Insights into Renal Cell Carcinoma with Novel Imaging Approaches

Khoschy Schawkat; Katherine M Krajewski

doi:10.1016/j.hoc.2023.05.002

Insights into Renal Cell Carcinoma with Novel Imaging Approaches

Hematol Oncol Clin North Am. 2023 Oct;37(5):863-875. doi: 10.1016/j.hoc.2023.05.002. Epub 2023 Jun 9.

Authors

Khoschy Schawkat¹, Katherine M Krajewski²

Affiliations

¹ Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School.
² Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School; Dana-Farber Cancer Institute, 440 Brookline Avenue, Building MA Floor L1 Room 04AC, Boston, MA 02215, USA. Electronic address: kmkrajewski@bwh.harvard.edu.

PMID: 37302934
DOI: 10.1016/j.hoc.2023.05.002

Abstract

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.

Keywords: Bosniak classification version 2019; Clear cell likelihood score version 2.0; Contrast-enhanced ultrasound; Dual-energy CT; Girentuximab PET/CT; Prostate-specific membrane antigen (PSMA) PET/CT; Radiomics; Renal cell carcinoma.

Publication types

Review

MeSH terms

Algorithms
Artificial Intelligence
Carcinoma, Renal Cell* / diagnostic imaging
Carcinoma, Renal Cell* / pathology
Humans
Kidney Neoplasms* / diagnostic imaging
Kidney Neoplasms* / pathology
Tomography, X-Ray Computed / methods