scholarly journals BILATERAL MULTIFOCAL RENAL CELL CARCINOMA

2008 ◽  
Vol 15 (03) ◽  
pp. 400-402
Author(s):  
SALMAN `RASHID ◽  
MUHAMMAD ARSHAD ◽  
MAZHAR SHAFIQ ◽  
M. Rafiq Zafar

Bilateral synchronous renal cell Carcinomas occur in approximately 1-3% of all patients with RCC.Ultrasound and contrast-enhanced CT scan are the most useful tests for diagnosing and staging. US has an advantageover CT in determination of nature of the lesion (solid/cystic). CT is more sensitive in evaluation of lesion size anddetection of calcification and necrosis. CT also has an advantage over US in evaluation of perinephric extension,adjacent organ infiltration and regional lymphadenopathy. Both US and CT are equally sensitive in detection of IVCthrombus.

2019 ◽  
Vol 18 ◽  
pp. 153601211988316 ◽  
Author(s):  
Guangjie Yang ◽  
Aidi Gong ◽  
Pei Nie ◽  
Lei Yan ◽  
Wenjie Miao ◽  
...  

Objective: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). Methods: We retrospectively enrolled 32 fpAMLs and 24 chRCCs. Texture features were extracted from 2D and 3D regions of interest in triphasic CT images. The 2D and 3D CTTA models were constructed with the least absolute shrinkage and selection operator algorithm and texture scores were calculated. The diagnostic performance of the 2D and 3D CTTA models was evaluated with respect to calibration, discrimination, and clinical usefulness. Results: Of the 177 and 183 texture features extracted from 2D and 3D regions of interest, respectively, 5 2D features and 8 3D features were selected to build 2D and 3D CTTA models. The 2D CTTA model (area under the curve [AUC], 0.811; 95% confidence interval [CI], 0.695-0.927) and the 3D CTTA model (AUC, 0.915; 95% CI, 0.838-0.993) showed good discrimination and calibration ( P > .05). There was no significant difference in AUC between the 2 models ( P = .093). Decision curve analysis showed the 3D model outperformed the 2D model in terms of clinical usefulness. Conclusions: The CTTA models based on contrast-enhanced CT images had a high value in differentiating fpAML from chRCC.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jian He ◽  
Kefeng Zhou ◽  
Bin Zhu ◽  
Gutian Zhang ◽  
Xiaogong Li ◽  
...  

Purpose. To compare the differences of CT characteristics between renal cell carcinomas (RCCs) associated with Xp11.2 translocation/TFE3 gene fusions (Xp11.2 RCCs) and papillary cell renal cell carcinomas (PRCCs). Methods. CT images and clinical records of 64 patients (25 Xp11.2 RCCs, 15 type 1 and 24 type 2 PRCCs) were analyzed and compared retrospectively. Results. Xp11.2 RCC more frequently affected young (30.7±8.7 years) women (16/25, 64%) with gross hematuria (12/25, 48%), while PRCC more frequently involved middle-aged (54.8±11.1 years) men (28/39, 71.8%) asymptomatically. Xp11.2 RCC tended to be heterogeneous density with some showing circular calcification. Lesion sizes of Xp11.2 RCC (5.4±2.2 cm) and type 2 PRCC (5.7±2.5 cm) were significantly larger than that of type 1 PRCC (3.8±1.8 cm). Xp11.2 RCC contained more cystic components (22/25, 88%) than type 1 PRCC (all solid) and type 2 PRCC (9/24, 36.0%). Type 1 PRCC (13/15, 86.7%) and Xp11.2 RCC (21/25, 84.0%) showed more clear boundary than type 2 PRCC (12/24, 50.0%). Conclusion. CT features including diameter, boundary, attenuation, nature, and circular calcification of the tumor, combined with demographic information and symptoms, may be useful to differentiate Xp11.2 RCC from different subtypes of PRCC.


2017 ◽  
Vol 10 (4) ◽  
pp. 679-685 ◽  
Author(s):  
Simon Matoori ◽  
Yeeliang Thian ◽  
Dow-Mu Koh ◽  
Aslam Sohaib ◽  
James Larkin ◽  
...  

2015 ◽  
Vol 205 (6) ◽  
pp. 1194-1202 ◽  
Author(s):  
Naoki Takahashi ◽  
Shuai Leng ◽  
Kazuhiro Kitajima ◽  
Daniel Gomez-Cardona ◽  
Prabin Thapa ◽  
...  

2010 ◽  
Vol 35 (12) ◽  
pp. 918-923 ◽  
Author(s):  
Ryogo Minamimoto ◽  
Noboru Nakaigawa ◽  
Ukihide Tateishi ◽  
Akiko Suzuki ◽  
Kazuya Shizukuishi ◽  
...  

Radiology ◽  
2003 ◽  
Vol 228 (2) ◽  
pp. 330-334 ◽  
Author(s):  
Michael Suh ◽  
Fergus V. Coakley ◽  
Aliya Qayyum ◽  
Benjamin M. Yeh ◽  
Richard S. Breiman ◽  
...  

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