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Diagnostics
Volume 13
Issue 17
10.3390/diagnostics13172743
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Review

The Use of Radiomic Tools in Renal Mass Characterization

by
Beatriz Gutiérrez Hidalgo
1,*,
Juan Gómez Rivas
1,*,
Irene de la Parra
1,
María Jesús Marugán
1,
Álvaro Serrano
1,
Juan Fco Hermida Gutiérrez
1,
Jerónimo Barrera
2 and
Jesús Moreno-Sierra
1
1
Department of Urology, Clínico San Carlos Hospital, Health Research Institute of Clínico San Carlos Hospital, Complutense University, 28040 Madrid, Spain
2
Radiodiagnosis Department, Clínico San Carlos Hospital, Complutense University, 28040 Madrid, Spain
*
Authors to whom correspondence should be addressed.
Diagnostics 2023, 13(17), 2743; https://doi.org/10.3390/diagnostics13172743
Submission received: 1 June 2023 / Revised: 26 July 2023 / Accepted: 7 August 2023 / Published: 24 August 2023
(This article belongs to the Special Issue Role of Artificial Intelligence from the Diagnosis to the Treatment of Renal Cancer: Imaging, Histology and Beyond)
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Abstract

The incidence of renal mass detection has increased during recent decades, with an increased diagnosis of small renal masses, and a final benign diagnosis in some cases. To avoid unnecessary surgeries, there is an increasing interest in using radiomics tools to predict histological results, using radiological features. We performed a narrative review to evaluate the use of radiomics in renal mass characterization. Conventional images, such as computed tomography (CT) and magnetic resonance (MR), are the most common diagnostic tools in renal mass characterization. Distinguishing between benign and malignant tumors in small renal masses can be challenging using conventional methods. To improve subjective evaluation, the interest in using radiomics to obtain quantitative parameters from medical images has increased. Several studies have assessed this novel tool for renal mass characterization, comparing its ability to distinguish benign to malign tumors, the results in differentiating renal cell carcinoma subtypes, or the correlation with prognostic features, with other methods. In several studies, radiomic tools have shown a good accuracy in characterizing renal mass lesions. However, due to the heterogeneity in the radiomic model building, prospective and external validated studies are needed.
Keywords: benign; malignant; kidney; tumor; radiomics; renal mass; renal cell carcinoma; texture analysis; prognosis benign; malignant; kidney; tumor; radiomics; renal mass; renal cell carcinoma; texture analysis; prognosis

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MDPI and ACS Style

Gutiérrez Hidalgo, B.; Gómez Rivas, J.; de la Parra, I.; Marugán, M.J.; Serrano, Á.; Hermida Gutiérrez, J.F.; Barrera, J.; Moreno-Sierra, J. The Use of Radiomic Tools in Renal Mass Characterization. Diagnostics 2023, 13, 2743. https://doi.org/10.3390/diagnostics13172743

AMA Style

Gutiérrez Hidalgo B, Gómez Rivas J, de la Parra I, Marugán MJ, Serrano Á, Hermida Gutiérrez JF, Barrera J, Moreno-Sierra J. The Use of Radiomic Tools in Renal Mass Characterization. Diagnostics. 2023; 13(17):2743. https://doi.org/10.3390/diagnostics13172743

Chicago/Turabian Style

Gutiérrez Hidalgo, Beatriz, Juan Gómez Rivas, Irene de la Parra, María Jesús Marugán, Álvaro Serrano, Juan Fco Hermida Gutiérrez, Jerónimo Barrera, and Jesús Moreno-Sierra. 2023. "The Use of Radiomic Tools in Renal Mass Characterization" Diagnostics 13, no. 17: 2743. https://doi.org/10.3390/diagnostics13172743

APA Style

Gutiérrez Hidalgo, B., Gómez Rivas, J., de la Parra, I., Marugán, M. J., Serrano, Á., Hermida Gutiérrez, J. F., Barrera, J., & Moreno-Sierra, J. (2023). The Use of Radiomic Tools in Renal Mass Characterization. Diagnostics, 13(17), 2743. https://doi.org/10.3390/diagnostics13172743

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