Publications by authors named "R Bertini"

Article Synopsis
  • - This study examines how warm ischemia time (WIT) influences the relationship between pre-existing health conditions and kidney function after partial nephrectomy in patients with renal cell carcinoma.
  • - Researchers analyzed data from 802 patients who underwent surgery, finding that those with higher comorbidity risks were more likely to face acute kidney injury (AKI) and long-term chronic kidney disease (CKD) after surgery.
  • - The results showed that while WIT had a minimal effect on AKI risk for low-risk patients, it significantly impacted high-risk patients, indicating the need for careful preoperative discussions for patients with multiple health issues.
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Objective: Renal Tumor biopsy (RTB) can assist clinicians in determining the most suitable approach for treatment of renal cancer. However, RTB's limitations in accurately determining histology and grading have hindered its broader adoption and data on the concordance rate between RTB results and final pathology after surgery are unavailable. Therefore, we aimed to develop a machine learning algorithm to optimize RTB technique and to investigate the degree of concordance between RTB and surgical pathology reports.

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Background And Objective: Metabolic syndrome (MetS) is a clinical condition associated with higher rates of overall and cardiovascular mortality. There is scarce evidence regarding the impact of MetS on surgical and functional outcomes for patients undergoing partial nephrectomy (PN) for clinically localized small renal masses (SRMs).

Methods: We analyzed data from a prospectively maintained institutional database for 690 patients with cT1a renal cancer undergoing PN between 2000 and 2023 at a tertiary referral center.

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Background: Up to 15% of patients with locally advanced renal cell carcinoma (RCC) harbors tumor thrombus (TT). In those cases, radical nephrectomy (RN) and thrombectomy represents the standard of care. We assessed the impact of TT on long-term functional and oncological outcomes in a large contemporary cohort.

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Purpose: In absence of predictive models, preoperative estimation of the probability of completing partial (PN) relative to radical nephrectomy (RN) is invariably inaccurate and subjective. We aimed to develop an evidence-based model to assess objectively the probability of PN completion based on patients' characteristics, tumor's complexity, urologist expertise and surgical approach.

Design, Setting And Participants: 675 patients treated with PN or RN for cT cN cM renal mass by seven surgeons at one single experienced centre from 2000 to 2019.

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