33 research outputs found

    Dose and relative cancer risk for each individual patient (male-M, female-F) calculated for the low dose protocol, sorted by patient age.

    No full text
    <p>Dose and relative cancer risk for each individual patient (male-M, female-F) calculated for the low dose protocol, sorted by patient age.</p

    Scatter plots showing the correlation between lung dose and patient effective diameters for standard dose (SDCT) and low-dose CT (LDCT) examinations.

    No full text
    <p>Scatter plots showing the correlation between lung dose and patient effective diameters for standard dose (SDCT) and low-dose CT (LDCT) examinations.</p

    Representative transverse CT sections of a female patient with a nodule (arrow) scanned with a standard dose protocol (lung dose 5.6 mGy) (a), and a male patient with a ground glass nodule at the fissure (arrow) scanned with a low-dose CT protocol (lung dose 0.44 mGy) (b).

    No full text
    <p>Representative transverse CT sections of a female patient with a nodule (arrow) scanned with a standard dose protocol (lung dose 5.6 mGy) (a), and a male patient with a ground glass nodule at the fissure (arrow) scanned with a low-dose CT protocol (lung dose 0.44 mGy) (b).</p

    Dose and relative cancer risk for each individual patient (male-M, female-F) calculated for the standard dose protocol, sorted by patient age.

    No full text
    <p>Dose and relative cancer risk for each individual patient (male-M, female-F) calculated for the standard dose protocol, sorted by patient age.</p

    Differences of texture analysis features in controls and patients with acute MI.

    No full text
    <p>First- (histogram, <b>left column</b>), second- (GLCM, <b>middle column</b>), and third-level (GLRLM, <b>right column</b>) texture analysis features in a patient with acute myocardial infarction (<b>upper row</b>) and in a control (<b>lower row</b>). Note the additional peak at lower gray levels in patients with acute myocardial infarction indicating the proportion of voxels with a lower density and the divergent distribution of voxels in GLCM and GLRLM between controls and patients.</p

    ROC analysis showing the best model for predicting acute MI.

    No full text
    <p>ROC analysis comparing the accuracy of the texture analysis features kurtosis (green; AUC: 0.78), correlation (orange; AUC: 0.81) and SRHGE (purple; AUC: 0.82) for predicting acute myocardial infarction. Combined analysis of kurtosis and SRHGE (red; mostly hidden behind the blue line, AUC: 0.9). Adding the parameter correlation to the first model added no benefit for the prediction of acute MI (blue; AUC: 0.9). Reference line in grey.</p

    Intraclass correlation coefficients indicating the inter- and intrareader variability of all texture analysis features at each slice thickness.

    No full text
    <p>Intraclass correlation coefficients indicating the inter- and intrareader variability of all texture analysis features at each slice thickness.</p

    Reformatted short axis images of the left ventricle.

    No full text
    <p>Reformatted short axis images of the left ventricle at a slice thickness of 5 mm in a control (<b>A</b>) and in a patient with acute myocardial infarction (<b>B</b>) illustrating the free-hand regions-of-interest for texture analysis. Note the septal hypodensity indicating myocardial infarction (arrows).</p
    corecore