Literature DB >> 30378041

Develop Nomogram to Predict Malignancy of Intraductal Papillary Mucinous Neoplasm.

Yongkang Kim1, Taesung Park2,3.   

Abstract

A nomogram is a useful graphical tool for presenting a risk prediction and prognosis prediction in medical research. Intraductal papillary mucinous neoplasm (IPMN) is the premalignant lesions of the pancreas. Among the IPMN, branch duct (BD) IPMN is hard to determine whether progress to an invasive tumor or not. Surgery on the pancreas part is likely to lower the quality of life of the patient, so avoiding surgery to remove IPMN tissue of the patients with low risk should be carefully decided. In this study, we introduce the process of constructing a nomogram and illustrate it with a prediction model to predict malignancy of IPMN.

Entities:  

Keywords:  Bootstrap calibration; Cross-validation; IPMN; Logistic regression; Nomogram

Mesh:

Year:  2019        PMID: 30378041     DOI: 10.1007/978-1-4939-8879-2_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Development of the Smartphone Addiction Risk Rating Score for a Smartphone Addiction Management Application.

Authors:  Jihwan Park; Jo-Eun Jeong; Seo Yeon Park; Mi Jung Rho
Journal:  Front Public Health       Date:  2020-09-11
  1 in total

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