APA (7th ed.) Citation

Gaudiano, C., Bianchi, L., Corcioni, B., Giunchi, F., Schiavina, R., Ciccarese, F., . . . Golfieri, R. (2022). Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones. International urology and nephrology, 54(2), 263-271. https://doi.org/10.1007/s11255-021-03071-7

Chicago Style (17th ed.) Citation

Gaudiano, Caterina, et al. "Evaluating the Performance of Clinical and Radiological Data in Predicting Prostate Cancer in Prostate Imaging Reporting and Data System Version 2.1 Category 3 Lesions of the Peripheral and the Transition Zones." International Urology and Nephrology 54, no. 2 (2022): 263-271. https://doi.org/10.1007/s11255-021-03071-7.

MLA (9th ed.) Citation

Gaudiano, Caterina, et al. "Evaluating the Performance of Clinical and Radiological Data in Predicting Prostate Cancer in Prostate Imaging Reporting and Data System Version 2.1 Category 3 Lesions of the Peripheral and the Transition Zones." International Urology and Nephrology, vol. 54, no. 2, 2022, pp. 263-271, https://doi.org/10.1007/s11255-021-03071-7.