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  1. Artikel: Diffuse Idiopathic calcinosis cutis: a case report in a 13-year-old Syrian boy.

    Tawekji, Talha / Abdul-Baki, Mohammad-Nasan / Dhemesh, Yaseen / Douri, Thaer

    Oxford medical case reports

    2020  Band 2020, Heft 7, Seite(n) omaa054

    Abstract: Calcinosis cutis is characterized by the deposition of calcium salts in the skin and subcutaneous tissue. It is divided into the following subtypes: dystrophic, metastatic, iatrogenic, idiopathic and calciphylaxis. In this case, we report a 13-year-old ... ...

    Abstract Calcinosis cutis is characterized by the deposition of calcium salts in the skin and subcutaneous tissue. It is divided into the following subtypes: dystrophic, metastatic, iatrogenic, idiopathic and calciphylaxis. In this case, we report a 13-year-old Syrian boy with idiopathic calcinosis cutis, the lesions were unusually widespread, unlike the common condition which is usually localized to one area. The case was unrelated to any systemic or local disorders, and the patient had no complications, so no treatment was planned. As the best of our knowledge, there are very few cases of diffuse or widespread idiopathic calcinosis cutis. We analyzed the clinical, laboratory, radiographical and pathological characteristics of our patient, which helped us to reach the final diagnosis. We will discuss the pathogenesis, investigation and management of this disease.
    Sprache Englisch
    Erscheinungsdatum 2020-07-31
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2766251-2
    ISSN 2053-8855
    ISSN 2053-8855
    DOI 10.1093/omcr/omaa054
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: The substantial awareness role of web-based and social media platforms in developing countries during a pandemic scenario: the example of COVID-19.

    Abdul-Baki, Mohammad-Nasan / Dhemesh, Yaseen / Alasadi, Lugien / Alsuliman, Tamim

    Journal of public health (Oxford, England)

    2019  Band 42, Heft 3, Seite(n) 642–643

    Abstract: Background: During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for classical ... ...

    Abstract Background: During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for classical entities, especially in a war-torn country with a fragile health system. In this context, the role of non-governmental scientific organizations was proven, filling the gap between original scientific sources and a non-English speaking population.
    Methods: We reviewed an example of an organization named Syrian Researchers, which publishes based-on-reliable-sources of scientific content and has massive reachability across Middle East and beyond.
    Results: We strongly believe that this model is a simple and suitable approach that may be helpful for other low-income or war-torn countries in the context of health-related disasters.
    Conclusions: This subject is of high importance and we believe that this approach may ameliorate public health knowledge, thus, participate in defying the COVID-19 consequences.
    Mesh-Begriff(e) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Developing Countries/statistics & numerical data ; Disease Outbreaks/prevention & control ; Humans ; Information Dissemination/methods ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; SARS-CoV-2 ; Social Media ; Syria/epidemiology
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2019-11-12
    Erscheinungsland England
    Dokumenttyp Letter
    ZDB-ID 2142082-8
    ISSN 1741-3850 ; 1741-3842
    ISSN (online) 1741-3850
    ISSN 1741-3842
    DOI 10.1093/pubmed/fdaa075
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Ollier disease: the first report in Syria.

    Dhemesh, Yaseen / Tawekji, Talha / Abdul-Baki, Mohammad-Nasan / Abi-Zamr, Ghazal / Ali, Sawssan

    Oxford medical case reports

    2020  Band 2020, Heft 1, Seite(n) omz145

    Abstract: Ollier disease is a rare nonhereditary skeletal disorder, characterized by multiple enchondromas, which are noncancerous growth of cartilage. In this report, we present a case of Ollier disease in a 10-year-old Syrian boy. The patient presented with ... ...

    Abstract Ollier disease is a rare nonhereditary skeletal disorder, characterized by multiple enchondromas, which are noncancerous growth of cartilage. In this report, we present a case of Ollier disease in a 10-year-old Syrian boy. The patient presented with multiple boney masses on hands; he had a history of pathological fractures when he was 5, which caused crippling. We analyzed the clinical, radiographical and pathological characteristics of our patient, which helped us to reach the final diagnosis. Ollier disease is a benign bone tumor, but it has a risk of malignant transformation into chondrosarcoma. The aim of this report is to document the presence of Ollier disease in Syria to help other Syrian physicians considering this disease in the differential diagnosis if they face similar presentations.
    Sprache Englisch
    Erscheinungsdatum 2020-01-31
    Erscheinungsland England
    Dokumenttyp Case Reports
    ZDB-ID 2766251-2
    ISSN 2053-8855
    ISSN 2053-8855
    DOI 10.1093/omcr/omz145
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: The substantial awareness role of web-based and social media platforms in developing countries during a pandemic scenario: the example of COVID-19

    Abdul-Baki, Mohammad-Nasan / Dhemesh, Yaseen / Alasadi, Lugien / Alsuliman, Tamim

    J Public Health (Oxf)

    Abstract: BACKGROUND: During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for classical ... ...

    Abstract BACKGROUND: During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for classical entities, especially in a war-torn country with a fragile health system. In this context, the role of non-governmental scientific organizations was proven, filling the gap between original scientific sources and a non-English speaking population. METHODS: We reviewed an example of an organization named Syrian Researchers, which publishes based-on-reliable-sources of scientific content and has massive reachability across Middle East and beyond. RESULTS: We strongly believe that this model is a simple and suitable approach that may be helpful for other low-income or war-torn countries in the context of health-related disasters. CONCLUSIONS: This subject is of high importance and we believe that this approach may ameliorate public health knowledge, thus, participate in defying the COVID-19 consequences.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #506093
    Datenquelle COVID19

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  5. Artikel ; Online: The substantial awareness role of web-based and social media platforms in developing countries during a pandemic scenario

    Abdul-Baki, Mohammad-Nasan / Dhemesh, Yaseen / Alasadi, Lugien / Alsuliman, Tamim

    Journal of Public Health

    the example of COVID-19

    2020  Band 42, Heft 3, Seite(n) 642–643

    Abstract: Abstract Background During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for ... ...

    Abstract Abstract Background During the outbreak of coronavirus COVID-19, social media platforms have shown effectiveness in information dissemination. Delivering evidence-based medical knowledge and trustworthy recommendations is a difficult mission for classical entities, especially in a war-torn country with a fragile health system. In this context, the role of non-governmental scientific organizations was proven, filling the gap between original scientific sources and a non-English speaking population. Methods We reviewed an example of an organization named Syrian Researchers, which publishes based-on-reliable-sources of scientific content and has massive reachability across Middle East and beyond. Results We strongly believe that this model is a simple and suitable approach that may be helpful for other low-income or war-torn countries in the context of health-related disasters. Conclusions This subject is of high importance and we believe that this approach may ameliorate public health knowledge, thus, participate in defying the COVID-19 consequences.
    Schlagwörter Public Health, Environmental and Occupational Health ; General Medicine ; covid19
    Sprache Englisch
    Verlag Oxford University Press (OUP)
    Erscheinungsland uk
    Dokumenttyp Artikel ; Online
    ZDB-ID 2142082-8
    ISSN 1741-3842
    ISSN 1741-3842
    DOI 10.1093/pubmed/fdaa075
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.B 2186: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  6. Artikel ; Online: A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

    LaBella, Dominic / Khanna, Omaditya / McBurney-Lin, Shan / Mclean, Ryan / Nedelec, Pierre / Rashid, Arif S / Tahon, Nourel Hoda / Altes, Talissa / Baid, Ujjwal / Bhalerao, Radhika / Dhemesh, Yaseen / Floyd, Scott / Godfrey, Devon / Hilal, Fathi / Janas, Anastasia / Kazerooni, Anahita / Kent, Collin / Kirkpatrick, John / Kofler, Florian /
    Leu, Kevin / Maleki, Nazanin / Menze, Bjoern / Pajot, Maxence / Reitman, Zachary J / Rudie, Jeffrey D / Saluja, Rachit / Velichko, Yury / Wang, Chunhao / Warman, Pranav I / Sollmann, Nico / Diffley, David / Nandolia, Khanak K / Warren, Daniel I / Hussain, Ali / Fehringer, John Pascal / Bronstein, Yulia / Deptula, Lisa / Stein, Evan G / Taherzadeh, Mahsa / Portela de Oliveira, Eduardo / Haughey, Aoife / Kontzialis, Marinos / Saba, Luca / Turner, Benjamin / Brüßeler, Melanie M T / Ansari, Shehbaz / Gkampenis, Athanasios / Weiss, David Maximilian / Mansour, Aya / Shawali, Islam H / Yordanov, Nikolay / Stein, Joel M / Hourani, Roula / Moshebah, Mohammed Yahya / Abouelatta, Ahmed Magdy / Rizvi, Tanvir / Willms, Klara / Martin, Dann C / Okar, Abdullah / D'Anna, Gennaro / Taha, Ahmed / Sharifi, Yasaman / Faghani, Shahriar / Kite, Dominic / Pinho, Marco / Haider, Muhammad Ammar / Alonso-Basanta, Michelle / Villanueva-Meyer, Javier / Rauschecker, Andreas M / Nada, Ayman / Aboian, Mariam / Flanders, Adam / Bakas, Spyridon / Calabrese, Evan

    Scientific data

    2024  Band 11, Heft 1, Seite(n) 496

    Abstract: Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and ...

    Abstract Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by expert manually refined segmentations of three distinct meningioma sub-compartments: enhancing tumor, non-enhancing tumor, and surrounding non-enhancing T2/FLAIR hyperintensity. Basic demographic data are provided including age at time of initial imaging, sex, and CNS WHO grade. The goal of releasing this dataset is to facilitate the development of automated computational methods for meningioma segmentation and expedite their incorporation into clinical practice, ultimately targeting improvement in the care of meningioma patients.
    Mesh-Begriff(e) Meningioma/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Meningeal Neoplasms/diagnostic imaging ; Male ; Female ; Image Processing, Computer-Assisted/methods ; Middle Aged ; Aged
    Sprache Englisch
    Erscheinungsdatum 2024-05-15
    Erscheinungsland England
    Dokumenttyp Journal Article ; Dataset
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03350-9
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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