Scholarlink

Objective <p>Deuterium metabolic imaging (DMI) is an emerging MR technique providing non-invasive insights into glucose metabolism. Reliable concentration estimation depends on knowledge of tissue specific relaxation times. This study reports <i>T</i>₁ and <i>T</i>₂ relaxation time constants of deuterium-labeled water (HDO) and glucose (Glc) from the human liver and kidney at 7T.</p> Materials and methods <p>Twelve healthy volunteers (6f/6&#xa0;m) were examined using <i>k</i>-space-reordered inversion-recovery and spin-echo DMI with non-Cartesian concentric-ring trajectory (CRT) sampling. Seven volunteers underwent oral <sup>2</sup>H-Glc (0.8&#xa0;g/kg body weight) administration. Data were averaged over organ-specific masks before spectral fitting. One volunteer was measured after oral D₂O (0.5&#xa0;ml/kg body weight) administration.</p> Results <p>Faster longitudinal relaxation but similar transversal relaxation were observed for <sup>2</sup>H-labeled Glc in the liver compared to kidney tissue (<i>T</i>₁<sup>liver/kidney</sup> = 60 ± 4&#xa0;ms/85 ± 18&#xa0;ms, <i>p</i> = 0.016; <i>T</i>₂<sup>liver/kidney</sup> = 31 ± 6&#xa0;ms/35 ± 2&#xa0;ms, <i>p</i> = 0.283). HDO exhibited significantly shorter liver relaxation times (<i>T</i><sub>1</sub><sup>liver/kidney</sup> = 218 ± 24&#xa0;ms/324 ± 34&#xa0;ms, <i>p</i> &lt; 0.001; <i>T</i>₂<sup>liver/kidney</sup> = 28 ± 4&#xa0;ms/39 ± 6&#xa0;ms, <i>p</i> &lt; 0.001). D₂O loading improved voxelwise SNR enabling renal <i>T</i>₁/<i>T</i>₂ mapping of HDO.</p> Discussion <p>Hepatic and renal glucose homeostasis is often impaired in several pathophysiological conditions such as tumors, diabetes and metabolic dysfunction-associated steatotic liver disease. Using organ-specific <sup>2</sup>H relaxation times increases the accuracy of concentration estimation and can help to improve the understanding of underlying metabolic processes in future abdominal DMI studies, which can help to push abdominal DMI towards clinical application.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessment of T1 and T2 relaxation times of deuterium (2H) labeled resonances in the human liver and kidney using k-space reordered 3D concentric ring trajectory sampling at 7T

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月16日

查看全文
  • Viola Bader,
  • Bernhard Strasser,
  • Lukas Hingerl,
  • Johannes J. Kovarik,
  • Sabina Frese,
  • Lorenz Pfleger,
  • Anna Duguid,
  • Aaron Osburg,
  • Martin Krššák,
  • Thomas Scherer,
  • Wolfgang Bogner,
  • Fabian Niess

摘要

Objective

Deuterium metabolic imaging (DMI) is an emerging MR technique providing non-invasive insights into glucose metabolism. Reliable concentration estimation depends on knowledge of tissue specific relaxation times. This study reports T₁ and T₂ relaxation time constants of deuterium-labeled water (HDO) and glucose (Glc) from the human liver and kidney at 7T.

Materials and methods

Twelve healthy volunteers (6f/6 m) were examined using k-space-reordered inversion-recovery and spin-echo DMI with non-Cartesian concentric-ring trajectory (CRT) sampling. Seven volunteers underwent oral 2H-Glc (0.8 g/kg body weight) administration. Data were averaged over organ-specific masks before spectral fitting. One volunteer was measured after oral D₂O (0.5 ml/kg body weight) administration.

Results

Faster longitudinal relaxation but similar transversal relaxation were observed for 2H-labeled Glc in the liver compared to kidney tissue (T₁liver/kidney = 60 ± 4 ms/85 ± 18 ms, p = 0.016; T₂liver/kidney = 31 ± 6 ms/35 ± 2 ms, p = 0.283). HDO exhibited significantly shorter liver relaxation times (T1liver/kidney = 218 ± 24 ms/324 ± 34 ms, p < 0.001; T₂liver/kidney = 28 ± 4 ms/39 ± 6 ms, p < 0.001). D₂O loading improved voxelwise SNR enabling renal T₁/T₂ mapping of HDO.

Discussion

Hepatic and renal glucose homeostasis is often impaired in several pathophysiological conditions such as tumors, diabetes and metabolic dysfunction-associated steatotic liver disease. Using organ-specific 2H relaxation times increases the accuracy of concentration estimation and can help to improve the understanding of underlying metabolic processes in future abdominal DMI studies, which can help to push abdominal DMI towards clinical application.