Simultaneous computer-assisted assessment of mucosal and serosal perfusion in a model of segmental colonic ischemia.


Journal

Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653

Informations de publication

Date de publication:
11 2020
Historique:
received: 11 07 2019
accepted: 11 11 2019
pubmed: 20 11 2019
medline: 25 5 2021
entrez: 20 11 2019
Statut: ppublish

Résumé

Fluorescence-based enhanced reality (FLER) enables the quantification of fluorescence signal dynamics, which can be superimposed onto real-time laparoscopic images by using a virtual perfusion cartogram. The current practice of perfusion assessment relies on visualizing the bowel serosa. The aim of this experimental study was to quantify potential differences in mucosal and serosal perfusion levels in an ischemic colon segment. An ischemic colon segment was created in 12 pigs. Simultaneous quantitative mucosal and serosal fluorescence imaging was obtained via intravenous indocyanine green injection (0.2 mg/kg), using two near-infrared camera systems, and computer-assisted FLER analysis. Lactate levels were measured in capillary blood of the colonic wall at seven regions of interest (ROIs) as determined with FLER perfusion cartography: the ischemic zone (I), the proximal and distal vascularized areas (PV, DV), and the 50% perfusion threshold proximally and distally at the mucosal and serosal side (P50M, P50S, D50M, D50S). The mean ischemic zone as measured (mm) for the mucosal side was significantly larger than the serosal one (56.3 ± 21.3 vs. 40.8 ± 14.9, p = 0.001) with significantly lower lactate values at the mucosal ROIs. There was a significant weak inverse correlation between lactate and slope values for the defined ROIs (r = - 0.2452, p = 0.0246). Mucosal ischemic zones were larger than serosal zones. These results suggest that an assessment of bowel perfusion from the serosal side only can underestimate the extent of ischemia. Further studies are required to predict the optimal resection margin and anastomotic site.

Sections du résumé

BACKGROUND
Fluorescence-based enhanced reality (FLER) enables the quantification of fluorescence signal dynamics, which can be superimposed onto real-time laparoscopic images by using a virtual perfusion cartogram. The current practice of perfusion assessment relies on visualizing the bowel serosa. The aim of this experimental study was to quantify potential differences in mucosal and serosal perfusion levels in an ischemic colon segment.
METHODS
An ischemic colon segment was created in 12 pigs. Simultaneous quantitative mucosal and serosal fluorescence imaging was obtained via intravenous indocyanine green injection (0.2 mg/kg), using two near-infrared camera systems, and computer-assisted FLER analysis. Lactate levels were measured in capillary blood of the colonic wall at seven regions of interest (ROIs) as determined with FLER perfusion cartography: the ischemic zone (I), the proximal and distal vascularized areas (PV, DV), and the 50% perfusion threshold proximally and distally at the mucosal and serosal side (P50M, P50S, D50M, D50S).
RESULTS
The mean ischemic zone as measured (mm) for the mucosal side was significantly larger than the serosal one (56.3 ± 21.3 vs. 40.8 ± 14.9, p = 0.001) with significantly lower lactate values at the mucosal ROIs. There was a significant weak inverse correlation between lactate and slope values for the defined ROIs (r = - 0.2452, p = 0.0246).
CONCLUSIONS
Mucosal ischemic zones were larger than serosal zones. These results suggest that an assessment of bowel perfusion from the serosal side only can underestimate the extent of ischemia. Further studies are required to predict the optimal resection margin and anastomotic site.

Identifiants

pubmed: 31741157
doi: 10.1007/s00464-019-07258-z
pii: 10.1007/s00464-019-07258-z
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4818-4827

Auteurs

Barbara Seeliger (B)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.
Institute for Research Against Cancer of the Digestive System (IRCAD), Strasbourg, France.

Vincent Agnus (V)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Pietro Mascagni (P)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Manuel Barberio (M)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Fabio Longo (F)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Alfonso Lapergola (A)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Didier Mutter (D)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.
Institute for Research Against Cancer of the Digestive System (IRCAD), Strasbourg, France.
Department of General, Digestive and Endocrine Surgery, University Hospital of Strasbourg, 1, place de l'Hôpital, 67091, Strasbourg Cedex, France.

Andrey S Klymchenko (AS)

Faculty of Pharmacy, Nanochemistry and Bioimaging Laboratory, UMR 7021, CNRS, University of Strasbourg, Strasbourg, France.

Manish Chand (M)

Division of Surgery and Interventional Sciences, University College London, London, UK.

Jacques Marescaux (J)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.
Institute for Research Against Cancer of the Digestive System (IRCAD), Strasbourg, France.

Michele Diana (M)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France. michele.diana@ihu-strasbourg.eu.
Institute for Research Against Cancer of the Digestive System (IRCAD), Strasbourg, France. michele.diana@ihu-strasbourg.eu.
Department of General, Digestive and Endocrine Surgery, University Hospital of Strasbourg, 1, place de l'Hôpital, 67091, Strasbourg Cedex, France. michele.diana@ihu-strasbourg.eu.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH