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  1. Article: Novel coronavirus (COVID-19) infection: What a doctor on the frontline needs to know.

    Down, Billy / Kulkarni, Sagar / Khan, Ameer Hamid Ahmed / Barker, Benjamin / Tang, Ivan

    Annals of medicine and surgery (2012)

    2020  Volume 55, Page(s) 24–29

    Abstract: Coronavirus disease 2019 (COVID-19) is a zoonotic respiratory infection originating from Wuhan, China. Rapidly spreading from Wuhan to all inhabited continents of the world, the World Health Organisation declared COVID-19 a pandemic on March 11, 2019. ... ...

    Abstract Coronavirus disease 2019 (COVID-19) is a zoonotic respiratory infection originating from Wuhan, China. Rapidly spreading from Wuhan to all inhabited continents of the world, the World Health Organisation declared COVID-19 a pandemic on March 11, 2019. Infected patients present with fever and cough; radiological features include bilateral infiltrates on chest x-ray and computed tomography scanning. Management is supportive with oxygen supplementation, broad-spectrum antibiotics as well as careful fluid balancing. A number of drugs, both new and old, are currently in clinical trials and being used on an experimental basis in clinical practice. The COVID-19 pandemic is the greatest worldwide public health crisis of a generation, and has led to seismic political, economic and social changes. This review provides an overview of COVID-19 for junior doctors who find themselves on a new frontline of healthcare.
    Keywords covid19
    Language English
    Publishing date 2020-05-13
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2745440-X
    ISSN 2049-0801
    ISSN 2049-0801
    DOI 10.1016/j.amsu.2020.05.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Novel coronavirus (COVID-19) infection: What a doctor on the frontline needs to know

    Down, Billy / Kulkarni, Sagar / Ahmed Khan, Ameer Hamid / Barker, Benjamin / Tang, Ivan

    Abstract: Coronavirus disease 2019 (COVID-19) is a zoonotic respiratory infection originating from Wuhan, China. Rapidly spreading from Wuhan to all inhabited continents of the world, the World Health Organisation declared COVID-19 a pandemic on March 11, 2019. ... ...

    Abstract Coronavirus disease 2019 (COVID-19) is a zoonotic respiratory infection originating from Wuhan, China. Rapidly spreading from Wuhan to all inhabited continents of the world, the World Health Organisation declared COVID-19 a pandemic on March 11, 2019. Infected patients present with fever and cough; radiological features include bilateral infiltrates on chest x-ray and computed tomography scanning. Management is supportive with oxygen supplementation, broad-spectrum antibiotics as well as careful fluid balancing. A number of drugs, both new and old, are currently in clinical trials and being used on an experimental basis in clinical practice. The COVID-19 pandemic is the greatest worldwide public health crisis of a generation, and has led to seismic political, economic and social changes. This review provides an overview of COVID-19 for junior doctors who find themselves on a new frontline of healthcare.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #245314
    Database COVID19

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  3. Article ; Online: Novel coronavirus (COVID-19) infection

    Down, Billy / Kulkarni, Sagar / Khan, Ameer Hamid Ahmed / Barker, Benjamin / Tang, Ivan

    Annals of Medicine and Surgery

    What a doctor on the frontline needs to know

    2020  Volume 55, Page(s) 24–29

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2745440-X
    ISSN 2049-0801
    ISSN 2049-0801
    DOI 10.1016/j.amsu.2020.05.014
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Differentiation of High-Grade Glioma and Intracranial Metastasis Using Volumetric Diffusion Tensor Imaging Tractography.

    Holly, Kevin S / Fitz-Gerald, Joseph S / Barker, Benjamin J / Murcia, Derrick / Daggett, Rebekah / Ledbetter, Christina / Gonzalez-Toledo, Eduardo / Sun, Hai

    World neurosurgery

    2018  Volume 120, Page(s) e131–e141

    Abstract: Objective: A reliable, noninvasive method to differentiate high-grade glioma (HGG) and intracranial metastasis (IM) has remained elusive. The aim of this study was to differentiate between HGG and IM using tumoral and peritumoral diffusion tensor ... ...

    Abstract Objective: A reliable, noninvasive method to differentiate high-grade glioma (HGG) and intracranial metastasis (IM) has remained elusive. The aim of this study was to differentiate between HGG and IM using tumoral and peritumoral diffusion tensor imaging characteristics.
    Methods: A semiautomated script generated volumetric regions of interest (ROIs) for the tumor and a peritumoral shell at a predetermined voxel thickness. ROI differences in diffusion tensor imaging-related metrics between HGG and IM groups were estimated, including fractional anisotropy, mean diffusivity, total fiber tract counts, and tract density.
    Results: The HGG group (n = 46) had a significantly higher tumor-to-brain volume ratio than the IM group (n = 35) (P < 0.001). The HGG group exhibited significantly higher mean fractional anisotropy and significantly lower mean diffusivity within peritumoral ROI than the IM group (P < 0.05). The HGG group exhibited significantly higher total tract count and higher tract density in tumoral and peritumoral ROIs than the IM group (P < 0.05). Tumoral tract count and peritumoral tract density were the most optimal metrics to differentiate the groups based on receiver operating characteristic curve analysis. Predictive analysis using receiver operating characteristic curve thresholds was performed on 13 additional participants. Compared with correct clinical diagnoses, the 2 thresholds exhibited equal specificities (66.7%), but the tumoral tract count (85.7%) seemed more sensitive in differentiating the 2 groups.
    Conclusions: Tract count and tract density were significantly different in tumoral and peritumoral regions between HGG and IM. Differences in microenvironmental interactions between the tumor types may cause these tract differences.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Anisotropy ; Area Under Curve ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Brain Neoplasms/secondary ; Diagnosis, Differential ; Diffusion Tensor Imaging ; Female ; Glioma/diagnostic imaging ; Glioma/pathology ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Neoplasm Grading ; Neoplasm Metastasis ; ROC Curve ; Sensitivity and Specificity ; Tumor Burden
    Language English
    Publishing date 2018-08-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2534351-8
    ISSN 1878-8769 ; 1878-8750
    ISSN (online) 1878-8769
    ISSN 1878-8750
    DOI 10.1016/j.wneu.2018.07.230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: High-grade Gliomas Exhibit Higher Peritumoral Fractional Anisotropy and Lower Mean Diffusivity than Intracranial Metastases.

    Holly, Kevin S / Barker, Benjamin J / Murcia, Derrick / Bennett, Rebekah / Kalakoti, Piyush / Ledbetter, Christina / Gonzalez-Toledo, Eduardo / Nanda, Anil / Sun, Hai

    Frontiers in surgery

    2017  Volume 4, Page(s) 18

    Abstract: Differentiating high-grade gliomas and intracranial metastases through non-invasive imaging has been challenging. Here, we retrospectively compared both intratumoral and peritumoral fractional anisotropy (FA), mean diffusivity (MD), and fluid-attenuated ... ...

    Abstract Differentiating high-grade gliomas and intracranial metastases through non-invasive imaging has been challenging. Here, we retrospectively compared both intratumoral and peritumoral fractional anisotropy (FA), mean diffusivity (MD), and fluid-attenuated inversion recovery (FLAIR) measurements between high-grade gliomas and metastases. Two methods were utilized to select peritumoral region of interest (ROI). The first method utilized the manual placement of four ROIs adjacent to the lesion. The second method utilized a semiautomated and proprietary MATLAB script to generate an ROI encompassing the entire tumor. The average peritumoral FA, MD, and FLAIR values were determined within the ROIs for both methods. Forty patients with high-grade gliomas and 44 with metastases were enrolled in this study. Thirty-five patients with high-grade glioma and 30 patients with metastases had FLAIR images. There was no significant difference in age, gender, or race between the two patient groups. The high-grade gliomas had a significantly higher tumor-to-brain area ratio compared to the metastases. There were no differences in average intratumoral FA, MD, and FLAIR values between the two groups. Both the manual sample method and the semiautomated peritumoral ring method resulted in significantly higher peritumoral FA and significantly lower peritumoral MD in high-grade gliomas compared to metastases (
    Language English
    Publishing date 2017-04-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2017.00018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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