Improving accuracy, reliability, and efficiency of the RENAL nephrometry score with 3D reconstructed virtual imaging

Construction and application of a three-dimensional vascular variation-based nephrometry scoring system for completely endophytic renal tumors

Background

Completely endophytic renal tumors (CERT) pose significant challenges due to their anatomical complexity and loss of visual clues about tumor location. A facile scoring model based on three-dimensional (3D) reconstructed images will assist in better assessing tumor location and vascular variations.

Methods

In this retrospective study, 80 patients diagnosed with CERT were included. Forty cases underwent preoperative assessment using 3D reconstructed imaging (3D-Cohort), while the remaining 40 cases were assessed using two-dimensional imaging (2D-Cohort). Vascular variations were evaluated by ascertaining the presence of renal arteries > 1, prehilar branching arteries, and arteries anterior to veins. The proposed scoring system, termed RAL, encompassed three critical components: (R)adius (maximal tumor diameter in cm), (A)rtery (occurrence of arterial variations), and (L)ocation relative to the polar line. Comparison of the RAL scoring system was made with established nephrometry scoring systems.

Results

A total of 48 (60%) patients exhibited at least one vascular variation. In the 2D-Cohort, patients with vascular variations experienced significantly prolonged operation time, increased bleeding volume, and extended warm ischemia time compared with those without vascular variations. Conversely, the presence of vascular variations did not significantly affect operative parameters in the 3D-Cohort. Furthermore, the 2D-Cohort demonstrated a notable decline in both short- and long-term estimated glomerular filtration rate (eGFR) changes compared with the 3D-Cohort, a trend consistent across patients with warm ischemia time ≥ 25 min and those with vascular variations. Notably, the 2D-Cohort exhibited a larger margin of normal renal tissue compared with the 3D-Cohort. Elevated RAL scores correlated with larger tumor size, prolonged operation time, extended warm ischemia time, and substantial postoperative eGFR decrease. The RAL scoring system displayed superior predictive capabilities in assessing postoperative eGFR changes compared with conventional nephrometry scoring systems.

Conclusions

Our proposed 3D vascular variation-based nephrometry scoring system offers heightened proficiency in preoperative assessment, precise prediction of surgical complexity, and more accurate evaluation of postoperative renal function in CERT patients.

From Diagnosis to Precision Surgery: The Transformative Role of Artificial Intelligence in Urologic Imaging

The multidisciplinary nature of artificial intelligence (AI) has allowed for rapid growth of its application in medical imaging. Artificial intelligence algorithms can augment various imaging modalities, such as X-rays, CT, and MRI, to improve image quality and generate high-resolution three-dimensional images. AI reconstruction of three-dimensional models of patient anatomy from CT or MRI scans can better enable urologists to visualize structures and accurately plan surgical approaches. AI can also be optimized to create virtual reality simulations of surgical procedures based on patient-specific data, giving urologists more hands-on experience and preparation. Recent development of artificial intelligence modalities, such as TeraRecon and Ceevra, offer rapid and efficient medical imaging analyses aimed at enhancing the provision of urologic care, notably for intraoperative guidance during robot-assisted radical prostatectomy (RARP) and partial nephrectomy.

Current Application of Navigation Systems in Robotic-Assisted and Laparoscopic Partial Nephrectomy: Focus on the Improvement of Surgical Performance and Outcomes

Kidney cancer represents the third most prevalent malignancy among all types of genitourinary cancer worldwide. Currently, there is a growing trend of employing partial nephrectomy for the management of large and complex tumors. Surgical outcomes are associated with some amendable surgical factors, including warm ischemic time, pedicle clamping, preserved volume of renal parenchyma, appropriate surgical strategy, and precise resection of the tumor. Improving surgical performance is pivotal for achieving favorable surgical outcomes. Due to advancements in imaging visualization technology and the shift of the medical paradigm toward precision medicine, an increasing number of navigation systems have been implemented in partial nephrectomy procedures. The navigation system can assist surgeons in formulating optimal surgical strategies and enhance the safety, precision, and feasibility of resecting complex renal tumors. In this review, we provide an overview of currently available navigation systems and their feasible applications, with a focus on how they contribute to the improvement of surgical performance and outcomes during robotic-assisted and laparoscopic partial nephrectomy.