Institution
Hebron University
Education•Hebron, Palestinian Territory•
About: Hebron University is a education organization based out in Hebron, Palestinian Territory. It is known for research contribution in the topics: Population & Cancer. The organization has 2714 authors who have published 4180 publications receiving 163736 citations.
Papers published on a yearly basis
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Scripps Health1, European Society for Medical Oncology2, American Society of Clinical Oncology3, Marche Polytechnic University4, Karolinska Institutet5, American University of Beirut6, Helsinki University Central Hospital7, University of Ioannina8, Université libre de Bruxelles9, The Royal Marsden NHS Foundation Trust10, University of Alabama at Birmingham11, European Organisation for Research and Treatment of Cancer12, Mayo Clinic13, University of Pittsburgh14, Veterans Health Administration15, Johns Hopkins University16, University of Liverpool17, University of Warwick18, University Medical Center Groningen19, Harvard University20, University of Florida21, University of Virginia22, Roswell Park Cancer Institute23, Hebron University24, University Hospital of Bern25, Vanderbilt University26, University of Texas MD Anderson Cancer Center27, University of Southern California28, Vienna General Hospital29, University of Southern Denmark30, Charité31, University of Texas Southwestern Medical Center32, University Hospital of Basel33, Memorial Sloan Kettering Cancer Center34, Community College of Rhode Island35, Indiana University36, Medical University of Vienna37, University Hospital of Lausanne38, Champalimaud Foundation39, National and Kapodistrian University of Athens40, University of British Columbia41, Uppsala University Hospital42, University of Turin43, European Institute of Oncology44, Brigham and Women's Hospital45, Maine Medical Center46, Institut Gustave Roussy47, Martin Luther University of Halle-Wittenberg48, Beth Israel Deaconess Medical Center49, Mount Sinai Health System50, University of St. Gallen51, University of Zurich52, Netherlands Cancer Institute53, University of Chicago54, New York University55, Katholieke Universiteit Leuven56
TL;DR: A new edition of the ESMO/ASCO Global Curriculum with several new chapters on technical contents such as molecular pathology, translational research or molecular imaging and on conceptual attitudes towards human principles like genetic counselling or survivorship have been integrated in the GC.
Abstract: The European Society for Medical Oncology (ESMO) and the American Society of Clinical Oncology (ASCO) are publishing a new edition of the ESMO/ASCO Global Curriculum (GC) thanks to contribution of 64 ESMO-appointed and 32 ASCO-appointed authors. First published in 2004 and updated in 2010, the GC edition 2016 answers to the need for updated recommendations for the training of physicians in medical oncology by defining the standard to be fulfilled to qualify as medical oncologists. At times of internationalisation of healthcare and increased mobility of patients and physicians, the GC aims to provide state-of-the-art cancer care to all patients wherever they live. Recent progress in the field of cancer research has indeed resulted in diagnostic and therapeutic innovations such as targeted therapies as a standard therapeutic approach or personalised cancer medicine apart from the revival of immunotherapy, requiring specialised training for medical oncology trainees. Thus, several new chapters on technical contents such as molecular pathology, translational research or molecular imaging and on conceptual attitudes towards human principles like genetic counselling or survivorship have been integrated in the GC. The GC edition 2016 consists of 12 sections with 17 subsections, 44 chapters and 35 subchapters, respectively. Besides renewal in its contents, the GC underwent a principal formal change taking into consideration modern didactic principles. It is presented in a template-based format that subcategorises the detailed outcome requirements into learning objectives, awareness, knowledge and skills. Consecutive steps will be those of harmonising and implementing teaching and assessment strategies.
71 citations
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TL;DR: The clinical use of bone alkaline phosphatase enzyme determined by radioimmunoassay and PSA measurement for the diagnosis of bone metastases and progression of prostate cancer is recommended because of the good sensitivity and specificity.
71 citations
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TL;DR: Clinical and virological characteristics of patients with hepatitis D virus (HDV) infection and treatment approaches in different regions world‐wide are poorly defined.
Abstract: Background & Aims
Chronic hepatitis D (delta) is a major global health burden Clinical and virological characteristics of patients with hepatitis D virus (HDV) infection and treatment approaches in different regions world-wide are poorly defined
Methods
The Hepatitis Delta International Network (HDIN) registry was established in 2011 with centres in Europe, Asia, North- and South America Here, we report on clinical/ virological characteristics of the first 1576 patients with ongoing or past HDV infection included in the database until October 2016 and performed a retrospective outcome analysis The primary aim was to investigate if the region of origin was associated with HDV replication and clinical outcome
Results
The majority of patients was male (n = 979, 62%) and the mean age was 367 years (range 1-79, with 9% of patients younger than 20 years) Most patients were HBeAg-negative (77%) and HDV-RNA positive (85%) Cirrhosis was reported in 487% of cases which included 13% of patients with previous or ongoing liver decompensation Hepatocellular carcinoma (HCC) developed in 30 patients (25%) and 44 (36%) underwent liver transplantation Regions of origin were independently associated with clinical endpoints and detectability of HDV RNA Antiviral therapy was administered to 356 patients with different treatment uptakes in different regions Of these, 264 patients were treated with interferon-a and 92 were treated with HBV-Nucs only
Conclusions
The HDIN registry confirms the severity of hepatitis delta but also highlights the heterogeneity of patient characteristics and clinical outcomes in different regions There is an urgent need for novel treatment options for HDV infection
71 citations
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University of Arizona1, Memorial Sloan Kettering Cancer Center2, National Health Service3, Copenhagen University Hospital4, Université catholique de Louvain5, University of Botswana6, University of Texas MD Anderson Cancer Center7, Princess Margaret Cancer Centre8, University of Amsterdam9, Royal Adelaide Hospital10, University of Milano-Bicocca11, First Faculty of Medicine, Charles University in Prague12, University of Oklahoma Health Sciences Center13, Pfizer14, Hebron University15, Innsbruck Medical University16, Free University of Berlin17, Ohio State University18, Oslo University Hospital19, University of Manchester20, Claude Bernard University Lyon 121, Katholieke Universiteit Leuven22
TL;DR: Although the MEK Inhibitor in Low-Grade Serous Ovarian Cancer Study did not meet its primary end point, binimetinib showed activity in LGSOC across the efficacy end points evaluated and a higher response to chemotherapy than expected was observed and KRAS mutation might predict response to binimet inib.
Abstract: PURPOSELow-grade serous ovarian carcinomas (LGSOCs) have historically low chemotherapy responses. Alterations affecting the MAPK pathway, most commonly KRAS/BRAF, are present in 30%-60% of LGSOCs. ...
71 citations
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TL;DR: In this article, a cascade of two 3D patch-wise convolutional neural networks (CNNs) is proposed for white matter lesion segmentation of multiple sclerosis (MS) patient images.
Abstract: In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D patch-wise convolutional neural networks (CNN). The first network is trained to be more sensitive revealing possible candidate lesion voxels while the second network is trained to reduce the number of misclassified voxels coming from the first network. This cascaded CNN architecture tends to learn well from small sets of training data, which can be very interesting in practice, given the difficulty to obtain manual label annotations and the large amount of available unlabeled Magnetic Resonance Imaging (MRI) data. We evaluate the accuracy of the proposed method on the public MS lesion segmentation challenge MICCAI2008 dataset, comparing it with respect to other state-of-the-art MS lesion segmentation tools. Furthermore, the proposed method is also evaluated on two private MS clinical datasets, where the performance of our method is also compared with different recent public available state-of-the-art MS lesion segmentation methods. At the time of writing this paper, our method is the best ranked approach on the MICCAI2008 challenge, outperforming the rest of 60 participant methods when using all the available input modalities (T1-w, T2-w and FLAIR), while still in the top-rank (3rd position) when using only T1-w and FLAIR modalities. On clinical MS data, our approach exhibits a significant increase in the accuracy segmenting of WM lesions when compared with the rest of evaluated methods, highly correlating ($r \ge 0.97$) also with the expected lesion volume.
71 citations
Authors
Showing all 2723 results
Name | H-index | Papers | Citations |
---|---|---|---|
José Baselga | 156 | 707 | 122498 |
M. I. Martínez | 134 | 1251 | 79885 |
Josep Tabernero | 111 | 803 | 68982 |
Jordi Rello | 103 | 694 | 35994 |
Xavier Montalban | 95 | 762 | 52842 |
James M. Downey | 91 | 381 | 29506 |
Enriqueta Felip | 83 | 622 | 53364 |
Joaquim Bellmunt | 82 | 660 | 41472 |
Joan Montaner | 80 | 489 | 22413 |
Marc Miravitlles | 76 | 651 | 25671 |
David H. Salat | 75 | 241 | 36779 |
Eduard Gratacós | 75 | 531 | 20178 |
Alex Rovira | 74 | 356 | 19586 |
Ramon Bataller | 72 | 283 | 19316 |
Maria Buti | 71 | 493 | 26596 |