Diagnostic and Prognostic Potential of Multiparametric Renal MRI in Kidney Transplant Patients
Article Swipe
Rebeca Echeverría‐Chasco
,
Paloma Leticia Martín-Moreno
,
Verónica Aramendía‐Vidaurreta
,
Leyre García-Ruiz
,
José María Mora‐Gutiérrez
,
Marta Vidorreta
,
Arantxa Villanueva
,
David Cano
,
Gorka Bastarrika
,
Núria García-Fernández
,
María A. Fernández‐Seara
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/jmri.29235
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/jmri.29235
Background Multiparametric MRI provides assessment of functional and structural parameters in kidney allografts. It offers a non‐invasive alternative to the current reference standard of kidney biopsy. Purpose To evaluate the diagnostic and prognostic utility of MRI parameters in the assessment of allograft function in the first 3‐months post‐transplantation. Study Type Prospective. Subjects 32 transplant recipients (54 ± 17 years, 20 females), divided into two groups according to estimated glomerular filtration rate (eGFR) at 3‐months post‐transplantation: inferior graft function (IGF; eGFR<45 mL/min/1.73 m 2 , n = 10) and superior graft function (SGF; eGFR ≥ 45 mL/min/1.73 m 2 , n = 22). Further categorization was based on the need for hemodialysis (C1) and decrease in s‐creatinine (C2) at 1‐week post‐transplantation: delayed‐graft‐function (DGF: n = 4 C1, n = 10 C2) and early graft‐function (EGF: n = 28 C1, n = 22 C2). Field Strength/Sequence 3‐T, pseudo‐continuous arterial spin labeling, T1‐mapping, and diffusion‐weighted imaging. Assessment Multiparametric MRI was evaluated at 1‐week in all patients and 3‐months after transplantation in 28 patients. Renal blood flow (RBF), diffusion coefficients (ADC, ΔADC, D , D , D *, flowing fraction f ), T 1 and T 1 were calculated in cortex and medulla. The diagnostic and prognostic value of these parameters, obtained at 3‐months and 1‐week post‐transplantation, respectively, was evaluated in the cortex to discriminate between DGF and EGF, and between SGF and IGF. Statistical Tests Logistic regression, receiver‐operating‐characteristics, area‐under‐the‐curve (AUC), confidence intervals (CIs), analysis‐of‐variance, t ‐test, Wilcoxon‐Mann–Whitney test, Fisher's exact test, Pearson's correlation. P ‐value<0.05 was considered significant. Results DGF patients exhibited significantly lower cortical RBF and f and higher D *. The diagnostic value of MRI for detecting DGF was excellent (AUC = 100%). Significant differences between patients with IGF and SGF were found in RBF, ∆ T 1 , and ∆ D . Multiparametric MRI showed higher diagnostic (AUC = 95.32%; CI: 88%–100%) and prognostic (AUC = 97.47%, CI: 92%–100%) values for detecting IGF than eGFR (AUC = 89.50%, CI: 79%–100%). Data Conclusion Multiparametric MRI may show high diagnostic and prognostic value in transplanted patients, yielding better results compared to eGFR measurements. Level of Evidence 2 Technical Efficacy Stage 1
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/jmri.29235
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.29235
- OA Status
- hybrid
- Cited By
- 7
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391028188
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391028188Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/jmri.29235Digital Object Identifier
- Title
-
Diagnostic and Prognostic Potential of Multiparametric Renal
MRI in Kidney Transplant PatientsWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-01-19Full publication date if available
- Authors
-
Rebeca Echeverría‐Chasco, Paloma Leticia Martín-Moreno, Verónica Aramendía‐Vidaurreta, Leyre García-Ruiz, José María Mora‐Gutiérrez, Marta Vidorreta, Arantxa Villanueva, David Cano, Gorka Bastarrika, Núria García-Fernández, María A. Fernández‐SearaList of authors in order
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https://doi.org/10.1002/jmri.29235Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.29235Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.29235Direct OA link when available
- Concepts
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Medicine, Transplantation, Renal function, Urology, Receiver operating characteristic, Kidney transplantation, Effective diffusion coefficient, Biopsy, Kidney, Creatinine, Renal cortex, Area under the curve, Nuclear medicine, Magnetic resonance imaging, Radiology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.graft | 76, 89 |
| abstract_inverted_index.lower | 260 |
| abstract_inverted_index.test, | 244, 247 |
| abstract_inverted_index.these | 205 |
| abstract_inverted_index.value | 203, 271, 340 |
| abstract_inverted_index.(AUC), | 236 |
| abstract_inverted_index.(CIs), | 239 |
| abstract_inverted_index.(RBF), | 173 |
| abstract_inverted_index.(eGFR) | 71 |
| abstract_inverted_index.100%). | 281 |
| abstract_inverted_index.3‐T, | 144 |
| abstract_inverted_index.better | 345 |
| abstract_inverted_index.cortex | 196, 218 |
| abstract_inverted_index.groups | 64 |
| abstract_inverted_index.higher | 266, 305 |
| abstract_inverted_index.kidney | 11, 24 |
| abstract_inverted_index.offers | 14 |
| abstract_inverted_index.showed | 304 |
| abstract_inverted_index.values | 319 |
| abstract_inverted_index.years, | 58 |
| abstract_inverted_index.ΔADC, | 177 |
| abstract_inverted_index.89.50%, | 327 |
| abstract_inverted_index.95.32%; | 309 |
| abstract_inverted_index.97.47%, | 316 |
| abstract_inverted_index.Further | 102 |
| abstract_inverted_index.Purpose | 26 |
| abstract_inverted_index.Results | 255 |
| abstract_inverted_index.between | 221, 226, 284 |
| abstract_inverted_index.biopsy. | 25 |
| abstract_inverted_index.current | 20 |
| abstract_inverted_index.divided | 61 |
| abstract_inverted_index.flowing | 184 |
| abstract_inverted_index.results | 346 |
| abstract_inverted_index.utility | 33 |
| abstract_inverted_index.1‐week | 118, 159, 211 |
| abstract_inverted_index.Efficacy | 356 |
| abstract_inverted_index.Evidence | 353 |
| abstract_inverted_index.Fisher's | 245 |
| abstract_inverted_index.Logistic | 232 |
| abstract_inverted_index.Subjects | 51 |
| abstract_inverted_index.arterial | 146 |
| abstract_inverted_index.compared | 347 |
| abstract_inverted_index.cortical | 261 |
| abstract_inverted_index.decrease | 113 |
| abstract_inverted_index.evaluate | 28 |
| abstract_inverted_index.fraction | 185 |
| abstract_inverted_index.function | 42, 77, 90 |
| abstract_inverted_index.imaging. | 152 |
| abstract_inverted_index.inferior | 75 |
| abstract_inverted_index.medulla. | 198 |
| abstract_inverted_index.obtained | 207 |
| abstract_inverted_index.patients | 162, 257, 285 |
| abstract_inverted_index.provides | 3 |
| abstract_inverted_index.standard | 22 |
| abstract_inverted_index.superior | 88 |
| abstract_inverted_index.yielding | 344 |
| abstract_inverted_index.‐test, | 242 |
| abstract_inverted_index.Pearson's | 248 |
| abstract_inverted_index.Technical | 355 |
| abstract_inverted_index.according | 65 |
| abstract_inverted_index.allograft | 41 |
| abstract_inverted_index.detecting | 275, 321 |
| abstract_inverted_index.diffusion | 174 |
| abstract_inverted_index.estimated | 67 |
| abstract_inverted_index.evaluated | 157, 215 |
| abstract_inverted_index.excellent | 278 |
| abstract_inverted_index.exhibited | 258 |
| abstract_inverted_index.females), | 60 |
| abstract_inverted_index.intervals | 238 |
| abstract_inverted_index.labeling, | 148 |
| abstract_inverted_index.patients, | 343 |
| abstract_inverted_index.patients. | 169 |
| abstract_inverted_index.reference | 21 |
| abstract_inverted_index.3‐months | 46, 73, 164, 209 |
| abstract_inverted_index.Assessment | 153 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 331 |
| abstract_inverted_index.assessment | 4, 39 |
| abstract_inverted_index.calculated | 194 |
| abstract_inverted_index.confidence | 237 |
| abstract_inverted_index.considered | 253 |
| abstract_inverted_index.diagnostic | 30, 200, 270, 306, 337 |
| abstract_inverted_index.eGFR<45 | 79 |
| abstract_inverted_index.filtration | 69 |
| abstract_inverted_index.functional | 6 |
| abstract_inverted_index.glomerular | 68 |
| abstract_inverted_index.parameters | 9, 36 |
| abstract_inverted_index.prognostic | 32, 202, 313, 339 |
| abstract_inverted_index.recipients | 54 |
| abstract_inverted_index.structural | 8 |
| abstract_inverted_index.transplant | 53 |
| abstract_inverted_index.88%–100%) | 311 |
| abstract_inverted_index.92%–100%) | 318 |
| abstract_inverted_index.Significant | 282 |
| abstract_inverted_index.Statistical | 230 |
| abstract_inverted_index.allografts. | 12 |
| abstract_inverted_index.alternative | 17 |
| abstract_inverted_index.differences | 283 |
| abstract_inverted_index.mL/min/1.73 | 80, 95 |
| abstract_inverted_index.parameters, | 206 |
| abstract_inverted_index.regression, | 233 |
| abstract_inverted_index.79%–100%). | 329 |
| abstract_inverted_index.Prospective. | 50 |
| abstract_inverted_index.coefficients | 175 |
| abstract_inverted_index.correlation. | 249 |
| abstract_inverted_index.discriminate | 220 |
| abstract_inverted_index.hemodialysis | 110 |
| abstract_inverted_index.significant. | 254 |
| abstract_inverted_index.transplanted | 342 |
| abstract_inverted_index.T1‐mapping, | 149 |
| abstract_inverted_index.measurements. | 350 |
| abstract_inverted_index.respectively, | 213 |
| abstract_inverted_index.significantly | 259 |
| abstract_inverted_index.categorization | 103 |
| abstract_inverted_index.non‐invasive | 16 |
| abstract_inverted_index.s‐creatinine | 115 |
| abstract_inverted_index.Multiparametric | 1, 154, 302, 332 |
| abstract_inverted_index.transplantation | 166 |
| abstract_inverted_index.graft‐function | 132 |
| abstract_inverted_index.‐value<0.05 | 251 |
| abstract_inverted_index.Strength/Sequence | 143 |
| abstract_inverted_index.pseudo‐continuous | 145 |
| abstract_inverted_index.diffusion‐weighted | 151 |
| abstract_inverted_index.post‐transplantation, | 212 |
| abstract_inverted_index.post‐transplantation. | 47 |
| abstract_inverted_index.post‐transplantation: | 74, 119 |
| abstract_inverted_index.Wilcoxon‐Mann–Whitney | 243 |
| abstract_inverted_index.analysis‐of‐variance, | 240 |
| abstract_inverted_index.area‐under‐the‐curve | 235 |
| abstract_inverted_index.delayed‐graft‐function | 120 |
| abstract_inverted_index.receiver‐operating‐characteristics, | 234 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5081843490 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I4210112085, https://openalex.org/I4210135003 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.49000000953674316 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.92858828 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |