Description

Soardi et al reported a model for evaluating a patient with a solid solitary pulmonary nodule. This can help to identify a patient who may or may not have a lung malignancy. The authors are from Azienda Ospedaliera Universitaria Integrata di Verona in Verona, Italy.


Patient selection: solid solitary pulmonary nodule, < 89 years, size 4 to 30 mm

 

Parameters:

(1) age in years

(2) smoking history

(3) history of previous malignancy (not defined)

(4) diameter in mm

(5) lobe

(6) edges

(7) volume doubling time in days

(8) minimum HU value

(9) enhancement at CE-CT (presumably contrast-enhanced CT)

(10) FDG-PET SUV

 

Parameter

Finding

Likelihood Ratio

age in years

< 40 years

0.603

 

40 to 49 years

0.905

 

50 to 59 years

0.980

 

60 to 69 years

0.762

 

70 to 79 years

1.616

 

80 to 89 years

0.884

smoking history

never

0.619

 

< 40 pack years

1.216

 

>= 40 pack years

3.7

previous malignancy

no

0.72

 

yes

2.454

diameter

4 to 10 mm

0.4

 

11 to 15 mm

0.882

 

16 to 20 mm

2.308

 

21 to 25 mm

2.284

 

26 to 30 mm

3.391

lobe

lower

0.889

 

middle or lingula

1.271

 

upper

1.044

edges

smooth, elliptical, polygonal

0.293

 

minimally lobulated

0.735

 

deeply lobulated

1.888

 

frayed

3.71

 

spiculated

7.884

volume doubling time

25 to 400 days

14.472

 

401 to 900 days

2.412

 

> 900 days

0.085

minimum HU value

< - 60 HU

0.239

 

-60 to -30 HU

0.922

 

> - 30 HU

1.462

enhancement at CE-CT

< 15 HU

0.258

 

15 to 40 HU

0.586

 

> 40 HU

5.004

FDG-PET SUV

SUV < 1

0.636

 

SUV 1 to 2.49

0.687

 

SUV >= 2.5

1.812

 

cumulative likelihood ratio =

= PRODUCT(likelihood ratios all of the parameters)

 

Interpretation:

• minimum cumulative likelihood ratio: 0.0000933

• maximum cumulative likelihood ratio: 95,651

 

post-test odds of malignancy =

= (pre-test odds) * (cumulative likelihood ratio)


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