Solitary pulmonary nodule malignancy risk (Cummings prediction model: Bayesian approach)

 
Input
 
Patient age
Nodule size
Edge on CXR
Tomographic appearance
Edge by CT
Calcification on tomography
Calcification on CT
Growth rate
Location
Max cavity wall thickness
Smoking history
Hemoptysis
Previous malignancy

 
Results
 
 
Post test odds  
Cancer probability  
 
Decimal Precision  
 
Notes
  • This calculator incorporates a pretest odds of 0.28:1. Local prevalence may be different than the population studied in the Gurney articles.1,2

 
Equations used
 
Post test odds = 0.28 * Patient age * Nodule size * Edge on CXR * Tomographic appearance * Edge by CT * Calcification on tomography * Calcification on CT * Growth rate * Location * Max cavity wall thickness * Smoking history * Hemoptysis * Previous malignancy
Posttestodds = 0.28 * Patientage * Nodulesize * EdgeonCXR * Tomographicappearance * EdgebyCT * Calcificationontomography * CalcificationonCT * Growthrate * Location * Maxcavitywallthickness * Smokinghistory * Hemoptysis * Previousmalignancy
Cancer probability = 100 * Post test odds / (1 + Post test odds)
Cancerprobability = 100 * Posttestodds / (1 + Posttestodds)

 

 
References
  1. Gurney JW. Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part I. Theory. Radiology. 1993 Feb;186(2):405-13. PubMed ID: 8421743 PubMed Logo
  2. Gurney JW, Lyddon DM, McKay JA. Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part II. Application. Radiology. 1993 Feb;186(2):415-22. PubMed ID: 8421744 PubMed Logo

 

 
 
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