article Open AccessTop 1% cited

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 · 2015 · Vol. 25(10) · pp. 2840–2850

Andreas G. Wibmer✉(Memorial Sloan Kettering Cancer Center)Hedvig Hricak(Memorial Sloan Kettering Cancer Center)Tatsuo Gondo(Memorial Sloan Kettering Cancer Center)Kazuhiro Matsumoto(Memorial Sloan Kettering Cancer Center)Harini Veeraraghavan(Memorial Sloan Kettering Cancer Center)Duc Fehr(Memorial Sloan Kettering Cancer Center)Junting Zheng(Memorial Sloan Kettering Cancer Center)Debra A. Goldman(Memorial Sloan Kettering Cancer Center)Chaya S. Moskowitz(Memorial Sloan Kettering Cancer Center)Samson W. Fine(Memorial Sloan Kettering Cancer Center)Victor E. Reuter(Memorial Sloan Kettering Cancer Center)James A. Eastham(Memorial Sloan Kettering Cancer Center)Evis Sala(Memorial Sloan Kettering Cancer Center)Hebert Alberto Vargas(Memorial Sloan Kettering Cancer Center)

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Prostate Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Prostate Cancer Treatment and ResearchProstate cancerMedicineProstateEffective diffusion coefficientMagnetic resonance imagingNuclear medicineCancerRadiologyInternal medicine

MeSH terms

AdultAgedDiagnosis, DifferentialHumansImage Processing, Computer-AssistedMaleMiddle AgedProstatectomyProstatic NeoplasmsRetrospective StudiesDiffusion Magnetic Resonance ImagingTumor BurdenNeoplasm Grading

Citations

399

FWCI

26.07

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100%

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Cited by

Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference