1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 3:Performance of 17 multivariate prediction rulesa
Predict Grade III If and Only If Specificity Sensitivity Negative Predictive Value Positive Predictive Value Accuracy Specificity + Sensitivity A 89.1% 62.1% 78.9% 78.3% 78.7% 151.2% E 80.4% 72.4% 82.2% 70.0% 77.3% 152.9% C 75.0% 52.4% 64.3% 64.7% 64.4% 127.4% A + E 95.7% 41.4% 72.1% 85.7% 74.7% 137.0% A + C 91.7% 38.1% 62.9% 80.0% 66.7% 129.8% E + C 87.5% 52.4% 67.7% 78.6% 71.1% 139.9% A or E 73.9% 93.1% 94.4% 69.2% 81.3% 167.0% A or C 75.0% 81.0% 81.8% 73.9% 77.8% 156.0% E or C 66.7% 76.2% 76.2% 66.7% 71.1% 142.9% A + E + C 95.8% 38.1% 63.9% 88.9% 68.9% 133.9% A or E or C 66.7% 95.2% 94.1% 71.4% 80.0% 161.9% A or (E + C) 83.3% 81.0% 83.3% 81.0% 82.2% 164.3% E or (A + C) 75.0% 76.2% 78.3% 72.7% 75.6% 151.2% C or (A + E) 75.0% 61.9% 69.2% 68.4% 68.9% 136.9% A + (E or C) 91.7% 47.6% 66.7% 83.3% 71.1% 139.3% E + (A or C) 87.5% 61.9% 72.4% 81.3% 75.6% 149.4% C + (A or E) 83.3% 52.4% 66.7% 73.3% 68.9% 135.7%
↵a Based on the dichotomizations of ADC (A), enhancement (E), and calcification (C).