{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:20:34Z","timestamp":1777555234991,"version":"3.51.4"},"reference-count":33,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T00:00:00Z","timestamp":1547424000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Applied Basic Research Programs of Shanxi Province","award":["201801D121307"],"award-info":[{"award-number":["201801D121307"]}]},{"name":"Applied Basic Research Programs of Shanxi Province","award":["201801D221390"],"award-info":[{"award-number":["201801D221390"]}]},{"name":"the Science and Technology Project of Shanxi Province","award":["20150313007-5"],"award-info":[{"award-number":["20150313007-5"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Although histological examination is the standard method for assessing genetic status, the development of a noninvasive method, which can display the heterogeneity of the whole tumor to supplement genotype analysis, might be important for personalized treatment strategies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate the potential role of diffusion kurtosis imaging (DKI)\u2010derived parameters using histogram analysis derived from whole\u2010tumor volumes for prediction of the status of KRAS mutations in patients with rectal adenocarcinoma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>In all, 148 consecutive patients with histologically confirmed rectal adenocarcinoma who were treated at our institution.<\/jats:p><\/jats:sec><jats:sec><jats:title>Sequence<\/jats:title><jats:p>DKI was performed with a 3.0 T MRI system using a single\u2010shot echo\u2010planar imaging sequence with b values of 0, 700, 1400, and 2100 sec\/mm<jats:sup>2<\/jats:sup>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>D, K, and apparent diffusion coefficient (ADC) values were measured using whole\u2010tumor volume histogram analysis and were compared between different KRAS mutations status.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Student's <jats:italic>t<\/jats:italic>\u2010test or Mann\u2013Whitney <jats:italic>U<\/jats:italic>\u2010test, and receiver operating characteristic (ROC) curves were used for statistical analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>All the percentile metrics of ADC and D values were significantly lower in the mutated group than those in the wildtype group (all <jats:italic>P<\/jats:italic> &lt; 0.05), except for the minimum value of ADC and D (both <jats:italic>P<\/jats:italic> &gt; 0.05), while K\u2010related percentile metrics were higher in the mutated group compared with those in the wildtype group (all <jats:italic>P<\/jats:italic> &lt; 0.05). Regarding the comparison of the diagnostic performance of all the histogram metrics, K<jats:sub>75th<\/jats:sub> showed the highest AUC value of 0.871, and the corresponding values for sensitivity, specificity, positive predictive value, and negative predictive value were 81.43%, 78.21%, 77.03%, and 82.43%, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>DKI metrics with whole\u2010tumor volume histogram analysis is associated with KRAS mutations, and thus may be useful for predicting the KRAS status of rectal cancers for guiding targeted therapy.<\/jats:p><jats:p><jats:bold>Level of Evidence:<\/jats:bold> 3<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 2<\/jats:p><jats:p>J. Magn. Reson. Imaging 2019;50:930\u2013939.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.26653","type":"journal-article","created":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T08:35:59Z","timestamp":1547454959000},"page":"930-939","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Diffusion kurtosis imaging\u2010derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings"],"prefix":"10.1002","volume":"50","author":[{"given":"Yanfen","family":"Cui","sequence":"first","affiliation":[{"name":"Department of Radiology Shanxi Province Cancer Hospital, Shanxi Medical University  Taiyuan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue'e","family":"Cui","sequence":"additional","affiliation":[{"name":"Department of Radiology Xinhua Hospital, Shanghai Jiao Tong University School of Medicine  Shanghai 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