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Updated: Sep 19, 2025

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

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Published on: August 12, 2021

DCOM: a 3D virtual imaging-based nephrometry scoring system for robot-assisted partial nephrectomy.

Zhengsheng Liu^1,2, Tao Wang², Zongkai Zhang³

¹The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.

Minerva Urology and Nephrology

|June 18, 2025

Summary

A new 3D imaging-based DCOM score for robot-assisted partial nephrectomy (RAPN) predicts surgical difficulty better than RENAL and PADUA scores. This system aids in planning surgical strategies for improved outcomes.

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Area of Science:

Urology
Surgical Oncology
Medical Imaging

Background:

Robot-assisted partial nephrectomy (RAPN) is a complex procedure.
Accurate surgical difficulty assessment is crucial for patient outcomes.
Existing scoring systems may not fully capture surgical complexity.

Purpose of the Study:

To establish a novel surgical difficulty scoring system for RAPN.
To utilize three-dimensional (3D) virtual imaging for surgical planning.
To compare the new system's predictive value against established scores.

Main Methods:

Data from 296 robot-assisted partial nephrectomy (RAPN) and radical nephrectomy (RARN) patients were analyzed.
Preoperative CT/MRI data were used for 3D reconstruction.
The DCOM score (Diameter, vascular compression, renal sinus occupation, exophytic rate) was developed and validated.

Main Results:

The DCOM score demonstrated superior predictive value for surgical outcomes.
DCOM significantly outperformed the RENAL and PADUA scores.
The DCOM score aids in surgical decision-making and strategy planning.

Conclusions:

A 3D virtual imaging-based nephrometry system (DCOM score) can predict partial nephrectomy difficulty.
This system provides a basis for preoperative surgical strategy formulation.
Further verification of the DCOM scoring system is warranted.