| Literature DB >> 35600102 |
Gyung Mo Son1,2,3, Hong-Min Ahn1, In Young Lee3, Sun Min Lee4, Sang-Ho Park5, Kwang-Ryul Baek5.
Abstract
Anastomotic complications occur after 5% to 20% of operations for rectosigmoid colon cancer. The intestinal perfusion status at the anastomotic site is an important modifiable risk factor, and surgeons should carefully evaluate and optimize the perfusion at the intended site of anastomosis. Indocyanine green (ICG) angiography is a simple noninvasive perfusion assessment modality. The use of ICG angiography is rapidly spreading in the field of colorectal surgery. However, there is debate on its contribution to reducing anastomotic complications. In this review, we discuss the clinical utility and the standardization of ICG angiography. ICG angiography can unequivocally reveal unfavorable perfusion zones and provide quantitative parameters to predict the risk of hypoperfusion-related anastomotic complications. Many studies have demonstrated the clinical utility of ICG angiography for reducing anastomotic complications. Recently, two multicenter randomized clinical trials reported that ICG angiography did not significantly reduce the incidence of anastomotic leakage. Most previous studies have been small-scale single-center studies, and there is no standardized ICG angiography protocol to date. Additionally, ICG angiography evaluations have mostly relied on surgeons' subjective judgment. For these reasons, it is necessary to establish a standardized ICG angiography protocol and develop a quantitative analysis protocol for the objective assessment. In conclusion, ICG angiography could be useful for detecting poorly perfused colorectal segments to prevent anastomotic leakage after colorectal surgery. An optimized and standardized ICG angiography protocol should be established to improve the reliability of perfusion assessments. In the future, artificial intelligence-based quantitative analyses could be used to easily assess colonic perfusion status.Entities:
Keywords: Anastomotic leak; Angiography; Colorectal surgery; Indocyanine green; Quantitative light-induced fluorescence
Year: 2021 PMID: 35600102 PMCID: PMC8977386 DOI: 10.7602/jmis.2021.24.3.113
Source DB: PubMed Journal: J Minim Invasive Surg
Characteristics of studies and ICG angiography to reduce anastomotic leak
| Study | Year | Study design | No. | Type of surgery | ICG dose | NIR light source | NIR system | Quantitative parameter | Transection line change (%) | Anastomotic leak (%) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jafari et al. [ | 2021 | Multicenter RCT (PILLAR III) | 178/169 | Laparoscopic LAR | 5–10 mg | Laser | PINPOINT (Stryker)/SPY Elite (LifeCell) | NA | NA | 9.0/9.6 | 0.37 |
| De Nardi et al. [ | 2020 | Multicenter RCT | 118/122 | Laparoscopic AR or LAR | 0.3 mg/kg | Xenon | D-light P (Karl Storz) | NA | 11 | 4.9/8.5 | NS |
| Park et al. [ | 2020 | Prospective study | 65/- | Laparoscopic LAR | 0.2 mg/kg | Laser | 1588 AIM (Stryker) | ICG pattern, T1/2, TR, slope | 10.3 | 4/- | NA |
| Alekseev et al. [ | 2020 | Single-center RCT | 187/190 | Laparoscopic AR or LAR | 0.2 mg/kg | Xenon | D-light P (Karl Storz) | NA | 19.3 | 9.1/16.3 | 0.04 |
| Wojcik et al. [ | 2020 | Prospective case-matched study | 42/42 | Laparoscopic AR or LAR | 0.1 mg/kg | Laser | FLUOBEAM (Fluoptics)/PINPOINT (Stryker) | NA | 10.9 | 2.4/16.7 | 0.026 |
| Morales-Conde et al. [ | 2020 | Prospective study | 192/- | Colorectal Surgery | 15 mg | Xenon | IMAGE1 S (Karl Storz)/1588 AIM (Stryker) | NA | 18.2 | 2.6/- | NS |
| Watanabe et al. [ | 2020 | Multicenter PSM cohort study | 211/211 | Laparoscopic LAR | 0.25 mg/kg | Xenon | D-light P (Karl Storz)/1588 AIM (Stryker) | NA | 5.7 | 4.7/10.4 | 0.042 |
| Benčurik et al. [ | 2020 | Prospective study | 100/100 | Laparoscopic or robotic LAR | 0.2 mg/kg | Xenon | SPIES (Karl Storz)/Firefly (Intuitive) | NA | 15 | 9/19 | 0.042 |
| Bonadio et al. [ | 2020 | Prospective study | 33/33 | Laparoscopic LAR | 0.2 mg/kg | Xenon | SPIES (Karl Storz) | NA | 18.2 | 6/21.2 | 0.15 |
| Hasegawa et al. [ | 2020 | Retrospective, cohort study | 141/279 | Laparoscopic LAR | 5 mg | Xenon | IMAGE1 S (Karl Storz) | NA | NA | 2.8/13.6 | 0.001 |
| Otero-Piñeiro et al. [ | 2020 | Retrospective comparative study | 80/204 | TaTME | 2.5 mg/mL | Laser | PINPOINT (Novadaq) | NA | 28.7 | 2.5/11.3 | 0.02 |
| Ishii et al. [ | 2020 | Retrospective study | 87/87 | Laparoscopic and Robotic LAR | 5 mg | Laser | 1588 AIM (Stryker) | NA | 3.1 | 3.4/11.5 | 0.044 |
| Son et al. [ | 2019 | Prospective study | 86/- | Laparoscopic LAR | 0.25 mg/kg | Xenon | IMAGE1 S (Karl Storz) | Tmax, T1/2, TR, slope | 8.1 | 4.7/- | NA |
| Wada et al. [ | 2019 | Retrospective PSM study | 34/34 | Laparoscopic LAR | 5 mg | Xenon | PDE (Hamamatsu Photonics) | NA | 27.1 | 8.8/14.7 | 0.71 |
| Ogino et al. [ | 2019 | Prospective study | 74/- | Colorectal Surgery | 5 mg | Xenon | PDE (Hamamatsu Photonics) | NA | 8.1 | 1.4/- | NA |
| Chang et al. [ | 2019 | Prospective, observational study | 110/- | Colorectal Surgery | 5 mg | Laser | SPY Elite (Novadaq) | NA | 30.9 | 5.5/- | NA |
| van den Bos et al. [ | 2019 | Clinical pilot study | 30/- | Colorectal surgery | 0.2 mg/kg | Xenon | D-light P (Karl Storz)/Firefly (Intuitive) | Target-to background ratio | 20 | 16/- | NA |
| Ris et al. [ | 2018 | Multicenter phase II trial | 504/1,173 | Colorectal surgery | 7.5 mg | Laser | PINPOINT (Novadaq) | NA | 5.8 | 2.4/5.8 | 0.009 |
| Mizrahi et al. [ | 2018 | Comparative cohort study | 30/30 | Laparoscopic LAR | 0.1–0.3 mg/kg | Laser | PINPOINT (Novadaq) | NA | 13.3 | 0/6.7 | 0.492 |
| Kim et al. [ | 2017 | Retrospective study | 310/347 | Robotic LAR | 10 mg | Laser | Firefly (Intuitive) | NA | 15.5 | 0.6/5.2 | NA |
| Boni et al. [ | 2017 | Case-matched study | 42/38 | Laparoscopic LAR | 0.2 mg/kg | Xenon | IMAGE1 (Karl Storz) | NA | 4.7 | 0/5.3 | NS |
| Jafari et al. [ | 2015 | Multicenter phase II (PILLAR II) | 139/- | Laparoscopic LAR | 3.75–7.5 mg | Laser | PINPOINT (Novadaq) | NA | 7.9 | 1.4/- | NA |
| Watanabe et al. [ | 2015 | Prospective study | 119/- | Colorectal surgery | 0.5 mg/kg | Xenon | Olympus NIR camera (Olympus) | NA | NA | 5.9/- | NA |
| Kin et al. [ | 2015 | Retrospective study | 173/173 | Colorectal surgery | 3 mg | Laser | SPY imaging system | NA | 4.6 | 7.5/6.4 | 0.67 |
| Kim et al. [ | 2015 | Prospective cohort study | 123/313 | Robotic LAR | 10 mg | Laser | Firefly (Intuitive) | NA | 10.6 | 0.8/5.4 | 0.031 |
| Ris et al. [ | 2014 | Prospective study | 30/- | Colorectal surgery | 2.5 mg/kg | Laser | PINPOINT (Novadaq) | NA | 10 | 0/- | NA |
| Jafari et al. [ | 2013 | Retrospective case-control study | 16/22 | Robotic LAR | 6–8 mg | Laser | Firefly (Intuitive) | NA | 19 | 6.2/18.2 | NA |
| Kudszus et al. [ | 2010 | Retrospective study | 201/201 | Laparoscopic LAR | 0.2–0.5 mg/kg | Laser | IC view (Pulsion) | NA | 16.4 | 3.5/7.5 | NA |
ICG, indocyanine green; NIR, near-infrared; RCT, randomized clinical trial; PSM, propensity score matching; AR, anterior resection; LAR, low anterior resection; TaTME, transanal total mesorectal excision; TR, perfusion time ratio; NA, non-accessible; NS, non-specific.
Stryker, Kalamazoo, MI, USA; LifeCell, Branchburg, NJ, USA; Karl Storz, Tuttlingen, Germany; Fluoptics, Grenoble, France; Intuitive, Sunnyvale, CA, USA; Novadaq, Mississauga, ON, Canada; Hamamatsu Photonics, Hamamatsu, Japan; Olympus, Tokyo, Japan; Pulsion, Glasgow, UK.
Meta-analysis for clinical effects of ICG angiography to reduce anastomotic leak
| Study | Year | No. of enrolled study | No. (ICG/control) | Type of surgery | Anasto-motic leak (%) | Odds ratio | 95% CI | |
|---|---|---|---|---|---|---|---|---|
| Zhang and Che [ | 2021 | 29 | 2,354/3,522 | AR and LAR | 3.2/9.2 | 0.39 | 0.30–0.50 | <0.00001 |
| Arezzo et al. [ | 2020 | 9 | 862/468 | Colorectal surgery | 4.2/11.3 | 0.34 | 0.22–0.53 | <0.001 |
| Liu et al. [ | 2020 | 13 | 1,806/2,231 | Colorectal surgery | 3.8/7.8 | 0.4 | 0.33–0.59 | <0.00001 |
| Lin et al. [ | 2020 | 11 | 1,364/1,773 | Colorectal surgery | 2.9/30.8 | 0.31 | 0.21–0.44 | <0.0001 |
| Chan et al. [ | 2020 | 20 | 2,220/3,278 | Colorectal surgery | 3.7/8.6 | 0.46 | 0.31–0.62 | <0.00001 |
| Rausa et al. [ | 2019 | 11 | 555/1,768 | Colorectal surgery | 3.6/6.0 | 0.44 | 0.14–0.87 | <0.05 |
| Shen et al. [ | 2018 | 4 | 569/608 | Laparoscopic and robotic LAR | 1.8/6.4 | 0.27 | 0.13–0.53 | <0.0002 |
| Blanco-Colino et al. [ | 2018 | 5 | 555/747 | Colorectal surgery | 1.1/6.1 | 0.51 | 0.23–1.13 | 0.10 |
ICG, indocyanine green; AR, anterior resection; LAR, low anterior resection; CI, confidence interval.
Fig. 1Quantitative parameters based on the time-fluorescence of indocyanine green angiography. This graph could be displayed by measuring changes in the fluorescence intensity (FI), allowing evaluation of various quantitative parameters. In the measurement of FI, the basic quantitative factors are the maximal level of FI (Fmax) and the interval to FImax (Tmax). Time scales include latency time (the initial fluorescence onset time), the interval to half of FImax (T1/2max), and perfusion time ratio (TR). The ascending slope can reflect arterial flow conditions and can be calculated considering both FI and time scale. Adapted from Ahn et al. [9], according to the Creative Commons License.
Fig. 2Colonic perfusion images. (A) White light image, (B) indocyanine green (ICG) fluorescence image, and (C) color map result of artificial intelligence (AI) analysis of ICG pattern. Real-time AI-based quantitative analysis can be used to evaluate the tissue microcirculation and express visually through a color map overlying the surgical field. The visual information can help the surgeons assess the perfusion status during laparoscopic surgery. Adapted from Park et al. [14], according to the Creative Commons License.