Contrast-enhanced computed tomography for ex vivo assessment of human kidneys: A proof-of-concept study

被引:0
|
作者
Feizi, Alborz [1 ,2 ]
DiRito, Jenna R. [1 ]
Richfield, Owen [2 ]
Stendahl, John C. [3 ,4 ]
Harris, Matthew [1 ]
Spindler, Susann [1 ]
Edwards, Christopher M. [1 ]
Lysyy, Taras [1 ]
Lee, Shin Rong [1 ,3 ]
Boutagy, Nabil E. [3 ,4 ]
Feher, Attila [3 ,4 ]
Yoo, Peter [1 ]
Hosgood, Sarah A. [5 ]
Mulligan, David C. [1 ]
Nicholson, Michael L. [5 ]
Sinusas, Albert J. [2 ,3 ,4 ,6 ]
Haakinson, Danielle J. [1 ]
Tietjen, Gregory T. [1 ,2 ]
机构
[1] Yale Sch Med, Dept Surg, New Haven, CT 06510 USA
[2] Yale Univ, Dept Biomed Engn, New Haven, CT USA
[3] Yale Translat Res Imaging Ctr, New Haven, CT USA
[4] Yale Sch Med, Dept Med Cardiol, New Haven, CT USA
[5] Univ Cambridge, Dept Surg, Cambridge, England
[6] Yale Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT USA
基金
美国国家卫生研究院;
关键词
computed tomography; ex vivo perfusion; kidney analysis; NORMOTHERMIC MACHINE PERFUSION; TRANSPLANTATION; DONATION;
D O I
10.1111/aor.14840
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
BackgroundEx vivo perfusion of transplant-declined human organs has emerged as a promising platform to study the response of an organ to novel therapeutic strategies. However, to fully realize the capability of this platform for performing translational research in human organ pathophysiology, there is a need for robust assays to assess organ function and disease. State-of-the-art research methods rely on analyses of biopsies taken during perfusion, which both damages the organ and only provides localized information. Developing non-invasive, whole organ methods of assessment is critical to the further development of this research platform.MethodsWe use ex vivo cold infusion scanning (EXCIS) with contrast-enhanced computed tomography (CT) to quantify perfusion in kidneys preserved ex vivo. EXCIS-CT computes three complementary metrics for whole organ assessment: a dynamic assessment of contrast filling, a measure of vascular network anatomical structure, and a static assessment of perfusion heterogeneity.ResultsThese metrics were applied to a series of six transplant-declined human kidneys, which demonstrated a range of anatomies and perfusion. Lastly, two transplant-declined human kidneys were imaged before and after a 1-h period of ex vivo normothermic perfusion (NMP). We found variable responses to NMP, with one kidney maintaining the vascular network and hemodynamics and the other showing significant changes in vessel size and spatial perfusion profile.ConclusionsEXCIS-CT provides metrics that can be used to characterize whole organ perfusion and vascular function. This study demonstrates the potential of contrast-enhanced computed tomography (CT) for assessing perfusion and vascular structure in ex vivo kidneys, providing valuable insights for preclinical research and advancing organ evaluation techniques.image
引用
收藏
页码:1536 / 1548
页数:13
相关论文
共 50 条
  • [41] Assessment of Abdominal Aorta Diameter on Contrast-enhanced Computed Tomography: A MDCT-based Observational Study
    Naik, Rakhee Shashikant
    Raghuraj, U.
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2023, -17 (05) : TC21 - TC23
  • [42] Contrast-Enhanced Ultrasound in Small Intestinal Ischemia Proof of Concept
    Gummadi, Sriharsha
    Koenig, George
    Wessner, Corinne E.
    Machado, Priscilla
    Stem, Jonathan
    Forsberg, Flemming
    Liu, Ji-Bin
    Lyshchik, Andrej
    O'Kane, Patrick
    Eisenbrey, John R.
    JOURNAL OF ULTRASOUND IN MEDICINE, 2022, 41 (04) : 835 - 843
  • [43] Using ex vivo bioengineered lungs to model pathologies and screening therapeutics: A proof-of-concept study
    Ahmadipour, Mohammadali
    Prado, Jorge Castilo
    Hakak-Zargar, Benyamin
    Mahmood, Malik Quasir
    Rogers, Ian M.
    BIOTECHNOLOGY AND BIOENGINEERING, 2024, 121 (10) : 3020 - 3033
  • [44] Micro-Scale Distribution of CA4+ in Ex vivo Human Articular Cartilage Detected with Contrast-Enhanced Micro-Computed Tomography Imaging
    Karhula, Sakari S.
    Finnila, Mikko A.
    Freedman, Jonathan D.
    Kauppinen, Sami
    Valkealahti, Maarit
    Lehenkari, Petri
    Pritzker, Kenneth P. H.
    Nieminen, Heikki J.
    Snyder, Brian D.
    Grinstaff, Mark W.
    Saarakkala, Simo
    FRONTIERS IN PHYSICS, 2017, 5
  • [45] Renal cortex microperfusion evaluated by laser speckle contrast imaging in an ex vivo perfused kidney model-A proof-of-concept study
    Arildsen, Maibritt Meldgaard
    Thrane, Lars
    Staulund, Jesper
    Eijken, Marco
    Jespersen, Bente
    Postnov, Dmitry
    Al-Mashhadi, Rozh H.
    Pedersen, Michael
    ARTIFICIAL ORGANS, 2024, 48 (04) : 347 - 355
  • [46] GENDER DISPARITIES IN AORTIC STENOSIS: AN OPTIMISED ASSESSMENT USING CONTRAST-ENHANCED COMPUTED TOMOGRAPHY
    Cartlidge, Timothy R. G.
    Pawade, Tania A.
    Doris, Mhairi K.
    Kwiecinski, Jacek
    White, Audrey C.
    Gray, Calum D.
    Adamson, Philip A.
    Newby, David E.
    Dweck, Marc R.
    HEART, 2018, 104 : A2 - A3
  • [47] Computed Tomography Imaging for Monitoring of Marburg Virus Disease: a Nonhuman Primate Proof-Of-Concept Study
    Sword, Jennifer
    Lee, Ji Hyun
    Castro, Marcelo A. A.
    Solomon, Jeffrey
    Aiosa, Nina
    Reza, Syed M. S.
    Chu, Winston T. T.
    Johnson, Joshua C. C.
    Bartos, Christopher
    Cooper, Kurt
    Jahrling, Peter B. B.
    Johnson, Reed F. F.
    Calcagno, Claudia
    Crozier, Ian
    Kuhn, Jens H. H.
    Hensley, Lisa E. E.
    Feuerstein, Irwin M. M.
    Mani, Venkatesh
    MICROBIOLOGY SPECTRUM, 2023, 11 (03)
  • [48] ASSESSMENT OF SAPHENOUS-VEIN GRAFT PATENCY BY CONTRAST-ENHANCED COMPUTED-TOMOGRAPHY
    ULLYOT, DJ
    TURLEY, K
    MCKAY, CR
    BRUNDAGE, BH
    LIPTON, MJ
    EBERT, PA
    JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 1982, 83 (04): : 512 - 518
  • [49] Adaptive tight frame based medical image reconstruction: a proof-of-concept study for computed tomography
    Zhou, Weifeng
    Cai, Jian-Feng
    Gao, Hao
    INVERSE PROBLEMS, 2013, 29 (12)
  • [50] Late Enhancement Computed Tomography for Left Atrial Fibrosis Imaging: A Pilot "Proof-of-Concept" Study
    Lacaita, Pietro G.
    Beyer, Christoph
    Plank, Fabian
    Stuehlinger, Markus
    Feuchtner, Gudrun M.
    DIAGNOSTICS, 2024, 14 (23)