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Proceedings Paper

Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Author(s): Joost van der Putten; Svitlana Zinger; Fons van der Sommen; Peter H. N. de With; Mathias Prokop; John Hermans
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Paper Abstract

In current clinical practice, the resectability of pancreatic ductal adenocarcinoma (PDA) is determined subjec- tively by a physician, which is an error-prone procedure. In this paper, we present a method for automated determination of resectability of PDA from a routine abdominal CT, to reduce such decision errors. The tumor features are extracted from a group of patients with both hypo- and iso-attenuating tumors, of which 29 were resectable and 21 were not. The tumor contours are supplied by a medical expert. We present an approach that uses intensity, shape, and texture features to determine tumor resectability. The best classification results are obtained with fine Gaussian SVM and the L0 Feature Selection algorithms. Compared to expert predictions made on the same dataset, our method achieves better classification results. We obtain significantly better results on correctly predicting non-resectability (+17%) compared to a expert, which is essential for patient treatment (negative prediction value). Moreover, our predictions of resectability exceed expert predictions by approximately 3% (positive prediction value).

Paper Details

Date Published: 27 February 2018
PDF: 12 pages
Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105753O (27 February 2018); doi: 10.1117/12.2291746
Show Author Affiliations
Joost van der Putten, Technische Univ. Eindhoven (Netherlands)
Svitlana Zinger, Technische Univ. Eindhoven (Netherlands)
Fons van der Sommen, Technische Univ. Eindhoven (Netherlands)
Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)
Mathias Prokop, Radboud Univ. Medical Ctr. (Netherlands)
John Hermans, Radboud Univ. Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 10575:
Medical Imaging 2018: Computer-Aided Diagnosis
Nicholas Petrick; Kensaku Mori, Editor(s)

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