Clinical features and surgical management of four peculiar cases of intracranial metastases from renal cell carcinoma

2012 ◽  
Vol 34 (2) ◽  
pp. 149-156 ◽  
Author(s):  
Fuyou Guo ◽  
Junkuan Wang ◽  
Laijun Song ◽  
Hongwei Sun ◽  
Bo Yang ◽  
...  
Author(s):  
Zahra Khodabakhshi ◽  
Mehdi Amini ◽  
Shayan Mostafaei ◽  
Atlas Haddadi Avval ◽  
Mostafa Nazari ◽  
...  

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.


Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 261 ◽  
Author(s):  
Patrick T. Gomella ◽  
W. Linehan ◽  
Mark W. Ball

Renal cell carcinoma is a term that represents multiple different disease processes, each driven by different genetic alterations, with distinct histology, and biological potential which necessitates divergent management strategies. This review discusses the genetic alterations seen in several forms of hereditary kidney cancer and how that knowledge can dictate when and how to intervene with a focus on the surgical management of these tumors.


2018 ◽  
Vol 50 (3) ◽  
pp. 469-473
Author(s):  
C. Chahwan ◽  
P. A. Turcanu ◽  
F. Alharbi ◽  
L. Vaudreuil ◽  
A. L. Fiant ◽  
...  

2018 ◽  
Vol 38 ◽  
pp. 12-15
Author(s):  
Ramón Garcia–Alva ◽  
Javier E. Anaya-Ayala ◽  
Gabriel Lopez-Pena ◽  
Lizeth Luna ◽  
Cesar Cuen-Ojeda ◽  
...  

2014 ◽  
Vol 31 (01) ◽  
pp. 027-032 ◽  
Author(s):  
Laura-Maria Krabbe ◽  
Aditya Bagrodia ◽  
Vitaly Margulis ◽  
Christopher Wood

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