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Surgical strategies for treatment of malignant pancreatic tumors: extended, standard or local surgery?

Overview of attention for article published in World Journal of Surgical Oncology, November 2008
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Title
Surgical strategies for treatment of malignant pancreatic tumors: extended, standard or local surgery?
Published in
World Journal of Surgical Oncology, November 2008
DOI 10.1186/1477-7819-6-123
Pubmed ID
Authors

Matthias Glanemann, Baomin Shi, Feng Liang, Xiao-Gang Sun, Marcus Bahra, Dietmar Jacob, Ulf Neumann, Peter Neuhaus

Abstract

Tumor related pancreatic surgery has progressed significantly during recent years. Pancreatoduodenectomy (PD) with lymphadenectomy, including vascular resection, still presents the optimal surgical procedure for carcinomas in the head of pancreas. For patients with small or low-grade malignant neoplasms, as well as small pancreatic metastases located in the mid-portion of pancreas, central pancreatectomy (CP) is emerging as a safe and effective option with a low risk of developing de-novo exocrine and/or endocrine insufficiency. Total pancreatectomy (TP) is not as risky as it was years ago and can nowadays safely be performed, but its indication is limited to locally extended tumors that cannot be removed by PD or distal pancreatectomy (DP) with tumor free surgical margins. Consequently, TP has not been adopted as a routine procedure by most surgeons. On the other hand, an aggressive attitude is required in case of advanced distal pancreatic tumors, provided that safe and experienced surgery is available. Due to the development of modern instruments, laparoscopic operations became more and more successful, even in malignant pancreatic diseases. This review summarizes the recent literature on the above mentioned topics.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
France 1 2%
India 1 2%
Slovakia 1 2%
China 1 2%
Unknown 40 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Professor 6 13%
Student > Doctoral Student 6 13%
Student > Bachelor 5 11%
Professor > Associate Professor 5 11%
Other 11 24%
Unknown 1 2%
Readers by discipline Count As %
Medicine and Dentistry 40 89%
Agricultural and Biological Sciences 2 4%
Engineering 1 2%
Unknown 2 4%