator's subjectivity and the time required for data analysis. The purpose of this study was to apply such a technique to highlight the specific brain areas showing a relative functional involvement in FTD and AD. Thus, we compared the relative rCBF patterns obtained in eight FTD patients with those obtained in 21 AD patients using (99m)Tc-HMPAO SPET and statistical parametric mapping (SPM). When FTD patients were compared with AD patients, relatively lower rCBF was observed in right medial frontal cortex (BA 8, 9, 10), right anterior cingulate cortex (BA 32), right temporal cortex (BA 21/22), right orbitofrontal cortex (BA 11) and ventrolateral prefrontal cortex (BA 47); in BA 47 the reduction was evident bilaterally but was more marked on the right side. On the other hand, when AD patients were compared with FTD patients, a significant relative rCBF decrease was found in the bilateral superior parietal cortex (BA 7); this decrease was more extensive on the left side, where it also included the inferior parietal (BA 40), superior occipital (BA 19) and temporo-occipital regions (BA 39, 19). The results of this study confirm the preferential involvement of the frontotemporal regions in FTD patients and of the temporoparietal regions in AD patients. Furthermore, they highlight the networks that are more specifically impaired in these disorders and that could be implicated in the emotional-behavioural and cognitive disturbances that characterise FTD and AD respectively.

Aged↗

Stereotaxy-based regional brain volumetry applied to segmented MRI: validation and results in deficit and nondeficit schizophrenia.

A method for postprocessing of segmented routine brain MRI studies providing automated definition of major structures (frontal, parietal, occipital, and temporal lobes; cerebellar hemispheres; and lateral ventricles) according to the Talairach atlas is presented. The method was applied to MRI studies from 25 normal subjects (NV), 14 patients with deficit schizophrenia (DS), and 14 with nondeficit schizophrenia (NDS), to evaluate their gray matter and CSF regional volumes. The two patient groups did not differ in mean age at illness onset, duration of illness, severity of psychotic symptoms, or disorganization; DS had more severe avolition and worse social functioning than NDS. For validation purposes, brain structures were manually outlined on original MR images in 10 studies, thus obtaining reference measures. Manual and automated measures were repeated 1 month apart to measure reproducibilities of both methods. The automated method required less than 1 min/operator per study vs more than 30 min for manual assessment. Mean absolute difference per structure between the two techniques was 4.8 ml. Overall reproducibility did not significantly differ between the two methods. In subjects with schizophrenia, a significant decrease in GM and increase in CSF were found. GM loss was confined to frontal and temporal lobes. Lateral ventricles were significantly larger bilaterally in NDS compared to NV and only on the right in NDS compared to DS. The finding of greater structural brain abnormalities in NDS adds to the evidence that deficit schizophrenia does not represent just the more severe end of the schizophrenia continuum.

Adolescent↗

Reduced prefrontal activity predicts exaggerated striatal dopaminergic function in schizophrenia.

Both dopaminergic neurotransmission and prefrontal cortex (PFC) function are known to be abnormal in schizophrenia. To test the hypothesis that these phenomena are related, we measured presynaptic dopaminergic function simultaneously with regional cerebral blood flow during the Wisconsin Card Sorting Test (WCST) and a control task in unmedicated schizophrenic subjects and matched controls. We show that the dopaminergic uptake constant Ki in the striatum was significantly higher for patients than for controls. Patients had significantly less WCST-related activation in PFC. The two parameters were strongly linked in patients, but not controls. The tight within-patient coupling of these values, with decreased PFC activation predicting exaggerated striatal 6-fluorodopa uptake, supports the hypothesis that prefrontal cortex dysfunction may lead to dopaminergic transmission abnormalities.

Cerebrovascular Circulation↗