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Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study

Author

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  • Xiaojian Chen
  • Kiyoko Oshima
  • Diane Schott
  • Hui Wu
  • William Hall
  • Yingqiu Song
  • Yalan Tao
  • Dingjie Li
  • Cheng Zheng
  • Paul Knechtges
  • Beth Erickson
  • X Allen Li

Abstract

Purpose: In an effort for early assessment of treatment response, we investigate radiation induced changes in quantitative CT features of tumor during the delivery of chemoradiation therapy (CRT) for pancreatic cancer. Methods: Diagnostic-quality CT data acquired daily during routine CT-guided CRT using a CT-on-rails for 20 pancreatic head cancer patients were analyzed. On each daily CT, the pancreatic head, the spinal cord and the aorta were delineated and the histograms of CT number (CTN) in these contours were extracted. Eight histogram-based radiomic metrics including the mean CTN (MCTN), peak position, volume, standard deviation (SD), skewness, kurtosis, energy and entropy were calculated for each fraction. Paired t-test was used to check the significance of the change of specific metric at specific time. GEE model was used to test the association between changes of metrics over time for different pathology responses. Results: In general, CTN histogram in the pancreatic head (but not in spinal cord) changed during the CRT delivery. Changes from the 1st to the 26th fraction in MCTN ranged from -15.8 to 3.9 HU with an average of -4.7 HU (p

Suggested Citation

  • Xiaojian Chen & Kiyoko Oshima & Diane Schott & Hui Wu & William Hall & Yingqiu Song & Yalan Tao & Dingjie Li & Cheng Zheng & Paul Knechtges & Beth Erickson & X Allen Li, 2017. "Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0178961
    DOI: 10.1371/journal.pone.0178961
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    Cited by:

    1. Luca Cozzi & Tiziana Comito & Antonella Fogliata & Ciro Franzese & Davide Franceschini & Cristiana Bonifacio & Angelo Tozzi & Lucia Di Brina & Elena Clerici & Stefano Tomatis & Giacomo Reggiori & Fran, 2019. "Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-11, January.

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