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

Journal of Digital Imaging

Volumn 28, Issue 1, 2015, Pages 18-23

  Morrison, James J ^a   Hostetter, Jason ^a   Wang, Kenneth ^b   Siegel, Eliot L ^a,b  

^a UNIVERSITY OF MARYLAND   (United States)

^b BALTIMORE VA MEDICAL CENTER   (United States)

Author keywords

Data mining; Decision support; Decision support techniques; Web technology

Indexed keywords

BIOLOGICAL ORGANS; CLINICAL RESEARCH; DECISION MAKING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DIGITAL STORAGE; DISEASES; HIGH LEVEL LANGUAGES; LARGE DATASET; MEDICAL APPLICATIONS; QUERY LANGUAGES;

CLINICAL DECISION MAKING; CLINICAL DECISION SUPPORT; DECISION SUPPORT TECHNIQUES; DECISION SUPPORTS; LUNG CANCER SCREENING; REAL-TIME DATA MINING; STRUCTURED QUERY LANGUAGES; WEB TECHNOLOGIES;

DATA MINING;

DATA MINING; DECISION SUPPORT SYSTEM; HUMAN; LUNG TUMOR; MASS SCREENING; PROCEDURES; RADIOGRAPHY; RADIOLOGY; SPIRAL COMPUTER ASSISTED TOMOGRAPHY;

DATA MINING; DECISION SUPPORT TECHNIQUES; HUMANS; LUNG NEOPLASMS; MASS SCREENING; RADIOLOGY; TOMOGRAPHY, SPIRAL COMPUTED;

EID: 84922001280     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-014-9720-1     Document Type: Article

References (21)

1. American Cancer Society. Cancer Facts & Figures 2013. Available from: http://www.cancer.org/research/cancerfactsfigures/cancerfactsfigures/cancer-facts-figures 2013. Accessed 14 February 2014.
2. National Cancer Institute. Surveillance, Epidemiology, and End-Results Program. Available from: http://seer.cancer.gov/statfacts/html/lungb.html. Accessed 25 December 2013.
3. Aberle DR, DeMello S, Berg CD, Black WC, Brewer B, Church TR, et al: Results of the two incidence screenings in the national lung screening trial. N Engl J Med 369:920–31, 2013
4. United States Preventative Services Task Force. Lung Cancer Screening 2013 Available from: http://www.uspreventiveservicestaskforce.org/uspstf/uspslung.htm. Accessed 19 December 2013.
5. Tota JE, Ramanakumar AV, Franco EL. Lung cancer screening: review and performance comparison under different risk scenarios. Lung 192:55–63, 2014
6. Reiner BI, Siegel EL: The clinical imperative of medical imaging informatics. J Digit Imaging 22:345–7, 2009
7. Chen W, Liu J, Chen Q, Li W, Xiong Z, Long X: Bayes analysis in clinical decision-making for solitary pulmonary nodules. Zhong Nan Da Xue Xue Bao Yi Xue Ban 34:401–5, 2009
8. Sesen MB, Nicholson AE, Banares-Alcantara R, Kadir T, Brady M: Bayesian networks for clinical decision support in lung cancer care. PloS one 8:e82349, 2013
9. Raja AS, Ip IK, Prevedello LM, Sodickson AD, Farkas C, Zane RD, et al: Effect of computerized clinical decision support on the use and yield of CT pulmonary angiography in the emergency department. Radiology 262:468–74, 2012
10. Canonical LLC. Ubuntu Linux. Available from: http://www.ubuntu.com. Accessed 25 December 2013.
11. DigitalOcean Inc. DigitalOcean. Available from: http://www.digitalocean.com. Accessed 25 December 2013.
12. NGINX Inc. NGINX. Available from: http://www.nginx.org. Accessed 25 December 2013.
13. Oracle Inc. MySQL. Available from: http://www.mysql.com. Accessed 25 December 2013.
14. Joyent Inc. NodeJS. Available from: http://www.nodejs.org. Accessed 25 December 2013.
15. Geisendorfer F. node-mysql. Available from: https://npmjs.org/package/mysql. Accessed 26 December 2013.
16. Otto M, Thornton J. Bootstrap. Available from: http://www.getbootstrap.com. Accessed 25 December 2013.
17. Google Inc. AngularJS. Available from: http://www.angularjs.org. Accessed 25 December 2013.
18. The JQuery Foundation. jQuery. Available from: http://www.jquery.com. Accessed 25 December 2013.
19. Kahn CE, Jr: Artificial intelligence in radiology: decision support systems. Radiographics 14:849–61, 1994
20. Boroczky L, Simpson M, Abe H, Drysdale J: Observer study of a prototype clinical decision support system for breast cancer diagnosis using dynamic contrast-enhanced MRI. AJR American J Roentgenol, 200:277–83, 2013
21. Wang KC, Jeanmenne A, Weber GM, Thawait SK, Carrino JA: An online evidence-based decision support system for distinguishing benign from malignant vertebral compression fractures by magnetic resonance imaging feature analysis. J Digit Imaging 24:507–15, 2011