9 research outputs found

    Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial

    No full text
    Contains fulltext : 153686.pdf (Publisher’s version ) (Closed access)Lung cancer risk models should be externally validated to test generalizability and clinical usefulness. The Danish Lung Cancer Screening Trial (DLCST) is a population-based prospective cohort study, used to assess the discriminative performances of the PanCan models.From the DLCST database, 1,152 nodules from 718 participants were included. Parsimonious and full PanCan risk prediction models were applied to DLCST data, and also coefficients of the model were recalculated using DLCST data. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to evaluate risk discrimination.AUCs of 0.826-0.870 were found for DLCST data based on PanCan risk prediction models. In the DLCST, age and family history were significant predictors (p = 0.001 and p = 0.013). Female sex was not confirmed to be associated with higher risk of lung cancer; in fact opposing effects of sex were observed in the two cohorts. Thus, female sex appeared to lower the risk (p = 0.047 and p = 0.040) in the DLCST.High risk discrimination was validated in the DLCST cohort, mainly determined by nodule size. Age and family history of lung cancer were significant predictors and could be included in the parsimonious model. Sex appears to be a less useful predictor.• High accuracy in logistic modelling for lung cancer risk stratification of nodules. • Lung cancer risk prediction is primarily based on size of pulmonary nodules. • Nodule spiculation, age and family history of lung cancer are significant predictors. • Sex does not appear to be a useful risk predictor

    Extrapolation of sparse tensor fields: application to the modeling of brain variability.

    No full text
    International audienceModeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in the cerebral cortex: a set of 72 sulcal lines in each of 98 healthy human subjects. We propose an original method to compute the average sulcal curves, which constitute the mean anatomy in this context. The second order moment of the sulcal distribution is modeled as a sparse field of covariance tensors (symmetric, positive definite matrices). To extrapolate this information to the full brain, one has to overcome the limitations of the standard Euclidean matrix calculus. We propose an affine-invariant Riemannian framework to perform computations with tensors. In particular, we generalize radial basis function (RBF) interpolation and harmonic diffusion PDEs to tensor fields. As a result, we obtain a dense 3D variability map which proves to be in accordance with previously published results on smaller samples subjects. Moreover, leave one (sulcus) out tests show that our model is globally able to recover the missing information when there is a consistent neighboring variability. Last but not least, we propose innovative methods to analyze the asymmetry of brain variability. As expected, the greatest asymmetries are found in regions that includes the primary language areas. Interestingly, such an asymmetry in anatomical variance could explain why there may be greater power to detect group activation in one hemisphere than the other in fMRI studies

    Sustained Attention and Interference Control Among 7-Year-Old Children With a Familial High Risk of Schizophrenia or Bipolar Disorder-A Nationwide Observational Cohort Study.

    No full text
    Given the partially shared genetic liability between schizophrenia and bipolar disorder, we aimed to assess whether 7-year-old children with a familial high risk of schizophrenia or bipolar disorder display specific deficits of sustained attention and interference control compared with each other and with control children. An observational cohort was identified through Danish registries and consisted of 522 children 7 years of age with no, one, or two parents with a diagnosis of schizophrenia or bipolar disorder. Control subjects were matched based on age, sex, and municipality. Sustained attention and interference control were assessed using Conners' Continuous Performance Test II and a modified Eriksen flanker task. Assessors were blinded to group membership of participants. The effect of higher genetic loading was not considered in the statistical models owing to low numbers. At 7 years of age, children with a familial high risk of schizophrenia displayed deficits of sustained attention and subtle deficits in interference control compared with control children and children with a familial high risk of bipolar disorder. Children with a familial high risk of bipolar disorder displayed similar abilities of sustained attention and interference control as control children except in terms of a lower accuracy. Our findings suggest distinct neurodevelopmental characteristics in middle childhood of sustained attention and interference control for children of parents with schizophrenia or bipolar disorder

    Impaired motor development in children with familial high risk of schizophrenia or bipolar disorder and the association with psychotic experiences: a 4-year Danish observational follow-up study.

    No full text
    Motor abnormalities have clinical relevance as a component of psychotic illness; they are not only a proxy of altered neurodevelopment, but also intimately related to psychotic risk. We aimed to assess motor development and its association with psychotic experiences in children with familial high risk (FHR) of schizophrenia or bipolar disorder compared with controls. The Danish High Risk and Resilience Study is a prospective longitudinal cohort study, for which participants were extracted from Danish registers. Children born in Denmark between Sept 1, 2004, and Aug 31, 2009, with no, one, or two parents born in Denmark with schizophrenia or bipolar disorder, could be included in the study. No ethnicity data were collected. Children with no biological parent diagnosed with schizophrenia spectrum disorder or bipolar disorder were matched to children with FHR of schizophrenia (one or two parents with schizophrenia spectrum disorder) on the basis of sex, age, and municipality. Children with FHR of bipolar disorder (one or two parents with bipolar disorder) were included as a non-matched group. We assessed motor function in children with FHR of schizophrenia, children with FHR of bipolar disorder, and children in the control group at approximately age 8 years (baseline; 2013-16) and age 12 years (follow-up; 2017-20) using the Movement Assessment Battery for Children-Second Edition (Movement ABC-2). Psychotic experiences were assessed using the psychosis section of the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version. Raters were masked regarding familial risk status. Motor development from baseline to follow-up in the different groups was assessed using a linear mixed model. Logistic regression examined the relationship between definite motor problems (≤5th percentile on Movement ABC-2) and psychotic experiences. Between March 1, 2017, and June 30, 2020, we studied 437 children (234 [54%] boys, 203 [46%] girls; mean age 11·99 years [SD 0·26, range 11·08-12·86]). Children with FHR of schizophrenia showed stable motor developmental deficits in manual dexterity (difference in intercept -1·62 [95% CI -2·39 to -0·85], p<0·0001; difference in slope 0·17 [-0·48 to 0·81], p=0·61) and balance (difference in intercept -1·58 [-2·34 to -0·82], p<0·0001; difference in slope 0·32 [-0·34 to 0·99], p=0·34), and a developmental lag in aiming and catching (difference in slope -1·07 [-1·72 to -0·41], p=0·0015; difference in intercept -0·59 [-1·35 to 0·17], p=0·13) compared with controls. Children with FHR of bipolar disorder showed no motor developmental differences on a group basis. Compared with controls, children with FHR of schizophrenia were more likely to have definite motor problems (odds ratio [OR] 2·86 [95% CI 1·60 to 5·11], p=0·0004), as were children with FHR of bipolar disorder (OR 2·45 [1·28 to 4·70], p=0·0068). Children with definite motor problems across all groups were more likely (OR 1·90 [1·12 to 3·21, p=0·017] to have had psychotic experiences than children with no definite motor problems. Clinicians should be aware that motor impairment in childhood can reflect neurodevelopmental vulnerability to psychosis. Our findings contribute to the identification of early risk markers for severe mental illness, both for use by clinicians and for establishing a basis for future primary preventive intervention studies in the premorbid phase. The Independent Research Fund Denmark, the Mental Health Services of the Capital Region of Denmark, the Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, the Beatrice Surovell Haskell Fund, the Tryg Foundation, and the Innovation Fund Denmark. For the Danish translation of the abstract see Supplementary Materials section
    corecore