ArticleJournal of the American Medical Informatics Association : JAMIA2017
A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Guideline
- ACG Clinical Guideline: Diagnosis and Management of Pancreatic Cysts.The American journal of gastroenterology · 2018Guideline
- Can we better predict the biologic behavior of incidental IPMN? A comprehensive analysis of molecular diagnostics and biomarkers in intraductal papillary mucinous neoplasms of the pancreas.Langenbeck's archives of surgery · 2018Pooled it
- The differential diagnosis of pancreatic cystic neoplasms with conventional ultrasound and contrast-enhanced ultrasound.Quantitative imaging in medicine and surgery · 2024Article
- Low-Pass Genomic Sequencing Reveals Novel Subtypes of Pancreatic Cystic Neoplasms.Annals of surgical oncology · 2023Article
- Advances in the Diagnosis of Pancreatic Cystic Lesions.Diagnostics (Basel, Switzerland) · 2022Review
- Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts.Abdominal radiology (New York) · 2022Article
- Solid pseudopapillary neoplasm-diagnostic approach and post-surgical follow up: Three case reports and review of literature.World journal of clinical cases · 2021Article
- Stratifying Intraductal Papillary Mucinous Neoplasms by Cyst Fluid Analysis: Present and Future.International journal of molecular sciences · 2020Review
- Cross Validation of the Monoclonal Antibody Das-1 in Identification of High-Risk Mucinous Pancreatic Cystic Lesions.Gastroenterology · 2019Article
- A multimodality test to guide the management of patients with a pancreatic cyst.Science translational medicine · 2019Article
- Cyst Fluid Biosignature to Predict Intraductal Papillary Mucinous Neoplasms of the Pancreas with High Malignant Potential.Journal of the American College of Surgeons · 2019Article
- Simple Detection of Telomere Fusions in Pancreatic Cancer, Intraductal Papillary Mucinous Neoplasm, and Pancreatic Cyst Fluid.The Journal of molecular diagnostics : JMD · 2018Article
- [Cystic pancreatic tumors: diagnostics and new biomarkers].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2017Review
- Predicting the Grade of Dysplasia of Pancreatic Cystic Neoplasms Using Cyst Fluid DNA Methylation Markers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Development of a new risk score for invasive cancer in branch-duct intraductal papillary mucinous neoplasms according to morphological characterization by EUS.Endoscopic ultrasoundArticle
- Article
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Authors and funding
36 authors.
Funding
Abstract
objectiveOur objective was to develop an approach for selecting combinatorial markers of pathology from diverse clinical data types. We demonstrate this approach on the problem of pancreatic cyst classification. MATERIALS AND
methodsWe analyzed 1026 patients with surgically resected pancreatic cysts, comprising 584 intraductal papillary mucinous neoplasms, 332 serous cystadenomas, 78 mucinous cystic neoplasms, and 42 solid-pseudopapillary neoplasms. To derive optimal markers for cyst classification from the preoperative clinical and radiological data, we developed a statistical approach for combining any number of categorical, dichotomous, or continuous-valued clinical parameters into individual predictors of pathology. The approach is unbiased and statistically rigorous. Millions of feature combinations were tested using 10-fold cross-validation, and the most informative features were validated in an independent cohort of 130 patients with surgically resected pancreatic cysts.
resultsWe identified combinatorial clinical markers that classified serous cystadenomas with 95% sensitivity and 83% specificity; solid-pseudopapillary neoplasms with 89% sensitivity and 86% specificity; mucinous cystic neoplasms with 91% sensitivity and 83% specificity; and intraductal papillary mucinous neoplasms with 94% sensitivity and 90% specificity. No individual features were as accurate as the combination markers. We further validated these combinatorial markers on an independent cohort of 130 pancreatic cysts, and achieved high and well-balanced accuracies. Overall sensitivity and specificity for identifying patients requiring surgical resection was 84% and 81%, respectively.
conclusionsOur approach identified combinatorial markers for pancreatic cyst classification that had improved performance relative to the individual features they comprise. In principle, this approach can be applied to any clinical dataset comprising dichotomous, categorical, and continuous-valued parameters.
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