scholarly journals Pancreatic-Hydatid-Masquerading-as-Cystic-Neoplasm

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Venkatarami Reddy V ◽  
Sivaramakrishna G ◽  
Chandramaliteeeswaran C ◽  
Sarala S ◽  
Rukmangada N
Keyword(s):  
Cystic Neoplasm

A case of pancreatic mucinous cystic neoplasm: long-term follow-up with ultrasonography

Choonpa Igaku ◽  
2011 ◽  
Vol 38 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Junko FUKUDA ◽  
Sachiko TANAKA ◽  
Miho NAKAO ◽  
Eri UEDA ◽  
Reiko SUZUKI ◽  
...  
Keyword(s):  
Mucinous Cystic Neoplasm ◽  
Cystic Neoplasm ◽  
Long Term Follow Up

Robotic Left Hepatectomy for Mucinous Cystic Neoplasm: Tips for Intrahepatic Bleeding Control

2020 ◽  
pp. 000313482095634
Author(s):  
Iswanto Sucandy ◽  
Janelle Spence ◽  
Sharona Ross ◽  
Alexander Rosemurgy
Keyword(s):  
Mucinous Cystic Neoplasm ◽  
Cystic Neoplasm ◽  
Bleeding Control ◽  
Left Hepatectomy

A nomogram for predicting pancreatic mucinous cystic neoplasm and serous cystic neoplasm

2021 ◽  
Author(s):  
Chengwei Shao ◽  
Xiaochen Feng ◽  
Jieyu Yu ◽  
Yinghao Meng ◽  
Fang Liu ◽  
...  
Keyword(s):  
Mucinous Cystic Neoplasm ◽  
Cystic Neoplasm ◽  
Serous Cystic Neoplasm

scholarly journals Deep Learning-Based Differentiation between Mucinous Cystic Neoplasm and Serous Cystic Neoplasm in the Pancreas Using Endoscopic Ultrasonography

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1052
Author(s):  
Leang Sim Nguon ◽  
Kangwon Seo ◽  
Jung-Hyun Lim ◽  
Tae-Jun Song ◽  
Sung-Hyun Cho ◽  
...  
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Network Model ◽  
Endoscopic Ultrasonography ◽  
Data Augmentation ◽  
Clinical Information ◽  
Training Data ◽  
Fine Tuning ◽  
Cystic Neoplasm ◽  
Cystic Neoplasms

Mucinous cystic neoplasms (MCN) and serous cystic neoplasms (SCN) account for a large portion of solitary pancreatic cystic neoplasms (PCN). In this study we implemented a convolutional neural network (CNN) model using ResNet50 to differentiate between MCN and SCN. The training data were collected retrospectively from 59 MCN and 49 SCN patients from two different hospitals. Data augmentation was used to enhance the size and quality of training datasets. Fine-tuning training approaches were utilized by adopting the pre-trained model from transfer learning while training selected layers. Testing of the network was conducted by varying the endoscopic ultrasonography (EUS) image sizes and positions to evaluate the network performance for differentiation. The proposed network model achieved up to 82.75% accuracy and a 0.88 (95% CI: 0.817–0.930) area under curve (AUC) score. The performance of the implemented deep learning networks in decision-making using only EUS images is comparable to that of traditional manual decision-making using EUS images along with supporting clinical information. Gradient-weighted class activation mapping (Grad-CAM) confirmed that the network model learned the features from the cyst region accurately. This study proves the feasibility of diagnosing MCN and SCN using a deep learning network model. Further improvement using more datasets is needed.

A Young Woman With a Pancreatic Head Cystic Neoplasm

2014 ◽  
Vol 92 (8) ◽  
pp. 565-567
Author(s):  
Lucía de Gregorio Muñiz ◽  
Angela K. Moss ◽  
Neda Farhangmehr Setayeshi ◽  
Antonio Colás Vicente ◽  
Carlos Fernández-del Castillo
Keyword(s):  
Young Woman ◽  
Pancreatic Head ◽  
Cystic Neoplasm

Hepatology: Pancreatic lymphoepithelial cyst mimicking mucinous cystic neoplasm

2015 ◽  
Vol 30 (2) ◽  
pp. 235-235 ◽  
Author(s):  
K Fujita ◽  
M Fujimoto ◽  
H Terajima ◽  
S Yazumi
Keyword(s):  
Mucinous Cystic Neoplasm ◽  
Cystic Neoplasm ◽  
Lymphoepithelial Cyst

Intralobular Distribution of Ovarian-like Stroma in Pancreatic Mucinous Cystic Neoplasms: Hypothesis on Its Tumorigenesis

2021 ◽  
Author(s):  
Yuki Fukumura ◽  
Yuko Kinowaki ◽  
Yoko Matsuda ◽  
Masaru Takase ◽  
Momoko Tonosaki ◽  
...  
Keyword(s):  
Smooth Muscle ◽  
Wnt Pathway ◽  
Smooth Muscle Actin ◽  
Mucinous Cystic Neoplasm ◽  
Cystic Neoplasm ◽  
Pancreatic Ducts ◽  
Low Grade ◽  
Muscle Actin ◽  
Cystic Neoplasms ◽  
Mucinous Cystic Neoplasms

Abstract Pancreatic mucinous cystic neoplasm (MCN) harbors two histological components, tumor epithelia and ovarian-like stroma (OLS). To examine the tumorigenesis of pancreatic MCNs, this study analyzed the distribution, amount, immunohistochemical phenotype, presence of theca cells of the OLS, and the alteration of tumor epithelium of 29 surgically resected MCN cases and compared them with tumor sizes. Non-mucinous type epithelium was present in all low-grade MCNs but its ratio decreased with tumor size (p < 0.05), suggesting that epithelial mucinous changes are a progression phenomenon. The intralobular distribution of OLS was observed in 27.6 % of MCN cases and its existence related to a smaller size (p< 0.05), suggesting intralobular generation of MCNs. Nuclear expression of β-catenin was observed for OLS of everywhere, suggesting consistent activation of the Wnt pathway for OLS. Three MCN cases (10.3%) contained a-smooth muscle actin (SMA)-negative OLS, where OLS surrounding dilated pancreatic ducts or MCN cysts were a-SMA-positive and otherwise negative, suggesting that a-SMA-positivity is an acquired phenomenon of OLS. With this study, we could hypothesize that pancreatic MCNs may generate intralobularly. Epithelial mucinous change and a-SMA-positivity of OLS may be progression phenomena. This is the first study to show the intralobular distribution of OLS.

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