13 research outputs found

    Validation of separate multi-atlases for auto segmentation of cardiac substructures in CT-scans acquired in deep inspiration breath hold and free breathing

    Get PDF
    Background and purpose: Developing NTCP-models for cardiac complications after breast cancer (BC) radiotherapy requires cardiac dose-volume parameters for many patients. These can be obtained by using multi-atlas based automatic segmentation (MABAS) of cardiac structures in planning CT scans. We investigated the relevance of separate multi-atlases for deep inspiration breath hold (DIBH) and free breathing (FB) CT scans. Materials and methods: BC patients scanned in DIBH (n = 10) and in FB (n = 20) were selected to create separate multi-atlases consisting of expert panel delineations of the whole heart, atria and ventricles. The accuracy of atlas-generated contours was validated with expert delineations in independent datasets (n = 10 for DIBH and FB) and reported as Dice coefficients, contour distances and dose-volume differences in relation to interobserver variability of manual contours. Dependency of MABAS contouring accuracy on breathing technique was assessed by validation of a FB atlas in DIBH patients and vice versa (cross validation). Results: For all structures the FB and DIBH atlases resulted in Dice coefficients with their respective reference contours > 0.8 and average contour distances < 2 mm smaller than slice thickness of (CTs). No significant differences were found for dose-volume parameters in volumes receiving relevant dose levels (WH, LV and RV). Accuracy of the DIBH atlas was at least similar to, and for the ventricles better than, the interobserver variation in manual delineation. Cross-validation between breathing techniques showed a reduced MABAS performance. Conclusion: Multi-atlas accuracy was at least similar to interobserver delineation variation. Separate atlases for scans made in DIBH and FB could benefit atlas performance because accuracy depends on breathing technique

    Validation and Modification of a Prediction Model for Acute Cardiac Events in Patients With Breast Cancer Treated With Radiotherapy Based on Three-Dimensional Dose Distributions to Cardiac Substructures

    Get PDF
    PurposeA relationship between mean heart dose (MHD) and acute coronary event (ACE) rate was reported in a study of patients with breast cancer (BC). The main objective of our cohort study was to validate this relationship and investigate if other dose-distribution parameters are better predictors for ACEs than MHD.Patients and MethodsThe cohort consisted of 910 consecutive female patients with BC treated with radiotherapy (RT) after breast-conserving surgery. The primary end point was cumulative incidence of ACEs within 9 years of follow-up. Both MHD and various dose-distribution parameters of the cardiac substructures were collected from three-dimensional computed tomography planning data.ResultsThe median MHD was 2.37 Gy (range, 0.51 to 15.25 Gy). The median follow-up time was 7.6 years (range, 0.1 to 10.1 years), during which 30 patients experienced an ACE. The cumulative incidence of ACE increased by 16.5% per Gy (95% CI, 0.6 to 35.0; P = .042). Analysis showed that the volume of the left ventricle receiving 5 Gy (LV-V5) was the most important prognostic dose-volume parameter. The most optimal multivariable normal tissue complication probability model for ACEs consisted of LV-V5, age, and weighted ACE risk score per patient (c-statistic, 0.83; 95% CI, 0.75 to 0.91).ConclusionA significant dose-effect relationship was found for ACEs within 9 years after RT. Using MHD, the relative increase per Gy was similar to that reported in the previous study. In addition, LV-V5 seemed to be a better predictor for ACEs than MHD. This study confirms the importance of reducing exposure of the heart to radiation to avoid excess risk of ACEs after radiotherapy for BC. (C) 2017 by American Society of Clinical Oncology.</p

    Functional Impairments at School Age of Children With Necrotizing Enterocolitis or Spontaneous Intestinal Perforation

    No full text
    We aimed to determine motor, cognitive, and behavioral outcome at school age of children who had either necrotizing enterocolitis (NEC) or spontaneous intestinal perforation (SIP). This case-control study included infants with NEC Bell's stage IIA onward, infants with SIP, and matched controls (1996-2002). At school age, we assessed motor skills, intelligence, visual perception, visuomotor integration, verbal memory, attention, behavior, and executive functions. Of 93 infants with NEC or SIP, 28 (30%) died. We included 52 of 65 survivors for follow-up. At mean age of 9 y, we found that 68% of the children had borderline or abnormal scores on the Movement Assessment Battery for Children (versus 45% of controls). Their mean total intelligence quotient (IQ) was 86 +/- 14 compared with 97 +/- 9 in the controls. In addition, attention and visual perception were affected (p <0.01 and p = 0.02). In comparison to controls, surgically treated children were at highest risk for adverse outcome. In conclusion, at school age, the motor functions and intelligence of many children with NEC or SIP were borderline or abnormal and, specifically, attention and visual perception were impaired. Children with NEC or SIP form a specific risk group for functional impairments at school age even though the majority does not have overt brain pathology. (Pediatr Res 70: 619-625, 2011

    Disease variants alter transcription factor levels and methylation of their binding sites

    Get PDF
    Most disease-associated genetic variants are noncoding, making it challenging to design experiments to understand their functional consequences. Identification of expression quantitative trait loci (eQTLs) has been a powerful approach to infer the downstream effects of disease-associated variants, but most of these variants remain unexplained. The analysis of DNA methylation, a key component of the epigenome, offers highly complementary data on the regulatory potential of genomic regions. Here we show that disease-associated variants have widespread effects on DNA methylation in trans that likely reflect differential occupancy of trans binding sites by cis-regulated transcription factors. Using multiple omics data sets from 3,841 Dutch individuals, we identified 1,907 established trait-associated SNPs that affect the methylation levels of 10,141 different CpG sites in trans (false discovery rate (FDR) < 0.05). These included SNPs that affect both the expression of a nearby transcription factor (such as NFKB1, CTCF and NKX2-3) and methylation of its respective binding site across the genome. Trans methylation QTLs effectively expose the downstream effects of disease-associated variants

    The pathophysiology of essential tremor and Parkinson's tremor

    No full text
    Item does not contain fulltextWe review recent evidence about the pathophysiology of essential tremor and tremor in Parkinson’s disease. We believe that a network perspective is necessary to understand this common neurological symptom, and that knowledge of cerebral network dysfunction in tremor disorders will help to develop new therapies. Both essential tremor and Parkinson’s tremor are associated with increased activity in the cerebellothalamocortical circuit. However, different pathophysiological mechanisms lead to tremulous activity within this circuit. In Parkinson’s disease, evidence suggests that dopaminergic dysfunction of the pallidum triggers increased activity in the cerebellothalamocortical circuit. In essential tremor, GABAergic dysfunction of the cerebellar dentate nucleus and brain stem, possibly caused by neurodegeneration in these regions, may lead to tremulous activity within the cerebellothalamocortical circuit. In both disorders, network parameters such as the strength and directionality of interregional coupling are crucially altered. Exciting new research uses these network parameters to develop network-based therapies, such as closed-loop deep brain stimulation and transcranial magnetic or direct current stimulation.10 p

    Parkinson disease and comorbid cerebrovascular disease.

    No full text
    Contains fulltext : 81814.pdf (publisher's version ) (Closed access)Optimal management of chronic diseases not only requires tackling of the primary disease processes, but also necessitates timely recognition and treatment of comorbid conditions. In this article, we illustrate this two-pronged approach for two common age-related disorders: Parkinson disease (PD) and cerebrovascular disease (CVD). We first discuss the pathophysiological mechanisms that could provide a link between PD and CVD. Patients with PD have a series of risk factors that could promote development of CVD, but also have several protective factors. We then review the available clinical, radiological and neuropathological evidence to support an association between these two conditions. We conclude by discussing the potential implications for clinical practice, highlighting how comorbid CVD could alter the clinical presentation of PD and reviewing the possibilities for prevention and secondary prophylaxis. Additional research will be needed to fully evaluate the prevalence and clinical relevance of comorbid CVD in PD. Pending further evidence, we recommend that cerebral neuroimaging should be considered if patients with initially uncomplicated PD develop-either acutely or chronically-prominent and/or treatment-resistant gait impairment, postural instability, depression, cognitive decline, or urinary incontinence. Finding comorbid CVD in such patients could have prognostic implications, and could necessitate treatment to arrest further progression of CVD
    corecore