Multiparametric <scp>MRI</scp> for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study

Authors

Octavia Bane (ORCID: https://orcid.org/0000-0003-1315-5848)
M. H. Liu
Sara Lewis (ORCID: https://orcid.org/0000-0003-0364-375X)
Ian M. Bolger
Samira Farouk (ORCID: https://orcid.org/0000-0001-5598-5925)
Ghadi Abboud
Arthi Reddy
Bachir Taouli
Kirolos Meilika (ORCID: https://orcid.org/0000-0003-1375-8059)
Xin Mu
Philip M. Robson (ORCID: https://orcid.org/0000-0002-4916-970X)
Amir Horowitz
Ketan K. Badani
Bernd Kuhn
Haitham Al‐Mubarak
Paul Kennedy

Institutions

Mount Sinai Hospital (US)
Tisch Hospital (US)
Siemens Healthineers (Germany) (DE)
Icahn School of Medicine at Mount Sinai (US)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2026-01-14
DOI: https://doi.org/10.1002/jmri.70213
Citations: 1
Primary Topic: MRI in cancer diagnosis
Type: article
Field-Weighted Citation Impact: 31.92

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article

Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study

Octavia Bane, M. H. Liu, Sara Lewis, Ian M. Bolger et al.

Jan 14, 2026

1 citations

Journal of Magnetic Resonance Imaging

MRI in cancer diagnosis

31.92

article

Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study

Octavia Bane, M. H. Liu, Sara Lewis, Ian M. Bolger, Samira Farouk, Ghadi Abboud, Arthi Reddy, Bachir Taouli, Kirolos Meilika, Xin Mu, Philip M. Robson, Amir Horowitz, Ketan K. Badani, Bernd Kuhn, Haitham Al‐Mubarak, Paul Kennedy

January 14, 2026article en

1 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 63(4)

Mount Sinai Hospital (US), Tisch Hospital (US), Siemens Healthineers (Germany) (DE), Icahn School of Medicine at Mount Sinai (US)

Openalex Percentile: Top 2%

MRI in cancer diagnosis

31.92

DOI Open Access PDF OpenAlex

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