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Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change

Alzheimer's Disease Neuroimaging Initiative (Humana Press, 2020-06)

Accurate, automated white matter hyperintensity (WMH) segmentations are needed for large-scale studies to understand contributions of WMH to neurological diseases. We evaluated Bayesian Model Selection (BaMoS), a hierarchical ...
Effect of Fixed-Density Thresholding on Structural Brain Networks: A Demonstration in Cerebral Small Vessel Disease

Utrecht VCI Study Group (Mary Ann Liebert Inc., 2020-04)

A popular solution to control for edge density variability in structural brain network analysis is to threshold the networks to a fixed density across all subjects. However, it remains unclear how this type of thresholding ...
High white matter hyperintensity burden in strategic white matter tracts relates to worse global cognitive performance in community-dwelling individuals

Biesbroek, J Matthijs; Lam, Bonnie Y K; Zhao, Lei; Tang, Yumi; Wang, Zhaolu; Abrigo, Jill; Chu, Winnie W C; Wong, Adrian; Shi, Lin; Kuijf, Hugo J; Biessels, Geert Jan; Mok, Vincent C T (Elsevier, 2020-07-15)

BACKGROUND: White matter hyperintensities (WMH) are associated with cognitive impairment. The impact of WMH on cognitive domains (e.g. processing speed, executive functioning) depends on location. We determined whether the ...
Understanding multifactorial brain changes in type 2 diabetes: a biomarker perspective

Biessels, Geert Jan; Nobili, Flavio; Teunissen, Charlotte E; Simó, Rafael; Scheltens, Philip (Elsevier Limited, 2020-08)

People with type 2 diabetes are at an increased risk of cognitive impairment and dementia (including Alzheimer's disease), as well as subtle forms of cognitive dysfunction. Current diabetes guidelines recommend screening ...
Type 2 diabetes and cognitive dysfunction-towards effective management of both comorbidities

Srikanth, Velandai; Sinclair, Alan J; Hill-Briggs, Felicia; Moran, Chris; Biessels, Geert Jan (Elsevier, 2020-06)

Type 2 diabetes and cognitive dysfunction are highly prevalent disorders worldwide. Although type 2 diabetes is associated with an increased risk of dementia, awareness of the link between the two conditions is poor, and ...
The prognostic role of NK cells and their ligands in squamous cell carcinoma of the head and neck: a systematic review and meta-analysis

Bisheshar, Sangeeta K.; De Ruiter, Emma J.; Devriese, Lot A.; Willems, Stefan M. (Landes Bioscience, 2020-01-01)

Background: Despite the improvement in therapeutic interventions, 5-year survival rates in Head and Neck Squamous Cell Carcinoma (HNSCC) are limited. HNSCC is an immunogenic cancer type for which molecular stratification ...
Vulnerability to reservoir reseeding due to high immune activation after allogeneic hematopoietic stem cell transplantation in individuals with HIV-1

Eberhard, Johanna M.; Angin, Mathieu; Passaes, Caroline; Salgado, Maria; Monceaux, Valerie; Knops, Elena; Kobbe, Guido; Jensen, Björn; Christopeit, Maximilian; Kröger, Nicolaus; Vandekerckhove, Linos; Badiola, Jon; Bandera, Alessandra; Raj, Kavita; van Lunzen, Jan; Hütter, Gero; Kuball, Jürgen H.E.; Martinez-Laperche, Carolina; Balsalobre, Pascual; Kwon, Mi; Díez-Martín, José L.; Nijhuis, Monique; Wensing, Annemarie; Martinez-Picado, Javier; Schulze Zur Wiesch, Julian; Sáez-Cirión, Asier (American Association for the Advancement of Science, 2020-05-06)

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the only medical intervention that has led to an HIV cure. Whereas the HIV reservoir sharply decreases after allo-HSCT, the dynamics of the T cell reconstitution ...
DeepDose: Towards a fast dose calculation engine for radiation therapy using deep learning

Kontaxis, C; Bol, G H; Lagendijk, J J W; Raaymakers, B W (IOP Publishing Ltd., 2020-04-07)

We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Given a patient anatomy and linear-accelerator IMRT multi-leaf-collimator shape or segment, a novel set of physics-based inputs ...
Gastric- and intestinal-type IPMN: two of a kind?

Noë, Michael; Brosens, Lodewijk A A (Springer-Verlag, 2020-07)
Rethinking the intention-to-treat principle: one size does not fit all

Oude Rengerink, K; Mitroiu, M; Teerenstra, S; Pétavy, F; Roes, K C B (Elsevier, 2020-09)
MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances

Dubois, Jessica; Alison, Marianne; Counsell, Serena J; Lucie, Hertz-Pannier; Hüppi, Petra S; Benders, Manon J N L (John Wiley & Sons Inc., 2021-05)

In recent years, exploration of the developing brain has become a major focus for researchers and clinicians in an attempt to understand what allows children to acquire amazing and unique abilities, as well as the impact ...
Both male and female obese ZSF1 rats develop cardiac dysfunction in obesity-induced heart failure with preserved ejection fraction

Nguyen, Isabel T N; Brandt, Maarten M; van de Wouw, Jens; van Drie, Ruben W A; Wesseling, Marian; Cramer, Maarten J; de Jager, Saskia C A; Merkus, Daphne; Duncker, Dirk J; Cheng, Caroline; Joles, Jaap A; Verhaar, Marianne C (Public Library of Science, 2020-05-06)

Heart failure with a preserved ejection fraction (HFpEF) is associated with multiple comorbidities, such as old age, hypertension, type 2 diabetes and obesity and is more prevalent in females. Although the male obese ZSF1 ...
Innovations in approaches to remove uraemic toxins

Masereeuw, Rosalinde; Verhaar, Marianne C (Nature Publishing Group, 2020-10-01)
Tumor volume regression during neoadjuvant chemoradiotherapy for esophageal cancer: a prospective study with weekly MRI

Defize, Ingmar L; Boekhoff, Mick R; Borggreve, Alicia S; van Lier, Astrid L H M W; Takahashi, Noriyoshi; Haj Mohammad, Nadia; Ruurda, Jelle P; van Hillegersberg, Richard; Mook, Stella; Meijer, Gert J (Informa Healthcare, 2020-07-02)

Background: Neoadjuvant chemoradiotherapy (nCRT) for esophageal cancer causes tumor regression during treatment. Tumor regression can induce changes in the thoracic anatomy, with smaller target volumes and displacement of ...
Descemet Membrane Endothelial Keratoplasty versus Ultrathin Descemet Stripping Automated Endothelial Keratoplasty: A Multicenter Randomized Controlled Clinical Trial

Dunker, Suryan L; Dickman, Mor M; Wisse, Robert P L; Nobacht, Siamak; Wijdh, Robert H J; Bartels, Marjolijn C; Tang, Mei L; van den Biggelaar, Frank J H M; Kruit, Pieter J; Nuijts, Rudy M M A (Elsevier, 2020-09)

PURPOSE: To compare best spectacle-corrected visual acuity (BSCVA), endothelial cell density (ECD), refractive astigmatism, and complications after Descemet membrane endothelial keratoplasty (DMEK) and ultrathin Descemet ...
Clues for genetic anticipation in Multiple Endocrine Neoplasia type 1

van den Broek, Medard F M; van Nesselrooij, Bernadette P M; Pieterman, Carolina C R; Verrijn Stuart, Annemarie A; van de Ven, Annenienke C; de Herder, Wouter W; Dekkers, Olaf M; Drent, Madeleine L; Havekes, Bas; Kerstens, Michiel N; Bisschop, Peter H; Valk, Gerlof D (Endocrine Society, 2020-07)

Context: Multiple endocrine neoplasia type 1 (MEN1) is a rare autosomal dominant hereditary disease caused by the loss of function of the MEN1 gene, a tumor-suppressor gene that encodes the protein menin. It is characterized ...
Programmed Death Receptor Ligand One Expression May Independently Predict Survival in Patients With Non-Small Cell Lung Carcinoma Brain Metastases Receiving Immunotherapy

Hulsbergen, Alexander F C; Mammi, Marco; Nagtegaal, Steven H J; Lak, Asad M; Kavouridis, Vasileios; Smith, Timothy R; Iorgulescu, Julian B; Mekary, Rania A; Verhoeff, Joost J C; Broekman, Marike L D; Phillips, John G (Elsevier, 2020-09-01)

Purpose: Programmed death receptor ligand 1 (PD-L1) expression is known to predict response to PD-1/PD-L1 inhibitors in non-small cell lung cancer (NSCLC). However, the predictive role of this biomarker in brain metastases ...
Killer cell proteases can target viral immediate-early proteins to control human cytomegalovirus infection in a noncytotoxic manner

Shan, Liling; Li, Shuang; Meeldijk, Jan; Blijenberg, Bernadet; Hendriks, Astrid; van Boxtel, Karlijn J.W.M.; van den Berg, Sara P.H.; Groves, Ian J.; Potts, Martin; Svrlanska, Adriana; Stamminger, Thomas; Wills, Mark R.; Bovenschen, Niels (Public Library of Science, 2020-04-01)

Human cytomegalovirus (HCMV) is the most frequent viral cause of congenital defects and can trigger devastating disease in immune-suppressed patients. Cytotoxic lymphocytes (CD8+ T cells and NK cells) control HCMV infection ...
Association of preceding psychosis risk states and non-psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS-2 cohort

Guloksuz, Sinan; Pries, Lotta Katrin; ten Have, Margreet; de Graaf, Ron; van Dorsselaer, Saskia; Klingenberg, Boris; Bak, Maarten; Lin, Bochao D; van Eijk, Kristel R.; Delespaul, Philippe; van Amelsvoort, Therese; Luykx, Jurjen J.; Rutten, Bart P.F.; van Os, Jim (Wiley-Blackwell, 2020-06-01)

The validity and clinical utility of the concept of “clinical high risk” (CHR) for psychosis have so far been investigated only in risk-enriched samples in clinical settings. In this population-based prospective study, we ...
Study protocol for a randomised trial for atosiban versus placebo in threatened preterm birth: The APOSTEL 8 study

Klumper, Job; Breebaart, Wouter; Roos, Carolien; Naaktgeboren, Christiana A.; Van Der Post, Joris; Bosmans, Judith; Van Kaam, Anton; Schuit, Ewoud; Mol, Ben W.; Baalman, Jelle; McAuliffe, Fionnuala; Thornton, Jim; Kok, Marjolein; Oudijk, Martijn A. (BMJ Publishing Group, 2019-11-26)

Introduction Preterm birth complicates >15 million pregnancies annually worldwide. In many countries, women who present with signs of preterm labour are treated with tocolytics for 48 hours. Although this delays birth, it ...

Now showing items 19361-19380 of 40729