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European Radiology
Published in: European Radiology 10/2015

01-10-2015 | Urogenital

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

Authors: 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

Published in: European Radiology | Issue 10/2015

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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.
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Metadata
Title
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
Authors
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
Publication date
01-10-2015
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-3701-8

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