Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms

Purpose: Our paper contributes to the burgeoning field of surgical data science. Specifically, multimodal integration of relevant patient data is used to determine who should undergo a complex pancreatic resection. Intraductal papillary mucinous neoplasms (IPMNs) represent cystic precursor lesions o...

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Veröffentlicht in:J Med Imaging (Bellingham)
Hauptverfasser: Harrington, Kate A., Williams, Travis L., Lawrence, Sharon A., Chakraborty, Jayasree, Al Efishat, Mohammad A., Attiyeh, Marc A., Askan, Gokce, Chou, Yuting, Pulvirenti, Alessandra, McIntyre, Caitlin A., Gonen, Mithat, Basturk, Olca, Balachandran, Vinod P., Kingham, T. Peter, D’Angelica, Michael I., Jarnagin, William R., Drebin, Jeffrey A., Do, Richard K., Allen, Peter J., Simpson, Amber L.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2020
Schlagworte:
Special Section on Interventional and Surgical Data Science
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7315109/
https://ncbi.nlm.nih.gov/pubmed/32613028
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.3.031507
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