无线电技术
肾细胞癌
计算机科学
肾肿块
医学影像学
模式
人工智能
医学物理学
放射科
医学
肾
病理
内科学
社会科学
社会学
肾切除术
作者
Khoschy Schawkat,Katherine M. Krajewski
标识
DOI:10.1016/j.hoc.2023.05.002
摘要
This article presents a comprehensive overview of new imaging approaches and techniques for improving the assessment of renal masses and renal cell carcinoma . The Bosniak classification, version 2019, as well as the clear cell likelihood score, version 2.0, will be discussed as new imaging algorithms using established techniques. Additionally, newer modalities, such as contrast-enhanced ultrasound, dual energy computed tomography , and molecular imaging , will be discussed in conjunction with emerging radiomics and artificial intelligence techniques. Current diagnostic algorithms combined with newer approaches may be an effective way to overcome existing limitations in renal mass and RCC characterization.
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