ArticleClinical radiology2017
Contrast-enhanced MDCT in patients with pancreatic neuroendocrine tumours: correlation with histological findings and diagnostic performance in differentiation between tumour grades.
Article in Clinical radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 64 citations in OpenAlex.
- Role of extracellular volume fraction determined by dual-layer spectral detector CT in predicting the tumor grade of pancreatic neuroendocrine neoplasms.Japanese journal of radiology · 2026Article
- Last decade of advances in gastric neuroendocrine tumors: Innovations, challenges, and future directions.World journal of clinical oncology · 2025Article
- Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors.BMC medical imaging · 2025Article
- Differentiation between G3 pancreatic neuroendocrine tumor and pancreatic neuroendocrine carcinoma based on intratumor and peritumor CT value ratio and abnormal vascular network.Frontiers in oncology · 2025Article
- Diagnostic Value of Serum D-dimer, CA19-9, and CT Imaging Features in Pancreatic Ductal Adenocarcinoma and Benign Pancreatic Lesions.Journal of Cancer · 2025Article
- Article
- Imaging differentiation of solid pseudopapillary neoplasms and neuroendocrine neoplasms of the pancreas.European journal of radiology open · 2024Article
- Baseline radiologic features as predictors of efficacy in patients with pancreatic neuroendocrine tumors with liver metastases receiving surufatinib.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023Article
- Pancreatic neuroendocrine tumor: prediction of tumor grades by radiomics models based on ultrasound images.The British journal of radiology · 2023Article
- Application of spectral CT combined with perfusion scan in diagnosis of pancreatic neuroendocrine tumors.Insights into imaging · 2022Article
- New frontiers in imaging including radiomics updates for pancreatic neuroendocrine neoplasms.Abdominal radiology (New York) · 2022Review
- Enucleation Is a Feasible Procedure for Well-Differentiated pNEN-A Matched Pair Analysis.Cancers · 2022Article
- A New Preoperative Scoring System for Predicting Aggressiveness of Non-Functioning Pancreatic Neuroendocrine Neoplasms.Diagnostics (Basel, Switzerland) · 2022Article
- Computed tomography-based radiomics approach in pancreatic tumors characterization.La Radiologia medica · 2021Review
- Pancreatic neuroendocrine tumours: spectrum of imaging findings.Gland surgery · 2020Review
- Dynamic Enhancement Pattern on CT for Predicting Pancreatic Neuroendocrine Neoplasms with Low PAX6 Expression: A Retrospective Observational Study.Diagnostics (Basel, Switzerland) · 2020Article
- Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors.Journal of magnetic resonance imaging : JMRI · 2020Article
- Comparison between neuroendocrine carcinomas and well-differentiated neuroendocrine tumors of the pancreas using dynamic enhanced CT.European radiology · 2020Article
- Correlation between radiologic features on contrast-enhanced CT and pathological tumor grades in pancreatic neuroendocrine neoplasms.Journal of biomedical research · 2020Article
- Well Differentiated Grade 3 Neuroendocrine Tumors of the Digestive Tract: A Narrative Review.Journal of clinical medicine · 2020Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
aimTo identify the multidetector computed tomography (MDCT) features of pancreatic neuroendocrine tumours (pNETs), which correlate with tumour histology and enable preoperative grading. MATERIALS AND
methodsThirty-nine patients with histologically confirmed pNET who underwent preoperative contrast-enhanced MDCT were included in this study. Nineteen tumours were classified as Grade 1 (G1) and 20 as Grade 2 (G2). Histopathology slides were reviewed to assess the intratumoural microvascular density (MVD) and the amount of tumour stroma. Computed tomography (CT) image analysis included tumour size, margin delineation, calcifications, homogeneity, contrast enhancement (CE) pattern, tumour absolute and relative enhancement, presence of cystic changes, pancreatic duct dilatation, regional and distant metastases. The diagnostic ability to predict tumour grade was measured for each MDCT finding and their combinations.
resultsThe mean arterial enhancement ratio had a mean±standard deviation of 1.53±0.45 in G1 and 1.01±0.33 in G2 pNETs (p=0.0003) and correlated with intratumoural microvascular density (MVD; r=0.55, p=0.0002). Tissue stroma percentage did not correlate with imaging findings. Late CE of the tumour (the peak attenuation observed in the venous phase) was significantly associated with G2. Tumour size >20 mm, arterial enhancement ratio <1.1, and late CE showed 74.4%, 79.5%, and 74.4% accuracy, respectively, in diagnosing G2 tumours, while the accuracy of at least two of these criteria used in combination was 82%. Based on these results, a diagnostic algorithm was proposed, which showed high interobserver agreement (k=0.82) in the prediction of tumour grade.
conclusionContrast-enhanced MDCT features correlate with histological findings and enable the differentiation between G1 and G2 pNETs during preoperative examination.
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