Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

Geert J. S. Litjens; Henkjan J. Huisman; Robin M. Elliott; Natalie Nc. Shih; Michael D. Feldman; Satish E. Viswanath; Jurgen J. Fütterer; Joyce G. R. Bomers; Anant Madabhushi

doi:10.1117/1.JMI.1.3.035001

27 October 2014 Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

Geert J. S. Litjens, Henkjan J. Huisman, Robin M. Elliott, Natalie Nc. Shih, Michael D. Feldman, Satish E. Viswanath, Jurgen J. Fütterer, Joyce G. R. Bomers, Anant Madabhushi

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 3, 035001 (October 2014). https://doi.org/10.1117/1.JMI.1.3.035001

Abstract

Laser interstitial thermotherapy (LITT) is a relatively new focal therapy technique for the ablation of localized prostate cancer. In this study, for the first time, we are integrating ex vivo pathology and magnetic resonance imaging (MRI) to assess the imaging characteristics of prostate cancer and treatment changes following LITT. Via a unique clinical trial, which gave us the availability of ex vivo histology and pre- and post-LITT MRIs, (1) we investigated the imaging characteristics of treatment effects and residual disease, and (2) evaluated treatment-induced feature changes in the ablated area relative to the residual disease. First, a pathologist annotated the ablated area and the residual disease on the ex vivo histology. Subsequently, we transferred the annotations to the post-LITT MRI using a semi-automatic elastic registration. The pre- and post-LITT MRIs were registered and features were extracted. A scoring metric based on the change in median pre- and post-LITT feature values was introduced, which allowed us to identify the most treatment responsive features. Our results show that (1) image characteristics for treatment effects and residual disease are different, and (2) the change of feature values between pre- and post-LITT MRIs can be a quantitative biomarker for treatment response. Finally, using feature change improved discrimination between the residual disease and treatment effects.

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Geert J. S. Litjens, Henkjan J. Huisman, Robin M. Elliott, Natalie Nc. Shih, Michael D. Feldman, Satish E. Viswanath, Jurgen J. Fütterer, Joyce G. R. Bomers, and Anant Madabhushi "Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy," Journal of Medical Imaging 1(3), 035001 (27 October 2014). https://doi.org/10.1117/1.JMI.1.3.035001

Published: 27 October 2014

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