Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion.

Purpose: To compare various CT perfusion features of fat poor angiomyolipoma (AML) with those of size-matched renal cell carcinoma (RCC).Methods: One hundred and seventy-four patients [16 with fat poor AML (mean diameter, 3.1 cm; range, 1.5-5.5 cm) and 158 with RCC (mean diameter, 3.2 cm; range, 2.4...

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Publicado en:Abdominal Radiology Vol. 43; no. 5; pp. 1223 - 1231
Autores principales: Chen, Chao, Kang, Qinqin, Xu, Bing, Shi, Zhang, Guo, Hairuo, Wei, Qiang, Lu, Yayun, Wu, Xinhuai
Formato: Journal Article
Publicado: Springer Nature May2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2018
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      pub: Springer Nature
      place: New York, New York
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        129132782
        10.1007/s00261-017-1286-1
        129132782
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        atl: Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion.
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        au:
          Chen, Chao
          Kang, Qinqin
          Xu, Bing
          Shi, Zhang
          Guo, Hairuo
          Wei, Qiang
          Lu, Yayun
          Wu, Xinhuai
        affil: Department of Radiology, PLA Army General Hospital, No. 5 Nanmencang Hutong, Dongcheng District, 100700, Beijing, China
      sug:
      ab: Purpose: To compare various CT perfusion features of fat poor angiomyolipoma (AML) with those of size-matched renal cell carcinoma (RCC).Methods: One hundred and seventy-four patients [16 with fat poor AML (mean diameter, 3.1 cm; range, 1.5-5.5 cm) and 158 with RCC (mean diameter, 3.2 cm; range, 2.4-5.4 cm)] who had undergone 320-slice dynamic volume CT perfusion were evaluated. Equivalent blood volume (<italic>BV</italic>Equiv), permeability surface-area product (PS), and blood flow (BF) of tumor were measured and analyzed. Fat poor AML was compared with each subtype of RCC (132 clear cell, 9 papillary, and 17 chromophobe). Receiver operating characteristic (ROC) curve analysis was performed for the comparison of fat poor AML and RCC. ROC curve analysis was not performed for the papillary RCC subtype because of the small number of masses of this subtype.Results: <italic>BV</italic>Equiv and BF were significantly lower in fat poor AML than in clear cell RCC (<italic>P</italic> < 0.05 for both). Fat poor AML had higher <italic>BV</italic>Equiv, PS, and BF than papillary RCC (<italic>P</italic> < 0.05 for all). PS and BF in fat poor AML significantly exceeded those in chromophobe RCC (<italic>P</italic> < 0.05 for both). For differentiating fat poor AML from clear cell RCC, area under the ROC curve (AUC) of <italic>BV</italic>Equiv and BF were 0.82 and 0.69. Using the optimal threshold value, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 0.82, 0.81, 0.35, 0.97 for <italic>BV</italic>Equiv and 0.71, 0.75, 0.24, 0.96 for BF, respectively. For differentiating fat poor AML from chromophobe RCC, AUC of PS and BF were 0.77 and 0.79, respectively. The optimal sensitivity, specificity, PPV, and NPV were 0.77, 0.75, 0.75, 0.76 for PS and 0.71, 0.81, 0.72, 0.80 for BF, respectively.Conclusions: Fat poor AML and subtypes of RCCs demonstrate different perfusion features at 320-slice dynamic volume CT, allowing their differentiations with <italic>BV</italic>Equiv, PS, and BF being valuable perfusion parameters.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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