Usefulness of the Ice-Cream Cone Pattern in Computed Tomography for Prediction of Angiomyolipoma in Patients With a Small Renal Mass

Autor: Eu Chang Hwang, Taek Won Kang, In Sang Hwang, Jin Woong Kim, Seung Il Jung, Kwang Ho Kim, Dong Deuk Kwon, Kwangsung Park, Bu Hyeon Yun
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Korean Journal of Urology
ISSN: 2005-6745
2005-6737
Popis: Purpose: A morphologic contour method for assessing an exophytic renal mass as benign versus malignant on the basis of the shape of the interface with the renal parenchyma was recently developed. We investigated the usefulness of this morphologic contour method for predicting angiomyolipoma (AML) in patients who underwent partial nephrectomy for small renal masses (SRMs). Materials and Methods: From January 2004 to March 2013, among 197 patients who underwent partial nephrectomy for suspicious renal cell carcinoma (RCC), the medical records of 153 patients with tumors (AML or RCC) ≤3 cm in diameter were retrospectively reviewed. Patient characteristics including age, gender, type of surgery, size and location of tumor, pathologic results, and specific findings of the imaging study (“ice-cream cone” shape) were compared between the AML and RCC groups. Results: AML was diagnosed in 18 patients and RCC was diagnosed in 135 patients. Gender (p=0.001), tumor size (p=0.032), and presence of the ice-cream cone shape (p=0.001) showed statistically significant differences between the AML group and the RCC group. In the multivariate logistic regression analysis, female gender (odds ratio [OR], 5.20; 95% confidence interval [CI], 1.45 to 18.57; p=0.011), tumor size (OR, 0.34; 95% CI, 0.12 to 0.92; p=0.034), and presence of the ice-cream cone shape (OR, 18.12; 95% CI, 4.97 to 66.06; p=0.001) were predictors of AML. Conclusions: This study confirmed a high incidence of AML in females. Also, the ice-cream cone shape and small tumor size were significant predictors of AML in SRMs. These finding could be beneficial for counseling patients with SRMs.
Databáze: OpenAIRE