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In vivo real-time assessment of the anastomotic blood supply in colorectal surgery using confocal laser endomicroscopy in an anastomotic model

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Abstract

Background and study aims

Anastomotic ischemia can affect healing and eventually lead to anastomotic leakage, and confocal laser endomicroscopy (CLE) can offer detailed observations at the subcellular level. We aimed to evaluate the anastomotic microcirculation in different anastomotic perfusion models using CLE.

Methods

Anastomotic perfusion models were established using twelve rabbits distributed into two groups: group A (good perfusion, n = 6) and group B (poor perfusion, n = 6). Afterward, intraoperative detection of anastomotic perfusion was carried out using CLE, and quantitative analysis of blood cells was performed. Rabbits that satisfied the criteria underwent a second exploratory operation and specimens were stained by hematoxylin and eosin.

Results

Enhanced with fluorescein sodium, capillaries were obviously highlighted in group A, while few capillaries were viewed in group B. Delayed development of fluorescence occurred in group B. The average flow of blood cells was 37.0 ± 5.93 per minute in group A and 6.33 ± 2.16 per minute in group B (p < 0.001). In addition, during the second exploratory surgery, rabbits with inadequate anastomotic perfusion exhibited more serious intestinal adhesion and ischemia. Anastomotic leakage and abdominal infection occurred in all rabbits in group B.

Conclusion

CLE can realize real-time imaging of the anastomotic microcirculation and is a feasible technique for performing intraoperative evaluation in different anastomotic perfusion situations. This animal experiment provides the groundwork for future in vivo research in humans.

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References

  1. Paun BC, Cassie S, MacLean AR et al (2010) Postoperative complications following surgery for rectal cancer. Ann Surg 251:807–818

    Article  Google Scholar 

  2. Gessler B, Eriksson O, Angenete E (2017) Diagnosis, treatment, and consequences of anastomotic leakage in colorectal surgery. Int J Colorectal Dis 32:549–556

    Article  Google Scholar 

  3. Snijders HS, Wouters MW, van Leersum NJ et al (2012) Meta-analysis of the risk for anastomotic leakage, the postoperative mortality caused by leakage in relation to the overall postoperative mortality. Eur J Surg Oncol 38:1013–1019

    Article  CAS  Google Scholar 

  4. Matthiessen P, Hallböök O, Rutegård J et al (2007) Defunctioning stoma reduces symptomatic anastomotic leakage after low anterior resection of the rectum for cancer: a randomized multicenter trial. Ann Surg 246:207–214

    Article  Google Scholar 

  5. Borstlap WAA, Westerduin E, Aukema TS et al (2017) Anastomotic leakage and chronic presacral sinus formation after low anterior resection: results from a large cross-sectional study. Ann Surg 266:870–877

    Article  Google Scholar 

  6. Kang CY, Halabi WJ, Chaudhry OO et al (2013) Risk factors for anastomotic leakage after anterior resection for rectal cancer. JAMA Surg 148:65–71

    Article  Google Scholar 

  7. Konishi T, Watanabe T, Kishimoto J et al (2006) Risk factors for anastomotic leakage after surgery for colorectal cancer: results of prospective surveillance. J Am Coll Surg 202:439–444

    Article  Google Scholar 

  8. Matthiessen P, Hallböök O, Andersson M et al (2004) Risk factors for anastomotic leakage after anterior resection of the rectum. Colorectal Dis 6:462–469

    Article  CAS  Google Scholar 

  9. Kawada K, Sakai Y (2016) Preoperative, intraoperative and postoperative risk factors for anastomotic leakage after laparoscopic low anterior resection with double stapling technique anastomosis. World J Gastroenterol 22:5718–5727

    Article  Google Scholar 

  10. Qu H, Liu Y, Bi DS (2015) Clinical risk factors for anastomotic leakage after laparoscopic anterior resection for rectal cancer: a systematic review and meta-analysis. Surg Endosc 29:3608–3617

    Article  Google Scholar 

  11. Mirnezami A, Mirnezami R, Chandrakumaran K et al (2011) Increased local recurrence and reduced survival from colorectal cancer following anastomotic leak: systematic review and meta-analysis. Ann Surg 253:890–899

    Article  Google Scholar 

  12. Ha GW, Kim JH, Lee MR (2017) Oncologic impact of anastomotic leakage following colorectal cancer surgery: a systematic review and meta-analysis. Ann Surg Oncol 24:3289–3299

    Article  Google Scholar 

  13. Krarup PM, Nordholm-Carstensen A, Jorgensen LN et al (2014) Anastomotic leak increases distant recurrence and long-term mortality after curative resection for colonic cancer: a nationwide cohort study. Ann Surg 259:930–938

    Article  Google Scholar 

  14. Li WB, Zuo XL, Li CQ et al (2011) Diagnostic value of confocal laser endomicroscopy for gastric superficial cancerous lesions. Gut 60:299–306

    Article  Google Scholar 

  15. Karstensen J, Klausen P, Saftoiu A et al (2014) Molecular confocal laser endomicroscopy: a novel technique for in vivo cellular characterization of gastrointestinal lesions. World J Gastroenterol 20:7794–7800

    Article  Google Scholar 

  16. Dong YY, Li YQ, Yu YB et al (2013) Meta-analysis of confocal laser endomicroscopy for the detection of colorectal neoplasia. Colorectal Dis 15:488–495

    Google Scholar 

  17. Al-Mansour MR, Caycedo-Marulanda A, Davis BR et al (2021) SAGES TAVAC safety and efficacy analysis confocal laser endomicroscopy. Surg Endosc 35:2091–2103

    Article  Google Scholar 

  18. Zhang JN, Li YQ, Zhao YA et al (2008) Classification of gastric pit patterns by confocal endomicroscopy. Gastrointest Endosc 67:843–853

    Article  Google Scholar 

  19. Ji R, Zuo XL, Li CQ et al (2011) Confocal endomicroscopy for in vivo prediction of completeness after endoscopic mucosal resection. Surg Endosc 25:1933–1938

    Article  Google Scholar 

  20. Sharma P, Gupta N, Kuipers EJ et al (2014) Advanced imaging in colonoscopy and its impact on quality. Gastrointest Endosc 79:28–36

    Article  Google Scholar 

  21. Foersch S, Kiesslich R, Waldner MJ et al (2010) Molecular imaging of VEGF in gastrointestinal cancer in vivo using confocal laser endomicroscopy. Gut 59:1046–1055

    Article  Google Scholar 

  22. Buchner AM, Wallace MB (2015) In-vivo microscopy in the diagnosis of intestinal neoplasia and inflammatory conditions. Histopathology 66:137–146

    Article  Google Scholar 

  23. Liu H, Li Y-Q, Yu T et al (2008) Confocal endomicroscopy for in vivo detection of microvascular architecture in normal and malignant lesions of upper gastrointestinal tract. J Gastroenterol Hepatol 23:56–61

    CAS  PubMed  Google Scholar 

  24. Laemmel E, Genet M, Le Goualher G et al (2004) Fibered confocal fluorescence microscopy (Cell-viZio) facilitates extended imaging in the field of microcirculation. A comparison with intravital microscopy. J Vasc Res 41:400–411

    Article  Google Scholar 

  25. Diana M, Dallemagne B, Chung H et al (2014) Probe-based confocal laser endomicroscopy and fluorescence-based enhanced reality for real-time assessment of intestinal microcirculation in a porcine model of sigmoid ischemia. Surg Endosc 28:3224–3233

    Article  Google Scholar 

  26. Belykh E, Zhao X, Ngo B et al (2021) Visualization of brain microvasculature and blood flow in vivo: Feasibility study using confocal laser endomicroscopy. Microcirculation 28:e12678

    Article  CAS  Google Scholar 

  27. Schmidt C, Lautenschlager C, Petzold B et al (2013) Confocal laser endomicroscopy reliably detects sepsis-related and treatment-associated changes in intestinal mucosal microcirculation. Br J Anaesth 111:996–1003

    Article  CAS  Google Scholar 

  28. Jafari MD, Wexner SD, Martz JE et al (2015) Perfusion assessment in laparoscopic left-sided/anterior resection (PILLAR II): a multi-institutional study. J Am Coll Surg 220:82–92

    Article  Google Scholar 

  29. Ris F, Hompes R, Cunningham C et al (2014) Near-infrared (NIR) perfusion angiography in minimally invasive colorectal surgery. Surg Endosc 28:2221–2226

    Article  Google Scholar 

  30. Slooter MD, Mansvelders MSE, Bloemen PR et al (2021) Defining indocyanine green fluorescence to assess anastomotic perfusion during gastrointestinal surgery: systematic review. BJS open 5(2):zraa074

    Article  Google Scholar 

  31. Dittberner A, Rodner E, Ortmann W et al (2016) Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer. Head Neck 38(Suppl 1):E1419-1426

    Article  Google Scholar 

  32. Kamen A, Sun S, Wan S et al (2016) Automatic tissue differentiation based on confocal endomicroscopic images for intraoperative guidance in neurosurgery. BioMed Res Int. https://doi.org/10.1155/2016/6183218

    Article  PubMed  PubMed Central  Google Scholar 

  33. Udristoiu AL, Stefanescu D, Gruionu G et al (2021) Deep learning algorithm for the confirmation of mucosal healing in Crohn’s disease, based on confocal laser endomicroscopy images. J Gastrointestin Liver Dis 30:59–65

    Article  Google Scholar 

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Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (81773117 and 81771881), the Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer (2020B121201004), the State’s Key Project of Research and Development Plan (2017YFC0108300, 2017YFC0108302 and 2019YFE0113700), the China Postdoctoral Science Foundation (2020M682789), the Special Fund for Guangdong Province Public Research and Capacity Building (2014B020215002), the Natural Science Foundation of Guangdong Province (2015A030308006), the Guangzhou Industry University Research Cooperative Innovation Major Project (201704020062), the Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education (LC2016PY010), the Scientific Research Foundation for High-Level Talents in Nanfang Hospital of Southern Medical University (201404280056), the Clinical Research Project of Nanfang Hospital (2018CR034), the President Funding of Nanfang Hospital (2019Z023), and the Training Program for Undergraduate Innovation and Entrepreneurship (201912121008, 202012121091 and 202012121277).

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Correspondence to Jun Yan.

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Authors Xiumin Liu, Yuting Tang, Zhiming Li, Jie Tan, Jixiang Zheng, Mingyuan Feng, Jinliang Wan, Shijie Wang, Kemao Qiu, Hongli Ji, and Yan Jun have no conflicts of interest or financial ties to disclose.

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Liu, X., Tang, Y., Li, Z. et al. In vivo real-time assessment of the anastomotic blood supply in colorectal surgery using confocal laser endomicroscopy in an anastomotic model. Surg Endosc 36, 4136–4144 (2022). https://doi.org/10.1007/s00464-021-08738-x

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  • DOI: https://doi.org/10.1007/s00464-021-08738-x

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