ArticleBMC cancer2019
Differential diagnosis of pancreatic serous cystadenoma and mucinous cystadenoma: utility of textural features in combination with morphological characteristics.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Artificial Intelligence in Pancreatic Imaging: A Systematic Review.United European gastroenterology journal · 2025Pooled it
- Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?Abdominal radiology (New York) · 2026Review
- Differentiating multilocular hepatic cysts from mucinous cystic neoplasms: characteristic imaging signs and a machine learning diagnostic framework.Quantitative imaging in medicine and surgery · 2026Article
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- Synchronous Pancreatic Neoplasms Involving Pancreatic Ductal Adenocarcinoma: A Systematic Review of Case Reports.Journal of personalized medicine · 2025Review
- Imaging of pancreatic serous cystadenoma and common imitators.Abdominal radiology (New York) · 2024Review
- Diagnostics and Management of Pancreatic Cystic Lesions-New Techniques and Guidelines.Journal of clinical medicine · 2024Review
- Review
- Optimal peritoneal cancer index cutoff point for predicting surgical resectability of pseudomyxoma peritonei in treatment-naive patients.World journal of surgical oncology · 2024Article
- Bland-Altman agreement analysis between CT predicted and surgical peritoneal cancer index in pseudomyxoma peritonei of appendiceal origin.Scientific reports · 2023Article
- Association of Plasma Selenium and Its Untargeted Metabolomic Profiling with Cervical Cancer Prognosis.Biological trace element research · 2023Observational
- Automated diagnosis of pancreatic mucinous and serous cystic neoplasms with modality-fusion deep neural network using multi-modality MRIs.Frontiers in oncology · 2023Article
- Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review.Healthcare (Basel, Switzerland) · 2022Review
- Recent advances in the diagnostic evaluation of pancreatic cystic lesions.World journal of gastroenterology · 2022Review
- Retrospective Analysis of the Value of Enhanced CT Radiomics Analysis in the Differential Diagnosis Between Pancreatic Cancer and Chronic Pancreatitis.International journal of general medicine · 2022Article
- The molecular, immune features, and risk score construction of intraductal papillary mucinous neoplasm patients.Frontiers in molecular biosciences · 2022Article
- Letter to the Editor: "Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer".European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- A novel strategy to identify candidate diagnostic and prognostic biomarkers for gastric cancer.Cancer cell international · 2021Article
- Key Experimental Factors of Machine Learning-Based Identification of Surgery Cancellations.Journal of healthcare engineering · 2021Article
- Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis.Frontiers in oncology · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTexture analysis of medical images has been reported to be a reliable method for differential diagnosis of neoplasms. This study was to investigate the performance of textural features and the combined performance of textural features and morphological characteristics in the differential diagnosis of pancreatic serous and mucinous cystadenomas.
methodsWe retrospectively reviewed 59 patients with pancreatic serous cystadenoma and 32 patients with pancreatic mucinous cystadenoma at our hospital. A three-dimensional region of interest (ROI) around the margin of the lesion was drawn manually in the CT images of each patient, and textural parameters were retrieved from the ROI. Textural features were extracted using the LifeX software. The least absolute shrinkage and selection operator (LASSO) method was applied to select the textural features. The differential diagnostic capabilities of morphological features, textural features, and their combination were evaluated using receiver operating characteristic (ROC) analysis, and the area under the receiver operating characteristic curve (AUC) was used as the main indicator. The diagnostic accuracy based on the AUC value is defined as follows: 0.9-1.0, excellent; 0.8-0.9, good; 0.7-0.8, moderate; 0.6-0.7, fair; 0.5-0.6, poor.
resultsIn the differential diagnosis of pancreatic serous and mucinous cystadenomas, the combination of morphological characteristics and textural features (AUC 0.893, 95% CI 0.816-0.970) is better than morphological characteristics (AUC 0.783, 95% CI 0.665-0.900) or textural features (AUC 0.777, 95% CI 0.673-0.880) alone.
conclusionsIn conclusion, our preliminary results highlighted the potential of CT texture analysis in discriminating pancreatic serous cystadenoma from mucinous cystadenoma. Furthermore, the combination of morphological characteristics and textural features can significantly improve the diagnostic performance, which may provide a reliable method for selecting patients with surgical intervention indications in consideration of the different treatment principles of the two diseases.
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