World Journal of Oncology, ISSN 1920-4531 print, 1920-454X online, Open Access
Article copyright, the authors; Journal compilation copyright, World J Oncol and Elmer Press Inc
Journal website http://www.wjon.org

Original Article

Volume 3, Number 3, June 2012, pages 113-118


The Role of Multi Detector Computed Tomographic Imaging Prior to Clinic Consultation in Patients Suspected to Have Lung Cancer

Tables

Table 1. Showing the Distribution of Patients Into Various Categories and the Respective Risk Scores
 
n = 124Malignancy
53 (43%)
No Malignancy
71 (57%)
*unpaired t test, P = ns; ∧chi-square test, P < 0.0001.
Age (mean (SEM))*69 (1.52)67 (1.59)
Abnormality in %Lung89None21
Metastasis7Insignificant24
Others4Significant55
CXR score in %00021
123124
277255
Clinical risk score in %02031
136163
26226
MCRS∧ in %0-2 (Low)250-2 (Low)85
3 (Intermediate)133 (Intermediate)10
4 (High)624 (High)6

 

Table 2. Logistic Regression Showing Significant Increase in Risk of Malignancy With Increasing MCRS and no Significant Influence of Age on Prediction of Malignancy
 
Logistic Regression
Dichotomous dependent variable: Lung cancer
Predictor variablesB (SE)Wald’s χ2POdds Ratio (95% CI)
Goodness-of-fit test: Hosmer and Lemeshow; χ2 = 11.576, P = 0.171; Nagelkerke R2 = 0.499, c-statistic = 84.9%; Model accuracy in classification = 81.5%, Improvement in classification from baseline = 24.2%; Sensitivity = 69.81%, Specificity = 90.14%, PPV = 84.09%, NPV = 80%.
Age0.023(0.020)1.3710.2421.024 (0.984 - 1.065)
MCRS36.270< 0.0001
MCRS (1) (L with M)-1.509 (0.621)5.9000.0150.221 (0.065 - 0.747)
MCRS (2) (M with H)-2.191 (0.764)8.2250.0040.112 (0.025 - 0.500)

 

Table 3. Algorithm Incorporating MCRS and Age
 
Modified Combined risk score (MCRS)Below 40 yrsAbove 40 yrs
High (4)Staging CTStaging CT
Intermediate (3)Focused CT thoraxStaging CT
Low (0-2)Review in clinicFocused CT Thorax