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


Authors: 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.
Article Title: Haralick texture analysis of prostate MRI: Utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
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. © 2015, European Society of Radiology.
Keywords: adult; aged; middle aged; cancer surgery; major clinical study; cancer patient; nuclear magnetic resonance imaging; magnetic resonance imaging; cancer diagnosis; adenocarcinoma; image analysis; analytic method; pathology; retrospective study; prostate cancer; gleason score; correlation analysis; statistical significance; prostatectomy; image processing; energy; diffusion weighted imaging; diffusion coefficient; nuclear magnetic resonance scanner; prostatic neoplasm; gleason grading; entropy; human; male; priority journal; article; computer-assisted; haralick texture analysis
Journal Title: European Radiology
Volume: 25
Issue: 10
ISSN: 0938-7994
Publisher: Springer  
Date Published: 2015-10-01
Start Page: 2840
End Page: 2850
Language: English
DOI: 10.1007/s00330-015-3701-8
PROVIDER: scopus
PUBMED: 25991476
PMCID: PMC5026307
DOI/URL:
Notes: Export Date: 2 October 2015 -- Source: Scopus
Altmetric Score
MSK Authors
  1. Junting Zheng
    133 Zheng
  2. Evis Sala
    95 Sala
  3. Chaya S. Moskowitz
    173 Moskowitz
  4. Hedvig Hricak
    333 Hricak
  5. James Eastham
    427 Eastham
  6. Samson W Fine
    316 Fine
  7. Victor Reuter
    922 Reuter
  8. Debra Alyssa Goldman
    97 Goldman
  9. Tatsuo Gondo
    8 Gondo
  10. Andreas Georg Wibmer
    18 Wibmer
  11. Duc Alexandre Fehr
    6 Fehr