The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Enhanced-Reality Video Fluorescence: A Real-Time Assessment of Intestinal Viability
Abstract
OBJECTIVE: Our aim was to evaluate a fluorescence-based enhanced-reality system to assess intestinal viability in a laparoscopic mesenteric ischemia model. MATERIALS AND METHODS: A small bowel loop was exposed, and 3 to 4 mesenteric vessels were clipped in 6 pigs. Indocyanine green (ICG) was administered intravenously 15 minutes later. The bowel was illuminated with an incoherent light source laparoscope (D-light-P, KarlStorz). The ICG fluorescence signal was analyzed with Ad Hoc imaging software (VR-RENDER), which provides a digital perfusion cartography that was superimposed to the intraoperative laparoscopic image [augmented reality (AR) synthesis]. Five regions of interest (ROIs) were marked under AR guidance (1, 2a-2b, 3a-3b corresponding to the ischemic, marginal, and vascularized zones, respectively). One hour later, capillary blood samples were obtained by puncturing the bowel serosa at the identified ROIs and lactates were measured using the EDGE analyzer. A surgical biopsy of each intestinal ROI was sent for mitochondrial respiratory rate assessment and for metabolites quantification. RESULTS: Mean capillary lactate levels were 3.98 (SD = 1.91) versus 1.05 (SD = 0.46) versus 0.74 (SD = 0.34) mmol/L at ROI 1 versus 2a-2b (P = 0.0001) versus 3a-3b (P = 0.0001), respectively. Mean maximal mitochondrial respiratory rate was 104.4 (±21.58) pmolO2/second/mg at the ROI 1 versus 191.1 ± 14.48 (2b, P = 0.03) versus 180.4 ± 16.71 (3a, P = 0.02) versus 199.2 ± 25.21 (3b, P = 0.02). Alanine, choline, ethanolamine, glucose, lactate, myoinositol, phosphocholine, sylloinositol, and valine showed statistically significant different concentrations between ischemic and nonischemic segments. CONCLUSIONS: Fluorescence-based AR may effectively detect the boundary between the ischemic and the vascularized zones in this experimental model.
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“Real time ICGFI quantification using time to peak, slope of fluorescent intensity, and background subtracted peak fluorescent intensity may predict tissue injury, especially if visual assessment is difficult. 119,171,172”
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Surgeons lack predictive accuracy for anastomotic leakage in gastrointestinal surgery
Karliczek, A., Harlaar, N. J., Zeebregts, C. J., Wiggers, T., Baas, P. C., & van Dam, G. M. (2009) · International Journal of Colorectal Disease · doi:10.1007/s00384-009-0658-6 · Cited by 465
No-Mortality Liver Resection for Hepatocellular Carcinoma in Cirrhotic and Noncirrhotic Patients
Torzilli, G. (1999) · Archives of Surgery · doi:10.1001/archsurg.134.9.984 · Cited by 457
Kudszus, S., Roesel, C., Schachtrupp, A., & Höer, J. (2010) · Langenbeck s Archives of Surgery · doi:10.1007/s00423-010-0699-x · Cited by 334
Augmented-Reality–Assisted Laparoscopic Adrenalectomy
Marescaux, J., Rubino, F., Arenas, M., Mutter, D., & Soler, L. (2004) · JAMA · doi:10.1001/jama.292.18.2214-c · Cited by 235
Self-citationHow to assess intestinal viability during surgery: A review of techniques
Urbanavičius, L. (2011) · World Journal of Gastrointestinal Surgery · doi:10.4240/wjgs.v3.i5.59 · Cited by 235
Seike, K., Koda, K., Saito, N., Oda, K., Kosugi, C., Shimizu, K., & Miyazaki, M. (2006) · International Journal of Colorectal Disease · doi:10.1007/s00384-006-0221-7 · Cited by 178
Cahill, R. A., Anderson, M., Wang, L. M., Lindsey, I., Cunningham, C., & Mortensen, N. (2011) · Surgical Endoscopy · doi:10.1007/s00464-011-1854-3 · Cited by 164
Rocha, C., Barros, A. S., Gil, A. M., Goodfellow, B. J., Humpfer, E., Spraul, M., Carreira, I. M., Melo, J. B., Bernardo, J., Gomes, A., et al. (2009) · Journal of Proteome Research · doi:10.1021/pr9006574 · Cited by 154
Karliczek, A., Benaron, D. A., Baas, P. C., Zeebregts, C. J., Wiggers, T., & van Dam, G. M. (2009) · Colorectal Disease · doi:10.1111/j.1463-1318.2009.01944.x · Cited by 133
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Boni, L., David, G., Mangano, A., Dionigi, G., Rausei, S., Spampatti, S., Cassinotti, E., & Fingerhut, A. L. (2014) · Surgical Endoscopy · doi:10.1007/s00464-014-3895-x · Cited by 550
Recent Development of Augmented Reality in Surgery: A Review
Vavra, P., Roman, J., Zonča, P., Ihnat, P. M., Němec, M., Kumar, J., Habib, N. A., & El-Gendi, A. M. (2017) · Journal of Healthcare Engineering · doi:10.1155/2017/4574172 · Cited by 394
van Manen, L., Handgraaf, H. J. M., Diana, M., Dijkstra, J., Ishizawa, T., Vahrmeijer, A. L., & Mieog, J. S. D. (2018) · Journal of Surgical Oncology · doi:10.1002/jso.25105 · Cited by 322
Self-citationDiana, M., & Marescaux, J. (2015) · British journal of surgery · doi:10.1002/bjs.9711 · Cited by 320
Self-citationThe status of augmented reality in laparoscopic surgery as of 2016
Bernhardt, S., Nicolau, S., Soler, L., & Doignon, C. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.01.007 · Cited by 315
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Metadata
- Authors
- Diana, M., Noll, E., Diemunsch, P., Dallemagne, B., Benahmed, M. A., Agnus, V., Soler, L., Barry, B., Namer, I. J., Demartines, N., Charles, A.-L., Geny, B., & Marescaux, J.
- Affiliations
- Institut de Recherche contre les Cancers de l’Appareil Digestif (FR)
- Centre Hospitalier Universitaire Vaudois (CH)
- Université de Strasbourg (FR)
- Corresponding author
- Dallemagne, Bernard
- Agnus, Vincent
- Soler, Luc
- Barry, Brian
- Marescaux, Jacques
- ORCID
- Venue
- Annals of Surgery
- Published
- 2014-04
- Volume
- 259
- Issue
- 4
- Pages
- 700-707
- ISSN
- 0003-4932 (ISSN-L)
- OpenAlex
- W2020670928
- Cited by
- 168
- References
- 26
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 18 · 2021: 19 · 2020: 21 · 2019: 14 · 2018: 21 · 2017: 9 · 2016: 10 · 2015: 16 · 2014: 11
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Surgery (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Abdominal vascular conditions and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Keywords
- fluorescence imaging, indocyanine green, mesenteric ischemia, intestinal viability, augmented reality, laparoscopic surgery, capillary lactate, intestinal metabolites, porcine model
- MeSH terms
- Animals, Female, Fluorescent Dyes, Image Interpretation, Computer-Assisted, Indocyanine Green, Intestine, Small, Ischemia, Male, Mesenteric Arteries, Mesentery, Mitochondria, Magnetic Resonance Spectroscopy, Laparoscopy, Spectrometry, Fluorescence, Swine, Video Recording, Biomarkers, Lactic Acid, Metabolome
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