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Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis.

Publication ,  Journal Article
Attiyeh, MA; Chakraborty, J; Doussot, A; Langdon-Embry, L; Mainarich, S; Gönen, M; Balachandran, VP; D'Angelica, MI; DeMatteo, RP; Jarnagin, WR ...
Published in: Ann Surg Oncol
April 2018

BACKGROUND: Pancreatic cancer is a highly lethal cancer with no established a priori markers of survival. Existing nomograms rely mainly on post-resection data and are of limited utility in directing surgical management. This study investigated the use of quantitative computed tomography (CT) features to preoperatively assess survival for pancreatic ductal adenocarcinoma (PDAC) patients. METHODS: A prospectively maintained database identified consecutive chemotherapy-naive patients with CT angiography and resected PDAC between 2009 and 2012. Variation in CT enhancement patterns was extracted from the tumor region using texture analysis, a quantitative image analysis tool previously described in the literature. Two continuous survival models were constructed, with 70% of the data (training set) using Cox regression, first based only on preoperative serum cancer antigen (CA) 19-9 levels and image features (model A), and then on CA19-9, image features, and the Brennan score (composite pathology score; model B). The remaining 30% of the data (test set) were reserved for independent validation. RESULTS: A total of 161 patients were included in the analysis. Training and test sets contained 113 and 48 patients, respectively. Quantitative image features combined with CA19-9 achieved a c-index of 0.69 [integrated Brier score (IBS) 0.224] on the test data, while combining CA19-9, imaging, and the Brennan score achieved a c-index of 0.74 (IBS 0.200) on the test data. CONCLUSION: We present two continuous survival prediction models for resected PDAC patients. Quantitative analysis of CT texture features is associated with overall survival. Further work includes applying the model to an external dataset to increase the sample size for training and to determine its applicability.

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Published In

Ann Surg Oncol

DOI

EISSN

1534-4681

Publication Date

April 2018

Volume

25

Issue

4

Start / End Page

1034 / 1042

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Survival Rate
  • Prospective Studies
  • Prognosis
  • Pancreatic Neoplasms
  • Pancreatic Intraductal Neoplasms
  • Pancreatectomy
  • Oncology & Carcinogenesis
  • Middle Aged
  • Male
 

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Attiyeh, M. A., Chakraborty, J., Doussot, A., Langdon-Embry, L., Mainarich, S., Gönen, M., … Do, R. K. (2018). Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. Ann Surg Oncol, 25(4), 1034–1042. https://doi.org/10.1245/s10434-017-6323-3
Attiyeh, Marc A., Jayasree Chakraborty, Alexandre Doussot, Liana Langdon-Embry, Shiana Mainarich, Mithat Gönen, Vinod P. Balachandran, et al. “Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis.Ann Surg Oncol 25, no. 4 (April 2018): 1034–42. https://doi.org/10.1245/s10434-017-6323-3.
Attiyeh MA, Chakraborty J, Doussot A, Langdon-Embry L, Mainarich S, Gönen M, et al. Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. Ann Surg Oncol. 2018 Apr;25(4):1034–42.
Attiyeh, Marc A., et al. “Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis.Ann Surg Oncol, vol. 25, no. 4, Apr. 2018, pp. 1034–42. Pubmed, doi:10.1245/s10434-017-6323-3.
Attiyeh MA, Chakraborty J, Doussot A, Langdon-Embry L, Mainarich S, Gönen M, Balachandran VP, D’Angelica MI, DeMatteo RP, Jarnagin WR, Kingham TP, Allen PJ, Simpson AL, Do RK. Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. Ann Surg Oncol. 2018 Apr;25(4):1034–1042.
Journal cover image

Published In

Ann Surg Oncol

DOI

EISSN

1534-4681

Publication Date

April 2018

Volume

25

Issue

4

Start / End Page

1034 / 1042

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Survival Rate
  • Prospective Studies
  • Prognosis
  • Pancreatic Neoplasms
  • Pancreatic Intraductal Neoplasms
  • Pancreatectomy
  • Oncology & Carcinogenesis
  • Middle Aged
  • Male