{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:28:51Z","timestamp":1780100931931,"version":"3.54.0"},"reference-count":45,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Therap Adv Gastroenterol"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec><jats:title>Background:<\/jats:title><jats:p> Despite great technical advances in imaging, such as multidetector computed tomography and magnetic resonance imaging (MRI), diagnosing pancreatic solid lesions correctly remains challenging, due to overlapping imaging features with benign lesions. We wanted to evaluate functional MRI to differentiate pancreatic tumors, peritumoral inflammatory tissue, and normal pancreatic parenchyma by means of dynamic contrast-enhanced MRI (DCE-MRI)-, diffusion kurtosis imaging (DKI)-, and intravoxel incoherent motion model (IVIM) diffusion-weighted imaging (DWI)-derived parameters. <\/jats:p><\/jats:sec><jats:sec><jats:title>Methods:<\/jats:title><jats:p> We retrospectively analyzed 24 patients, each with histopathological diagnosis of pancreatic tumor, and 24 patients without pancreatic lesions. Functional MRI was acquired using a 1.5 MR scanner. Peritumoral inflammatory tissue was assessed by drawing regions of interest on the tumor contours. DCE-MRI, IVIM and DKI parameters were extracted. Nonparametric tests and receiver operating characteristic (ROC) curves were calculated. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p> There were statistically significant differences in median values among the three groups observed by Kruskal\u2013Wallis test for the DKI mean diffusivity (MD), IVIM perfusion fraction (fp) and IVIM tissue pure diffusivity (Dt). MD had the best results to discriminate normal pancreas plus peritumoral inflammatory tissue versus pancreatic tumor, to separate normal pancreatic parenchyma versus pancreatic tumor and to differentiate peritumoral inflammatory tissue versus pancreatic tumor, respectively, with an accuracy of 84%, 78%, 83% and area under ROC curve (AUC) of 0.85, 0.82, 0.89. The findings were statistically significant compared with those of other parameters ( p value\u2009&lt;\u20090.05 using McNemar\u2019s test). Instead, to discriminate normal pancreas versus peritumoral inflammatory tissue or pancreatic tumor and to differentiate normal pancreatic parenchyma versus peritumoral inflammatory tissue, there were no statistically significant differences between parameters\u2019 accuracy ( p\u2009&gt;\u20090.05 at McNemar\u2019s test). <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions:<\/jats:title><jats:p> Diffusion parameters, mainly MD by DKI, could be helpful for the differentiation of normal pancreatic parenchyma, perilesional inflammation, and pancreatic tumor. <\/jats:p><\/jats:sec>","DOI":"10.1177\/1756284819885052","type":"journal-article","created":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T07:05:31Z","timestamp":1590044731000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":55,"title":["Magnetic resonance imaging in the assessment of pancreatic cancer with quantitative parameter extraction by means of dynamic contrast-enhanced magnetic resonance imaging, diffusion kurtosis imaging and intravoxel incoherent motion diffusion-weighted imaging"],"prefix":"10.1177","volume":"13","author":[{"given":"Vincenza","family":"Granata","sequence":"first","affiliation":[{"name":"Radiology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. Pascale\u2019, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0469-9969","authenticated-orcid":false,"given":"Roberta","family":"Fusco","sequence":"additional","affiliation":[{"name":"Department of Radiology, Istituto Nazionale Tumori Fondazione G. Pascale, via Mariano Semmola, Naples 80131, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"Sansone","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Grassi","sequence":"additional","affiliation":[{"name":"Radiology Unit, Universit\u00e0 della Campania Luigi Vanvitelli, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Maio","sequence":"additional","affiliation":[{"name":"Radiology Unit, University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raffaele","family":"Palaia","sequence":"additional","affiliation":[{"name":"Hepatobiliary Surgical Oncology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. Pascale\u2019, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabiana","family":"Tatangelo","sequence":"additional","affiliation":[{"name":"Diagnostic Pathology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. Pascale\u2019, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerardo","family":"Botti","sequence":"additional","affiliation":[{"name":"Diagnostic Pathology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. Pascale\u2019, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Grimm","sequence":"additional","affiliation":[{"name":"Siemens Healthcare GmbH, Erlangen, Bayern, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"Curley","sequence":"additional","affiliation":[{"name":"Department of Surgery, Baylor College of Medicine, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Avallone","sequence":"additional","affiliation":[{"name":"Abdominal Oncology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. Pascale\u2019, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Izzo","sequence":"additional","affiliation":[{"name":"Hepatobiliary Surgical Oncology Unit, \u2018Istituto Nazionale Tumori \u2013 IRCCS \u2013 Fondazione G. 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