{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T05:19:12Z","timestamp":1777526352390,"version":"3.51.4"},"reference-count":38,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2017,10,31]],"date-time":"2017-10-31T00:00:00Z","timestamp":1509408000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100002428","name":"Austrian Science Fund","doi-asserted-by":"publisher","award":["Project KLIF 382"],"award-info":[{"award-number":["Project KLIF 382"]}],"id":[{"id":"10.13039\/501100002428","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>[18F]\u2010FDG\u2010PET\/MR carries a high diagnostic value in whole\u2010body oncologic imaging and allows simultaneous quantitative measurements of glucose metabolism (SUV) and cell density (ADC).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To determine the relationship between SUV and ADC values extracted from simultaneously acquired [18F]\u2010FDG\u2010PET\/MR data of patients with FDG\u2010avid lymphomas at staging.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Patients with histologically proven lymphoma referred for staging.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequences<\/jats:title><jats:p>Hybrid PET\/MR device (3T); axial, two\u2010point Dixon, 3D, volume\u2010interpolated, T<jats:sub>1<\/jats:sub>\u2010weighted breath\u2010hold sequence; coronal T<jats:sub>2<\/jats:sub>\u2010weighted half\u2010Fourier acquisition single\u2010shot turbo spin\u2010echo. Single\u2010shot, echo\u2010planar imaging\u2010based, spectral adiabatic inversion recovery diffusion\u2010weighted imaging.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Staging was performed according to the modified Ann Arbor system by a board\u2010certified radiologist and a board\u2010certified nuclear medicine physician, blinded to the clinical and histological information, in consensus. SUVs and ADCs values were collected, for each positive nodal and extranodal region, from the lesion demonstrating the largest diameter.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Descriptive data included absolute frequencies and percentages for categorical data, and arithmetic means and 95% confidence intervals for scale\u2010type data. The Pearson correlation coefficient was used to assess the relationship between SUVs and ADCs (<jats:italic>P<\/jats:italic> \u2264 0.05). Additional separate analyses were performed according to histological lymphoma subtype, for nodal and extranodal lesions and excluding bone lesions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Overall, 100 patients were examined (55 males, 45 females; age\u2009\u00b1\u2009SD in years, 51.6\u2009\u00b1\u200919.5). Histology revealed Hodgkin\u2010lymphoma and non\u2010Hodgkin\u2010lymphoma in 26 and 74 patients, respectively. Twenty patients were stage I, 21 stage II, 24 stage III, and 31 stage IV on [18F]\u2010FDG\u2010PET\/MR (ie, four patients negative at imaging). Based on 391 lesions (ie, 367 excluding bone lesions) no significant correlations between SUVmax and ADCmin, or between SUVmean and ADCmean, emerged (respectively, <jats:italic>r<\/jats:italic>\u2009=\u20090.091, <jats:italic>P<\/jats:italic>\u2009=\u20090.073, 95% CI [\u20130.01, 0.19] and <jats:italic>r<\/jats:italic>\u2009=\u2009\u20130.032, <jats:italic>P<\/jats:italic>\u2009=\u20090.527, 95% CI [\u20130.13, 0.07] including bone lesions; <jats:italic>r<\/jats:italic>\u2009=\u20090.06, <jats:italic>P<\/jats:italic>\u2009=\u20090.21, 95% CI [\u20130.04, 0.17] and <jats:italic>r<\/jats:italic>\u2009=\u2009\u20130.05, <jats:italic>P<\/jats:italic>\u2009=\u20090.32, 95% CI [\u20130.15, 0.05] excluding bone lesions). A significant correlation was observed only between ADCmean and SUVmean for follicular lymphoma (<jats:italic>r<\/jats:italic>\u2009=\u2009\u22120.33, <jats:italic>P<\/jats:italic>\u2009=\u20090.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>SUVs and ADCs were demonstrated to be independent biomarkers in lymphomas. A moderate correlation between SUVs and ADCs likely is present in follicular lymphoma.<\/jats:p><jats:p><jats:bold>Level of Evidence<\/jats:bold>: 1<\/jats:p><jats:p><jats:bold>Technical Efficacy<\/jats:bold>: Stage 3<\/jats:p><jats:p>J. Magn. Reson. Imaging 2018;47:1217\u20131226.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.25884","type":"journal-article","created":{"date-parts":[[2017,10,31]],"date-time":"2017-10-31T06:06:40Z","timestamp":1509430000000},"page":"1217-1226","source":"Crossref","is-referenced-by-count":15,"title":["Correlation between glycolytic activity on [18F]\u2010FDG\u2010PET and cell density on diffusion\u2010weighted MRI in lymphoma at staging"],"prefix":"10.1002","volume":"47","author":[{"given":"Chiara","family":"Giraudo","sequence":"first","affiliation":[{"name":"Department of Biomedical Imaging and Image\u2010guided Therapy Medical University of Vienna Vienna Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgios","family":"Karanikas","sequence":"additional","affiliation":[{"name":"Department of Biomedical Imaging and Image\u2010guided Therapy Medical University of Vienna Vienna 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