Survival after partial and radical nephrectomy for the treatment of stage T1bN0M0 renal cell carcinoma (RCC) in the USA: a propensity scoring approach

2011 ◽  
Vol 109 (10) ◽  
pp. 1457-1462 ◽  
Author(s):  
Gina M. Badalato ◽  
Max Kates ◽  
Juan P. Wisnivesky ◽  
Arindam Roy Choudhury ◽  
James M. McKiernan
2021 ◽  
Vol 8 (10) ◽  
pp. 3176
Author(s):  
Sameer Trivedi ◽  
K. Shridhar Reddy ◽  
Mahima Yadav ◽  
Lalit Kumar Agrawal ◽  
Ujwal Kumar ◽  
...  

Nephroblastoma (Wilms’ tumour) in adult population is extremely rarefied scenario and has a poorer prognosis than paediatric Wilms’ tumour with an incidence of about 0.2 per million per year in the USA and Europe. Clinical presentation is also distinct between children and adults. In adults, manifestation is usually hematuria and abdominal pain while paediatric cases frequently present with an asymptomatic abdominal lump. It is arduous to demarcate adult Wilms’ tumour from renal cell carcinoma based on radiology alone. The final diagnosis in adult cases is often fortuitous following radical nephrectomy for presumed adult Renal cell carcinoma (RCC). Due to the lack of published discussion, there are no standard protocols for the management of adult Wilms tumour (WT) hence it is managed as per paediatric WT. In view of this, we report a case of adult WT in a 32-years-old female, who was diagnosed propitiously following right radical nephrectomy for an assumed right renal mass.  


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.


2020 ◽  
Vol 104 (9-10) ◽  
pp. 775-780 ◽  
Author(s):  
Julia Mühlbauer ◽  
Johannes de Gilde ◽  
Michael Mueller-Steinhardt ◽  
Stefan Porubsky ◽  
Margarete Walach ◽  
...  

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