Estimation of microvascular perfusion after esophagectomy: a quantitative model of dynamic fluorescence imaging

Haryadi Prasetya, Sanne M. Jansen, Henk A. Marquering, Ton G. van Leeuwen, Suzanne S. Gisbertz, Daniel M. de Bruin, Ed van Bavel

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Most common complications of esophagectomy stem from a perfusion deficiency of the gastric conduit at the anastomosis. Fluorescent tracer imaging allows intraoperative visualization of tissue perfusion. Quantitative assessment of fluorescence dynamics has the potential to identify perfusion deficiency. We developed a perfusion model to analyze the relation between fluorescence dynamics and perfusion deficiency. The model divides the gastric conduit into two well-perfused and two anastomosed sites. Hemodynamics and tracer transport were modeled. We analyzed the value of relative time-to-threshold (RTT) as a predictor of the relative remaining flow (RRF). Intensity thresholds for RTT of 20% to 50% of the maximum fluorescence intensity of the well-perfused site were tested. The relation between RTT and RRF at the anastomosed sites was evaluated over large variations of vascular conductance and volume. The ability of RTT to distinguish between sufficient and impaired perfusion was analyzed using c-statistics. We found that RTT was a valuable estimate for low RRF. The threshold of 20% of the maximum fluorescence intensity provided the best prediction of impaired perfusion on the two anastomosed sites (AUC = 0.89 and 0.86). The presented model showed that for low flows, relative time-to-threshold may be used to estimate perfusion deficiency.
Original languageEnglish
Pages (from-to)1889-1900
JournalMedical and Biological Engineering and Computing
Volume57
Issue number9
DOIs
Publication statusPublished - 1 Sep 2019
Externally publishedYes

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