OBJECTIVES: To evaluate the current accuracy of CT for diagnosing benign renal tumors. MATERIALS AND METHODS: We retrospectively reviewed 905 patients who underwent preoperative CT followed by surgical resection. The final pathology was benign in 156 patients (17%). After exclusions, 140 patients with 163 benign tumors were included and 3 sets of the CT interpretations by radiologists with varying levels of experience were analyzed. RESULTS: The histological breakdown was as follows: oncocytomas (54.6%), angiomyolipomas (AMLs; 30.7%), renal cysts (8.0%), other miscellaneous benign tumors (6.7%). The sensitivities of diagnosing oncocytomas were 3.4, 9.0, and 13.5% in primary radiological reports, second blinded reviews, and third non-blinded reviews, respectively (p = 0.055). The sensitivities of diagnosing AMLs were 46.0, 58.0, and 62.0% in the 3-sets of CT interpretations, respectively (p = 0.246). As for renal cysts, the sensitivities were 69.2, 92.3, and 100% in the 3-sets of CT interpretations, respectively (p = 0.051). In primary reports, the positive predictive values were 95.8% in lipid poor (lp)-AMLs, 60.0% in oncocytomas, 69.2% in renal cysts, respectively (p < 0.05). CONCLUSIONS: Current conventional CT imaging still has limitations in differentiating oncocytomas and lp-AMLs from renal cell carcinomas, even when images were re-examined by experienced radiologists.
OBJECTIVES: To evaluate the current accuracy of CT for diagnosing benign renal tumors. MATERIALS AND METHODS: We retrospectively reviewed 905 patients who underwent preoperative CT followed by surgical resection. The final pathology was benign in 156 patients (17%). After exclusions, 140 patients with 163 benign tumors were included and 3 sets of the CT interpretations by radiologists with varying levels of experience were analyzed. RESULTS: The histological breakdown was as follows: oncocytomas (54.6%), angiomyolipomas (AMLs; 30.7%), renal cysts (8.0%), other miscellaneous benign tumors (6.7%). The sensitivities of diagnosing oncocytomas were 3.4, 9.0, and 13.5% in primary radiological reports, second blinded reviews, and third non-blinded reviews, respectively (p = 0.055). The sensitivities of diagnosing AMLs were 46.0, 58.0, and 62.0% in the 3-sets of CT interpretations, respectively (p = 0.246). As for renal cysts, the sensitivities were 69.2, 92.3, and 100% in the 3-sets of CT interpretations, respectively (p = 0.051). In primary reports, the positive predictive values were 95.8% in lipid poor (lp)-AMLs, 60.0% in oncocytomas, 69.2% in renal cysts, respectively (p < 0.05). CONCLUSIONS: Current conventional CT imaging still has limitations in differentiating oncocytomas and lp-AMLs from renal cell carcinomas, even when images were re-examined by experienced radiologists.
Authors: Homayoun Zargar; Thomas D Atwell; Jeffrey A Cadeddu; Jean J de la Rosette; Gunther Janetschek; Jihad H Kaouk; Surena F Matin; Thomas J Polascik; Kamran Zargar-Shoshtari; R Houston Thompson Journal: Eur Urol Date: 2015-03-26 Impact factor: 20.096
Authors: Borje Ljungberg; Karim Bensalah; Steven Canfield; Saeed Dabestani; Fabian Hofmann; Milan Hora; Markus A Kuczyk; Thomas Lam; Lorenzo Marconi; Axel S Merseburger; Peter Mulders; Thomas Powles; Michael Staehler; Alessandro Volpe; Axel Bex Journal: Eur Urol Date: 2015-01-21 Impact factor: 20.096
Authors: Joel Prince; Eric Bultman; Louis Hinshaw; Anna Drewry; Michael Blute; Sara Best; Fred T Lee; Timothy Ziemlewicz; Meghan Lubner; Fangfang Shi; Stephen Y Nakada; E Jason Abel Journal: J Urol Date: 2014-12-11 Impact factor: 7.450
Authors: Kevin G King; Mittul Gulati; Harshawn Malhi; Darryl Hwang; Inderbir S Gill; Phillip M Cheng; Edward G Grant; Vinay A Duddalwar Journal: Abdom Imaging Date: 2015-10
Authors: Seo Yong Park; Seong Soo Jeon; Seo Yeon Lee; Byong Chang Jeong; Seong Il Seo; Hyun Moo Lee; Han Yong Choi Journal: J Korean Med Sci Date: 2011-02-25 Impact factor: 2.153
Authors: Bino A Varghese; Frank Chen; Darryl H Hwang; Steven Y Cen; Inderbir S Gill; Vinay A Duddalwar Journal: Br J Radiol Date: 2018-06-21 Impact factor: 3.039
Authors: Felix Y Yap; Bino A Varghese; Steven Y Cen; Darryl H Hwang; Xiaomeng Lei; Bhushan Desai; Christopher Lau; Lindsay L Yang; Austin J Fullenkamp; Simin Hajian; Marielena Rivas; Megha Nayyar Gupta; Brian D Quinn; Manju Aron; Mihir M Desai; Monish Aron; Assad A Oberai; Inderbir S Gill; Vinay A Duddalwar Journal: Eur Radiol Date: 2020-08-15 Impact factor: 5.315