Impact of noise-optimized virtual monoenergetic dual-energy computed tomography on image quality in patients with renal cell carcinoma

2017 ◽  
Vol 97 ◽  
pp. 1-7 ◽  
Author(s):  
Simon S. Martin ◽  
Julian L. Wichmann ◽  
Sophia Pfeifer ◽  
Doris Leithner ◽  
Lukas Lenga ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Image Quality ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Dual Energy ◽  
Dual Energy Computed Tomography

scholarly journals Detection of a peritumoral pseudocapsule in patients with renal cell carcinoma undergoing robot-assisted partial nephrectomy using enhanced MDCT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Makoto Toguchi ◽  
Toshio Takagi ◽  
Yuko Ogawa ◽  
Satoru Morita ◽  
Kazuhiko Yoshida ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Partial Nephrectomy ◽  
Renal Cell ◽  
Clear Cell ◽  
Robot Assisted ◽  
High Attenuation ◽  
Papillary Rcc ◽  
Clear Cell Rcc

AbstractTo investigate the detection of peritumoral pseudocapsule (PC) using multi-detector row computed tomography (MDCT) for tumors resected by robot-assisted laparoscopic partial nephrectomy (RAPN) for T1 renal cell carcinoma (RCC). Study participants included 206 patients with clinical T1 RCC who underwent RAPN between October 2017 and February 2018. Two radiologists who were blinded to the pathological findings evaluated the computed tomography (CT) images. Radiological diagnosis of a PC was defined by a combination of observations, including a low-attenuation rim between the tumor and renal cortex in the cortico-medullary phase and a high-attenuation rim at the edge of the tumor in the nephrogenic or excretory phase. A PC was detected on CT in 156/206 tumors (76%) and identified by pathology in 182/206 (88%) tumors including 153/166 (92%) clear cell RCC, 13/14 (93%) papillary RCC, and 7/16 (44%) chromophobe RCC. In the whole cohort, CT findings showed a sensitivity of 81.3% (148/182), specificity of 66.7% (16/24), and positive predictive value of 94.9% (148/156). When the data were stratified according to pathological subtypes, MDCT was observed to have a sensitivity of 86.9% (133/153) and specificity of 61.5% (8/13) in clear cell RCC, sensitivity of 38.5% (5/13) and specificity of 100% (1/1) in papillary RCC, and sensitivity of 44.4% (4/7) and specificity of 66.7% (6/9) in chromophobe RCC. A low or high-attenuation rim around the tumor in the cortico-medullary or nephrographic-to-excretory phase indicates a PC of RCC, though the accuracy is not satisfactory even with 64- or 320-detector MDCT.

Morphologic analysis with computed tomography may help differentiate fat-poor angiomyolipoma from renal cell carcinoma: a retrospective study with 602 patients

2017 ◽  
Vol 43 (3) ◽  
pp. 647-654 ◽  
Author(s):  
Yong Hee Kim ◽  
Kyunghwa Han ◽  
Young Taik Oh ◽  
Dae Chul Jung ◽  
Nam Hoon Cho ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Retrospective Study ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Morphologic Analysis
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