Data-Driven Decision Support for Radiologists: Re-using the National Lung Screening Trial Dataset for Pulmonary Nodule Management

James J. Morrison, Jason Hostetter, Kenneth Wang, Eliot L. Siegel

Research output: Contribution to journalArticle

Abstract

Real-time mining of large research trial datasets enables development of case-based clinical decision support tools. Several applicable research datasets exist including the National Lung Screening Trial (NLST), a dataset unparalleled in size and scope for studying population-based lung cancer screening. Using these data, a clinical decision support tool was developed which matches patient demographics and lung nodule characteristics to a cohort of similar patients. The NLST dataset was converted into Structured Query Language (SQL) tables hosted on a web server, and a web-based JavaScript application was developed which performs real-time queries. JavaScript is used for both the server-side and client-side language, allowing for rapid development of a robust client interface and server-side data layer. Real-time data mining of user-specified patient cohorts achieved a rapid return of cohort cancer statistics and lung nodule distribution information. This system demonstrates the potential of individualized real-time data mining using large high-quality clinical trial datasets to drive evidence-based clinical decision-making.

Original languageEnglish (US)
Pages (from-to)18-23
Number of pages6
JournalJournal of Digital Imaging
Volume28
Issue number1
DOIs
StatePublished - 2014
Externally publishedYes

Fingerprint

Screening
Servers
Lung
Clinical Decision Support Systems
Data mining
Data Mining
Query languages
Lung Neoplasms
Language
Interfaces (computer)
Decision making
Statistics
Information Dissemination
Early Detection of Cancer
Research
Demography
Datasets
Radiologists
Clinical Trials
Population

Keywords

  • Data mining
  • Decision support
  • Decision support techniques
  • Web technology

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Computer Science Applications

Cite this

Data-Driven Decision Support for Radiologists : Re-using the National Lung Screening Trial Dataset for Pulmonary Nodule Management. / Morrison, James J.; Hostetter, Jason; Wang, Kenneth; Siegel, Eliot L.

In: Journal of Digital Imaging, Vol. 28, No. 1, 2014, p. 18-23.

Research output: Contribution to journalArticle

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