Hyperspectral imaging in living and deceased donor kidney transplantation

被引:2
作者
Wrigge, Rasmus [1 ]
Sucher, Robert [1 ,2 ]
Haak, Fabian [1 ]
Meyer, Hans-Jonas [3 ]
Unruh, Julia [1 ]
Hau, Hans-Michael [1 ,2 ]
Mehdorn, Matthias [1 ]
Tautenhahn, Hans-Michael [1 ]
Seehofer, Daniel [1 ]
Scheuermann, Uwe [1 ]
机构
[1] Univ Hosp Leipzig, Dept Visceral Transplantat Vasc & Thorac Surg, Liebigstr 20, D-04103 Leipzig, Germany
[2] Med Univ Graz, Dept Gen Visceral & Transplant Surg, Graz, Austria
[3] Univ Hosp Leipzig, Dept Diagnost & Intervent Radiol, Leipzig, Germany
关键词
Hyperspectral imaging; Living donor; Deceased donor; Kidney transplantation; Delayed graft function; Outcome; DELAYED GRAFT FUNCTION; ISCHEMIA-REPERFUSION INJURY; ALLOGRAFT;
D O I
10.1186/s12880-025-01576-6
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective and background: Hyperspectral imaging (HSI) is an innovative, noninvasive technique that assesses tissue and organ perfusion and oxygenation. This study aimed to evaluate HSI as a predictive tool for early postoperative graft function and long-term outcomes in living donor (LD) and deceased donor (DD) kidney transplantation (KT). Patients and methods: HSI of kidney allograft parenchyma from 19 LD and 51 DD kidneys was obtained intraoperatively 15 minutes after reperfusion. Using the dedicated HSI TIVITA Tissue System, indices of tissue oxygenation (StO(2)), perfusion (near-infrared [NIR]), organ hemoglobin (OHI), and tissue water (TWI) were calculated and then analyzed retrospectively. Results: LD kidneys had superior intraoperative HSI values of StO(2) (0.78 +/- 0.13 versus 0.63 +/- 0.24; P = 0.001) and NIR (0.67 +/- 0.10 versus 0.56 +/- 0.27; P = 0.016) compared to DD kidneys. Delayed graft function (DGF) was observed in 18 cases (26%), in which intraoperative HSI showed significantly lower values of StO(2) (0.78 +/- 0.07 versus 0.35 +/- 0.21; P < 0.001) and NIR (0.67 +/- 0.11 versus 0.34 +/- 0.32; P < 0.001). Receiver operating characteristic curve analysis demonstrated an excellent predictive value of HSI for the development of DGF, with an area under the curve of 0.967 for StO(2) and 0.801 for NIR. Kidney grafts with low StO(2) values (cut-off point 0.6) showed reduced renal function with a low glomerular filtration rate and elevated urea levels in the first two weeks after KT. Three years after KT, graft survival was also inferior in the group with initially low StO(2) values. Conclusion: HSI is a useful tool for predicting DGF in living and deceased KT and may assist in estimating short-term allograft function. However, further studies with expanded cohorts are needed to evaluate the association between HSI and long-term graft outcomes.
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页数:11
相关论文
共 36 条
[1]   Intraoperative bowel perfusion quantification with hyperspectral imaging: a guidance tool for precision colorectal surgery [J].
Barberio, Manuel ;
Lapergola, Alfonso ;
Benedicenti, Sara ;
Mita, Mariateresa ;
Barbieri, Vittoria ;
Rubichi, Francesco ;
Altamura, Amedeo ;
Giaracuni, Gloria ;
Tamburini, Emiliano ;
Diana, Michele ;
Pizzicannella, Margherita ;
Viola, Massimo Giuseppe .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2022, 36 (11) :8520-8532
[2]   Resistive index cannot predict transplant kidney function [J].
Chiang, YJ ;
Chu, SH ;
Chuang, CK ;
Chen, HW ;
Chou, CC ;
Chen, Y ;
Wu, CT .
TRANSPLANTATION PROCEEDINGS, 2003, 35 (01) :94-95
[3]   The intrarenal vascular resistance parameters measured by duplex Doppler ultrasound shortly after kidney transplantation in patients with immediate, slow, and delayed graft function [J].
Chudek, J ;
Kolonko, A ;
Król, R ;
Ziaja, J ;
Cierpka, L ;
Wiecek, A .
TRANSPLANTATION PROCEEDINGS, 2006, 38 (01) :42-45
[4]   Quantitative Assessment of Intraoperative Laser Fluorescence Angiography With Indocyanine Green Predicts Early Graft Function After Kidney Transplantation [J].
Gerken, Andreas L. H. ;
Nowak, Kai ;
Meyer, Alexander ;
Weiss, Christel ;
Krueger, Bernd ;
Nawroth, Nina ;
Karampinis, Ioannis ;
Heller, Katharina ;
Apel, Hendrik ;
Reissfelder, Christoph ;
Schwenke, Kay ;
Keese, Michael ;
Lang, Werner ;
Rother, Ulrich .
ANNALS OF SURGERY, 2022, 276 (02) :391-397
[5]   Resistance Index Determination in the Pre and Post Kidney Transplantation Time Points in Graft Dysfunction Diagnosis [J].
Gomez, V. ;
Orosa, A. ;
Rivera, M. ;
Diez-Nicolas, V. ;
Hevia, V. ;
Alvarez, S. ;
Carracedo, D. ;
Ramos, E. ;
Burgos, F. J. .
TRANSPLANTATION PROCEEDINGS, 2015, 47 (01) :34-37
[6]   Hyperspectral imaging in perfusion and wound diagnostics - methods and algorithms for the determination of tissue parameters [J].
Holmer, Amadeus ;
Marotz, Joerg ;
Wahl, Philip ;
Dau, Michael ;
Kaemmerer, Peer W. .
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2018, 63 (05) :547-556
[7]   Oxygenation and perfusion monitoring with a hyperspectral camera system for chemical based tissue analysis of skin and organs [J].
Holmer, Amadeus ;
Tetschke, Florian ;
Marotz, Joerg ;
Malberg, Hagen ;
Markgraf, Wenke ;
Thiele, Christine ;
Kulcke, Axel .
PHYSIOLOGICAL MEASUREMENT, 2016, 37 (11) :2064-2078
[8]   Indocyanine Green Angiography for Quality Assessment of the Kidney During Transplantation: An Outcome Predictor Prospective Study [J].
Ietto, Giuseppe ;
Zani, Elia ;
Benedetti, Fabio ;
Parise, Cristiano ;
Iori, Valentina ;
Masci, Federica ;
Franchi, Caterina ;
Ferri, Enrico ;
Liepa, Linda ;
Brusa, Davide ;
Oltolina, Mauro ;
Baglieri, Cristiano ;
Ripamonti, Marta ;
Guzzetti, Luca ;
Dalla Gasperina, Daniela ;
Ambrosini, Andrea ;
Amico, Francesco ;
Di Saverio, Salomone ;
Latham, Lorenzo ;
Iovino, Domenico ;
Soldini, Gabriele ;
Tozzi, Matteo ;
Carcano, Giulio .
TRANSPLANTATION PROCEEDINGS, 2021, 53 (06) :1892-1896
[9]   A Risk Prediction Model for Delayed Graft Function in the Current Era of Deceased Donor Renal Transplantation [J].
Irish, W. D. ;
Ilsley, J. N. ;
Schnitzler, M. A. ;
Feng, S. ;
Brennan, D. C. .
AMERICAN JOURNAL OF TRANSPLANTATION, 2010, 10 (10) :2279-2286
[10]   Financial impact of delayed graft function in kidney transplantation [J].
Kim, Daniel W. ;
Tsapepas, Demetra ;
King, Kristen L. ;
Ali Husain, S. ;
Corvino, Frank A. ;
Dillon, Allison ;
Wang, Weiying ;
Mayne, Tracy J. ;
Mohan, Sumit .
CLINICAL TRANSPLANTATION, 2020, 34 (10)