A. Cozzoli

About

A. Cozzoli is a surgical researcher whose work centers on advancing preoperative planning for partial nephrectomy (PN), with a focus on renal cancer surgery. Their key contributions lie in the integration of cutting-edge imaging technologies and complexity scoring systems to improve surgical outcomes. Cozzoli’s most cited study, a 2018 head-to-head comparison of holographic reconstructions (HR) versus standard CT scans, demonstrated that HR offers superior perception of renal anatomy for preoperative planning, a finding that has garnered 42 citations and highlights the potential of augmented reality in surgery. Additionally, Cozzoli led the first external validation of the Arterial-Based Complexity Score, comparing it with established tools like R.E.N.A.L., PADUA, and C-index in a 2017 study (11 citations). This work provides critical evidence for standardizing tumor complexity assessment, aiding surgeons in predicting operative challenges. By bridging novel visualization methods with robust validation of scoring systems, Cozzoli’s research directly enhances surgical precision and patient safety in nephron-sparing surgery, making their work essential reading for urologists and surgical oncologists.

Research Focus

Key Achievements

Top Papers

1. 1
   Holographic Reconstructions for Preoperative Planning before Partial Nephrectomy: A Head-to-Head Comparison with Standard CT Scan

   42 citations · 2018
2. 2
   External Validation of the Arterial-Based Complexity Score and First Head-to-Head Comparison With the R.E.N.A.L. and PADUA Scores and C-index

   11 citations · 2017

Key Collaborators

Contact & Links