Estimating the Sodium Content: A Case Series of Benign and Malignant Renal Tumours Using <sup>23</sup> Na‐MRI at 3 T

ABSTRACT Accurate and non‐invasive subtyping of localised renal tumours is an important unmet clinical challenge in uro‐oncology and has significant implications for patient mortality and quality of life. Developing novel imaging methods to characterise and stratify indeterminate kidney tumours at an early stage has the potential to address this clinical challenge. Here we applied sodium MRI ( 23 Na‐MRI) to estimate kidney tumour sodium content in a prospectively recruited case series of 10 patients (mean age ± SD 64 ± 8 years; 7:3 male:female ratio). The patients had localised renal tumours which included six renal oncocytomas (ROs), two chromophobe renal cell carcinomas (chRCCs), three clear cell RCCs (ccRCC) and one papillary RCC (pRCC). The patients underwent 23 Na‐MRI at 3 T (3D sodium cones and double‐angle B 1 mapping) and 1 H‐MRI which included R 2 * mapping and intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI). The following imaging parameters were quantified within the renal tumours and in the normal‐appearing kidney parenchyma: apparent total sodium concentration (TSC); apparent 23 Na and 1 H relaxation rates ( R 2 *); perfusion fraction ( f p ); and diffusion coefficient ( D t ). 23 Na‐MRI findings were correlated with conventional 1 H‐MRI measures of perfusion, hypoxia and cellularity. The mean apparent TSC in ccRCC and in pRCC were 135 ± 59 mM and 81 mM, respectively. The apparent TSC was significantly higher in ROs compared to chRCCs: 162 ± 58 mM vs. 71 ± 2 mM ( p &lt; 0.05). The apparent TSC inversely correlated with 1 H‐ R 2 * (Spearman r = −0.39, p &lt; 0.05). In conclusion, this study showed the feasibility and potential of using 23 Na‐MRI in renal tumours to probe sodium concentrations. These preliminary findings suggest a differential sodium content between benign ROs and malignant chRCCs. The inverse correlation between sodium concentration and 1 H‐ R 2 * as a surrogate of hypoxia may indicate a biophysical relationship between the two which requires further validation in larger patient cohorts.

Authors

Institutions

Publication Details

Journal
NMR in Biomedicine
Published
2026-06-24
DOI
https://doi.org/10.1002/nbm.70338
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the Sodium Content: A Case Series of Benign and Malignant Renal Tumours Using 23 Na‐MRI at 3 T

Ines Horvat‐Menih, Ferdia A. Gallagher, James O. Jones, Frank Riemer et al.
NMR in Biomedicine
Renal cell carcinoma treatment
article

Estimating the Sodium Content: A Case Series of Benign and Malignant Renal Tumours Using 23 Na‐MRI at 3 T

Ines Horvat‐Menih, Ferdia A. Gallagher, James O. Jones, Frank Riemer, Marta Wylot, Jonathan R. Birchall, Joshua Kaggie, Grant Duncan Stewart, Thomas J. Mitchell, Alice Bebb, Iosif A. Mendichovszky, James N. Armitage, Andrew B. Gill, Maria J. Zamora‐Morales, Mary A. McLean, Anne Y. Warren, Andrew N. Priest
article en

Abstract

ABSTRACT Accurate and non‐invasive subtyping of localised renal tumours is an important unmet clinical challenge in uro‐oncology and has significant implications for patient mortality and quality of life. Developing novel imaging methods to characterise and stratify indeterminate kidney tumours at an early stage has the potential to address this clinical challenge. Here we applied sodium MRI ( 23 Na‐MRI) to estimate kidney tumour sodium content in a prospectively recruited case series of 10 patients (mean age ± SD 64 ± 8 years; 7:3 male:female ratio). The patients had localised renal tumours which included six renal oncocytomas (ROs), two chromophobe renal cell carcinomas (chRCCs), three clear cell RCCs (ccRCC) and one papillary RCC (pRCC). The patients underwent 23 Na‐MRI at 3 T (3D sodium cones and double‐angle B 1 mapping) and 1 H‐MRI which included R 2 * mapping and intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI). The following imaging parameters were quantified within the renal tumours and in the normal‐appearing kidney parenchyma: apparent total sodium concentration (TSC); apparent 23 Na and 1 H relaxation rates ( R 2 *); perfusion fraction ( f p ); and diffusion coefficient ( D t ). 23 Na‐MRI findings were correlated with conventional 1 H‐MRI measures of perfusion, hypoxia and cellularity. The mean apparent TSC in ccRCC and in pRCC were 135 ± 59 mM and 81 mM, respectively. The apparent TSC was significantly higher in ROs compared to chRCCs: 162 ± 58 mM vs. 71 ± 2 mM ( p &lt; 0.05). The apparent TSC inversely correlated with 1 H‐ R 2 * (Spearman r = −0.39, p &lt; 0.05). In conclusion, this study showed the feasibility and potential of using 23 Na‐MRI in renal tumours to probe sodium concentrations. These preliminary findings suggest a differential sodium content between benign ROs and malignant chRCCs. The inverse correlation between sodium concentration and 1 H‐ R 2 * as a surrogate of hypoxia may indicate a biophysical relationship between the two which requires further validation in larger patient cohorts.

NMR in BiomedicineVol. 39(8)
University of Cambridge (GB), Royal Papworth Hospital (GB), Haukeland University Hospital (NO), Cambridge University Hospitals NHS Foundation Trust (GB)
Canadian Institute for Advanced Research, Mark Foundation For Cancer Research, Cancer Research UK, NIHR Cambridge Biomedical Research Centre, Cancer Research UK Cambridge Institute, University of Cambridge
Good health and well-being
Openalex Percentile: Top 7%
Renal cell carcinoma treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.