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Kidney: Histogram Analysis and Perfusion Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ Kidney ❯ Histogram Analysis and Perfusion

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  • “They found that the CAIX score has prog- nostic significance in high-risk clear cell RCC with regard to disease-free survival, overall survival, and lymph node involvement. Clear cell RCCs with a CAIX score of 200–300 had improved overall survival and disease-free survival in comparison with clear cell RCCs with a CAIX score of 0–100. Most patients without lymphatic spread had a CAIX score of 200–300, whereas most patients with lymphatic spread had a CAIX score of 0–199.”
    Association of the Gross Appearance of Intratumoral Vascularity at MDCT With the Carbonic Anhydrase IX Score in Clear Cell Renal Cell Carcinoma
    Young JR et al.
    AJR 2018; 211:1254–1258
  • “Clear cell RCCs with higher CAIX scores were more likely to have the gross appearance of intratumoral vascularity at MDCT. The gross appearance of intratumoral vascularity was present in 78% (43/55) of clear cell RCCs with a CAIX score of 200–300, compared with 60% (24/40) of clear cell RCCs with a CAIX score of 101–199 and 30% (3/10) of clear cell RCCs with a CAIX score of 0–100.”
    Association of the Gross Appearance of Intratumoral Vascularity at MDCT With the Carbonic Anhydrase IX Score in Clear Cell Renal Cell Carcinoma
    Young JR et al.
    AJR 2018; 211:1254–1258
  • "To our knowledge, our study is the first proof of concept study to show an association between the gross appearance of intratumoral vascularity on MDCT images and CAIX score at pathologic analysis. Because of the prognostic significance of a CAIX score, a noninvasive means of predicting the CAIX score preoperatively may help guide clinical decision making and patient counseling in the future, if validated prospectively.”
    Association of the Gross Appearance of Intratumoral Vascularity at MDCT With the Carbonic Anhydrase IX Score in Clear Cell Renal Cell Carcinoma
    Young JR et al.
    AJR 2018; 211:1254–1258
  • “Whole-lesion enhancement histogram analysis is feasible and can potentially be used to differentiate ccRCC from pRCC with high accuracy.”
    Histogram Analysis of Whole Lesion Enhancement in Differentiating Clear Cell from Papillary Subtype of Renal Cell Cancer
    Chandarana H et al.
    Radiology 2012; 265:790-798
  • “Ability to noninvasively discriminate clear cell from papillary renal cell cancer with analysis of whole lesion enhancement histogram parameters can potentially affect patient management, as these two subtypes have different prognoses and respond differently to available chemotherapy in advanced disease.”
    Histogram Analysis of Whole Lesion Enhancement in Differentiating Clear Cell from Papillary Subtype of Renal Cell Cancer
    Chandarana H et al.
    Radiology 2012; 265:790-798
  • “ Whole lesion enhancement histogram distribution parameters kurtosis and skewness can be used to discriminate clear cell from papillary renal cell cancer with high accuracy (AUC,0.954 and 0.938 respectively) without reliance on the absolute measure of signal intensity change.”
    Histogram Analysis of Whole Lesion Enhancement in Differentiating Clear Cell from Papillary Subtype of Renal Cell Cancer
    Chandarana H et al.
    Radiology 2012; 265:790-798
  • “ Analysis of voxel-based whole lesion enhancement histogram parameters can be used to discriminate between clear call and papillary subtypes of renal cell cancers; the whole lesion parameter of third quartile enhancement had the highest accuracy (area under curve 0.98), with sensitivity of 96% and specificity of 90%).”
    Histogram Analysis of Whole Lesion Enhancement in Differentiating Clear Cell from Papillary Subtype of Renal Cell Cancer
    Chandarana H et al.
    Radiology 2012; 265:790-798

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