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Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma
Institution:1. Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France;2. Department of Pathology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France;3. Université de Paris, Diderot Paris 7, 75010 Paris, France;4. Department of Pancreatology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France;5. INSERM U1149, CRI, Paris, France;6. Department of HPB Surgery, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France
Abstract:PurposeTo compare morphological imaging features and CT texture histogram parameters between grade 3 pancreatic neuroendocrine tumors (G3-NET) and neuroendocrine carcinomas (NEC).Materials and methodsPatients with pathologically proven G3-NET and NEC, according to the 2017 World Health Organization classification who had CT and MRI examinations between 2006-2017 were retrospectively included. CT and MRI examinations were reviewed by two radiologists in consensus and analyzed with respect to tumor size, enhancement patterns, hemorrhagic content, liver metastases and lymphadenopathies. Texture histogram analysis of tumors was performed on arterial and portal phase CT images. images. Morphological imaging features and CT texture histogram parameters of G3-NETs and NECs were compared.ResultsThirty-seven patients (21 men, 16 women; mean age, 56 ± 13 SD] years range: 28-82 years]) with 37 tumors (mean diameter, 60 ± 46 SD] mm) were included (CT available for all, MRI for 16/37, 43%). Twenty-three patients (23/37; 62%) had NEC and 14 patients (14/37; 38%) had G3-NET. NECs were larger than G3-NETs (mean, 70 ± 51 SD] mm range: 18 - 196 mm] vs. 42 ± 24 SD] mm range: 8 - 94 mm], respectively; P = 0.039), with more tumor necrosis (75% vs. 33%, respectively; P = 0.030) and lower attenuation on precontrast (30 ± 4 SD] HU range: 25-39 HU] vs. 37 ± 6 SD] range: 25-45 HU], respectively; P = 0.002) and on portal venous phase CT images (75 ± 18 SD] HU range: 43 - 108 HU] vs. 92 ± 19 SD] HU range: 46 - 117 HU], respectively; P = 0.014). Hemorrhagic content on MRI was only observed in NEC (P = 0.007). The mean ADC value was lower in NEC (1.1 ± 0.1 (SD)] × 10?3 mm2/s range: (0.91 - 1.3) × 10?3 mm2/s] vs. 1.4 ± 0.2 (SD)] × 10?3 mm2/s range: (1.1 - 1.6) × 10?3 mm2/s]; P = 0.005). CT histogram analysis showed that NEC were more heterogeneous on portal venous phase images (Entropy-0: 4.7 ± 0.2 SD] range: 4.2-5.1] vs. 4.5 ± 0.4 SD] range: 3.7-4.9]; P = 0.023).ConclusionPancreatic NECs are larger, more frequently hypoattenuating and more heterogeneous with hemorrhagic content than G3-NET on CT and MRI.
Keywords:Neuroendocrine tumors  OMS 2017  Tomography  X-ray computed  Magnetic resonance imaging  Texture analysis  3D"}  {"#name":"keyword"  "$":{"id":"kw0445"}  "$$":[{"#name":"text"  "_":"three-dimensional  ADC"}  {"#name":"keyword"  "$":{"id":"kw0035"}  "$$":[{"#name":"text"  "_":"Apparent diffusion coefficient  AUC"}  {"#name":"keyword"  "$":{"id":"kw0045"}  "$$":[{"#name":"text"  "_":"Area under the curve  CT"}  {"#name":"keyword"  "$":{"id":"kw0055"}  "$$":[{"#name":"text"  "_":"Computed tomography  DWI"}  {"#name":"keyword"  "$":{"id":"kw0065"}  "$$":[{"#name":"text"  "_":"Diffusion-weighted imaging  ENETS"}  {"#name":"keyword"  "$":{"id":"kw0075"}  "$$":[{"#name":"text"  "_":"European Neuroendocrine Tumor Society  Ent"}  {"#name":"keyword"  "$":{"id":"kw0085"}  "$$":[{"#name":"text"  "_":"Entropy  G2/G3"}  {"#name":"keyword"  "$":{"id":"kw0095"}  "$$":[{"#name":"text"  "_":"Grade 2/Grade 3  HU"}  {"#name":"keyword"  "$":{"id":"kw0105"}  "$$":[{"#name":"text"  "_":"Hounsfield unit  Kurt"}  {"#name":"keyword"  "$":{"id":"kw0115"}  "$$":[{"#name":"text"  "_":"Kurtosis  MiNEN"}  {"#name":"keyword"  "$":{"id":"kw0125"}  "$$":[{"#name":"text"  "_":"Mixed nonendocrine endocrine neoplasia  MPP"}  {"#name":"keyword"  "$":{"id":"kw0135"}  "$$":[{"#name":"text"  "_":"Mean of positive pixels  MRI"}  {"#name":"keyword"  "$":{"id":"kw0145"}  "$$":[{"#name":"text"  "_":"Magnetic resonance imaging  PACS"}  {"#name":"keyword"  "$":{"id":"kw0155"}  "$$":[{"#name":"text"  "_":"Picture archiving and communication system  NET/NEC"}  {"#name":"keyword"  "$":{"id":"kw0165"}  "$$":[{"#name":"text"  "_":"Neuroendocrine tumor/carcinoma  NEN"}  {"#name":"keyword"  "$":{"id":"kw0175"}  "$$":[{"#name":"text"  "_":"Neuroendocrine neoplasm  ROC"}  {"#name":"keyword"  "$":{"id":"kw0185"}  "$$":[{"#name":"text"  "_":"Receiver operating characteristic curve  ROI"}  {"#name":"keyword"  "$":{"id":"kw0195"}  "$$":[{"#name":"text"  "_":"Region of interest  SD"}  {"#name":"keyword"  "$":{"id":"kw0205"}  "$$":[{"#name":"text"  "_":"Standard deviation  SNFGE"}  {"#name":"keyword"  "$":{"id":"kw0215"}  "$$":[{"#name":"text"  "_":"French National Society of Gastroenterology  Ske"}  {"#name":"keyword"  "$":{"id":"kw0225"}  "$$":[{"#name":"text"  "_":"Skewness  WHO"}  {"#name":"keyword"  "$":{"id":"kw0235"}  "$$":[{"#name":"text"  "_":"World Health Organization
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