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Apparent wall thickening of cystic renal lesions on MRI

dc.contributor.authorGulani, Vikasen_US
dc.contributor.authorAdusumilli, Sarojaen_US
dc.contributor.authorHussain, Hero K.en_US
dc.contributor.authorVazquez, Alberto L.en_US
dc.contributor.authorFrancis, Isaac R.en_US
dc.contributor.authorNoll, Douglas C.en_US
dc.date.accessioned2008-08-04T15:14:36Z
dc.date.available2009-07-06T16:34:52Zen_US
dc.date.issued2008-07en_US
dc.identifier.citationGulani, Vikas; Adusumilli, Saroja; Hussain, Hero K.; Vazquez, Alberto L.; Francis, Isaac R.; Noll, Douglas C. (2008). "Apparent wall thickening of cystic renal lesions on MRI." Journal of Magnetic Resonance Imaging 28(1): 103-110. <http://hdl.handle.net/2027.42/60469>en_US
dc.identifier.issn1053-1807en_US
dc.identifier.issn1522-2586en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60469
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18581399&dopt=citationen_US
dc.description.abstractPurpose To show that cystic renal lesions that would otherwise meet criteria for simple cysts can demonstrate perceptible walls or increased wall thickness on MRI, sometimes causing these lesions to be “upgraded.” It was hypothesized that thickening of cyst walls on MRI can be artifactual, due to data truncation, applied filtering, and low signal-to-noise ratio (SNR). Materials and Methods k-Space data for a 4-cm cyst were created in a 40-cm field of view (FOV) (512 × 512 matrix). Additional data sets were created using the central 512 × 256 and 512 × 128 points. Noise was simulated so that the cyst SNR was approximately 7, 14, and 20, respectively. Actual wall thickness was set at 0.25 mm, and cyst:wall signal at 1:4. An inverse two-dimensional (2D) fast Fourier transform (FFT) yielded simulated images. A Fermi filter was applied to reduce ringing. Images/projections were examined for wall thickening. Seven patients with initially thick-walled cysts on fat-saturated spoiled gradient-echo (FS-SPGR) images were scanned with increasing resolution (256 × 128 and 256 × 256; four patients were also scanned with 512 × 512). Average wall thickness at each resolution was compared using a two-tailed paired Student's t -test. Results Simulations showed apparent wall thickening at low resolution, improving with higher resolutions. Low SNR and application of the Fermi filter made it difficult to identify ringing as the cause of this thickening. The simulation results were confirmed on seven patients, whose cyst walls proved to be artifactually thickened ( P < 0.01). Conclusion Thickening of cyst walls on MRI can be artifactual. Upon encountering thick-walled cystic renal lesions, high-resolution images can be acquired to exclude apparent thickening. J. Magn. Reson. Imaging 2008;28103–110. © 2008 Wiley-Liss, Inc.en_US
dc.format.extent491173 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherImagingen_US
dc.titleApparent wall thickening of cystic renal lesions on MRIen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA ; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationotherDepartment of Radiology, Case Western Reserve University, Cleveland, Ohio, USA ; Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, 11100 Euclid Ave., Cleveland, OH 44106en_US
dc.contributor.affiliationotherUniversity of Pittsburgh, Department of Radiology, Pittsburgh, Pennsylvania, USAen_US
dc.identifier.pmid18581399en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60469/1/21376_ftp.pdf
dc.identifier.doihttp://dx.doi.org/10.1002/jmri.21376en_US
dc.identifier.sourceJournal of Magnetic Resonance Imagingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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