Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging
Background: Noninvasive and early evaluation of hemodynamic conditions in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN) is crucial for assessing disease progression. This study aimed to investigate early hemodynamic changes in patients with T2DM and evaluated the effica...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | EngMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S295048992400054X |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1823864072684175360 |
---|---|
author | Di Wu Jiachen Ji Yuancheng Wang Shujun Zhang Hong Ge Mingzhu Fu Yunduo Li Shenghong Ju Rui Li |
author_facet | Di Wu Jiachen Ji Yuancheng Wang Shujun Zhang Hong Ge Mingzhu Fu Yunduo Li Shenghong Ju Rui Li |
author_sort | Di Wu |
collection | DOAJ |
description | Background: Noninvasive and early evaluation of hemodynamic conditions in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN) is crucial for assessing disease progression. This study aimed to investigate early hemodynamic changes in patients with T2DM and evaluated the efficacy of Four-Dimensional Flow Magnetic Resonance Imaging (4D Flow MRI) in detecting and diagnosing T2DM and DN. Methods: The abdominal 4D Flow MRI data from 23 patients with T2DM and 23 healthy volunteers were collected and validated for subsequent analysis. The data were preprocessed, and blood flow visualization and quantitative hemodynamic measurements in the renal and splenic arteries were performed by experienced reviewers. The key parameters measured included the average velocity (Vavg), the net volume of blood flow in one cardiac cycle (Flowcyc), and the resistance index (RI). The reproducibility of these measurements was assessed with Bland-Altman analysis, differences between groups were evaluated using t-tests, and their diagnostic utility for T2DM and DN was analyzed using ROC curves. Results: This study confirmed the high reproducibility of 4D Flow MRI for measuring Vavg and Flowcyc, with the RI showing higher variability. T2DM patients exhibited significantly lower flow and higher resistance in the renal and splenic arteries than controls, indicating vascular changes. Receiver operating characteristic (ROC) analysis highlighted the diagnostic accuracy of specific hemodynamic parameters, with right renal artery RI and left renal artery flow being particularly effective for diagnosing T2DM and DN, respectively. Conclusions: 4D Flow MRI could be a noninvasive and quantitative method to comprehensively depict hemodynamics and a possible evaluation method for T2DM and DN. |
format | Article |
id | doaj-art-47b1d51d82754fd79ac49e3974600a98 |
institution | Kabale University |
issn | 2950-4899 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | EngMedicine |
spelling | doaj-art-47b1d51d82754fd79ac49e3974600a982025-02-09T05:02:05ZengElsevierEngMedicine2950-48992025-03-0121100054Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imagingDi Wu0Jiachen Ji1Yuancheng Wang2Shujun Zhang3Hong Ge4Mingzhu Fu5Yunduo Li6Shenghong Ju7Rui Li8Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, ChinaDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, ChinaCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, ChinaDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China; Corresponding author.Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China; Corresponding author.Background: Noninvasive and early evaluation of hemodynamic conditions in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN) is crucial for assessing disease progression. This study aimed to investigate early hemodynamic changes in patients with T2DM and evaluated the efficacy of Four-Dimensional Flow Magnetic Resonance Imaging (4D Flow MRI) in detecting and diagnosing T2DM and DN. Methods: The abdominal 4D Flow MRI data from 23 patients with T2DM and 23 healthy volunteers were collected and validated for subsequent analysis. The data were preprocessed, and blood flow visualization and quantitative hemodynamic measurements in the renal and splenic arteries were performed by experienced reviewers. The key parameters measured included the average velocity (Vavg), the net volume of blood flow in one cardiac cycle (Flowcyc), and the resistance index (RI). The reproducibility of these measurements was assessed with Bland-Altman analysis, differences between groups were evaluated using t-tests, and their diagnostic utility for T2DM and DN was analyzed using ROC curves. Results: This study confirmed the high reproducibility of 4D Flow MRI for measuring Vavg and Flowcyc, with the RI showing higher variability. T2DM patients exhibited significantly lower flow and higher resistance in the renal and splenic arteries than controls, indicating vascular changes. Receiver operating characteristic (ROC) analysis highlighted the diagnostic accuracy of specific hemodynamic parameters, with right renal artery RI and left renal artery flow being particularly effective for diagnosing T2DM and DN, respectively. Conclusions: 4D Flow MRI could be a noninvasive and quantitative method to comprehensively depict hemodynamics and a possible evaluation method for T2DM and DN.http://www.sciencedirect.com/science/article/pii/S295048992400054X4D Flow MRIType2 diabetes mellitusHemodynamic |
spellingShingle | Di Wu Jiachen Ji Yuancheng Wang Shujun Zhang Hong Ge Mingzhu Fu Yunduo Li Shenghong Ju Rui Li Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging EngMedicine 4D Flow MRI Type2 diabetes mellitus Hemodynamic |
title | Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging |
title_full | Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging |
title_fullStr | Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging |
title_full_unstemmed | Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging |
title_short | Noninvasive hemodynamic assessment of type 2 diabetes mellitus using four-dimensional flow magnetic resonance imaging |
title_sort | noninvasive hemodynamic assessment of type 2 diabetes mellitus using four dimensional flow magnetic resonance imaging |
topic | 4D Flow MRI Type2 diabetes mellitus Hemodynamic |
url | http://www.sciencedirect.com/science/article/pii/S295048992400054X |
work_keys_str_mv | AT diwu noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT jiachenji noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT yuanchengwang noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT shujunzhang noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT hongge noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT mingzhufu noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT yunduoli noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT shenghongju noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging AT ruili noninvasivehemodynamicassessmentoftype2diabetesmellitususingfourdimensionalflowmagneticresonanceimaging |