Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

Andreas Wibmer, Hedvig Hricak, Tatsuo Gondo, Kazuhiro Matsumoto, Harini Veeraraghavan, Duc Fehr, Junting Zheng, Debra Goldman, Chaya Moskowitz, Samson W. Fine, Victor E. Reuter, James Eastham, Evis Sala, Hebert Alberto Vargas

Research output: Contribution to journalArticle

187 Citations (Scopus)

Abstract

Objectives: To investigate Haralick texture analysis of prostate MRI for cancer detection and differentiating Gleason scores (GS). Methods: One hundred and forty-seven patients underwent T2- weighted (T2WI) and diffusion-weighted prostate MRI. Cancers ≥0.5 ml and non-cancerous peripheral (PZ) and transition (TZ) zone tissue were identified on T2WI and apparent diffusion coefficient (ADC) maps, using whole-mount pathology as reference. Texture features (Energy, Entropy, Correlation, Homogeneity, Inertia) were extracted and analysed using generalized estimating equations. Results: PZ cancers (n = 143) showed higher Entropy and Inertia and lower Energy, Correlation and Homogeneity compared to non-cancerous tissue on T2WI and ADC maps (p-values: <.0001–0.008). In TZ cancers (n = 43) we observed significant differences for all five texture features on the ADC map (all p-values: <.0001) and for Correlation (p = 0.041) and Inertia (p = 0.001) on T2WI. On ADC maps, GS was associated with higher Entropy (GS 6 vs. 7: p = 0.0225; 6 vs. >7: p = 0.0069) and lower Energy (GS 6 vs. 7: p = 0.0116, 6 vs. >7: p = 0.0039). ADC map Energy (p = 0.0102) and Entropy (p = 0.0019) were significantly different in GS ≤3 + 4 versus ≥4 + 3 cancers; ADC map Entropy remained significant after controlling for the median ADC (p = 0.0291). Conclusion: Several Haralick-based texture features appear useful for prostate cancer detection and GS assessment. Key Points: • Several Haralick texture features may differentiate non-cancerous and cancerous prostate tissue. • Tumour Energy and Entropy on ADC maps correlate with Gleason score. • T2w-image-derived texture features are not associated with the Gleason score.

Original languageEnglish
Pages (from-to)2840-2850
Number of pages11
JournalEuropean Radiology
Volume25
Issue number10
DOIs
Publication statusPublished - 2015 Oct 13
Externally publishedYes

Keywords

  • Adenocarcinoma
  • Computer-assisted
  • Gleason grading
  • Image processing
  • Magnetic resonance imaging
  • Prostatic neoplasm

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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    Wibmer, A., Hricak, H., Gondo, T., Matsumoto, K., Veeraraghavan, H., Fehr, D., Zheng, J., Goldman, D., Moskowitz, C., Fine, S. W., Reuter, V. E., Eastham, J., Sala, E., & Vargas, H. A. (2015). Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores. European Radiology, 25(10), 2840-2850. https://doi.org/10.1007/s00330-015-3701-8