ArticleCancers2020
CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The trial behind it
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Who cites it
36 citing papers in PubMed, 55 citations in OpenAlex.
- Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?Abdominal radiology (New York) · 2026Review
- Radiomic MRI model for predicting the development of worrisome features in branch-duct intraductal papillary mucinous neoplasms (BD-IPMNs).La Radiologia medica · 2026Article
- Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.Abdominal radiology (New York) · 2026Article
- Imaging-Based Risk Stratification of IPMN Using a Structured Imaging Score: A Retrospective Proof-of-Concept Study.Current oncology (Toronto, Ont.) · 2026Article
- DIAGNOSIS AND MANAGEMENT OF INTRADUCTAL PAPILLARY MUCINOUS NEOPLASMS: A NARRATIVE REVIEW BASED ON INTERNATIONAL GUIDELINES.Arquivos de gastroenterologia · 2026Review
- Pancreatic Cancer Detection in Intraductal Papillary Mucinous Neoplasm (IPMN)-New Insights.Cancers · 2025Review
- Advancements in Radiomics-Based AI for Pancreatic Ductal Adenocarcinoma.Bioengineering (Basel, Switzerland) · 2025Review
- Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.Research square · 2025Article
- Prediction of solid pseudopapillary tumor invasiveness of the pancreas based on multiphase contrast-enhanced CT radiomics nomogram.Frontiers in oncology · 2025Article
- Early prediction of acute gallstone pancreatitis severity: a novel machine learning model based on CT features and open access online prediction platform.Annals of medicine · 2024Article
- Early detection of pancreatic cancer in the era of precision medicine.Abdominal radiology (New York) · 2024Review
- Review
- Value of CT-based radiomics in evaluating the response of bone metastases to systemic drug therapy in breast cancer patients.Thoracic cancer · 2024Article
- Quantitative radiomics analysis of imaging features in adults and children Mycoplasma pneumonia.Frontiers in medicine · 2024Article
- Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application.Abdominal radiology (New York) · 2024Review
- Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review.The British journal of surgery · 2023Article
- Intraductal Papillary Mucinous Neoplasm of the Pancreas: A Challenging Diagnosis.Diagnostics (Basel, Switzerland) · 2023Review
- Virtual biopsy in abdominal pathology: where do we stand?BJR open · 2023Review
- Potential of artificial intelligence in the risk stratification for and early detection of pancreatic cancer.Artificial intelligence surgery · 2023Article
- Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologists.Abdominal radiology (New York) · 2022Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess the performance of CT-based radiomics analysis in differentiating benign from malignant intraductal papillary mucinous neoplasms of the pancreas (IPMN), preoperative scans of 408 resected patients with IPMN were retrospectively analyzed. IPMNs were classified as benign (low-grade dysplasia,
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.