Related Experiment Video
Updated: Jul 14, 2026

09:31
In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
A preoperative prognostic nomogram for solid enhancing renal tumors 7 cm or less amenable to partial nephrectomy
Brian R Lane1, Denise Babineau, Michael W Kattan
1Glickman Urological Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA.
The Journal of Urology
|June 15, 2007
Summary
New nomograms predict small renal mass pathology using preoperative factors. While most small masses are benign or indolent, predicting aggressive cancer remains challenging.
Area of Science:
- Urology
- Oncology
- Pathology
Background:
- Small renal masses (SRMs) are increasingly diagnosed.
- Traditional treatment involves nephrectomy, but ablative therapies and observation are growing options.
- Accurate preoperative risk stratification is crucial for guiding management decisions.
Purpose of the Study:
- To develop and validate nomograms predicting benign, indolent, or aggressive pathological findings in SRMs.
- To identify preoperative clinical factors associated with different tumor pathologies.
- To aid in selecting appropriate management strategies for SRMs.
Main Methods:
- Retrospective analysis of 862 patients undergoing partial nephrectomy for SRMs (≤7 cm).
- Tumors classified as benign, likely indolent, or potentially aggressive (based on specific criteria).
- Multivariable logistic regression used age, gender, tumor size, symptoms, and smoking history to build predictive models.
Main Results:
- 20% of SRMs were benign, 80% malignant; only 24% of all SRMs were potentially aggressive.
- Age, gender, tumor size, and smoking history predicted benign pathology (concordance index 0.644).
- Predicting indolent vs. aggressive cancer was limited, with only advanced age being significant (concordance index 0.557).
Conclusions:
- Clinical factors offer significant predictive power for distinguishing benign from malignant SRMs.
- While most SRMs are not aggressive, accurately predicting aggressive cancer in this cohort remains a challenge.
- Nomograms can assist in preoperative risk stratification for SRMs.
