scholarly journals Pancreatic intraductal papillary mucinous neoplasms: Current diagnosis and management

2021 ◽  
Vol 13 (12) ◽  
pp. 1880-1895
Author(s):  
Beata Jabłońska ◽  
Paweł Szmigiel ◽  
Sławomir Mrowiec
2020 ◽  
Vol 8 (3) ◽  
pp. 249-255
Author(s):  
Stefano Crippa ◽  
Paolo G Arcidiacono ◽  
Francesco De Cobelli ◽  
Massimo Falconi

2009 ◽  
Vol 7 (3) ◽  
pp. 259-269 ◽  
Author(s):  
Dushyant V. Sahani ◽  
Dana J. Lin ◽  
Aradhana M. Venkatesan ◽  
Nisha Sainani ◽  
Mari Mino–Kenudson ◽  
...  

2017 ◽  
Vol 26 (2) ◽  
pp. 199-202
Author(s):  
Remus Cornea ◽  
Sorina Taban ◽  
Cristian Suciu ◽  
Codruta Lazureanu ◽  
Alis Dema

We hereby present the case of a 58-year-old male who underwent a total gastrectomy for gastric neoplasm. During the surgery, a tumor mass in the jejunum was identified, considered as metastasis, and resected. The histopathological examination of the jejunal lesion showed ectopic pancreas. In this area, two pathological distinct lesions were identified, one histologically compatible with pancreatic intraepithelial neoplasia (PanIN) type 2 lesion and the other with morphologic criteria for endocrine microadenoma. To our knowledge, this is the first case that evidences the presence of a concomitant premalignant exocrine lesion and benign endocrine lesion in a heterotopic pancreas (HP).Abbreviations: HP: heterotopic pancreas; IPMN: Intraductal Papillary Mucinous Neoplasms; PanIN: Pancreatic Intraepithelial Neoplasia; PEN: pancreatic endocrine neoplasm.


2020 ◽  
Vol 14 (11) ◽  
pp. 1009-1020
Author(s):  
Ryota Nakano ◽  
Shin Nishiumi ◽  
Takashi Kobayashi ◽  
Takuya Ikegawa ◽  
Yuzo Kodama ◽  
...  

Aim: The aim of this study was to identify whether metabolite biomarker candidates for pancreatic cancer (PC) could aid detection of intraductal papillary mucinous neoplasms (IPMN), recognized as high-risk factors for PC. Materials & methods: The 12 metabolite biomarker candidates, which were found to be useful to detect PC in our previous study, were evaluated for plasma samples from patients with PC (n = 44) or IPMN (n = 24) or healthy volunteers (n = 46). Results: Regarding the performance of individual biomarkers of PC and PC high-risk IPMN, lysine exhibited the best performance (sensitivity: 67.8%; specificity: 86.9%). The multiple logistic regression analysis-based detection model displayed high sensitivity and specificity values of 92.5 and 90.6%, respectively. Conclusion: Metabolite biomarker candidates for PC are useful for detecting high-risk IPMN, which can progress to PC.


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