Title |
The Impact of Histologic Phenotype in the Treatment of Sinonasal Cancer
|
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Published in |
Advances in Therapy, September 2017
|
DOI | 10.1007/s12325-017-0605-9 |
Pubmed ID | |
Authors |
Fernando López, Valerie J. Lund, Carlos Suárez, Carl H. Snyderman, Nabil F. Saba, K. Thomas Robbins, Vincent Vander Poorten, Primož Strojan, William M. Mendenhall, Alessandra Rinaldo, Alfio Ferlito |
Abstract |
The management of sinonasal cancer is a challenge due to its low occurrence and anatomical and significant diversity of histological types. The therapeutic modality used should be tailored individually according to the histology, tumour stage, molecular profile and previous treatments. The clinical management of sinonasal cancer has improved greatly owing to developments in endoscopic surgery and precision radiotherapy. Complete surgical resection is the mainstay of sinonasal malignancies' management but multimodality therapy is associated with improved outcomes in certain histologies. The recognition of various histological types with biological behaviours more suitable for non-surgical modalities has allowed treatment protocols to become more tailored to the disease. In this review we aim to describe and to summarise the current data guiding the management of sinonasal cancer with emphasis on phenotypic variation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 3 | 10% |
Researcher | 3 | 10% |
Student > Postgraduate | 3 | 10% |
Student > Doctoral Student | 3 | 10% |
Student > Master | 3 | 10% |
Other | 6 | 19% |
Unknown | 10 | 32% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 14 | 45% |
Arts and Humanities | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Unspecified | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 39% |