Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT
| dc.contributor.author | Majala Susanna | |
| dc.contributor.author | Seppänen Hanna | |
| dc.contributor.author | Kemppainen Jukka | |
| dc.contributor.author | Sundström Jari | |
| dc.contributor.author | Schalin-Jäntti Camilla | |
| dc.contributor.author | Gullichsen Risto | |
| dc.contributor.author | Schildt Jukka | |
| dc.contributor.author | Mustonen Harri | |
| dc.contributor.author | Vesterinen Tiina | |
| dc.contributor.author | Arola Johanna | |
| dc.contributor.author | Kauhanen Saila | |
| dc.contributor.organization | fi=PET-keskus|en=Turku PET Centre| | |
| dc.contributor.organization | fi=kirurgia|en=Surgery| | |
| dc.contributor.organization | fi=kliininen fysiologia ja isotooppilääketiede|en=Clinical Physiology and Isotope Medicine| | |
| dc.contributor.organization | fi=kliininen laitos|en=Department of Clinical Medicine| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.14646305228 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.61334543354 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.75985703497 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.97295082107 | |
| dc.converis.publication-id | 44000674 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/44000674 | |
| dc.date.accessioned | 2025-08-27T23:41:35Z | |
| dc.date.available | 2025-08-27T23:41:35Z | |
| 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.pagerange | 1 | |
| dc.format.pagerange | 12 | |
| dc.identifier.eissn | 2191-219X | |
| dc.identifier.jour-issn | 2191-219X | |
| dc.identifier.olddbid | 204434 | |
| dc.identifier.oldhandle | 10024/187461 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/52693 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042825005 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Majala, Susanna | |
| dc.okm.affiliatedauthor | Kemppainen, Jukka | |
| dc.okm.affiliatedauthor | Gullichsen, Risto | |
| dc.okm.affiliatedauthor | Kauhanen, Saila | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.discipline | 3122 Cancers | en_GB |
| dc.okm.discipline | 3126 Surgery, anesthesiology, intensive care, radiology | en_GB |
| dc.okm.discipline | 3122 Syöpätaudit | fi_FI |
| dc.okm.discipline | 3126 Kirurgia, anestesiologia, tehohoito, radiologia | fi_FI |
| dc.okm.internationalcopublication | not an international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | EJNMMI Research | |
| dc.publisher.country | Switzerland | en_GB |
| dc.publisher.country | Sveitsi | fi_FI |
| dc.publisher.country-code | CH | |
| dc.publisher.place | © Springer Nature Switzerland AG | |
| dc.relation.articlenumber | 116 | |
| dc.relation.doi | 10.1186/s13550-019-0585-7 | |
| dc.relation.ispartofjournal | EJNMMI Research | |
| dc.relation.issue | 1 | |
| dc.relation.volume | 9 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/187461 | |
| dc.title | Prediction of the aggressiveness of non-functional pancreatic neuroendocrine tumors based on the dual-tracer PET/CT | |
| dc.year.issued | 2019 |
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