OBJECTIVES: A prospective multicenter validation of the ability of 1H magnetic resonance spectroscopic imaging (MRSI) to distinguish cancer from noncancer tissues throughout the prostate with histopathology of the resected organ as the standard of reference. MATERIALS AND METHODS: Institutional review board approval was obtained for all centers and all participating patients and volunteers provided written informed consent. Ninety-nine patients and 10 age-matched volunteers from 8 participating centers underwent magnetic resonance imaging and 3-dimensional MRSI with an endorectal coil at 1.5 T. Selected MRSI voxels were assigned to the peripheral zone (PZ), the central gland (CG), the periurethral area, and cancer tissue. Signal ratios of choline + creatine to citrate (CC/C) in spectra of these voxels were automatically calculated. Receiver operating characteristic curves were constructed to assess the accuracy by which this ratio can discriminate cancer from noncancer tissue. RESULTS: A total of 70% of voxels in noncancer tissue and 90% of voxels in cancer tissue passed the quality check of the automatically fitted spectra. The median CC/C was significantly different between any noncancer and cancer tissue (P < 0.0001), but not between the different contributing centers. CC/C increased with cancer focus size (P =0.0008) and certainty of voxel mapping to histopathologic cancer site (P 0.0001). The area under the receiver operating characteristic curve for discriminating voxels of cancer tissue from noncancer tissue was 0.88 (confidence interval: 0.84-0.92) in the PZ and 0.76 (confidence interval: 0.71- 0.81) in the CG.
OBJECTIVES: A prospective multicenter validation of the ability of 1H magnetic resonance spectroscopic imaging (MRSI) to distinguish cancer from noncancer tissues throughout the prostate with histopathology of the resected organ as the standard of reference. MATERIALS AND METHODS: Institutional review board approval was obtained for all centers and all participating patients and volunteers provided written informed consent. Ninety-nine patients and 10 age-matched volunteers from 8 participating centers underwent magnetic resonance imaging and 3-dimensional MRSI with an endorectal coil at 1.5 T. Selected MRSI voxels were assigned to the peripheral zone (PZ), the central gland (CG), the periurethral area, and cancer tissue. Signal ratios of choline + creatine to citrate (CC/C) in spectra of these voxels were automatically calculated. Receiver operating characteristic curves were constructed to assess the accuracy by which this ratio can discriminate cancer from noncancer tissue. RESULTS: A total of 70% of voxels in noncancer tissue and 90% of voxels in cancer tissue passed the quality check of the automatically fitted spectra. The median CC/C was significantly different between any noncancer and cancer tissue (P < 0.0001), but not between the different contributing centers. CC/C increased with cancer focus size (P =0.0008) and certainty of voxel mapping to histopathologic cancer site (P 0.0001). The area under the receiver operating characteristic curve for discriminating voxels of cancer tissue from noncancer tissue was 0.88 (confidence interval: 0.84-0.92) in the PZ and 0.76 (confidence interval: 0.71- 0.81) in the CG.
Authors: Mark Mikkelsen; Peter B Barker; Pallab K Bhattacharyya; Maiken K Brix; Pieter F Buur; Kim M Cecil; Kimberly L Chan; David Y-T Chen; Alexander R Craven; Koen Cuypers; Michael Dacko; Niall W Duncan; Ulrike Dydak; David A Edmondson; Gabriele Ende; Lars Ersland; Fei Gao; Ian Greenhouse; Ashley D Harris; Naying He; Stefanie Heba; Nigel Hoggard; Tun-Wei Hsu; Jacobus F A Jansen; Alayar Kangarlu; Thomas Lange; R Marc Lebel; Yan Li; Chien-Yuan E Lin; Jy-Kang Liou; Jiing-Feng Lirng; Feng Liu; Ruoyun Ma; Celine Maes; Marta Moreno-Ortega; Scott O Murray; Sean Noah; Ralph Noeske; Michael D Noseworthy; Georg Oeltzschner; James J Prisciandaro; Nicolaas A J Puts; Timothy P L Roberts; Markus Sack; Napapon Sailasuta; Muhammad G Saleh; Michael-Paul Schallmo; Nicholas Simard; Stephan P Swinnen; Martin Tegenthoff; Peter Truong; Guangbin Wang; Iain D Wilkinson; Hans-Jörg Wittsack; Hongmin Xu; Fuhua Yan; Chencheng Zhang; Vadim Zipunnikov; Helge J Zöllner; Richard A E Edden Journal: Neuroimage Date: 2017-07-14 Impact factor: 6.556
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