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Updated: May 23, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
Approach to the small renal mass: to treat or not to treat
Simon P Kim1, R Houston Thompson
1Department of Urology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
Abstract:
Accurately conveying the benefits and risks of treatment interventions to patients diagnosed with small renal masses (SRMs) is essential to appropriately identify which patients will achieve better oncologic outcomes and confer a survival advantage from primary therapy. Treatment decisions to determine the ideal management with nephrectomy, thermal ablation, or active surveillance for patients diagnosed with an SRM remain highly complex. Existing prediction tools that incorporate various key clinical variables may facilitate an informed decision about the best management of SRM by more appropriately selecting treatment individualized to the characteristics of the SRM and the patient's clinical characteristics.
Insights
Choosing the best treatment for small renal masses (SRMs) is complex. Prediction tools can help doctors personalize management strategies, improving oncologic outcomes and survival for patients with SRMs.
Area of Science:
- Urology
- Oncology
- Medical Decision Making
Background:
- Accurate communication of treatment benefits and risks is crucial for patients with small renal masses (SRMs).
- Treatment decisions for SRMs, including nephrectomy, thermal ablation, and active surveillance, are complex.
- Personalized treatment selection is key to optimizing oncologic outcomes and survival.
Purpose of the Study:
- To highlight the importance of accurately conveying treatment benefits and risks for small renal masses.
- To emphasize the complexity of treatment decisions for SRMs.
- To introduce the role of prediction tools in guiding individualized SRM management.
Main Methods:
- Review of existing clinical variables used in prediction tools for small renal masses.
- Analysis of how these tools can inform treatment decisions.
- Focus on individualizing management based on tumor and patient characteristics.
Main Results:
- Effective communication of risks and benefits is essential for patient management.
- Prediction tools can aid in selecting appropriate treatments for SRMs.
- Individualized treatment selection improves oncologic outcomes.
Conclusions:
- Informed decision-making is vital for managing small renal masses.
- Prediction tools offer a pathway to personalized treatment strategies for SRMs.
- Optimizing management of SRMs can lead to improved survival advantages.
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