Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI

Objective: Patients with diabetes mellitus, diabetic nephropathy (DN) and healthy donor were analyzed to test whether the early DN patients can be detected using both blood oxygenation level dependent (BOLD) and diffusion tensor imaging. Methods: This study was approved by the Ethics Committee of ou...

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Veröffentlicht in:British journal of radiology 2020-01, Vol.93 (1105), p.20190562-20190562, Article 20190562
Hauptverfasser: Feng, You-Zhen, Ye, Yao-Jiang, Cheng, Zhong-Yuan, Hu, Jun-Jiao, Zhang, Chuang-Biao, Qian, Long, Lu, Xiao-Hua, Cai, Xiang-Ran
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container_end_page 20190562
container_issue 1105
container_start_page 20190562
container_title British journal of radiology
container_volume 93
creator Feng, You-Zhen
Ye, Yao-Jiang
Cheng, Zhong-Yuan
Hu, Jun-Jiao
Zhang, Chuang-Biao
Qian, Long
Lu, Xiao-Hua
Cai, Xiang-Ran
description Objective: Patients with diabetes mellitus, diabetic nephropathy (DN) and healthy donor were analyzed to test whether the early DN patients can be detected using both blood oxygenation level dependent (BOLD) and diffusion tensor imaging. Methods: This study was approved by the Ethics Committee of our hospital. MR images were acquired on a 3.0-Tesla MR system (Discovery MR750, General Electric, Milwaukee, WI). 30 diabetic patients were divided into NAU (normal to mildly increased albuminuria, N = 15) and MAU (moderately increased albuminuria, N = 15) group based on the absence or presence of microalbuminuria, 15 controls with sex- and age-matched were enrolled in the study. Prior to MRI scan, all participants were instructed to collect their fresh morning urine samples for quantitative measurement of urinary microalbumin and urinary creatinine. Then, the estimations of serum creati nine, serum uric acid, HbAlc and fasting plasma glucose as well as fundus examinations were performed in all subjects. Then, the values of albumin-creatinine ratio (ACR) and estimated glomerular filtration rate were also calculated. All subjects underwent renal diffusion tensor imaging (DTI) and BOLD acquisition after fasting for 4 h. Regions of interest were placed in renal medulla and cortex for evaluating apparent diffusion coefficient (ADC), fractional anisotropy (FA) and R2* values by two experienced radiologists. The consistency between the two observations was estimated using intragroup correlation coefficients. To test differences in ADC, FA and R2* values across the three groups, the data were analyzed using separate one-way ANOVAs. Post-hoc pair wise comparisons were then performed using t-test. To investigate the clinical relevance of imaging parameters in both regions across the three groups, the correlations of values of the ACR/estimated glomerular filtration rate and of the ADC/FA/R2* were calculated. Results: There was a high level of consistency of those ADC, FA and R2* values across the three groups on both renal cortex and medulla measured by the two doctors. The FA value of medulla in MAU group was lower than that in control (p < 0.01). The R2* value of medulla in the NAU group was higher than that in the control (p < 0.01), and the R2* value of medulla in the MAU group was lower than that in the control (p = 0.009) Moreover, the current study revealed a decreasing trend in FA values of the renal medulla from the control group to NAU and MAU groups. Finally, a
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Methods: This study was approved by the Ethics Committee of our hospital. MR images were acquired on a 3.0-Tesla MR system (Discovery MR750, General Electric, Milwaukee, WI). 30 diabetic patients were divided into NAU (normal to mildly increased albuminuria, N = 15) and MAU (moderately increased albuminuria, N = 15) group based on the absence or presence of microalbuminuria, 15 controls with sex- and age-matched were enrolled in the study. Prior to MRI scan, all participants were instructed to collect their fresh morning urine samples for quantitative measurement of urinary microalbumin and urinary creatinine. Then, the estimations of serum creati nine, serum uric acid, HbAlc and fasting plasma glucose as well as fundus examinations were performed in all subjects. Then, the values of albumin-creatinine ratio (ACR) and estimated glomerular filtration rate were also calculated. All subjects underwent renal diffusion tensor imaging (DTI) and BOLD acquisition after fasting for 4 h. Regions of interest were placed in renal medulla and cortex for evaluating apparent diffusion coefficient (ADC), fractional anisotropy (FA) and R2* values by two experienced radiologists. The consistency between the two observations was estimated using intragroup correlation coefficients. To test differences in ADC, FA and R2* values across the three groups, the data were analyzed using separate one-way ANOVAs. Post-hoc pair wise comparisons were then performed using t-test. To investigate the clinical relevance of imaging parameters in both regions across the three groups, the correlations of values of the ACR/estimated glomerular filtration rate and of the ADC/FA/R2* were calculated. Results: There was a high level of consistency of those ADC, FA and R2* values across the three groups on both renal cortex and medulla measured by the two doctors. The FA value of medulla in MAU group was lower than that in control (p &lt; 0.01). The R2* value of medulla in the NAU group was higher than that in the control (p &lt; 0.01), and the R2* value of medulla in the MAU group was lower than that in the control (p = 0.009) Moreover, the current study revealed a decreasing trend in FA values of the renal medulla from the control group to NAU and MAU groups. Finally, a weak negatively correlation between medullary R2* and ACR was found in current study. Conclusion: Medullary R2* value might be a new more sensitive predictor of early DN. Meanwhile, BOLD imaging detected the medullary hypoxia at the simply diabetic stage, while DTI didn't identify the medullary directional diffusion changes at this stage. Based on our assumption mentioned above, it's presumable that BOLD imaging may be more sensitive for assessment of the early renal function changes than DTI. These imaging techniques are more accurate and practical than conventional tests. Advances in knowledge: Non-invasive MRI was used to detect renal function changes at early DN stage.</description><identifier>ISSN: 0007-1285</identifier><identifier>EISSN: 1748-880X</identifier><identifier>DOI: 10.1259/bjr.20190562</identifier><identifier>PMID: 31603347</identifier><language>eng</language><publisher>LONDON: British Inst Radiology</publisher><subject>Anisotropy ; Biomarkers - analysis ; Diabetic Nephropathies - diagnostic imaging ; Diffusion Tensor Imaging ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Kidney Function Tests ; Life Sciences &amp; Biomedicine ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Radiology, Nuclear Medicine &amp; Medical Imaging ; Science &amp; Technology</subject><ispartof>British journal of radiology, 2020-01, Vol.93 (1105), p.20190562-20190562, Article 20190562</ispartof><rights>2020 The Authors. Published by the British Institute of Radiology 2020 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>41</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000502758600015</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c450t-24565852a2e0d6acb1b5a32848bdff720865d90eb58eec2b6017203bc7b058be3</citedby><cites>FETCH-LOGICAL-c450t-24565852a2e0d6acb1b5a32848bdff720865d90eb58eec2b6017203bc7b058be3</cites><orcidid>0000-0002-9707-1096</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27929,27930,28253</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31603347$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Feng, You-Zhen</creatorcontrib><creatorcontrib>Ye, Yao-Jiang</creatorcontrib><creatorcontrib>Cheng, Zhong-Yuan</creatorcontrib><creatorcontrib>Hu, Jun-Jiao</creatorcontrib><creatorcontrib>Zhang, Chuang-Biao</creatorcontrib><creatorcontrib>Qian, Long</creatorcontrib><creatorcontrib>Lu, Xiao-Hua</creatorcontrib><creatorcontrib>Cai, Xiang-Ran</creatorcontrib><title>Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI</title><title>British journal of radiology</title><addtitle>BRIT J RADIOL</addtitle><addtitle>Br J Radiol</addtitle><description>Objective: Patients with diabetes mellitus, diabetic nephropathy (DN) and healthy donor were analyzed to test whether the early DN patients can be detected using both blood oxygenation level dependent (BOLD) and diffusion tensor imaging. Methods: This study was approved by the Ethics Committee of our hospital. MR images were acquired on a 3.0-Tesla MR system (Discovery MR750, General Electric, Milwaukee, WI). 30 diabetic patients were divided into NAU (normal to mildly increased albuminuria, N = 15) and MAU (moderately increased albuminuria, N = 15) group based on the absence or presence of microalbuminuria, 15 controls with sex- and age-matched were enrolled in the study. Prior to MRI scan, all participants were instructed to collect their fresh morning urine samples for quantitative measurement of urinary microalbumin and urinary creatinine. Then, the estimations of serum creati nine, serum uric acid, HbAlc and fasting plasma glucose as well as fundus examinations were performed in all subjects. Then, the values of albumin-creatinine ratio (ACR) and estimated glomerular filtration rate were also calculated. All subjects underwent renal diffusion tensor imaging (DTI) and BOLD acquisition after fasting for 4 h. Regions of interest were placed in renal medulla and cortex for evaluating apparent diffusion coefficient (ADC), fractional anisotropy (FA) and R2* values by two experienced radiologists. The consistency between the two observations was estimated using intragroup correlation coefficients. To test differences in ADC, FA and R2* values across the three groups, the data were analyzed using separate one-way ANOVAs. Post-hoc pair wise comparisons were then performed using t-test. To investigate the clinical relevance of imaging parameters in both regions across the three groups, the correlations of values of the ACR/estimated glomerular filtration rate and of the ADC/FA/R2* were calculated. Results: There was a high level of consistency of those ADC, FA and R2* values across the three groups on both renal cortex and medulla measured by the two doctors. The FA value of medulla in MAU group was lower than that in control (p &lt; 0.01). The R2* value of medulla in the NAU group was higher than that in the control (p &lt; 0.01), and the R2* value of medulla in the MAU group was lower than that in the control (p = 0.009) Moreover, the current study revealed a decreasing trend in FA values of the renal medulla from the control group to NAU and MAU groups. Finally, a weak negatively correlation between medullary R2* and ACR was found in current study. Conclusion: Medullary R2* value might be a new more sensitive predictor of early DN. Meanwhile, BOLD imaging detected the medullary hypoxia at the simply diabetic stage, while DTI didn't identify the medullary directional diffusion changes at this stage. Based on our assumption mentioned above, it's presumable that BOLD imaging may be more sensitive for assessment of the early renal function changes than DTI. These imaging techniques are more accurate and practical than conventional tests. Advances in knowledge: Non-invasive MRI was used to detect renal function changes at early DN stage.</description><subject>Anisotropy</subject><subject>Biomarkers - analysis</subject><subject>Diabetic Nephropathies - diagnostic imaging</subject><subject>Diffusion Tensor Imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Kidney Function Tests</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Radiology, Nuclear Medicine &amp; Medical Imaging</subject><subject>Science &amp; Technology</subject><issn>0007-1285</issn><issn>1748-880X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><recordid>eNqNkc1vEzEQxS0EoqFw44x8RIItY-9613tBgpSPSIFIqEjcLNs727ja2KntBOW_x1XaCG6cbI9_82b0HiEvGVwwLvp35iZecGA9iJY_IjPWNbKSEn49JjMA6CrGpTgjz1K6uXuKHp6Ss5q1UNdNNyOr78FXzu91cnukOiVMaYM-0zBS1HE60JT1NdLBaYPZWepxu45hq_P6QM2BXl4tqPYD_bhaXtJvPxbPyZNRTwlf3J_n5OfnT1fzr9Vy9WUx_7CsbCMgV7wRrZCCa44wtNoaZoSuuWykGcax4yBbMfSARkhEy00LrBRrYzsDQhqsz8n7o-52ZzY42LJy1JPaRrfR8aCCdurfH-_W6jrsVds3EmRXBF7fC8Rwu8OU1cYli9OkPYZdUrwGATUUhwv69ojaGFKKOJ7GMFB3GaiSgXrIoOCv_l7tBD-YXgB5BH6jCWOyDr3FE1ZSEsA7IdtyY2Luss4u-HnY-Vxa3_x_a_0H0jKi7w</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Feng, You-Zhen</creator><creator>Ye, Yao-Jiang</creator><creator>Cheng, Zhong-Yuan</creator><creator>Hu, Jun-Jiao</creator><creator>Zhang, Chuang-Biao</creator><creator>Qian, Long</creator><creator>Lu, Xiao-Hua</creator><creator>Cai, Xiang-Ran</creator><general>British Inst Radiology</general><general>The British Institute of Radiology</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9707-1096</orcidid></search><sort><creationdate>20200101</creationdate><title>Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI</title><author>Feng, You-Zhen ; Ye, Yao-Jiang ; Cheng, Zhong-Yuan ; Hu, Jun-Jiao ; Zhang, Chuang-Biao ; Qian, Long ; Lu, Xiao-Hua ; Cai, Xiang-Ran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-24565852a2e0d6acb1b5a32848bdff720865d90eb58eec2b6017203bc7b058be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anisotropy</topic><topic>Biomarkers - analysis</topic><topic>Diabetic Nephropathies - diagnostic imaging</topic><topic>Diffusion Tensor Imaging</topic><topic>Female</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Kidney Function Tests</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Radiology, Nuclear Medicine &amp; Medical Imaging</topic><topic>Science &amp; Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, You-Zhen</creatorcontrib><creatorcontrib>Ye, Yao-Jiang</creatorcontrib><creatorcontrib>Cheng, Zhong-Yuan</creatorcontrib><creatorcontrib>Hu, Jun-Jiao</creatorcontrib><creatorcontrib>Zhang, Chuang-Biao</creatorcontrib><creatorcontrib>Qian, Long</creatorcontrib><creatorcontrib>Lu, Xiao-Hua</creatorcontrib><creatorcontrib>Cai, Xiang-Ran</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, You-Zhen</au><au>Ye, Yao-Jiang</au><au>Cheng, Zhong-Yuan</au><au>Hu, Jun-Jiao</au><au>Zhang, Chuang-Biao</au><au>Qian, Long</au><au>Lu, Xiao-Hua</au><au>Cai, Xiang-Ran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI</atitle><jtitle>British journal of radiology</jtitle><stitle>BRIT J RADIOL</stitle><addtitle>Br J Radiol</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>93</volume><issue>1105</issue><spage>20190562</spage><epage>20190562</epage><pages>20190562-20190562</pages><artnum>20190562</artnum><issn>0007-1285</issn><eissn>1748-880X</eissn><abstract>Objective: Patients with diabetes mellitus, diabetic nephropathy (DN) and healthy donor were analyzed to test whether the early DN patients can be detected using both blood oxygenation level dependent (BOLD) and diffusion tensor imaging. Methods: This study was approved by the Ethics Committee of our hospital. MR images were acquired on a 3.0-Tesla MR system (Discovery MR750, General Electric, Milwaukee, WI). 30 diabetic patients were divided into NAU (normal to mildly increased albuminuria, N = 15) and MAU (moderately increased albuminuria, N = 15) group based on the absence or presence of microalbuminuria, 15 controls with sex- and age-matched were enrolled in the study. Prior to MRI scan, all participants were instructed to collect their fresh morning urine samples for quantitative measurement of urinary microalbumin and urinary creatinine. Then, the estimations of serum creati nine, serum uric acid, HbAlc and fasting plasma glucose as well as fundus examinations were performed in all subjects. Then, the values of albumin-creatinine ratio (ACR) and estimated glomerular filtration rate were also calculated. All subjects underwent renal diffusion tensor imaging (DTI) and BOLD acquisition after fasting for 4 h. Regions of interest were placed in renal medulla and cortex for evaluating apparent diffusion coefficient (ADC), fractional anisotropy (FA) and R2* values by two experienced radiologists. The consistency between the two observations was estimated using intragroup correlation coefficients. To test differences in ADC, FA and R2* values across the three groups, the data were analyzed using separate one-way ANOVAs. Post-hoc pair wise comparisons were then performed using t-test. To investigate the clinical relevance of imaging parameters in both regions across the three groups, the correlations of values of the ACR/estimated glomerular filtration rate and of the ADC/FA/R2* were calculated. Results: There was a high level of consistency of those ADC, FA and R2* values across the three groups on both renal cortex and medulla measured by the two doctors. The FA value of medulla in MAU group was lower than that in control (p &lt; 0.01). The R2* value of medulla in the NAU group was higher than that in the control (p &lt; 0.01), and the R2* value of medulla in the MAU group was lower than that in the control (p = 0.009) Moreover, the current study revealed a decreasing trend in FA values of the renal medulla from the control group to NAU and MAU groups. Finally, a weak negatively correlation between medullary R2* and ACR was found in current study. Conclusion: Medullary R2* value might be a new more sensitive predictor of early DN. Meanwhile, BOLD imaging detected the medullary hypoxia at the simply diabetic stage, while DTI didn't identify the medullary directional diffusion changes at this stage. Based on our assumption mentioned above, it's presumable that BOLD imaging may be more sensitive for assessment of the early renal function changes than DTI. These imaging techniques are more accurate and practical than conventional tests. Advances in knowledge: Non-invasive MRI was used to detect renal function changes at early DN stage.</abstract><cop>LONDON</cop><pub>British Inst Radiology</pub><pmid>31603347</pmid><doi>10.1259/bjr.20190562</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9707-1096</orcidid><oa>free_for_read</oa></addata></record>
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subjects Anisotropy
Biomarkers - analysis
Diabetic Nephropathies - diagnostic imaging
Diffusion Tensor Imaging
Female
Humans
Image Interpretation, Computer-Assisted
Kidney Function Tests
Life Sciences & Biomedicine
Magnetic Resonance Imaging - methods
Male
Middle Aged
Radiology, Nuclear Medicine & Medical Imaging
Science & Technology
title Non-invasive assessment of early stage diabetic nephropathy by DTI and BOLD MRI
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