Intraoperative Perfusion Assessment in Enhanced Reality Using Quantitative Optical Imaging: An Experimental Study in a Pancreatic Partial Ischemia Model

Diagnostics

卷:11

Yuko Kitagawa¹  Yuta Abe¹  Andrea Baiocchini²  Manuel Barberio³  Takeshi Urade³  Pietro Mascagni³  Raoul Pop³  Eric Felli³  Anne-Laure Charles⁴  Bernard Geny⁴  Michele Diana⁵  Jacques Marescaux⁵  Taiga Wakabayashi⁵  Emilie Seyller⁵  Margherita Pizzicannella⁵ 

[1] Department of Surgery, Keio University School of Medicine, Tokyo 160-8582, Japan;

[2] Department of Surgical Pathology, San Camillo Hospital, 00152 Rome, Italy;

[3] Institut Hospitalo-Universitaire (IHU), Institute for Minimally Invasive Hybrid Image-Guided Surgery, University of Strasbourg, 67091 Strasbourg, France;

[4] Institute of Physiology, UR3072 ‘Mitochondria, Oxidative Stress and Muscle Protection’, Translational Medicine Federation, Faculty of Medicine, University of Strasbourg, 67000 Strasbourg, France;

[5] Research Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France;

关键词: optical imaging;    fluorescence imaging;    hyperspectral imaging;    pancreatectomy;   

DOI  :  10.3390/diagnostics11010093

来源: DOAJ

【 摘 要 】

To reduce the risk of pancreatic fistula after pancreatectomy, a satisfactory blood flow at the pancreatic stump is considered crucial. Our group has developed and validated a real-time computational imaging analysis of tissue perfusion, using fluorescence imaging, the fluorescence-based enhanced reality (FLER). Hyperspectral imaging (HSI) is another emerging technology, which provides tissue-specific spectral signatures, allowing for perfusion quantification. Both imaging modalities were employed to estimate perfusion in a porcine model of partial pancreatic ischemia. Perfusion quantification was assessed using the metrics of both imaging modalities (slope of the time to reach maximum fluorescence intensity and tissue oxygen saturation (StO2), for FLER and HSI, respectively). We found that the HSI-StO2 and the FLER slope were statistically correlated using the Spearman analysis (R = 0.697; p = 0.013). Local capillary lactate values were statistically correlated to the HSI-StO2 and to the FLER slope (R = −0.88; p < 0.001 and R = −0.608; p = 0.0074). HSI-based and FLER-based lactate prediction models had statistically similar predictive abilities (p = 0.112). Both modalities are promising to assess real-time pancreatic perfusion. Clinical translation in human pancreatic surgery is currently underway.

【 授权许可】

Unknown