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Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease

BACKGROUND: To investigate the role of native T(1) mapping in the non-invasive quantitative assessment of renal function and renal fibrosis (RF) in chronic kidney disease (CKD) patients. METHODS: A prospective analysis of 71 consecutive patients [no RF (0%): 9 cases; mild RF (<25%): 36 cases; mod...

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Autores principales: Wei, Chao-Gang, Zeng, Ying, Zhang, Rui, Zhu, Ye, Tu, Jian, Pan, Peng, Ma, Qing, Wei, Lan-Yi, Zhao, Wen-Lu, Shen, Jun-Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423339/
https://www.ncbi.nlm.nih.gov/pubmed/37581045
http://dx.doi.org/10.21037/qims-22-1304
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author Wei, Chao-Gang
Zeng, Ying
Zhang, Rui
Zhu, Ye
Tu, Jian
Pan, Peng
Ma, Qing
Wei, Lan-Yi
Zhao, Wen-Lu
Shen, Jun-Kang
author_facet Wei, Chao-Gang
Zeng, Ying
Zhang, Rui
Zhu, Ye
Tu, Jian
Pan, Peng
Ma, Qing
Wei, Lan-Yi
Zhao, Wen-Lu
Shen, Jun-Kang
author_sort Wei, Chao-Gang
collection PubMed
description BACKGROUND: To investigate the role of native T(1) mapping in the non-invasive quantitative assessment of renal function and renal fibrosis (RF) in chronic kidney disease (CKD) patients. METHODS: A prospective analysis of 71 consecutive patients [no RF (0%): 9 cases; mild RF (<25%): 36 cases; moderate RF (25–50%): 17 cases; severe RF (>50%): 9 cases] who were clinically diagnosed with CKD that was pathologically confirmed and who underwent magnetic resonance imaging (MRI) examination between October 2021 and September 2022 was performed. T(1)-C (mean cortical T(1) value), T(1)-M (mean medullary T(1) value), ΔT(1) (mean corticomedullary difference) and T(1)% (mean corticomedullary ratio) values were compared. Correlations between T(1) parameters and clinical and histopathological values were analyzed. Regression analysis was performed to determine independent predictors of RF. The areas under the receiver operating characteristic curve (AUC) were calculated to assess the diagnostic value of RF. RESULTS: The T(1)-C, ΔT(1) and T(1)% values (P<0.05) were significantly different in the CKD group, but T(1)-M was not (P>0.05). The ΔT(1) and T(1)% values showed significant differences in pairwise comparisons among CKD subgroups (P<0.05) except for CKD 2 and 3. ΔT(1) and T(1)% were moderately correlated with the estimated glomerular filtration rate (ΔT(1): r(s)=−0.561; T(1)%: r=−0.602), serum creatinine (ΔT(1): r(s)=0.591; T(1)%: r(s)=0.563), blood urea nitrogen (ΔT(1): r(s)=0.433; T(1)%: r(s)=0.435) and histopathological score (ΔT(1): r(s)=0.630; T(1)%: r(s)=0.658). ΔT(1) and T(1)%, but not T(1)-C, were independent predictors of RF (P<0.05). ΔT(1) and T(1)% were set as −410.07 ms and 0.8222 with great specificity [ΔT(1): 91.7% (77.5–98.2%); T(1)%: 97.2% (85.5–99.9%)] to identify mild RF and moderate-severe RF. The optimal cutoff values for differentiating severe RF from mild-moderate RF were −343.81 ms (ΔT(1)) and 0.8359 (T(1)%) with high sensitivity [both 100% (66.4–100%)] and specificity [ΔT(1): 90.6% (79.3–96.9%); T(1)%: 94.3% (84.3–98.8%)]. CONCLUSIONS: ΔT(1) and T(1)% overwhelm T(1)-C for assessment of renal function and RF in CKD patients. ΔT(1) and T(1)% identify patients with <25% and >50% fibrosis, which can guide clinical decision-making and help to avoid biopsy-related bleeding.
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spelling pubmed-104233392023-08-14 Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease Wei, Chao-Gang Zeng, Ying Zhang, Rui Zhu, Ye Tu, Jian Pan, Peng Ma, Qing Wei, Lan-Yi Zhao, Wen-Lu Shen, Jun-Kang Quant Imaging Med Surg Original Article BACKGROUND: To investigate the role of native T(1) mapping in the non-invasive quantitative assessment of renal function and renal fibrosis (RF) in chronic kidney disease (CKD) patients. METHODS: A prospective analysis of 71 consecutive patients [no RF (0%): 9 cases; mild RF (<25%): 36 cases; moderate RF (25–50%): 17 cases; severe RF (>50%): 9 cases] who were clinically diagnosed with CKD that was pathologically confirmed and who underwent magnetic resonance imaging (MRI) examination between October 2021 and September 2022 was performed. T(1)-C (mean cortical T(1) value), T(1)-M (mean medullary T(1) value), ΔT(1) (mean corticomedullary difference) and T(1)% (mean corticomedullary ratio) values were compared. Correlations between T(1) parameters and clinical and histopathological values were analyzed. Regression analysis was performed to determine independent predictors of RF. The areas under the receiver operating characteristic curve (AUC) were calculated to assess the diagnostic value of RF. RESULTS: The T(1)-C, ΔT(1) and T(1)% values (P<0.05) were significantly different in the CKD group, but T(1)-M was not (P>0.05). The ΔT(1) and T(1)% values showed significant differences in pairwise comparisons among CKD subgroups (P<0.05) except for CKD 2 and 3. ΔT(1) and T(1)% were moderately correlated with the estimated glomerular filtration rate (ΔT(1): r(s)=−0.561; T(1)%: r=−0.602), serum creatinine (ΔT(1): r(s)=0.591; T(1)%: r(s)=0.563), blood urea nitrogen (ΔT(1): r(s)=0.433; T(1)%: r(s)=0.435) and histopathological score (ΔT(1): r(s)=0.630; T(1)%: r(s)=0.658). ΔT(1) and T(1)%, but not T(1)-C, were independent predictors of RF (P<0.05). ΔT(1) and T(1)% were set as −410.07 ms and 0.8222 with great specificity [ΔT(1): 91.7% (77.5–98.2%); T(1)%: 97.2% (85.5–99.9%)] to identify mild RF and moderate-severe RF. The optimal cutoff values for differentiating severe RF from mild-moderate RF were −343.81 ms (ΔT(1)) and 0.8359 (T(1)%) with high sensitivity [both 100% (66.4–100%)] and specificity [ΔT(1): 90.6% (79.3–96.9%); T(1)%: 94.3% (84.3–98.8%)]. CONCLUSIONS: ΔT(1) and T(1)% overwhelm T(1)-C for assessment of renal function and RF in CKD patients. ΔT(1) and T(1)% identify patients with <25% and >50% fibrosis, which can guide clinical decision-making and help to avoid biopsy-related bleeding. AME Publishing Company 2023-05-22 2023-08-01 /pmc/articles/PMC10423339/ /pubmed/37581045 http://dx.doi.org/10.21037/qims-22-1304 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wei, Chao-Gang
Zeng, Ying
Zhang, Rui
Zhu, Ye
Tu, Jian
Pan, Peng
Ma, Qing
Wei, Lan-Yi
Zhao, Wen-Lu
Shen, Jun-Kang
Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title_full Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title_fullStr Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title_full_unstemmed Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title_short Native T(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
title_sort native t(1) mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423339/
https://www.ncbi.nlm.nih.gov/pubmed/37581045
http://dx.doi.org/10.21037/qims-22-1304
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