Skip to main content

A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions

Publication ,  Conference
Williams, TL; Harrington, KA; Lawrence, SA; Chakraborty, J; Al Efishat, MA; Attiyeh, MA; Askan, G; Chou, Y; Pulvirenti, A; Mcintyre, CA ...
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2020

This paper contributes to the burgeoning field of surgical data science. Specifically, multi-modal 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 of pancreatic cancer with varying risk for malignancy. We combine radiomic analysis of diagnostic computed tomography (CT) with protein markers extracted from the cyst fluid to create a unified prediction model to identify high-risk IPMNs. Patients with high-risk IPMN would be sent for resection, whereas patients with low-risk cystic lesions would be spared an invasive procedure. We extracted radiomic features from CT scans and combined this with cyst-fluid markers. The cyst fluid model yielded an area under the curve (AUC) of 0.74. Adding the QI model improved performance with an AUC of 0.88. Radiomic analysis of routinely acquired CT scans combined with cyst fluid inflammatory markers provides accurate prediction of risk of pancreatic cancer progression.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

ISBN

9781510633971

Publication Date

January 1, 2020

Volume

11315
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Williams, T. L., Harrington, K. A., Lawrence, S. A., Chakraborty, J., Al Efishat, M. A., Attiyeh, M. A., … Simpson, A. L. (2020). A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 11315). https://doi.org/10.1117/12.2566425
Williams, T. L., K. A. Harrington, S. A. Lawrence, J. Chakraborty, M. A. Al Efishat, M. A. Attiyeh, G. Askan, et al. “A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11315, 2020. https://doi.org/10.1117/12.2566425.
Williams TL, Harrington KA, Lawrence SA, Chakraborty J, Al Efishat MA, Attiyeh MA, et al. A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. In: Proceedings of SPIE - The International Society for Optical Engineering. 2020.
Williams, T. L., et al. “A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 11315, 2020. Scopus, doi:10.1117/12.2566425.
Williams TL, Harrington KA, Lawrence SA, Chakraborty J, Al Efishat MA, Attiyeh MA, Askan G, Chou Y, Pulvirenti A, Mcintyre CA, Gonen M, Basturk O, Balachandran VP, Kingham TP, D’angelica MI, Jarnagin WR, Drebin JA, Do RKG, Allen PJ, Simpson AL. A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. Proceedings of SPIE - The International Society for Optical Engineering. 2020.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

ISBN

9781510633971

Publication Date

January 1, 2020

Volume

11315