TY - JOUR
T1 - Simplified PADUA REnal (SPARE) Nephrometry System can Describe the Surgical Difficulty of Renal Masses With High Accuracy Even Without 3D Renal Models
AU - Watanabe, Tomofumi
AU - Sadahira, Takuya
AU - Sekito, Takanori
AU - Maruyama, Yuki
AU - Edamura, Kohei
AU - Kobayashi, Yasuyuki
AU - Araki, Motoo
N1 - Funding Information:
We wish to thank the clinical laboratory technicians of Okayama University Hospital for their technical support.
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022
Y1 - 2022
N2 - Objective: To evaluate whether a 2-dimensional(2D) model describes the surgical difficulty of a renal mass accurately comparable to that obtained using a 3D model with the Simplified PADUA REnal nephrometry system (SPARE). Methods: A total of 100 patients underwent RAPN in our hospital between October 2018 and May 2021. We excluded patients with CT images inappropriate for evaluation or for construction of 3D models, patients with multiple tumors, and those who underwent preoperative transcatheter arterial embolization. We conducted a retrospective analysis of the remaining patients using SPARE predictions from CT images (2D-SPARE) and SPARE predictions from 3D models (3D-SPARE). We evaluated the difference between the 2 nephrometry scores and compared them by their ability to predict the achievement of the desired surgical outcome: absence of positive margins, absence of ischemia, and absence of significant complications. Results: A total of 87 patients were included in this study. Total score, and risk categorization using 3D-SPARE was significantly different from those using 2D-SPARE (P <.05), but in their areas under the curve (AUC), the scores and categorizations were not significantly different (score, 0.763 vs 0.742; P =.501; categorization, 0.711 vs 0.701; P =.755). Conclusion: The SPARE system can describe the surgical difficulty of renal masses with high accuracy even without the use of 3D renal models.
AB - Objective: To evaluate whether a 2-dimensional(2D) model describes the surgical difficulty of a renal mass accurately comparable to that obtained using a 3D model with the Simplified PADUA REnal nephrometry system (SPARE). Methods: A total of 100 patients underwent RAPN in our hospital between October 2018 and May 2021. We excluded patients with CT images inappropriate for evaluation or for construction of 3D models, patients with multiple tumors, and those who underwent preoperative transcatheter arterial embolization. We conducted a retrospective analysis of the remaining patients using SPARE predictions from CT images (2D-SPARE) and SPARE predictions from 3D models (3D-SPARE). We evaluated the difference between the 2 nephrometry scores and compared them by their ability to predict the achievement of the desired surgical outcome: absence of positive margins, absence of ischemia, and absence of significant complications. Results: A total of 87 patients were included in this study. Total score, and risk categorization using 3D-SPARE was significantly different from those using 2D-SPARE (P <.05), but in their areas under the curve (AUC), the scores and categorizations were not significantly different (score, 0.763 vs 0.742; P =.501; categorization, 0.711 vs 0.701; P =.755). Conclusion: The SPARE system can describe the surgical difficulty of renal masses with high accuracy even without the use of 3D renal models.
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U2 - 10.1016/j.urology.2022.09.015
DO - 10.1016/j.urology.2022.09.015
M3 - Article
C2 - 36206826
AN - SCOPUS:85140597064
SN - 0090-4295
JO - Urology
JF - Urology
ER -