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 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.
Thymic neuroendocrine tumors (TNETs) are a series of rare diseases with aggressive biology and poor prognosis. Clinical manifestations of TNETs are atypical, and ectopic secretion of adrenocorticotropic hormone can be found in some cases, resulting in associated endocrine symptoms. Due to the low morbidity and strong heterogeneity, it’s difficult to diagnose, treat and obtain new treatment regimen. Early complete surgical resection is an effective treatment. For advanced cancer, clinical trials of new drugs are expected to improve the survival of patients.
ObjectiveTo summarize the diagnosis and treatment process of a patient who underwent laparoscopic local excision of duodenal papillary tumor, and to explore the safety and feasibility of this surgery. MethodThe clinicopathologic characteristics and surgical procedure of the patient with duodenal papillary neuroendocrine tumor admitted to the West China Hospital of Sichuan University in June 2021 were retrospectively analyzed. ResultsThe patient underwent the laparoscopic local excision of duodenal papillary tumor + in situ cholangiojejunostomy and pancreaticojejunostomy. The operation lasted about 3 hours, the blood loss was about 20 mL, and the patient exhausted on the 3rd day after the operation. On the 7th postoperative day, the gastric tube was pulled out and oral feeding was started. On the 8th day, the plasma drainage tube was pulled out and the patient was discharged smoothly. There was no duodenal fistula, bleeding, wound infection, and other complications. After 6 months of follow-up, the general condition of this patient was good, and no tumor recurrence or metastasis was found. ConclusionLaparoscopic local excision is an appropriate option for benign or low-grade malignancies involving the duodenal papillary tumor.
ObjectiveTo investigate the value of laparoscopic liver venous deprivation (LLVD) in promoting the growth of contralateral future liver remnant (FLR) during two-step hepatectomy. MethodThe clinicopathologic data of a 45-year-old female patient with pancreatic neuroendocrine tumor with multiple liver metastases (grade G2) treated by two-step hepatectomy based on LLVD in January 2022 in the Sichuan Provincial People’s Hospital were analyzed retrospectively. ResultsThe liver function returned to normal within 10 d after LLVD, and the relative increase ratio of FLR reached to 98.35% on postoperative day 10. The laparoscopic right hemi-hepatectomy and distal pancreatectomy plus splenectomy was performed without any postoperative complications, and the patient was discharged from hospital on postoperative day 8. No tumor recurrence or metastasis occurred during the follow-up period. ConclusionsFrom the analysis results of this case, the LLVD could promote the growth of FLR safely and effectively. LLVD provides an alternative surgical method of two-step hepatectomy for treatment of benign and malignant liver tumors.
Radionuclides can be labeled on biomolecules with specific binding ability. By binding with specific targets of tumors, particles such as α or β emitted by the radionuclides will specifically irradiate tumors and produce ionizing radiation effects, resulting in cell senescence and death within the irradiation range, achieving tumor treatment results, and this way has little impact on surrounding normal tissues. Lutetium-177 (177Lu) can emit γ rays for CT imaging, and can also emit β rays for tumor treatment, so 177Lu is now one of the radionuclides that can be used for integrated diagnosis and treatment. This review summarizes the clinical application of 177Lu in several solid tumors, in conjunction with currently published research.
ObjectiveTo explore the key genes and potential molecular mechanisms of liver and lymph node metastases relevant to duodenal neuroendocrine tumors (DNET). MethodsThe tissues of paracancerous duodenal epithelial, primary lesion, liver metastasis lesion, and lymph node metastasis lesion of a rare DNET accompanied by liver and lymph node metastases were sequenced and analyzed. The differentially expressed genes (DEGs) were screened for different tissues and the functional enrichment analysis was performed. ResultsThe tissues of paracancerous duodenal epithelial was used as the control, a total of 2 053 DEGs expressed only in the liver metastases lesion tissues and 742 DEGs expressed only in the lymph node metastases lesion tissues were screened out, and the top 5 genes expressed in the liver metastases lesion tissues were ORM1, C4BPA, AHSG, C9, and LBP, which in the lymph node metastases lesion tissues were ABHD12B, AC100850.1, HOXC9, AC083967.1, and HOXC8. Kyoto Encyclopedia of Genes and Genomes enrichment analysis found that the DEGs were mainly enriched in the phosphatidylinosiol 3 kinase / protein kinase B pathway, mitogen-activated protein kinase pathway, human papillomavirus infection, etc. ConclusionMultiple DEGs and pathways in metastatic lesions are found in this patient with DNET accompanied by liver metastasis and lymph node metastasis, which provides a new direction for treatment and prophylaxis of DNET.