Luis Carlos Sanmiguel Serpa, Pieter de Visschere, Marijn Speeckaert, Pim Pullens
{"title":"人体测量因素对肾脏 mpMRI 的影响：区域分析的启示","authors":"Luis Carlos Sanmiguel Serpa, Pieter de Visschere, Marijn Speeckaert, Pim Pullens","doi":"10.1002/jmri.29638","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Multiparametric MRI (mpMRI) provides detailed insights into renal function, but the impact of anthropometric factors on renal imaging is not fully understood.</p><p><strong>Purpose: </strong>To investigate regional correlations between mpMRI parameters and age, body mass index (BMI), and body surface area (BSA).</p><p><strong>Study type: </strong>Prospective, cross-sectional observational study.</p><p><strong>Population: </strong>Twenty-nine healthy volunteers (44.5 ± 18.3 years, 18 females) without a history of renal disease.</p><p><strong>Field strength/sequence: </strong>3-T, pseudo-continuous arterial spin labeling, multi-echo gradient-recalled echo, diffusion-weighted imaging, T<sub>1</sub> and T<sub>2</sub> mapping.</p><p><strong>Assessment: </strong>Bilateral kidneys were segmented into nine concentric layers (outer cortex to inner regions) and nine equiangular sections (lower to upper pole). Key parameters (renal blood flow [RBF], <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\ast } $$</annotation></semantics> </math> , apparent diffusion coefficient [ADC], T<sub>1</sub> and T<sub>2</sub> maps) were correlated with age, BMI, and BSA. Differences in parameters between age and BMI groups were also evaluated.</p><p><strong>Statistical tests: </strong>Spearman correlation, Mann-Whitney U test, and rank-biserial correlation coefficient for effect size. A P-value <0.05 was considered statistically significant.</p><p><strong>Results: </strong>RBF correlated negatively with age in all regions and BMI in inner layers and lower pole. ADC negatively correlated with BMI (significance was not reached in layers 2, 7, 8; P-value = 0.06-0.12) and BSA in layers 1-7. T<sub>1</sub> negatively correlated with age in inner regions and lower medial pole. Significant positive correlations were found between age and <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\ast } $$</annotation></semantics> </math> (outermost layer, upper pole), age and T<sub>2</sub> (inner and cranial-caudal regions), as well as BMI and T<sub>2</sub> (except upper pole; P-value = 0.06). Significant differences between age groups were observed for RBF (all regions), <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\ast } $$</annotation></semantics> </math> (outermost and second innermost layers, central lateral region), T<sub>1</sub> (innermost layer), and T<sub>2</sub> (upper medial pole). Between BMI groups, ADC (middle layers, upper medial pole) and T<sub>2</sub> (outermost and inner layers, lower pole to lateral region) differed significantly.</p><p><strong>Data conclusion: </strong>Intrarenal variance of mpMRI parameters correlated with age, BMI, and BSA.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Influence of Anthropometric Factors on Renal mpMRI: Insights From Regional Analysis.\",\"authors\":\"Luis Carlos Sanmiguel Serpa, Pieter de Visschere, Marijn Speeckaert, Pim Pullens\",\"doi\":\"10.1002/jmri.29638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Multiparametric MRI (mpMRI) provides detailed insights into renal function, but the impact of anthropometric factors on renal imaging is not fully understood.</p><p><strong>Purpose: </strong>To investigate regional correlations between mpMRI parameters and age, body mass index (BMI), and body surface area (BSA).</p><p><strong>Study type: </strong>Prospective, cross-sectional observational study.</p><p><strong>Population: </strong>Twenty-nine healthy volunteers (44.5 ± 18.3 years, 18 females) without a history of renal disease.</p><p><strong>Field strength/sequence: </strong>3-T, pseudo-continuous arterial spin labeling, multi-echo gradient-recalled echo, diffusion-weighted imaging, T<sub>1</sub> and T<sub>2</sub> mapping.</p><p><strong>Assessment: </strong>Bilateral kidneys were segmented into nine concentric layers (outer cortex to inner regions) and nine equiangular sections (lower to upper pole). Key parameters (renal blood flow [RBF], <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\\\ast } $$</annotation></semantics> </math> , apparent diffusion coefficient [ADC], T<sub>1</sub> and T<sub>2</sub> maps) were correlated with age, BMI, and BSA. Differences in parameters between age and BMI groups were also evaluated.</p><p><strong>Statistical tests: </strong>Spearman correlation, Mann-Whitney U test, and rank-biserial correlation coefficient for effect size. A P-value <0.05 was considered statistically significant.</p><p><strong>Results: </strong>RBF correlated negatively with age in all regions and BMI in inner layers and lower pole. ADC negatively correlated with BMI (significance was not reached in layers 2, 7, 8; P-value = 0.06-0.12) and BSA in layers 1-7. T<sub>1</sub> negatively correlated with age in inner regions and lower medial pole. Significant positive correlations were found between age and <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\\\ast } $$</annotation></semantics> </math> (outermost layer, upper pole), age and T<sub>2</sub> (inner and cranial-caudal regions), as well as BMI and T<sub>2</sub> (except upper pole; P-value = 0.06). Significant differences between age groups were observed for RBF (all regions), <math> <semantics> <mrow><msubsup><mi>R</mi> <mn>2</mn> <mo>*</mo></msubsup> </mrow> <annotation>$$ {R}_2^{\\\\ast } $$</annotation></semantics> </math> (outermost and second innermost layers, central lateral region), T<sub>1</sub> (innermost layer), and T<sub>2</sub> (upper medial pole). Between BMI groups, ADC (middle layers, upper medial pole) and T<sub>2</sub> (outermost and inner layers, lower pole to lateral region) differed significantly.</p><p><strong>Data conclusion: </strong>Intrarenal variance of mpMRI parameters correlated with age, BMI, and BSA.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 1.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/jmri.29638\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jmri.29638","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
The Influence of Anthropometric Factors on Renal mpMRI: Insights From Regional Analysis.
Background: Multiparametric MRI (mpMRI) provides detailed insights into renal function, but the impact of anthropometric factors on renal imaging is not fully understood.
Purpose: To investigate regional correlations between mpMRI parameters and age, body mass index (BMI), and body surface area (BSA).
Study type: Prospective, cross-sectional observational study.
Population: Twenty-nine healthy volunteers (44.5 ± 18.3 years, 18 females) without a history of renal disease.
Field strength/sequence: 3-T, pseudo-continuous arterial spin labeling, multi-echo gradient-recalled echo, diffusion-weighted imaging, T1 and T2 mapping.
Assessment: Bilateral kidneys were segmented into nine concentric layers (outer cortex to inner regions) and nine equiangular sections (lower to upper pole). Key parameters (renal blood flow [RBF], , apparent diffusion coefficient [ADC], T1 and T2 maps) were correlated with age, BMI, and BSA. Differences in parameters between age and BMI groups were also evaluated.
Statistical tests: Spearman correlation, Mann-Whitney U test, and rank-biserial correlation coefficient for effect size. A P-value <0.05 was considered statistically significant.
Results: RBF correlated negatively with age in all regions and BMI in inner layers and lower pole. ADC negatively correlated with BMI (significance was not reached in layers 2, 7, 8; P-value = 0.06-0.12) and BSA in layers 1-7. T1 negatively correlated with age in inner regions and lower medial pole. Significant positive correlations were found between age and (outermost layer, upper pole), age and T2 (inner and cranial-caudal regions), as well as BMI and T2 (except upper pole; P-value = 0.06). Significant differences between age groups were observed for RBF (all regions), (outermost and second innermost layers, central lateral region), T1 (innermost layer), and T2 (upper medial pole). Between BMI groups, ADC (middle layers, upper medial pole) and T2 (outermost and inner layers, lower pole to lateral region) differed significantly.
Data conclusion: Intrarenal variance of mpMRI parameters correlated with age, BMI, and BSA.
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