Solitary Pulmonary Nodule - Model for Predicting Lung Cancer

Purpose: To estimate that a patient with a solitary lung nodule has lung cancer based on the model of Gould et al.

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Evaluation

Are you evaluating a patient with a solitary lung nodule?

Yes

Maximum diameter of the lung nodule

Age of the patient

years

Is the patient a current or former smoker?

Yes

Number of years since quitting smoking

Results

Please fill out required fields.

Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Probability of

Probability that the patient has lung cancer

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
- Probability of Malignancy in a Solitary Pulmonary Nodule Using the Equation of Swensen et al
- Pulmonary Nodule Cancer Screening: Parsimonious for Nonspiculated Mass
Imaging Studies
- Probability of Cancer in Pulmonary Nodule on First Screening CT
- Probability of Cancer in Pulmonary Nodule - Parsimonious for Spiculated Mass
Laboratory Tests
- Probability of Cancer in Pulmonary Nodule Model for Spiculated Mass
Other Testing
Criteria For Diagnosis
- Probability of Malignancy in a Solitary Pulmonary Nodule Using the Equation of Swensen et al
Severity, Prognosis, Stage
- Probability of Malignancy in a Solitary Pulmonary Nodule Using the Equation of Swensen et al

Therapy

Options
- Guidelines from the Fleischner Society for Managing a Small Pulmonary Nodule Detected on a CT Scan

Specialty

Pulmonology
Hematology Oncology

Objective

risk factors
other testing

ICD-10

J98.4 - Other disorders of lung

Info

Purpose: To estimate that a patient with a solitary lung nodule has lung cancer based on the model of Gould et al.

Specialty: Pulmonology, Hematology Oncology

Objective: risk factors, other testing

ICD-10: J98.4,

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