Solitary Pulmonary Nodule Malignancy Risk

Workup a solitary pulmonary nodule

Solitary Pulmonary Nodule Malignancy Risk

Workup a solitary pulmonary nodule

Solitary Pulmonary Nodule Malignancy Risk

Workup a solitary pulmonary nodule

Solitary Pulmonary Nodule Malignancy Risk

Workup a solitary pulmonary nodule

1.Age?
2.Smoker (current or previous)?
3.Extra-thoracic cancer more than 5 years previous?
4.Diameter?
5.Upper Lobe?
6.Spiculated?
7.PET?
Created by on 01/08/2015

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About this Calculator

This formula is derived based on data from 629 patients in the mid-1980's who were found to have a solitary pulmonary nodule, defined as a nodule between 4mm and 30mm (Swensen et al, 1997). 419 patients were used for the formula derivation with 210 patients in the validation group. The study population did not include patients having a diagnosis of cancer within the last 5 years. 2/3 of all patients were found to have benign disease, with 23% having malignancy diagnosed. The same investigators subsequently found that this clinical prediction model had similar accuracy compared to expert clinicians (Swensen et al, 1999).

The prediction rule by Swensen has been externally validated in a study of 106 patients with similar characteristics, but a higher incidence of malignancy (Herder et al, 2005). This subsequent study proved that the addition of positron emission tomography (PET) significantly improved accuracy, although the clinical relevance of this improvement is questionable. This study provided a correction factor for the original equation based on the PET scan result. This correction factor was based on three categories of PET scan interpretation, specifically absent or faint, moderate, or intense uptake. Patients with faint uptake were considered to have a negative PET scan and were thus analyzed together with the absent uptake subgroup.

Another equation was developed based on 375 patients with nodules measuring 7-30mm in diameter (Gould et al, 2007). 54% of patients were found to have a malignancy. 4 characteristics were found to be independent predictors of malignancy including age, history of smoking, time since smoking cessation, and nodule diameter. The Swensen and Gould equations were both validated in another subsequent study (Schultz et al, 2008). Both equations were accurate with ROC curves of approximately 0.8. The original Swensen equation slightly underestimated and the Gould equation slightly overestimated the probability of malignancy.

1. Age?

Years
Created by on 01/08/2015

By using this site you acknowledge that you have read, understand, and agree to be bound by our terms of use and privacy policy. All content and tools are for educational use only, are not meant to be a substitute for professional advice and should not be used for medical diagnosis and/or medical treatment.

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