BACKGROUND

The incidence of renal cell carcinoma (RCC) is increasing, largely due to the widespread use of cross-sectional imaging. Most renal tumors are detected incidentally as small, asymptomatic masses. To study their natural history, the authors prospectively followed a series of patients with this type of lesion who were unsuited for or refused surgery.



METHODS

Twenty-nine patients with 32 masses that measured < 4 cm in greatest dimension (25 solid masses and 7 complex cystic masses) were studied. The primary outcome was tumor size, which was calculated as volume over time. All patients were followed with serial abdominal imaging, and each mass had at least three follow-up measurements. The median follow-up was 27.9 months (range, 5.3–143.0 months).



RESULTS

Overall, the average growth rate did not differ statistically from zero growth (P = 0.09; 95% confidence interval, − 0.005–0.2 cm per year) and was not associated with either initial size (P = 0.28) or mass type (P = 0.41). Seven masses (22%) reached 4 cm in greatest dimension after 12–85 months of follow-up. Eight masses (25%) doubled their volumes within 12 months. Overall, 11 masses (34%) fulfilled 1 of these 2 criteria of rapid growth. Nine tumors were removed surgically after an average of 3.1 years of follow-up because it was believed that they were growing fast. No patient had disease progression.



CONCLUSIONS

Approximately one-third of small renal masses that are presumed RCCs grow if they are managed conservatively and are followed with serial imaging. The growth rate is slow or undetectable in the majority of patients. These observations raise the possibility of a period of initial observation in selected patients, particularly the elderly or infirm. Cancer 2004;100:738–45. © 2004 American Cancer Society.

The natural history of incidentally detected small renal masses.

Target definition in prostate, head, and neck.

The natural history of small renal masses

The most commonly used imaging modality in patients with cancer is computed tomography (CT). Whether to evaluate primary tumor or metastases to the neck, chest, abdomen, or pelvis, oncologic body CT has become invaluable to medical, gynecologic, and radiation oncologists. CT is the principal tool used to stage tumor, assess response, and guide radiation therapy. This review provides a discussion of how we optimize oncologic CT to best meet the needs of the patient with cancer.

Body CT and oncologic imaging.

The incidence of renal cell carcinoma is increasing, in part due to the growing use of cross-sectional imaging. Most renal tumors are now incidentally detected as small masses in asymptomatic patients. A minority of small renal masses, presumed to be renal cell carcinoma, grow significantly over time if managed conservatively, but the growth rate of the majority is slow or undetectable. In the absence of other prognostic factors, measurement of tumor growth rate can be helpful for initial conservative management of selected patients with small renal tumors. To date, there have been no reports of progression to metastatic disease occurring during active surveillance, but longer follow-up is needed to confirm this observation. The standard of care for small localized renal neoplasms is partial or radical nephrectomy. At the present time, active surveillance of small renal masses, with delayed therapy for patients whose disease progresses, is an experimental approach that can be considered for the elderly or patients with significant comorbidity. Renal core biopsy and fine-needle aspiration can provide essential information for treatment decision-making and should therefore be considered in the diagnostic work-up of all small renal masses. In future, the identification of prognostic indicators, with the use of new techniques including functional imaging and molecular or genomic characterization of tissue from needle biopsies, are expected to help clinicians differentiate between indolent and potentially aggressive small renal tumors.

Validation of a Technique of Computer-Aided Tumor Volume Determination

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Validation of a Technique of Computer-Aided Tumor Volume Determination