Prediction of Pancreatic Neuroendocrine Tumor Grade Based on CT Features and Texture Analysis

The purposes of this study were to assess whether CT texture analysis and CT features are predictive of pancreatic neuroendocrine tumor (PNET) grade based on the World Health Organization (WHO) classification and to identify features related to disease progression after surgery. Preoperative contras...

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Vydané v:	American journal of roentgenology (1976) Ročník 210; číslo 2; s. 341
Hlavní autori:	Canellas, Rodrigo, Burk, Kristine S, Parakh, Anushri, Sahani, Dushyant V
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.02.2018
Predmet:	Contrast Media Disease Progression Female Humans Magnetic Resonance Imaging Male Middle Aged Neoplasm Grading Neuroendocrine Tumors - diagnostic imaging Neuroendocrine Tumors - pathology Neuroendocrine Tumors - surgery Pancreatic Neoplasms - diagnostic imaging Pancreatic Neoplasms - pathology Pancreatic Neoplasms - surgery Postoperative Complications - diagnostic imaging Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed CT texture analysis pancreatic neuroendocrine tumors WHO classification
ISSN:	1546-3141, 1546-3141
On-line prístup:	Zistit podrobnosti o prístupe
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