Validation of MAP (Mayo Adhesive Probability) score and preoperative factors to predict adherent perinephric fat in robotic-assisted partial nephrectomy

Validation of MAP (Mayo Adhesive Probability) score and preoperative factors to predict adherent perinephric fat in robotic-assisted partial nephrectomy

Abstract Background Mayo Adhesive Probability (MAP) score is based on posterior perinephric fat thickness and perinephric fat stranding and ranges from 0 to 5. We intend to validate the score and identify preoperative factors predictive of Adherent Perinphric Fat (APF) encountered in robotic-assiste...

Full description

Bibliographic Details
Main Authors: Rajan Prajapati, Niramya Pathak, Arvind Ganpule, Zeeshan Kareem, Abhishek Singh, Ravindra Sabnis, Mahesh Desai
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:African Journal of Urology
Subjects:
MAP score
Adhesive perinephric fat
Perinephric fat stranding
Robotic-assisted partial nephrectomy
Online Access:https://doi.org/10.1186/s12301-023-00362-6

Internet

https://doi.org/10.1186/s12301-023-00362-6

Similar Items