Publications by authors named "Bheesham D Dayal"
Article Synopsis
- The study investigates how partial nephrectomy affects kidney volume and function by examining data from 119 patients and analyzing volumetric changes post-surgery.
- Results show that longer warm ischemia time (WIT) is linked to greater volume loss in the operated kidney, with more complex tumors resulting in even higher volume loss.
- The findings suggest that kidney volume loss post-nephrectomy significantly impacts kidney function, and more extensive research is needed to further explore these relationships.
Background: The role of race on functional outcomes after robotic partial nephrectomy (RPN) is still a matter of debate. We aimed to evaluate the clinical and pathologic characteristics of African American (AA) and Caucasian patients who underwent RPN and analyzed the association between race and functional outcomes.
Methods: Data was obtained from a multi-institutional database of patients who underwent RPN in 6 institutions in the USA.
Objective: To analyse whether selective arterial clamping (SAC) and off-clamp (OC) techniques during robot-assisted partial nephrectomy (RPN) are associated with a renal functional benefit in patients with Stage 3-5 chronic kidney disease (CKD).
Patients And Methods: The change in estimated glomerular filtration rate (eGFR) over time was compared between 462 patients with baseline CKD 3-5 that underwent RPN with main arterial clamping (MAC) (n = 375, 81.2%), SAC (n = 48, 10.
Introduction: We sought to analyze the safety, efficacy, and national trends in the use of robotic radical nephrectomy (RN) and inferior vena cava thrombectomy in patients with renal cell carcinoma.
Patients And Methods: We analyzed 872 patients from the National Cancer Database dataset who underwent open (n = 838, 96.1%) or robotic (n = 34, 3.
Objective: To determine the safety and efficacy of performing partial nephrectomy (PN) on patients with high nephrometry score tumors.
Patients And Methods: We used a prospectively maintained multi-institutional kidney cancer database to identify 144 patients with R.E.