Effectiveness of a community-based multicomponent lifestyle intervention (the ADA programme) to improve the quality of life of French breast cancer survivors: protocol for a pragmatic cluster randomised trial and embedded qualitative study.

Introduction: Breast cancer survivors (BCSs) are often faced with multiple mental and physical sequelae and are at increased risk of emotional distress, degraded health-related quality of life (HRQoL), chronic pain and fatigue.Physical activity is strongly associated with improved HRQoL and survival rates; however, adherence rates to recommendations for a healthy lifestyle are seldom satisfactory among BCSs. Also, few studies have examined the effectiveness of multicomponent and personalised interventions that integrate physical activity and motivational techniques to improve the HRQoL of BCS.

The real estate factor: quantifying the impact of infarct location on stroke severity.

Background And Purpose: The severity of the neurological deficit after ischemic stroke is moderately correlated with infarct volume. In the current study, we sought to quantify the impact of location on neurological deficit severity and to delineate this impact from that of volume.

Methods: We developed atlases consisting of location-weighted values indicating the relative importance in terms of neurological deficit severity for every voxel of the brain.

Automated perfusion-weighted MRI using localized arterial input functions.

Purpose: To investigate the utility of an automated perfusion-weighted MRI (PWI) method for estimating cerebral blood flow (CBF) based on localized arterial input functions (AIFs) as compared to the standard method of manual global AIF selection, which is prone to deconvolution errors due to the effects of delay and dispersion of the contrast bolus.

Materials And Methods: Analysis was performed on spin- and gradient-echo EPI images from 36 stroke patients. A local AIF algorithm created an AIF for every voxel in the brain by searching out voxels with the lowest delay and dispersion, and then interpolating and spatially smoothing them for continuity.

Effect of using local arterial input functions on cerebral blood flow estimation.

Purpose: To investigate a previously developed method for perfusion-weighted MRI (PWI) cerebral blood flow (CBF) estimation that uses local arterial input functions (AIFs) in stroke patients, and determine its ability to correct delay and/or dispersion (D/D) errors.

Materials And Methods: Analysis was performed on dynamic susceptibility contrast data from 36 stroke patients, and CBF maps were calculated with global- and local-AIF techniques using standard SVP based methods. The ratios of these maps were calculated and the mean ratios were calculated for voxels with both normal and abnormal time to peak or width.

Conversion of ischemic brain tissue into infarction increases with age.

Background And Purpose: Brain regions normal on diffusion-weighted imaging (DWI) but abnormal on mean transit time (MTT) maps represent tissue at risk of infarction, yet the fate of these regions is quite variable. The imperfect correlation between tissue outcome and initial imaging parameters suggests that each patient's brain may have different susceptibility to ischemic stress. We hypothesize that age is a marker for tissue susceptibility to ischemia and thus plays a role in determining tissue outcome in human stroke.