Prospective Multicentric Assessment of 68 Ga-DOTANOC PET/CT in Grade 1-2 GEP-NET.
Alexandre LugatÉric FrampasYann TouchefeuÉric MiralliéMaëlle Le BrasHélène SenellartAurore RauscherVincent FleuryLoic CampionVincent RohmerOlivier-François CouturierRachida LebtahiFrançois RouzetPhilippe RuszniewskiFrançoise Kraeber-BodéréMickaël BourgeoisCatherine AnsquerPublished in: Cancers (2023)
The aim of this multicentric study was to prospectively compare 68 Ga-DOTANOC PET/CT versus somatostatin receptor scintigraphy (SRS) with SPECT/CT, combined with multiphasic CT scan and MRI in patients with grade 1 or 2 gastroenteropancreatic neuroendocrine tumors (GEP-NET). Patients with histologically proven grade 1 or 2 GEP-NET with suspicion of recurrence or progression, or with typical aspects of GEP-NET on morphological imaging, were explored with conventional imaging (CI): SRS with SPECT/CT, multiphasic CT scan and/or liver MRI followed by 68 Ga-DOTANOC PET/CT. The gold standard was based on histology and imaging follow-up. The data of 105 patients (45 woman and 60 men; median age) were analyzed. 68 Ga-DOTANOC PET/CT sensitivity was significantly higher than CI sensitivity in per-patient (98.9% vs. 88.6%, p = 0.016) and per-region (97.6% vs. 75.6%, p < 0.001) analyses, in the detection of the primary (97.9% vs. 78.7%; p = 0.016), peritoneal carcinomatosis (95% vs. 30%, p < 0.001), and bone metastases (100% vs. 33.3%, p = 0.041). 68 Ga-DOTANOC PET/CT had an impact on the therapeutic management of 41.9% (44/105) patients compared to decisions based on CI explorations. Our data confirm the superiority of 68 Ga-DOTANOC PET/CT over CI in the detection of peritoneal carcinomatosis and bone metastasis, as well as its strong therapeutic impact on the management of patients with grade 1-2 GEP-NETs.
Keyphrases
- pet ct
- contrast enhanced
- positron emission tomography
- computed tomography
- dual energy
- neuroendocrine tumors
- image quality
- high resolution
- magnetic resonance imaging
- end stage renal disease
- magnetic resonance
- electronic health record
- chronic kidney disease
- ejection fraction
- case report
- mass spectrometry
- machine learning
- bone mineral density
- postmenopausal women
- label free
- prognostic factors
- body composition
- deep learning
- quantum dots