Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer

Rosenkrantz, Andrew B., Sigmund, Eric E., Johnson, Glyn, Babb, James S., Mussi, Thais C., Melamed, Jonathan, Taneja, Samir S., Lee, Vivian S. and Jensen, Jens H. (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology, 264 (1). pp. 126-135. ISSN 1527-1315

Full text not available from this repository. (Request a copy)

Abstract

PURPOSE: To assess the feasibility of diffusional kurtosis (DK) imaging for distinguishing benign from malignant regions, as well as low- from high-grade malignant regions, within the peripheral zone (PZ) of the prostate in comparison with standard diffusion-weighted (DW) imaging. MATERIALS AND METHODS: The institutional review board approved this retrospective HIPAA-compliant study and waived informed consent. Forty-seven patients with prostate cancer underwent 3-T magnetic resonance imaging by using a pelvic phased-array coil and DW imaging (maximum b value, 2000 sec/mm2). Parametric maps were obtained for apparent diffusion coefficient (ADC); the metric DK (K), which represents non-Gaussian diffusion behavior; and corrected diffusion (D) that accounts for this non-Gaussianity. Two radiologists reviewed these maps and measured ADC, D, and K in sextants positive for cancer at biopsy. Data were analyzed by using mixed-model analysis of variance and receiver operating characteristic curves. RESULTS: Seventy sextants exhibited a Gleason score of 6; 51 exhibited a Gleason score of 7 or 8. K was significantly greater in cancerous sextants than in benign PZ (0.96+/-0.24 vs 0.57+/-0.07, P.99). K exhibited significantly greater sensitivity for differentiating sextants with low- and high-grade cancer than ADC or D (68.6% vs 51.0% and 49.0%, respectively; P

Item Type:	Article
Uncontrolled Keywords:	analysis of variance ,bayes theorem ,biopsy,diagnosis,differential,diffusion ,magnetic resonance imaging ,feasibility studies ,humans ,image interpretation,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Cancer Studies
Depositing User:	Pure Connector
Date Deposited:	15 Sep 2015 10:54
Last Modified:	21 Oct 2022 01:14
URI:	https://ueaeprints.uea.ac.uk/id/eprint/54360
DOI:	10.1148/radiol.12112290

Actions (login required)

View Item