The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

Abstract Background Increased high sensitivity C- reactive protein (hs-CRP) levels have been found in many earlier studies on migraine, and recently also in persons with migraine and insomnia. The aim of this study was to see whether these findings could be reproduced in a large-scale population-based study. Methods A total of 50,807 (54%) out of 94,194 invited aged ≥20 years or older participated in the third wave of the Nord-Trøndelag Health Study study performed in 2006–2008. Among these, 38,807 (41%) had valid measures of hs-CRP and answered questions on headache and insomnia. Elevated hs-CRP was defined as > 3.0 mg/L. The cross-sectional association with headache was estimated by multivariate analyses using multiple logistic regression. The precision of the odds ratio (OR) was assessed with 95% confidence interval (CI). Results In the fully adjusted model, elevated hs-CRP was associated with migraine (OR 1.14, 95% CI 1.04–1.25) and migraine with aura (OR 1.15, 95% CI 1.03–1.29). The association was strongest among individuals with headache ≥15 days/month for any headache (OR 1.26, 95% CI 1.08–1.48), migraine (OR 1.62, 95% CI 1.21–2.17), and migraine with aura (OR 1.84, 95% CI 1.27–2.67). No clear relationship was found between elevated hs-CRP and headache less than 7 days/month or with insomnia. Conclusions Cross-sectional data from this large-scale population-based study showed that elevated hs-CRP was associated with headache ≥7 days/month, especially evident for migraine with aura.

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The impact of a large-scale population-based asthma management program on pediatric asthma patients and their caregivers

Annals of Allergy Asthma & Immunology ◽

10.1016/s1081-1206(10)61799-1 ◽

2003 ◽

Vol 90 (3) ◽

pp. 308-315 ◽

Cited By ~ 33

Author(s):

Archelle Georgiou ◽

Deborah A. Buchner ◽

Daniel H. Ershoff ◽

Kristin M. Blasko ◽

Linda V. Goodman ◽

...

Keyword(s):

Large Scale ◽

Asthma Management ◽

Pediatric Asthma ◽

Population Based ◽

Management Program ◽

Scale Population ◽

Asthma Patients ◽

The Impact

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The impact of C-reactive protein levels on headache frequency. The HUNT Study 2006-2008

10.21203/rs.2.10500/v2 ◽

2019 ◽

Author(s):

Knut Hagen ◽

Lars Jacob Stovner ◽

Kristian Bernhard Nilsen ◽

Espen Saxhaug Kristoffersen ◽

Bendik Slagsvold Winsvold

Keyword(s):

Migraine With Aura ◽

Large Scale ◽

Population Based ◽

C Reactive Protein ◽

Cross Sectional ◽

Population Based Study ◽

Reactive Protein ◽

Scale Population ◽

Hs Crp ◽

The Impact

Abstract Background Increased high sensitivity C- reactive protein (hs-CRP) levels have been found in many earlier studies on migraine, and recently also in persons with migraine and insomnia. The aim of this study was to see whether these findings could be reproduced in a large-scale population-based study. Methods A total of 50,807 (54%) out of 94,194 invited aged ≥ 20 years or older participated in the third wave of the Nord-Trøndelag Health Study study performed in 2006-2008. Among these, 38,807 (41%) had valid measures of hs-CRP and answered questions on headache and insomnia. Elevated hs-CRP was defined as >3.0 mg/L. The cross-sectional association with headache was estimated by multivariate analyses using multiple logistic regression. The precision of the odds ratio (OR) was assessed with 95% confidence interval (CI). Results In the fully adjusted model, elevated hs-CRP was associated with migraine (OR 1.14, 95% CI 1.04-1.25) and migraine with aura (OR 1.15, 95% CI 1.03-1.29). The association was strongest among individuals with headache ≥ 15 days/month for any headache (OR 1.26, 95% CI 1.08-1.48), migraine (OR 1.62, 95% CI 1.21-2.17), and migraine with aura (OR 1.84, 95% CI 1.27-2.67). No clear relationship was found between elevated hs-CRP and headache less than 7 days/month or with insomnia. Conclusions Cross-sectional data from this large-scale population-based study showed that elevated hs-CRP was associated with headache ≥ 7 days/month, especially evident for migraine with aura.

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Multi-GPU approach to global induction of classification trees for large-scale data mining

Applied Intelligence ◽

10.1007/s10489-020-01952-5 ◽

2021 ◽

Author(s):

Krzysztof Jurczuk ◽

Marcin Czajkowski ◽

Marek Kretowski

Keyword(s):

Data Mining ◽

Large Scale ◽

Real Life ◽

Population Based ◽

Tree Structure ◽

Global Approach ◽

Data Parallel ◽

Large Scale Data ◽

The Impact ◽

Scale Data

AbstractThis paper concerns the evolutionary induction of decision trees (DT) for large-scale data. Such a global approach is one of the alternatives to the top-down inducers. It searches for the tree structure and tests simultaneously and thus gives improvements in the prediction and size of resulting classifiers in many situations. However, it is the population-based and iterative approach that can be too computationally demanding to apply for big data mining directly. The paper demonstrates that this barrier can be overcome by smart distributed/parallel processing. Moreover, we ask the question whether the global approach can truly compete with the greedy systems for large-scale data. For this purpose, we propose a novel multi-GPU approach. It incorporates the knowledge of global DT induction and evolutionary algorithm parallelization together with efficient utilization of memory and computing GPU’s resources. The searches for the tree structure and tests are performed simultaneously on a CPU, while the fitness calculations are delegated to GPUs. Data-parallel decomposition strategy and CUDA framework are applied. Experimental validation is performed on both artificial and real-life datasets. In both cases, the obtained acceleration is very satisfactory. The solution is able to process even billions of instances in a few hours on a single workstation equipped with 4 GPUs. The impact of data characteristics (size and dimension) on convergence and speedup of the evolutionary search is also shown. When the number of GPUs grows, nearly linear scalability is observed what suggests that data size boundaries for evolutionary DT mining are fading.

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Retrospective analysis of hemispheric structural network change as a function of location and size of glioma

Brain Communications ◽

10.1093/braincomms/fcaa216 ◽

2020 ◽

Author(s):

Shawn D’Souza ◽

Lisa Hirt ◽

David R Ormond ◽

John A Thompson

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Temporal Lobe ◽

Diffusion Tensor ◽

Brain Regions ◽

Structural Network ◽

Tumour Location ◽

The Impact ◽

Tractography Data ◽

Diffusion Tensor Imaging Tractography

Abstract Gliomas are neoplasms that arise from glial cell origin and represent the largest fraction of primary malignant brain tumours (77%). These highly infiltrative malignant cell clusters modify brain structure and function through expansion, invasion and intratumoral modification. Depending on the growth rate of the tumour, location and degree of expansion, functional reorganization may not lead to overt changes in behaviour despite significant cerebral adaptation. Studies in simulated lesion models and in patients with stroke reveal both local and distal functional disturbances, using measures of anatomical brain networks. Investigations over the last two decades have sought to use diffusion tensor imaging tractography data in the context of intracranial tumours to improve surgical planning, intraoperative functional localization, and post-operative interpretation of functional change. In this study, we used diffusion tensor imaging tractography to assess the impact of tumour location on the white matter structural network. To better understand how various lobe localized gliomas impact the topology underlying efficiency of information transfer between brain regions, we identified the major alterations in brain network connectivity patterns between the ipsilesional versus contralesional hemispheres in patients with gliomas localized to the frontal, parietal or temporal lobe. Results were indicative of altered network efficiency and the role of specific brain regions unique to different lobe localized gliomas. This work draws attention to connections and brain regions which have shared structural susceptibility in frontal, parietal and temporal lobe glioma cases. This study also provides a preliminary anatomical basis for understanding which affected white matter pathways may contribute to preoperative patient symptomology.

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Publisher Correction: A link between appendectomy and gastrointestinal cancers: a large-scale population-based cohort study in Korea

Scientific Reports ◽

10.1038/s41598-021-85952-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Youn Young Park ◽

Kil‑yong Lee ◽

Seong Taek Oh ◽

Sang Hyun Park ◽

Kyung Do Han ◽

...

Keyword(s):

Cohort Study ◽

Large Scale ◽

Population Based ◽

Gastrointestinal Cancers ◽

Scale Population

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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White Matter Alteration Following SWAT Explosive Breaching Training and the Moderating Effect of a Neck Collar Device: A DTI and NODDI Study

Military Medicine ◽

10.1093/milmed/usab168 ◽

2021 ◽

Author(s):

Weihong Yuan ◽

Jonathan Dudley ◽

Alexis B Slutsky-Ganesh ◽

James Leach ◽

Pete Scheifele ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Diffusion Tensor ◽

Moderating Effect ◽

Significant Group ◽

Blast Exposure ◽

Diffusion Weighted ◽

Weighted Data ◽

The Right ◽

The Impact

ABSTRACT Introduction Special Weapons and Tactics (SWAT) personnel who practice breaching with blast exposure are at risk for blast-related head trauma. We aimed to investigate the impact of low-level blast exposure on underlying white matter (WM) microstructure based on diffusion tensor imaging (DTI) and neurite orientation and density imaging (NODDI) in SWAT personnel before and after breacher training. Diffusion tensor imaging is an advanced MRI technique sensitive to underlying WM alterations. NODDI is a novel MRI technique emerged recently that acquires diffusion weighted data from multiple shells modeling for different compartments in the microstructural environment in the brain. We also aimed to evaluate the effect of a jugular vein compression collar device in mitigating the alteration of the diffusion properties in the WM as well as its role as a moderator on the association between the diffusion property changes and the blast exposure. Materials and Methods Twenty-one SWAT personnel (10 non-collar and 11 collar) completed the breacher training and underwent MRI at both baseline and after blast exposure. Diffusion weighted data were acquired with two shells (b = 1,000, 2,000 s/mm2) on 3T Phillips scanners. Diffusion tensor imaging metrices, including fractional anisotropy, mean, axial, and radial diffusivity, and NODDI metrics, including neurite density index (NDI), isotropic volume fraction (fiso), and orientation dispersion index, were calculated. Tract-based spatial statistics was used in the voxel-wise statistical analysis. Post hoc analyses were performed for the quantification of the pre- to post-blast exposure diffusion percentage change in the WM regions with significant group difference and for the assessment of the interaction of the relationship between blast exposure and diffusion alteration. Results The non-collar group exhibited significant pre- to post-blast increase in NDI (corrected P < .05) in the WM involving the right internal capsule, the right posterior corona radiation, the right posterior thalamic radiation, and the right sagittal stratum. A subset of these regions showed significantly greater alteration in NDI and fiso in the non-collar group when compared with those in the collar group (corrected P < .05). In addition, collar wearing exhibited a significant moderating effect for the alteration of fiso for its association with average peak pulse pressure. Conclusions Our data provided initial evidence of the impact of blast exposure on WM diffusion alteration based on both DTI and NODDI. The mitigating effect of WM diffusivity changes and the moderating effect of collar wearing suggest that the device may serve as a promising solution to protect WM against blast exposure.

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The impact of depression on Veterans with PTSD and traumatic brain injury: A diffusion tensor imaging study

Biological Psychology ◽

10.1016/j.biopsycho.2014.12.011 ◽

2015 ◽

Vol 105 ◽

pp. 20-28 ◽

Cited By ~ 17

Author(s):

Linda Isaac ◽

Keith L. Main ◽

Salil Soman ◽

Ian H. Gotlib ◽

Ansgar J. Furst ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Diffusion Tensor Imaging ◽

Brain Injury ◽

Diffusion Tensor ◽

Imaging Study ◽

The Impact ◽

Diffusion Tensor Imaging Study

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Maternal adherence to micronutrient supplementation before and during pregnancy in Northwest China: a large-scale population-based cross-sectional survey

BMJ Open ◽

10.1136/bmjopen-2018-028843 ◽

2019 ◽

Vol 9 (8) ◽

pp. e028843 ◽

Cited By ~ 6

Author(s):

Danmeng Liu ◽

Yue Cheng ◽

Shaonong Dang ◽

Duolao Wang ◽

Yaling Zhao ◽

...

Keyword(s):

Pregnant Women ◽

Large Scale ◽

Northwest China ◽

Population Based ◽

Shaanxi Province ◽

Micronutrient Supplementation ◽

Cross Sectional Survey ◽

Start Time ◽

Cross Sectional ◽

Scale Population

ObjectivesTo report the situation of maternal micronutrient supplementation before and during pregnancy in Northwest China and to examine the rates of and factors related to the adherence to micronutrient supplementation among pregnant women in this region, where dietary micronutrient intake is commonly insufficient.DesignA large-scale population-based cross-sectional survey.SettingTwenty counties and ten districts of Shaanxi Province.ParticipantsA sample of 30 027 women were selected using a stratified multistage random sampling method. A total of 28 678 women were chosen for the final analysis after excluding those who did not provide clear information about nutritional supplementation before and during pregnancy.Main outcome measuresMaternal adherence to micronutrient supplementation (high and low) were the outcomes. They were determined by the start time and duration of use according to Chinese guidelines (for folic acid (FA) supplements) and WHO recommendations (for iron, calcium and multiple-micronutrient (MMN) supplements).ResultsIn total, 83.9% of women took at least one kind of micronutrient supplement before or during pregnancy. FA (67.6%) and calcium (57.5%) were the primarily used micronutrient supplements; few participants used MMN (14.0%) or iron (5.4%). Adherence to supplementation of all micronutrients was low (7.4% for FA, 0.6% for iron, 11.7% for calcium and 2.7% for MMN). Higher educational levels, higher income levels, urban residence and better antenatal care (including pregnancy consultation and a higher frequency of antenatal visits) were associated with high adherence to micronutrient supplementation.ConclusionMaternal micronutrient supplementation before and during pregnancy in Northwest China was way below standards recommended by the Chinese guidelines or WHO. Targeted health education and future nutritional guidelines are suggested to improve this situation, especially in pregnant women with disadvantaged sociodemographic conditions.

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