title: Multi-parametric 3D quantitative ultrasound vibro-elastography imaging for detecting palpable prostate tumors.
abstract: In this article, we describe a system for detecting dominant prostate tumors, based on a combination of features extracted from a novel multi-parametric quantitative ultrasound elastography technique. The performance of the system was validated on a data-set acquired from n = 10 patients undergoing radical prostatectomy. Multi-frequency steady-state mechanical excitations were applied to each patient's prostate through the perineum and prostate tissue displacements were captured by a transrectal ultrasound system. 3D volumetric data including absolute value of tissue elasticity, strain and frequency-response were computed for each patient. Based on the combination of all extracted features, a random forest classification algorithm was used to separate cancerous regions from normal tissue, and to compute a measure of cancer probability. Registered whole mount histopathology images of the excised prostate gland were used as a ground truth of cancer distribution for classifier training. An area under receiver operating characteristic curve of 0.82 +/- 0.01 was achieved in a leave-one-patient-out cross validation. Our results show the potential of multi-parametric quantitative elastography for prostate cancer detection for the first time in a clinical setting, and justify further studies to establish whether the approach can have clinical use.
authors.forename: Omid
authors.initials: O
authors.lastname: Mohareri
authors.forename: Angelica
authors.initials: A
authors.lastname: Ruszkowski
authors.forename: Julio
authors.initials: J
authors.lastname: Lobo
authors.forename: Joseph
authors.initials: J
authors.lastname: Ischia
authors.forename: Ali
authors.initials: A
authors.lastname: Baghani
authors.forename: Guy
authors.initials: G
authors.lastname: Nir
authors.forename: Hani
authors.initials: H
authors.lastname: Eskandari
authors.forename: Edward
authors.initials: E
authors.lastname: Jones
authors.forename: Ladan
authors.initials: L
authors.lastname: Fazli
authors.forename: Larry
authors.initials: L
authors.lastname: Goldenberg
authors.forename: Mehdi
authors.initials: M
authors.lastname: Moradi
authors.forename: Septimiu
authors.initials: S
authors.lastname: Salcudean
mesh_terms: D000465:Algorithms; D054459:Elasticity Imaging Techniques; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D064847:Multimodal Imaging / Q000379:methods; D010173:Palpation; D010363:Pattern Recognition, Automated / Q000379:methods*; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity