Clinical prediction model to characterize pulmonary nodules
With the introduction of CT-screening for lung cancer, the number of solitary pulmonary nodules (SPN) discovered by chest films strongly increased. Yet the diagnosis often remains unclear after noninvasive evaluation. The current model estimates a patients risk of malignancy based on the addition of 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) outcomes to a recently described prediction model. 
Research authors: Gerarda J. Herder, Harm van Tinteren, Richard P. Golding, Piet J. Kostense, Emile F. Comans, Egbert F. Smit, Otto S. Hoekstra
Details Formula Study characteristics Files & References
★★★
Model author
Model ID
1073
Version
1.8
Revision date
2017-12-22
MeSH terms
  • Solitary Pulmonary Nodule
  • Lung Cancer
  • Model type
    Custom model (Calculation)
    Status
    public
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    Formula

    Additional information

    Between August 1997 and March 2001, all patients with an indeterminate SPN, which had been detected during normal clinical work in both university and community hospital settings, who had been referred for FDG-PET scanning were retrospectively identified from the database of the PET center at the VU University Medical Centre. In our database, the characteristics of all patients are registered using a modified version of the American College of Radiology Index for Radiologic Diagnoses.

    Mean age, yr (SD) in the Malignant tumor group is 66 (10) and in the Benign tumor group 60 (13)

    Study Population

    Total population size: 106
    Males: {{ model.numberOfMales }}
    Females: {{ model.numberOfFemales }}

    Categorical characteristics

    Name Subset / Group Nr. of patients
    Tumor Benign 45
    Malignant 61
    Smoker None 27
    Current or former 79
    Cancer > 5 yrs ago No 96
    Yes 10
    Spicula <50% 64
    ≥50% 42
    Location Upper lobe 70
    Elsewhere 36
    Diameter, mm ≤10 33
    11-20 42
    21-30 31
    FDG-PET uptake Absent 27
    Faint 7
    Moderate 23
    Intense 49
    Clinical prediction model to characterize pulmonary nodules
    V-1.8-1073.17.12.22
    Refer to Intended Use for instructions before use
    Evidencio B.V., Irenesingel 19, 7481 GJ, Haaksbergen, the Netherlands

    Related files

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    The probability of malignancy is:
    ...
    %

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    Result
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    The probability of malignancy is: %

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    Outcome stratification

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    Conditional information

    Result interpretation

    The current model may assist identification of malignancies in patients included in lung cancer screening programmes. The estimated risks supports decisionmaking regarding utilization of empiric stereotactic body radiation therapy (SBRT)

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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