Frontiers in Medicine | |
Role of Pre-operative Inflammatory Markers as Predictors of Lymph Node Positivity and Disease Recurrence in Well-Differentiated Pancreatic Neuroendocrine Tumours: Pancreas2000 Research and Educational Program (Course 9) | |
article | |
Lulu Tanno1  Antonio Pea2  Taina Nykänen3  Pooja Prasad4  Ceren Tuncer5  Giovanni Marchegiani2  Stuart Robinson4  | |
[1] Department of General Surgery, University Hospital Southampton NHS Foundation Trust, United Kingdom;Pancreas Institute, University Hospital of Verona (AOUI);Department of Surgery, Hyvinkää Hospital;Freeman Hospital, United Kingdom;School of Medicine, Koç University Research Centre for Translational Medicine | |
关键词: pancreatic neuroendocrine tumour; inflammatory index; lymph node involvement; disease outcome; survival; | |
DOI : 10.3389/fmed.2020.00346 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Frontiers | |
【 摘 要 】
Pancreatic neuroendocrine tumours (PNET) is a rare disease and in the absence of metastases, surgical resection is recommended. Key factors affecting survival in PNETs are the stage and grade of the disease, but there is increasing evidence suggesting lymph node involvement is associated with shorter disease-free and overall survival. Ability to predict the likelihood of lymph node involvement at the time of diagnosis would affect surgical decision making in these patients. A systemic inflammatory index such as neutrophil to lymphocyte ratio or platelet to lymphocyte ratio has been associated with poor prognosis in several cancers. Method: This study is a retrospective multi-centre study. The data including pre-operative inflammatory markers such as haemoglobin, neutrophil, lymphocyte counts and pathological data including number of positive lymph nodes, tumour grade and size, are collected to assess the association between inflammatory index and lymph node involvement. Conclusion: This study aims to assess the value of routinely available pre-operative haematological markers in predicting lymph node involvement in non-functioning PNETs.
【 授权许可】
CC BY
【 预 览 】
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RO202108180002632ZK.pdf | 134KB | download |