Differentiation of healthy and malignant tissue in colon cancer patients using optical spectroscopy: A tool for image‐guided surgery

Langhout, G.C.; Spliethoff, Jarich W.; Schmitz, Stephan; Aalbers, Arend G. J.; Velthuysen, Marie‐Louise F. van; Hendriks, Benno H. W.; Ruers, Theo J.M.; Kuhlmann, Koert F. D.

doi:10.1002/lsm.22388

Cited by 31 publications

(37 citation statements)

References 23 publications

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“…Autofluorescence imaging and spectroscopy is a non-invasive, label-free, real-time technique for cancer detection. Autofluorescence emitting from tissues has many intrinsic fluorophores, such as reduced nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD), and porphyrins [13,14]. NADH and FAD are metabolic coenzymes in oxidative phosphorylation, and NADH has a free or protein-bound state [15,16].…”

Section: Introductionmentioning

confidence: 99%

Autofluorescence Imaging and Spectroscopy of Human Lung Cancer

et al. 2016

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Lung cancer is one of the most common cancers, with high mortality rate worldwide. Autofluorescence imaging and spectroscopy is a non-invasive, label-free, real-time technique for cancer detection. In this study, lung tissue sections excised from patients were detected by laser scan confocal microscopy and spectroscopy. The autofluorescence images demonstrated the cellular morphology and tissue structure, as well as the pathology of stained images. Based on the spectra study, it was found that the majority of the patients showed discriminating fluorescence in tumor tissues from normal tissues. Therefore, autofluorescence imaging and spectroscopy may be a potential method for aiding the diagnosis of lung cancer.

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Section: Introductionmentioning

confidence: 99%

Autofluorescence Imaging and Spectroscopy of Human Lung Cancer

et al. 2016

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“…23 Application of this model is described in various pre-clinical and clinical models. 7,9,[24][25][26] Spectra highly contaminated by blood (>25%) were excluded from analysis. For FS, autofluorescence was calculated by correcting the measured fluorescence spectra for absorption and scattering using a method described earlier.…”

Section: Spectral Analysismentioning

confidence: 99%

“…3 In the present paper we describe the use of diffuse reflectance spectroscopy (DRS) combined with fluorescence spectroscopy (FS) for the identification of small peripheral nerves. This optical technique was earlier used to identify various malignancies in breast, 4-6 liver, 7,8 colon, 9,10 cervix, 11 and lung. 12,13 In DRS, the tissue is illuminated with broadband white light.…”

Section: Introductionmentioning

confidence: 99%

In vivo nerve identification in head and neck surgery using diffuse reflectance spectroscopy

Langhout

Kuhlmann

Schreuder

et al. 2018

Laryngoscope Investig Oto

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BackgroundCareful identification of nerves during head and neck surgery is essential to prevent nerve damage. Currently, nerves are identified based on anatomy and appearance, optionally combined with electromyography (EMG). In challenging cases, nerve damage is reported in up to 50%. Recently, optical techniques, like diffuse reflectance spectroscopy (DRS) and fluorescence spectroscopy (FS) show potential to improve nerve identification.Methods212 intra‐operative DRS/FS measurements were performed. Small nerve branches (1–3 mm), on near‐nerve adipose tissue, muscle and subcutaneous fat were measured during 11 surgical procedures. Tissue identification was based on quantified concentrations of optical absorbers and scattering parameters.ResultsClinically comprehensive parameters showed significant differences (<0.05) between the tissues. Classification using k‐Nearest Neighbor resulted in 100% sensitivity and a specificity of 83% (accuracy 91%), for the identification of nerve against surrounding tissues.ConclusionsDRS/FS is a potentially useful intraoperative tool for identification of nerves from adjacent tissues.Level of EvidenceObservational proof of principle study.

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“…A natural expansion of this technique is the current attempt to implement the spectroscopy method into the operating theater. Preliminary data showed promising results [13]. This technique will allow better identification of cancer-free margins in order to reduce its local recurrence.…”

Section: Laparoscopic Surgery: Backgroundmentioning

confidence: 99%

Minimally Invasive Surgery for the Treatment of Colorectal Cancer

Karcz

Braun

2016

Visc Med

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Background: Reduction in operative trauma along with an improvement in endoscopic access has undoubtedly occupied surgical minds for at least the past 3 decades. It is not at all surprising that minimally invasive colon surgery has come a long way since the first laparoscopic appendectomy by Semm in 1981. It is common knowledge that the recent developments in video and robotic technologies have significantly furthered advancements in laparoscopic and minimally invasive surgery. This has led to the overall acceptance of the treatment of benign colorectal pathology via the endoscopic route. Malignant disease, however, is still primarily treated by conventional approaches. Methods and Results: This review article is based on a literature search pertaining to advances in minimally invasive colorectal surgery for the treatment of malignant pathology, as well as on personal experience in the field over the same period of time. Our search was limited to level I and II clinical papers only, according to the evidence-based medicine guidelines. We attempted to present our unbiased view on the subject relying only on the evidence available. Conclusion: Focusing on advances in colorectal minimally invasive surgery, it has to be stated that there are still a number of unanswered questions regarding the surgical management of malignant diseases with this approach. These questions do not only relate to the area of boundaries set for the use of minimally invasive techniques in this field but also to the exact modality best suited to the treatment of every particular case whilst maintaining state-of-the-art oncological principles.

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Differentiation of healthy and malignant tissue in colon cancer patients using optical spectroscopy: A tool for image‐guided surgery

Cited by 31 publications

References 23 publications

Autofluorescence Imaging and Spectroscopy of Human Lung Cancer

Autofluorescence Imaging and Spectroscopy of Human Lung Cancer

In vivo nerve identification in head and neck surgery using diffuse reflectance spectroscopy

Minimally Invasive Surgery for the Treatment of Colorectal Cancer

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