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 |
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