Table 5. Classification Accuracy of the Multivariate Algorithm for Subgroups of Patients in the Combined Set (Training and Validation Set).

		Cases correctly classifieda/Total cases	% Sn at 43% Sp
Lung Cancer		88/92	95.6
NSCLC		76/80	95
	I	18/19	94.7
	II	3/3	100
	III	20/21	95.2
	IV	35/37	94.6
	ADC	41/44	93.2
	SqCC	20/20	100
	LCC	13/13	100
	BAC	1/2	50
	ND	1/1	100
SCLC		12/12	100
		Cases correctly classifieda/Total cases	% Sp at 95% Sn
Control		41/94	43.6
Healthy		18/44	40.9
Benign		23/50	46
	RI	19/41	46.3
	ILD	4/9	44.4
Accuracy in the Classification of Cancer and Controls regarding CT imaging
Absence of Nodules in CT scan		Cases correctly classifieda/Total cases	% Sn at 43% Sp
Lung Cancer		7/7	100
NSCLC		6/6	100
	I	1/1	100
	II	2/2	100
	III	1/1	100
	IV	2/2	100
SCLC	Extended	1/1	100
Presence of Nodules in CT scan		Cases correctly classifieda/Total cases	% Sp at 95% Sn
Control		1/3	33.3
Healthy		0/1	0
Benign		1/2	50

Abbreviations: Sn = Sensitivity, Sp = Specificity, NSCLC = Non Small Cell Lung Cancer, ADC = Adenocarcinoma, SqCC = Squamous Cell Carcinoma, LCC = Large Cell Carcinoma, BAC = Bronchioloalveolar Carcinoma, ND = Not Differentiated Carcinoma, SCLC = Small Cell Lung Cancer, RI = Respiratory Infection, ILD = Interstitial Lung Disease.

^aCut-off p = 0.266 for a sensitivity of 97% and specificity of 43% in the training set.