Literature DB >> 30712079

Determination of the transection margin during colorectal resection with hyperspectral imaging (HSI).

Boris Jansen-Winkeln1, N Holfert2, H Köhler3, Y Moulla2, J P Takoh2, S M Rabe2, M Mehdorn2, M Barberio2,4, C Chalopin3, T Neumuth3, I Gockel2.   

Abstract

PURPOSE: This study evaluated the use of hyperspectral imaging for the determination of the resection margin during colorectal resections instead of clinical macroscopic assessment.
METHODS: The used hyperspectral camera is able to record light spectra from 500 to 1000 nm and provides information about physiologic parameters of the recorded tissue area intraoperatively (e.g., tissue oxygenation and perfusion). We performed an open-label, single-arm, and non-randomized intervention clinical trial to compare clinical assessment and hyperspectral measurement to define the resection margin in 24 patients before and after separation of the marginal artery over 15 min; HSI was performed each minute to assess the parameters mentioned above.
RESULTS: The false color images calculated from the hyperspectral data visualized the margin of perfusion in 20 out of 24 patients precisely. In the other four patients, the perfusion difference could be displayed with additional evaluation software. In all cases, there was a deviation between the transection line planed by the surgeon and the border line visualized by HSI (median 1 mm; range - 13 to 13 mm). Tissue perfusion dropped up to 12% within the first 10 mm distal to the border line. Therefore, the resection area was corrected proximally in five cases due to HSI record. The biggest drop in perfusion took place in less than 2 min after devascularization.
CONCLUSION: Determination of the resection margin by HSI provides the surgeon with an objective decision aid for assessment of the best possible perfusion and ideal anastomotic area in colorectal surgery.

Entities:  

Keywords:  Colorectal surgery; Hyperspectral imaging (HSI); Ideal anastomotic site; Prevention of anastomotic leak; Tissue perfusion and oxygenation; Transection margin

Mesh:

Year:  2019        PMID: 30712079     DOI: 10.1007/s00384-019-03250-0

Source DB:  PubMed          Journal:  Int J Colorectal Dis        ISSN: 0179-1958            Impact factor:   2.571


  22 in total

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Authors:  Steffen Brisling; Ismail Gögenur
Journal:  Ugeskr Laeger       Date:  2015-08-31

Review 2.  Colonic anastomotic leak: risk factors, diagnosis, and treatment.

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3.  Evaluation of intestinal perfusion by ICG fluorescence imaging in laparoscopic colorectal surgery with DST anastomosis.

Authors:  Kenji Kawada; Suguru Hasegawa; Toshiaki Wada; Ryo Takahashi; Shigeo Hisamori; Koya Hida; Yoshiharu Sakai
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4.  Hyperspectral imaging in perfusion and wound diagnostics - methods and algorithms for the determination of tissue parameters.

Authors:  Amadeus Holmer; Jörg Marotz; Philip Wahl; Michael Dau; Peer W Kämmerer
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Review 5.  The Role of Fluorescent Angiography in Anastomotic Leaks.

Authors:  Sarath Sujatha-Bhaskar; Mehraneh D Jafari; Michael J Stamos
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Review 6.  Medical hyperspectral imaging: a review.

Authors:  Guolan Lu; Baowei Fei
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7.  ICG fluorescence imaging for quantitative evaluation of colonic perfusion in laparoscopic colorectal surgery.

Authors:  Toshiaki Wada; Kenji Kawada; Ryo Takahashi; Mami Yoshitomi; Koya Hida; Suguru Hasegawa; Yoshiharu Sakai
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8.  Intraoperative laser fluorescence angiography in colorectal surgery: a noninvasive analysis to reduce the rate of anastomotic leakage.

Authors:  Stefanie Kudszus; Christian Roesel; Alexander Schachtrupp; Jörg J Höer
Journal:  Langenbecks Arch Surg       Date:  2010-08-12       Impact factor: 3.445

9.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.

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Journal:  Ann Surg       Date:  2004-08       Impact factor: 12.969

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Authors:  Jarmo T Alander; Ilkka Kaartinen; Aki Laakso; Tommi Pätilä; Thomas Spillmann; Valery V Tuchin; Maarit Venermo; Petri Välisuo
Journal:  Int J Biomed Imaging       Date:  2012-04-22
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  26 in total

1.  [Possibilities and perspectives of hyperspectral imaging in visceral surgery].

Authors:  I Gockel; B Jansen-Winkeln; N Holfert; N Rayes; R Thieme; M Maktabi; R Sucher; D Seehofer; M Barberio; M Diana; S M Rabe; M Mehdorn; Y Moulla; S Niebisch; D Branzan; K Rehmet; J P Takoh; T-O Petersen; T Neumuth; A Melzer; C Chalopin; H Köhler
Journal:  Chirurg       Date:  2020-02       Impact factor: 0.955

2.  Hyperspectral Imaging: A New Intraoperative Tool for Pouch Assessment in Patients Undergoing Restorative Proctocolectomy.

Authors:  Boris Jansen-Winkeln; Jonathan P Takoh; Claire Chalopin; Marianne Maktabi; Orestis Lyros; Robert Sucher; Albrecht Hoffmeister; Niels Teich; Hannes Köhler; Ines Gockel
Journal:  Visc Med       Date:  2021-04-13

3.  Intraoperative reperfusion assessment of human pancreas allografts using hyperspectral imaging (HSI).

Authors:  Robert Sucher; Uwe Scheuermann; Sebastian Rademacher; Andri Lederer; Elisabeth Sucher; Hans-Michael Hau; Gerald Brandacher; Stefan Schneeberger; Ines Gockel; Daniel Seehofer
Journal:  Hepatobiliary Surg Nutr       Date:  2022-02       Impact factor: 7.293

4.  Combined indocyanine green and quantitative perfusion assessment with hyperspectral imaging during colorectal resections.

Authors:  A Pfahl; G K Radmacher; H Köhler; M Maktabi; T Neumuth; A Melzer; I Gockel; C Chalopin; B Jansen-Winkeln
Journal:  Biomed Opt Express       Date:  2022-04-29       Impact factor: 3.562

5.  Assessment of angle-dependent spectral distortion to develop accurate hyperspectral endoscopy.

Authors:  Jungwoo Lee; Jonghee Yoon
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

6.  Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.

Authors:  Alexander Studier-Fischer; Silvia Seidlitz; Jan Sellner; Berkin Özdemir; Manuel Wiesenfarth; Leonardo Ayala; Jan Odenthal; Samuel Knödler; Karl Friedrich Kowalewski; Caelan Max Haney; Isabella Camplisson; Maximilian Dietrich; Karsten Schmidt; Gabriel Alexander Salg; Hannes Götz Kenngott; Tim Julian Adler; Nicholas Schreck; Annette Kopp-Schneider; Klaus Maier-Hein; Lena Maier-Hein; Beat Peter Müller-Stich; Felix Nickel
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

7.  Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning.

Authors:  Martin Halicek; James D Dormer; James V Little; Amy Y Chen; Baowei Fei
Journal:  Biomed Opt Express       Date:  2020-02-18       Impact factor: 3.732

8.  Intraoperative Assessment of Gastric Sleeve Oxygenation Using Hyperspectral Imaging in Esophageal Resection: A Feasibility Study.

Authors:  Frank Schwandner; Sebastian Hinz; Maria Witte; Mark Philipp; Clemens Schafmayer; Eberhard Grambow
Journal:  Visc Med       Date:  2020-08-07

9.  Mid-Infrared Imaging Is Able to Characterize and Separate Cancer Cell Lines.

Authors:  E Kontsek; A Pesti; M Björnstedt; T Üveges; E Szabó; T Garay; P Gordon; S Gergely; A Kiss
Journal:  Pathol Oncol Res       Date:  2020-06-16       Impact factor: 3.201

10.  Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range.

Authors:  Hannes Köhler; Axel Kulcke; Marianne Maktabi; Yusef Moulla; Boris Jansen-Winkeln; Manuel Barberio; Michele Diana; Ines Gockel; Thomas Neumuth; Claire Chalopin
Journal:  J Biomed Opt       Date:  2020-08       Impact factor: 3.170

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