{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T22:24:03Z","timestamp":1788992643781,"version":"build-2803163510"},"reference-count":18,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,4,16]],"date-time":"2019-04-16T00:00:00Z","timestamp":1555372800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Evaluation of prostate MRI relies on diffusion\u2010weighted imaging (DWI), commonly distorted by susceptibility artifacts, thereby creating a need for approaches to correct such distortion.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To compare geometric distortion on prostate MRI between standard DWI and a geometric distortion correction method for DWI described as static distortion correction DWI (SDC DWI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective case study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Thirty patients (ages 31\u201381 years) undergoing prostate MRI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Sequence<\/jats:title><jats:p>Geometric distortions from echo planar imaging were corrected with the SDC DWI protocol, which first acquires a B<jats:sub>0<\/jats:sub>\u2010field map to estimate geometric distortions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Contours of the prostate were placed on axial T<jats:sub>2<\/jats:sub>\u2010weighted imaging (T<jats:sub>2<\/jats:sub>WI) as an anatomic standard. Pixel shifts and apparent diffusion coefficient (ADC) values were compared between prostate contours applied to the SDC DWI and standard DWI sequences. Detailed characterization of the impact of SDC DWI was performed in three representative patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>One\u2010way analysis of variance (ANOVA) test, Spearman correlation test, and Bland\u2013Altman plots were calculated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>There was significantly greater overlap of the SDC DWI prostate region of interest (ROI) with T<jats:sub>2<\/jats:sub>WI than standard DWI with T<jats:sub>2<\/jats:sub>WI (10.56 cm<jats:sup>2<\/jats:sup> \u00b1 3.14, <jats:italic>P<\/jats:italic> &lt; 0.05). R<jats:sup>2<\/jats:sup> of ADC values from standard DWI vs. SDC DWI in the 30 patients ranged from 0.02\u20130.94 (mean 0.60). A patient without susceptibility artifact demonstrated minimal pixel shift ranging from 0.6\u20131.3 mm and high correlation of ADC values (R<jats:sup>2<\/jats:sup> = 0.89) between SDC DWI and standard DWI. A patient with rectal gas showed greater pixel shift (range: \u20132.5 to \u20130.5 mm) and less ADC value correlation (R<jats:sup>2<\/jats:sup> = 0.69). A patient with a pelvic phlebolith adjacent to the prostate showed an even greater pixel shift (range: 10\u201316 mm) and decreased ADC correlation (R<jats:sup>2<\/jats:sup> = 0.21).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>SDC DWI appears to correct for susceptibility\u2010related pixel shifts in the prostate compared with standard DWI, which may have value for assessing prostate lesions obscured by geometric warping.<\/jats:p><jats:p><jats:bold>Level of Evidence<\/jats:bold> 4<\/jats:p><jats:p><jats:bold>Technical Efficacy Stage<\/jats:bold> 1<\/jats:p><jats:p>J. Magn. Reson. Imaging 2019;50:1614\u20131619.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.26751","type":"journal-article","created":{"date-parts":[[2019,4,16]],"date-time":"2019-04-16T16:58:53Z","timestamp":1555433933000},"page":"1614-1619","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Exploratory study of geometric distortion correction of prostate diffusion\u2010weighted imaging using B<sub>0<\/sub> map acquisition"],"prefix":"10.1002","volume":"50","author":[{"given":"Angela","family":"Tong","sequence":"first","affiliation":[{"name":"Department of Radiology NYU Langone Health  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory","family":"Lemberskiy","sequence":"additional","affiliation":[{"name":"Center for Biomedical Imaging NYU School of Medicine  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenchan","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology NYU Langone Health  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna","family":"Shanbhogue","sequence":"additional","affiliation":[{"name":"Department of Radiology NYU Langone Health  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thorsten","family":"Feiweier","sequence":"additional","affiliation":[{"name":"Siemens Healthcare GmbH  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew B.","family":"Rosenkrantz","sequence":"additional","affiliation":[{"name":"Department of Radiology NYU Langone Health  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,4,16]]},"reference":[{"key":"e_1_2_6_2_1","unstructured":"PI\u2010RADS V2 A.C.o. 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