1. In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI
- Author
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McCammack, KC, Kane, CJ, Parsons, JK, White, NS, Schenker-Ahmed, NM, Kuperman, JM, Bartsch, H, Desikan, RS, Rakow-Penner, RA, Adams, D, Liss, MA, Mattrey, RF, Bradley, WG, Margolis, DJA, Raman, SS, Shabaik, A, Dale, AM, and Karow, DS
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Prostate Cancer ,Aging ,Prevention ,Cancer ,Urologic Diseases ,Biomedical Imaging ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Aged ,Humans ,Image Processing ,Computer-Assisted ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Neoplasm Grading ,Neoplasm Staging ,Prostatic Neoplasms ,ROC Curve ,Retrospective Studies ,Tumor Burden ,Urology & Nephrology ,Clinical sciences ,Oncology and carcinogenesis - Abstract
BackgroundMagnetic resonance imaging (MRI) is emerging as a robust, noninvasive method for detecting and characterizing prostate cancer (PCa), but limitations remain in its ability to distinguish cancerous from non-cancerous tissue. We evaluated the performance of a novel MRI technique, restriction spectrum imaging (RSI-MRI), to quantitatively detect and grade PCa compared with current standard-of-care MRI.MethodsIn a retrospective evaluation of 33 patients with biopsy-proven PCa who underwent RSI-MRI and standard MRI before radical prostatectomy, receiver-operating characteristic (ROC) curves were performed for RSI-MRI and each quantitative MRI term, with area under the ROC curve (AUC) used to compare each term's ability to differentiate between PCa and normal prostate. Spearman rank-order correlations were performed to assess each term's ability to predict PCa grade in the radical prostatectomy specimens.ResultsRSI-MRI demonstrated superior differentiation of PCa from normal tissue, with AUC of 0.94 and 0.85 for RSI-MRI and conventional diffusion MRI, respectively (P=0.04). RSI-MRI also demonstrated superior performance in predicting PCa aggressiveness, with Spearman rank-order correlation coefficients of 0.53 (P=0.002) and -0.42 (P=0.01) for RSI-MRI and conventional diffusion MRI, respectively, with tumor grade.ConclusionsRSI-MRI significantly improves upon current noninvasive PCa imaging and may potentially enhance its diagnosis and characterization.
- Published
- 2016