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  1. Article ; Online: COVID-19 CRISIS: we must care for ourselves as we care for others.

    Sutton, Aaron / Skolnik, Neil

    The Journal of family practice

    2020  Volume 69, Issue 3, Page(s) 119;153

    MeSH term(s) COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/therapy ; Humans ; Pandemics ; Pennsylvania/epidemiology ; Physicians, Family/psychology ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/therapy ; Self Care
    Keywords covid19
    Language English
    Publishing date 2020-04-22
    Publishing country United States
    Document type Editorial
    ZDB-ID 197883-4
    ISSN 1533-7294 ; 0094-3509
    ISSN (online) 1533-7294
    ISSN 0094-3509
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Measuring CSF shunt flow with MRI using flow enhancement of signal intensity (FENSI).

    Zhang, Mingxiao / Olivero, William C / Huston, Jason M / Pappu, Suguna / Arnold, Paul M / Biswas, Arundhati / Anderson, Aaron T / Sutton, Bradley P

    Magnetic resonance in medicine

    2024  

    Abstract: Purpose: To develop and validate a noninvasive imaging technique for accurately assessing very slow CSF flow within shunt tubes in pediatric patients with hydrocephalus, aiming to identify obstructions that might impede CSF drainage.: Theory and ... ...

    Abstract Purpose: To develop and validate a noninvasive imaging technique for accurately assessing very slow CSF flow within shunt tubes in pediatric patients with hydrocephalus, aiming to identify obstructions that might impede CSF drainage.
    Theory and methods: A simulation of shunt flow enhancement of signal intensity (shunt-FENSI) signal is used to establish the relationship between signal change and flow rate. The quantification of flow enhancement of signal intensity data involves normalization, curve fitting, and calibration to match simulated data. Additionally, a phase sweep method is introduced to accommodate the impact of magnetic field inhomogeneity on the flow measurement. The method is tested in flow phantoms, healthy adults, intensive care unit patients with external ventricular drains (EVD), and shunt patients. EVDs enable shunt-flow measurements to be acquired with a ground truth measure of CSF drainage.
    Results: The flow-rate-to-signal simulation establishes signal-flow relationships and takes into account the T
    Conclusion: The results demonstrate the technique's applicability, accuracy, and potential for diagnosing and noninvasively monitoring hydrocephalus. Limitations of the current approach include a high sensitivity to motion and strict requirement of imaging slice prescription.
    Language English
    Publishing date 2024-03-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.30079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Multimodality therapy in metastatic pancreas cancer with a

    Sutton, Thomas L / Grossberg, Aaron / Ey, Frederick / O'Reilly, Eileen M / Sheppard, Brett C

    Cancer biology & therapy

    2021  Volume 22, Issue 10-12, Page(s) 532–536

    Abstract: Metastatic pancreatic adenocarcinoma (PDAC) is a rapidly lethal disease, with less than half of patients surviving 12 months, and 5-year survival approximately 3%. These outcomes are in large part due to a lack of effective medical and surgical therapies ...

    Abstract Metastatic pancreatic adenocarcinoma (PDAC) is a rapidly lethal disease, with less than half of patients surviving 12 months, and 5-year survival approximately 3%. These outcomes are in large part due to a lack of effective medical and surgical therapies for metastatic PDAC. Herein, we present the case of a patient with oligometastatic liver recurrence of
    MeSH term(s) Adenocarcinoma ; Biology ; Germ-Line Mutation ; Humans ; Mutation ; Neoplasm Recurrence, Local ; Pancreatic Neoplasms
    Language English
    Publishing date 2021-10-25
    Publishing country United States
    Document type Case Reports ; Journal Article ; Review
    ZDB-ID 2146305-0
    ISSN 1555-8576 ; 1538-4047
    ISSN (online) 1555-8576
    ISSN 1538-4047
    DOI 10.1080/15384047.2021.1991739
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Structure-Based Optimization of Selective and Brain Penetrant CK1δ Inhibitors for the Treatment of Circadian Disruptions.

    McCarver, Stefan / Hanna, Luke / Samant, Andrew / Thompson, Aaron A / Seierstad, Mark / Saha, Arjun / Wu, Dongpei / Lord, Brian / Sutton, Steven W / Shah, Vishal / Milligan, Cynthia M / Wennerholm, Michelle / Shelton, Jonathan / Lebold, Terry P / Shireman, Brock T

    ACS medicinal chemistry letters

    2024  Volume 15, Issue 4, Page(s) 486–492

    Abstract: Neuropsychiatric disorders such as major depressive disorders and schizophrenia are often associated with disruptions to the normal 24 h sleep wake cycle. Casein kinase 1 (CK1δ) is an integral part of the molecular machinery that regulates circadian ... ...

    Abstract Neuropsychiatric disorders such as major depressive disorders and schizophrenia are often associated with disruptions to the normal 24 h sleep wake cycle. Casein kinase 1 (CK1δ) is an integral part of the molecular machinery that regulates circadian rhythms. Starting from a cluster of bicyclic pyrazoles identified from a virtual screening effort, we utilized structure-based drug design to identify and reinforce a unique "hinge-flip" binding mode that provides a high degree of selectivity for CK1δ versus the kinome. Pharmacokinetics, brain exposure, and target engagement as measured by
    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Journal Article
    ISSN 1948-5875
    ISSN 1948-5875
    DOI 10.1021/acsmedchemlett.3c00523
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Patent Ductus Arteriosus in Pregnancy: Cardio-Obstetrics Management in a Late Presentation.

    Zhang, Zhihang / Wengrofsky, Aaron / Wolfe, Diana S / Sutton, Nicole / Gupta, Manoj / Hsu, Daphne T / Taub, Cynthia C

    CASE (Philadelphia, Pa.)

    2021  Volume 5, Issue 2, Page(s) 119–122

    Language English
    Publishing date 2021-01-06
    Publishing country United States
    Document type Case Reports
    ISSN 2468-6441
    ISSN (online) 2468-6441
    DOI 10.1016/j.case.2020.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline.

    Cai, Lanya T / Moon, Joseph / Camacho, Paul B / Anderson, Aaron T / Chwa, Won Jong / Sutton, Bradley P / Markowitz, Amy J / Palacios, Eva M / Rodriguez, Alexis / Manley, Geoffrey T / Shankar, Shivsundaram / Bremer, Peer-Timo / Mukherjee, Pratik / Madduri, Ravi K

    Neuroinformatics

    2024  Volume 22, Issue 2, Page(s) 177–191

    Abstract: Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instructions that requires many software packages with complex dependencies and high computational costs. We developed MaPPeRTrac, an ... ...

    Abstract Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instructions that requires many software packages with complex dependencies and high computational costs. We developed MaPPeRTrac, an edge-centric tractography pipeline that simplifies and accelerates this process in a wide range of high-performance computing (HPC) environments. It fully automates either probabilistic or deterministic tractography, starting from a subject's magnetic resonance imaging (MRI) data, including structural and diffusion MRI images, to the edge density image (EDI) of their structural connectomes. Dependencies are containerized with Singularity (now called Apptainer) and decoupled from code to enable rapid prototyping and modification. Data derivatives are organized with the Brain Imaging Data Structure (BIDS) to ensure that they are findable, accessible, interoperable, and reusable following FAIR principles. The pipeline takes full advantage of HPC resources using the Parsl parallel programming framework, resulting in the creation of connectome datasets of unprecedented size. MaPPeRTrac is publicly available and tested on commercial and scientific hardware, so it can accelerate brain connectome research for a broader user community. MaPPeRTrac is available at: https://github.com/LLNL/mappertrac .
    MeSH term(s) Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Connectome/methods
    Language English
    Publishing date 2024-03-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2111941-7
    ISSN 1559-0089 ; 1539-2791
    ISSN (online) 1559-0089
    ISSN 1539-2791
    DOI 10.1007/s12021-024-09650-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of participating in community assets on quality of life and costs of care: longitudinal cohort study of older people in England.

    Munford, Luke Aaron / Wilding, Anna / Bower, Peter / Sutton, Matt

    BMJ open

    2020  Volume 10, Issue 2, Page(s) e033186

    Abstract: Objectives: Improving outcomes for older people with long-term conditions and multimorbidity is a priority. Current policy commits to substantial expansion of social prescribing to community assets, such as charity, voluntary or community groups. We use ...

    Abstract Objectives: Improving outcomes for older people with long-term conditions and multimorbidity is a priority. Current policy commits to substantial expansion of social prescribing to community assets, such as charity, voluntary or community groups. We use longitudinal data to add to the limited evidence on whether this is associated with better quality of life or lower costs of care.
    Design: Prospective 18-month cohort survey of self-reported participation in community assets and quality of life linked to administrative care records. Effects of starting and stopping participation estimated using double-robust estimation.
    Setting: Participation in community asset facilities. Costs of primary and secondary care.
    Participants: 4377 older people with long-term conditions.
    Intervention: Participation in community assets.
    Primary and secondary outcome measures: Quality-adjusted life years (QALYs), healthcare costs and social value estimated using net benefits.
    Results: Starting to participate in community assets was associated with a 0.017 (95% CI 0.002 to 0.032) gain in QALYs after 6 months, 0.030 (95% CI 0.005 to 0.054) after 12 months and 0.056 (95% CI 0.017 to 0.094) after 18 months. Cumulative effects on care costs were negative in each time period: £-96 (95% CI £-512 to £321) at 6 months; £-283 (95% CI £-926 to £359) at 12 months; and £-453 (95% CI £-1366 to £461) at 18 months. The net benefit of starting to participate was £1956 (95% CI £209 to £3703) per participant at 18 months. Stopping participation was associated with larger negative impacts of -0.102 (95% CI -0.173 to -0.031) QALYs and £1335.33 (95% CI £112.85 to £2557.81) higher costs after 18 months.
    Conclusions: Participation in community assets by older people with long-term conditions is associated with improved quality of life and reduced costs of care. Sustaining that participation is important because there are considerable health changes associated with stopping. The results support the inclusion of community assets as part of an integrated care model for older patients.
    MeSH term(s) Aged ; Aged, 80 and over ; Chronic Pain/economics ; Chronic Pain/epidemiology ; Cohort Studies ; Community Participation/economics ; Community Participation/statistics & numerical data ; England ; Female ; Humans ; Longitudinal Studies ; Male ; Prospective Studies ; Quality of Life/psychology ; Quality-Adjusted Life Years
    Language English
    Publishing date 2020-02-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2019-033186
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Review of Treatment and Prevention of Coronavirus Disease 2019 among Solid Organ Transplant Recipients.

    Buehrle, Deanna J / Sutton, Robert R / McCann, Erin L / Lucas, Aaron E

    Viruses

    2021  Volume 13, Issue 9

    Abstract: Therapeutic management of solid organ transplant (SOT) recipients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), may challenge healthcare providers given a paucity of clinical ...

    Abstract Therapeutic management of solid organ transplant (SOT) recipients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), may challenge healthcare providers given a paucity of clinical data specific to this cohort. Herein, we summarize and review the studies that have formed the framework for current COVID-19 consensus management guidelines. Our review focuses on COVID-19 treatment options including monoclonal antibody products, antiviral agents such as remdesivir, and immunomodulatory agents such as corticosteroids, interleukin inhibitors, and kinase inhibitors. We highlight the presence or absence of clinical data of these therapeutics related to the SOT recipient with COVID-19. We also describe data surrounding COVID-19 vaccination of the SOT recipient. Understanding the extent and limitations of observational and clinical trial data for the prevention and treatment of COVID-19 specific to the SOT population is crucial for optimal management. Although minimal data exist on clinical outcomes among SOT recipients treated with varying COVID-19 therapeutics, reviewing these agents and the studies that have led to their inclusion or exclusion in clinical management of COVID-19 highlights the need for further studies of these therapeutics in SOT patients with COVID-19.
    MeSH term(s) COVID-19/prevention & control ; COVID-19/therapy ; COVID-19/virology ; COVID-19 Vaccines/administration & dosage ; COVID-19 Vaccines/immunology ; Clinical Decision-Making ; Disease Management ; Disease Susceptibility ; Host-Pathogen Interactions/immunology ; Humans ; Immunocompromised Host ; Organ Transplantation/adverse effects ; SARS-CoV-2/drug effects ; SARS-CoV-2/immunology ; Transplant Recipients
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-08-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v13091706
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  9. Article ; Online: Validation of automated body composition analysis using diagnostic computed tomography imaging in patients with pancreatic cancer.

    Gunesch, Ali N / Sutton, Thomas L / Krasnow, Stephanie M / Deig, Christopher R / Sheppard, Brett C / Marks, Daniel L / Grossberg, Aaron J

    American journal of surgery

    2022  Volume 224, Issue 2, Page(s) 742–746

    Abstract: Background: Sarcopenia is associated with complications and inferior oncologic outcomes in solid tumors. Axial computed tomography (CT) scans can be used to evaluate sarcopenia, however manual quantification is laborious. We sought to validate an ... ...

    Abstract Background: Sarcopenia is associated with complications and inferior oncologic outcomes in solid tumors. Axial computed tomography (CT) scans can be used to evaluate sarcopenia, however manual quantification is laborious. We sought to validate an automated method of quantifying muscle cross-sectional area (CSA) in patients with pancreatic adenocarcinoma (PDAC).
    Methods: Mid-L3 CT images from patients with PDAC were analyzed: CSAs of skeletal muscle (SM) were measured using manual segmentation and the software AutoMATiCA, and then compared with linear regression.
    Results: Five-hundred-twenty-five unique scans were analyzed. There was robust correlation between manual and automated segmentation for L3 CSA (R
    Conclusions: Automated muscle CSA measurement with AutoMATiCA is highly efficient and yields results highly correlated with manual measurement. These findings support the potential use of high-throughput sarcopenia analysis with abdominal CT scans for both clinical and research purposes.
    MeSH term(s) Adenocarcinoma/complications ; Adenocarcinoma/diagnostic imaging ; Body Composition ; Humans ; Pancreatic Neoplasms/complications ; Pancreatic Neoplasms/diagnostic imaging ; Sarcopenia/complications ; Sarcopenia/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Pancreatic Neoplasms
    Language English
    Publishing date 2022-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2953-1
    ISSN 1879-1883 ; 0002-9610
    ISSN (online) 1879-1883
    ISSN 0002-9610
    DOI 10.1016/j.amjsurg.2022.03.025
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