Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT

dc.contributor.authorMajala Susanna
dc.contributor.authorSeppänen Hanna
dc.contributor.authorKemppainen Jukka
dc.contributor.authorSundström Jari
dc.contributor.authorSchalin-Jäntti Camilla
dc.contributor.authorGullichsen Risto
dc.contributor.authorSchildt Jukka
dc.contributor.authorMustonen Harri
dc.contributor.authorVesterinen Tiina
dc.contributor.authorArola Johanna
dc.contributor.authorKauhanen Saila
dc.contributor.organizationfi=PET-keskus|en=Turku PET Centre|
dc.contributor.organizationfi=kirurgia|en=Surgery|
dc.contributor.organizationfi=kliininen fysiologia ja isotooppilääketiede|en=Clinical Physiology and Isotope Medicine|
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.14646305228
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.contributor.organization-code1.2.246.10.2458963.20.75985703497
dc.contributor.organization-code1.2.246.10.2458963.20.97295082107
dc.converis.publication-id44000674
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/44000674
dc.date.accessioned2025-08-27T23:41:35Z
dc.date.available2025-08-27T23:41:35Z
dc.description.abstract<p><b>Background</b>: Predicting aggressive behavior of nonfunctional pancreatic neuroendocrine tumors (NF-PNET) remains controversial. We wanted to explore, in a prospective setting, whether the diagnostic accuracy can be improved by dual-tracer functional imaging <sup>68</sup>Ga-DOTANOC and <sup>18</sup>F-FDG-PET/CT in patients with NF-PNETs. </p><p><b>Methods:</b> Thirty-one patients with NF-PNET (90% asymptomatic) underwent PET-imaging with <sup>18</sup>F-FDG and <sup>68</sup>Ga-DOTANOC, followed by surgery (n=20), an endoscopic ultrasonography and fine-needle biopsy (n=2) or follow-up (n=9). A focal activity on PET/CT greater than the background that could not<i> </i>be identified as physiological activity was considered to indicate tumor tissue. The imaging results were compared to the histopathology. The mean follow-up time was 31.3 months. </p><p><b>Results</b>: Thirty-one patients presented a total of 53 lesions (40 histologically confirmed) on PET/CT. Thirty patients had a <sup>68</sup>Ga-DOTANOC-positive tumor (sensitivity 97%) and ten patients had an<sup> 18</sup>F-FDG-positive tumor. In addition, one <sup>68</sup>Ga-DOTANOC-negative patient was <sup>18</sup>F-FDG-positive. <sup>18</sup>F-FDG-PET/CT was positive in 19% (3/16) of the G1 tumors, 63% (5/8) of the G2 tumors and 1/1 of the well-differentiated G3 tumor. <sup>68</sup>Ga-DOTANOC-PET/CT was positive in 94% of the G1 tumors, 100% of the G2 tumors and 1/1 of the well-differentiated G3 tumor. Two out of six (33%) of the patients with lymph node metastases (LN+) were <sup>18</sup>F-FDG-positive. The <sup>18</sup>F-FDG-PET/CT correlated with tumor Ki-67 (<i>P</i>=0.021). Further, the Krenning score correlated with tumor Ki-67 (<i>P</i>=0.013). <sup>18</sup>F-FDG-positive tumors were significantly larger than the <sup>18</sup>F-FDG-negative tumors (<i>P</i>=0.012).<sup> 18</sup>F-FDG-PET/CT showed a positive predictive value of 78% in the detection of potentially aggressive tumors (G2, G3 or LN + PNETs); the negative predictive value was 69%.</p><p><b>Conclusions</b>: <sup>18</sup>F-FDG-PET/CT is useful to predict tumor grade but not the LN+ of NF-PNETs. Patients with <sup>18</sup>F-FDG-avid NF-PNETs should be referred for surgery. The <sup>68</sup>Ga-DOTANOC-PET/CT also has prognostic value since the Krenning score predicts the histopathological tumor grade.<b> </b></p>
dc.format.pagerange1
dc.format.pagerange12
dc.identifier.eissn2191-219X
dc.identifier.jour-issn2191-219X
dc.identifier.olddbid204434
dc.identifier.oldhandle10024/187461
dc.identifier.urihttps://www.utupub.fi/handle/11111/52693
dc.identifier.urnURN:NBN:fi-fe2021042825005
dc.language.isoen
dc.okm.affiliatedauthorMajala, Susanna
dc.okm.affiliatedauthorKemppainen, Jukka
dc.okm.affiliatedauthorGullichsen, Risto
dc.okm.affiliatedauthorKauhanen, Saila
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3126 Surgery, anesthesiology, intensive care, radiologyen_GB
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.discipline3126 Kirurgia, anestesiologia, tehohoito, radiologiafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherEJNMMI Research
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.publisher.place© Springer Nature Switzerland AG
dc.relation.articlenumber116
dc.relation.doi10.1186/s13550-019-0585-7
dc.relation.ispartofjournalEJNMMI Research
dc.relation.issue1
dc.relation.volume9
dc.source.identifierhttps://www.utupub.fi/handle/10024/187461
dc.titlePrediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
dc.year.issued2019

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