Radiomics in Kidney Transplantation: A Scoping Review of Current Applications, Limitations, and Future Directions

Author:

Lim Ee Jean1,Yen Jie1,Fong Khi Yung2,Tiong Ho Yee3,Aslim Edwin Jonathan1,Ng Lay Guat1,Castellani Daniele4,Borgheresi Alessandra56,Agostini Andrea56,Somani Bhaskar Kumar7,Gauhar Vineet8,Gan Valerie Huei Li19

Affiliation:

1. Department of Urology, Singapore General Hospital, Singapore.

2. Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

3. Department of Urology, National University Hospital, Singapore.

4. Urology Unit, Azienda Ospedaliero Universitaria delle Marche, Università Politecnica delle Marche, Ancona, Italy.

5. Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona, Italy.

6. Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche,” Ancona, Italy.

7. Department of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.

8. Department of Urology, Ng Teng Fong Hospital, Singapore.

9. SingHealth Duke-NUS Transplant Centre, Singapore.

Abstract

Radiomics is increasingly applied to the diagnosis, management, and outcome prediction of various urological conditions. The purpose of this scoping review is to evaluate the current evidence of the application of radiomics in kidney transplantation, especially its utility in diagnostics and therapeutics. An electronic literature search on radiomics in the setting of transplantation was conducted on PubMed, EMBASE, and Scopus from inception to September 23, 2022. A total of 16 studies were included. The most widely studied clinical utility of radiomics in kidney transplantation is its use as an adjunct to diagnose rejection, potentially reducing the need for unnecessary biopsies or guiding decisions for earlier biopsies to optimize graft survival. Technology such as optical coherence tomography is a noninvasive procedure to build high-resolution optical cross-section images of the kidney cortex in situ and in real time, which can provide histopathological information of donor kidney candidates for transplantation, and to predict posttransplant function. This review shows that, although radiomics in kidney transplants is still in its infancy, it has the potential for large-scale implementation. Its greatest potential lies in the correlation with conventional established diagnostic evaluation for living donors and potential in predicting and detecting rejection postoperatively.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation

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