An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine learning methodologies such as deep neural networks provide a potentia...
International journal of urology : official journal of the Japanese Urological Association
Aug 8, 2022
OBJECTIVES: To compare surgical and functional outcomes between robot-assisted laparoscopic partial nephrectomy and open partial nephrectomy in patients with renal cell carcinoma with stage 4 chronic kidney disease.
Clinical journal of the American Society of Nephrology : CJASN
Jul 26, 2022
BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic scor...
International journal of clinical oncology
Jul 25, 2022
BACKGROUND: Cancer development in adolescents and young adults (AYAs) has elicited recent interest. We investigated the surgical and functional outcomes of robot-assisted laparoscopic partial nephrectomy (RAPN) for renal cell carcinoma (RCC) in AYAs.
International journal of urology : official journal of the Japanese Urological Association
Jun 28, 2022
OBJECTIVE: To determine whether robot-assisted laparoscopic partial nephrectomy (RALPN) can benefit patients in terms of functional recovery in the treatment of renal hilar tumors compared to conventional laparoscopic partial nephrectomy (CLPN).
International journal of urology : official journal of the Japanese Urological Association
Jun 15, 2022
OBJECTIVES: Robot-assisted partial nephrectomy is widely performed for small renal masses, achieving excellent perioperative and intermediate oncological outcomes. However, long-term oncological, functional, and quality of life outcomes after robot-a...
Assessment of daily creatinine production and excretion plays a crucial role in the estimation of renal function. Creatinine excretion is estimated by creatinine excretion equations and implicitly in eGFR equations like MDRD and CKD-EPI. These equati...
The study's aim was to externally validate a new predictive model for the new baseline glomerular filtration rate (NB-GFR) postnephrectomy among Japanese patients. Patients with renal tumors who underwent radical nephrectomy (RN) or robot-assisted ...
Background and objectives: This study aimed to evaluate the association between warm ischemic time (WIT) and postoperative renal function using Trifecta achievement in patients with renal cell carcinoma (RCC) who underwent robotic (RAPN) or laparosco...
Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at best, and reproducibility is challenging. To discov...
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