ObjectiveTo investigate value of MSCT imaging on differentiating low grade pancreatic neuroendo-crine neoplasms (pNENs) from non-low grade pNENs. MethodThe clinical and CT data of 32 patients with pNENs,who were confirmed by pathological diagnosis from January 2014 to August 2015,were collected and analyzed retrospec-tively. ResultsThere were 15 patients with grade 1 in the low grade pNENs group,there were 11 patients with grade 2 and 6 patients with grade 3 in the non-low grade pNENs group.Compared with the low grade pNENs,the non-low grade pNENs had the larger diameter of the tumor (P=0.007),irregular tumor shape (P=0.006),obscure tumor margin (P=0.003),peripancreatic tissue or vascular invasion (P=0.036),lymphadenopathy (P=0.003),distant metastasis (P=0.019),lower absolute enhancement of tumor at the arterial (P=0.003) and the relative enhancement of tumor at the arterial (P=0.013). ConclusionThe analysis of MSCT features might help for differentiating low grade pNENs from non-low grade pNENs,so that more timely selection of appropriate treatment strategies would be made.
ObjectiveTo explore value of CT imaging features in differentiating pathological grades of pancreatic neuroendocrine neoplasms (pNENs). MethodsThe patients with pNENs admitted to the Sichuan Provincial People’s Hospital from October 2017 to December 2023 were retrospectively collected. The enrolled patients were assigned into a low-grade (G1+G2) pNENs and high-grade (G3+neuroendocrine carcinoma) pNENs. Then, the differences in gender, age, presence of neuroendocrine symptoms, tumor location, tumor diameter, clarity of the tumor boundary, cystic change, capsule, dilation of the biliary and pancreatic ducts, pancreatic parenchymal atrophy, vascular invasion, liver metastasis, lymph node metastasis, tumor enhancement pattern, Ct values in each phase, and the ratio of Ct value of the tumor to that of the normal pancreas (T/N value) between the low-grade pNENs and high-grade pNENs were compared. Subsequently, the multivariate logistic regression analysis was used to screen the CT imaging features with statistical significance and the receiver operating characteristic (ROC) curve was use to differentiate high-grade from low-grade pNENs. ResultsA total of 47 pNENs patients were enrolled, including 36 low-grade and 11 high-grade cases. Compared with the low-grade pNENs, the patients with high-grade pNENs had higher proportions of pancreaticobiliary duct dilation (χ2=9.124, P=0.003) and vascular invasion (χ2=10.967, P=0.001), more mild enhancement (χ2=9.192, P=0.010), larger tumor diameter (Z=–2.378, P=0.017), and lower Ct values and T/N ratios in the arterial and venous phases (P=0.001, P=0.032, P=0.006, P=0.018). The multivariate logistic regression analysis showed that the pancreaticobiliary duct dilation, vascular invasion, and decreased Ct value in the arterial phase were the predictive factors for the high-grade pNENs. The areas under the ROC curves of these three indicators for distinguishing low-grade from high-grade pNENs were 0.760, 0.749, and 0.843, respectively, the Ct value in the arterial phase had the strongest discriminatory ability, and its cutoff value was 78 HU. ConclusionsThe results of this study suggest that pancreatic ductal dilation, vascular invasion, and Ct value in arterial phase play important roles in differentiating high-grade pNENs from low-grade pNENs. Ct value in arterial phase has the greatest diagnostic efficiency.
ObjectiveTo investigate current status and hot issues of pancreatic neuroendocrine neoplasm (pNEN) imaging research.MethodsThe literatures focusing on pNEN and published from 1998 to 2018 were retrieved from the core database of Web of Science. The quantitative analysis of literatures was then conducted by using the CiteSpace software based on the bibliometrics method. The research trend was then summarized systematically and the potential research fronts and focuses were explored.ResultsA total of 190 articles in the field of pNEN imaging research were retrieved, and the top three countries in the literatures were the United States, Germany, and Italy. The clustering of co-citation of pNEN included the endoscopic ultrasound, current diagnosis, prospective evaluation, cystic pancreatic neuroendocrine tumor, hypervascular neuroendocrine tumor, nonfunctioning pancreatic neuroendocrine tumor, intravoxel incoherent motion, and metastastic lesion. The hot of keywords in the field of pNEN included the fine needle aspiration, CT, diagnosis, pancreas, cancer, neuroendocrine tumor, neoplasm, carcinoma, and management. The hot keywords clustering had the neuroendocrine tumor, pancreatic mass size, non-hyperfunctioning neuroendocrine tumor, CT appearance, metastatic lesion, ancillary studies, somatostatin analogues, somatostatinoma, intraoperative ultrasound, and multiple endcorine neoplasia 1.ConclusionAccurate imaging diagnosis of pNEN is still a hot issue in this field.
ObjectiveTo summary the treatment of pancreatic neuroendocrine neoplasms (pNENs). MethodsArticles relevant to pNENs at home and abroad were collected and reviewed. ResultsBecause of rare incidence and non-specific clinical syndromes of pNENs, clinician had no enough cognition about it. For pNENs, surgery was still the preferred option, combining other treatments included chemotherapy, somatostatin analogue, α-interferon, molecular targeted therapy, and peptide receptor radionuclide therapy (PRRT). ConclusionSurgery is still considered as the preferred option for controlling the associated biochemical syndromes and curtailing the malignant progression of pNENs.
ObjectiveTo investigate the hotspots from researches on imaging of pancreatic neuroendocrine tumor in recent five years. MethodsThe bibliographies from research literatures on imaging of pancreatic neuroendocrine tumor from 2010 to 2015 in PubMed database were downloaded. The Bicomb 2.0 bibliographies analysis software was used to count high-frequency of Mesh major topics (MJMEs). SPSS 22.0 statistical software was applied for clustering analysis with MJMEs, then to get the topic hotspots. ResultsA total of 357 literatures were screened out during the years of 2010-2015. The MJMEs which frequency > 13 were 28. Taken the 28 MJMEs into clustering analysis, then three research hotspots were clustered. ConclusionResearches on imaging of the pancreatic neuroendocrine tumor in recent five years are mainly in terms of imaging techniques, a comparative study of pathology and endoscopic ultrasonography-fine needle aspiration, imaging and disease treatment.
Objective To determine feasibility of texture analysis of CT images for the discrimination of nonhypervascular pancreatic neuroendocrine tumor (PNET) from pancreatic ductal adenocarcinoma (PDAC). Methods CT images of 15 pathologically proved as PNETs and 30 PDACs in West China Hospital of Sichuan University from January 2009 to January 2017 were retrospectively analyzed. Results Thirty best texture parameters were automatically selected by the combination of Fisher coefficient (Fisher)+classification error probability combined with average correlation coefficients (PA)+mutual information (MI). The 30 texture parameters of arterial phase (AP) CT images were distributed in co-occurrence matrix (18 parameters), run-length matrix (10 parameters), and autoregressive model (2 parameters). The distribution of parameters in portal venous phase (PVP) were co-occurrence matrix (15 parameters), run-length matrix (10 parameters), histogram (1 parameter), absolute gradient (1 parameter), and autoregressive model (3 parameters). In AP and PVP, the parameter with the highest diagnostic performance were both Teta2, and the area under curve (AUC) value was 0.829 and 0.740 (P<0.001,P=0.009), respectively. By the B11 of MaZda, the misclassification rate of raw data analysis (RDA)/K nearest neighbor classification (KNN), principal component analysis (PCA)/KNN, linear discriminant analysis (LDA)/KNN, and nonlinear discriminant analysis (NDA)/artificial neural network (ANN) was 28.89% (13/45), 28.89% (13/45), 0 (0/45), and 4.44% (2/45), respectively. In PVP, the misclassification rate of RDA/KNN, PCA/KNN, LDA/KNN, and NDA/ANN was 35.56% (16/45), 33.33% (15/45), 4.44% (2/45), and 11.11% (5/45), respectively. Conclusions CT texture analysis is feasible in the discrimination of nonhypervascular PNET and PDAC. Teta2 is the parameter with the highest diagnostic performance, and in AP, LDA/KNN modality has the lowest misclassification rate.
ObjectiveTo summarize the status and progress of imaging studies of pancreatic neuroendocrine neoplasms (pNENs).MethodThe relevant literatures published recently at domestic and abroad about the imaging of pNENs were collected and reviewed.ResultsDue to poor visibility of pancreatic body and tail, the application of ultrasound (US) was limited. Compared with US, endoscopic ultrasound (EUS) and contrast-enhanced ultrasound (CEUS) could improve the detection rate of pNENs. The ability of plain CT scans to differentiate pathological grades was still controversial, but the value of enhanced scan was higher. CT texture analysis was feasible in the discrimination of nonhypervascular pNENs and pancreatic ductal adenocarcinoma (PDAC). Teta2 was the parameter with the highest diagnostic performance. The enhanced features of MRI were similar to CT. Combined with the apparent diffusion coefficient (ADC) value, the diagnostic and classification capabilities of MRI were improved, and the sensitivity and specificity of different ADC thresholds were also different. 68Ga-tetraazacyclododecane tetraacetic acid (68Ga-DOTA) peptide PET-CT had good preliminary diagnostic value for well-differentiated pNENs, and 18Fluoro-fluorodeoxyglucose (18F-FDG) PET-CT had limited diagnostic value.ConclusionsSomatostatin receptor imaging is of high diagnostic value and can guide clinical treatment and predict prognosis, but it has not been widely used in China. Conventional morphological images have advantages in the diagnosis and classification of pNENs. Therefore, it is important to choose a proper image inspection method.
目的探讨胰腺血管活性肠肽瘤（VIPoma）的临床、实验室和影像学特点，以及诊断方法和治疗手段。 方法报道1例胰腺VIPoma，同时检索国内文献得到49例胰腺VIPoma患者临床资料，并对此50例病例进行分析。 结果分泌性腹泻、低血钾和代谢性酸中毒是胰腺VIPoma的主要临床表现，血浆血管活性肠肽（VIP）水平增高具有诊断价值。经手术治疗，腹泻症状可减轻或消失；对于远处转移患者，生长抑素、化疗、干扰素等治疗均有效。 结论VIPoma早期诊断困难，确诊依赖于典型临床症状、血浆VIP水平、影像学检查以及免疫组化检查。手术切除可改善预后，生长抑素等治疗可缓解症状，发生转移者也应积极治疗。