Rutger M Schols1, Par Dunias, Fokko P Wieringa, Laurents P S Stassen. 1. Department of Surgery, Maastricht University Medical Center, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University, Maastricht, The Netherlands. rutgermschols@hotmail.com
Abstract
AIMS: This study investigated the feasibility of automated differentiation between essential tissue types encountered during laparoscopic colorectal surgery using spectral analysis. METHODS: Wide band (440-1830 nm) spectra were collected using an optical fiber probe and spectrometer from freshly explanted, ex vivo, human colonic specimens. These data were normalized at 810 nm (an isobestic wavelength for hemoglobin and oxy-hemoglobin) and mathematically analyzed using total principal component regression (TPCR). RESULTS: 929 spectra were collected from specimens of 19 patients, distinguishing 5 tissue types: mesenteric fat (MF, n=269), blood vessels (BV, n=377), colonic tissue (CT, n=213), ureter (UR, n=10) and tumorous tissue in colon (TT, n=60). For each individual tissue type the distinctive ability was determined against all other tissue types pooled as a group. Paired probability density function (PDF) of "tissue" (centered around label 1) versus "all other pooled tissues" (centered around label 0) and the cumulative distribution function (CDF) at label crossover value 0.5 was determined for each tissue type (MF: CDF=0.99 [SD=0.19]; BV: CDF=0.95 [SD=0.29]; CT: CDF=0.98 [SD=0.22]; UR: CDF=0.99 [SD=0.09]; TT: CDF=0.99 [SD=0.18]). CONCLUSION: Automated spectral differentiation of blood vessel, ureter, mesenteric adipose tissue, colonic tissue and tumorous tissue in colon, is feasible in freshly explanted human colonic specimens. These results may be exploited for further steps toward multi- or hyperspectrally enhanced in vivo (laparoscopic) surgical imaging.
AIMS: This study investigated the feasibility of automated differentiation between essential tissue types encountered during laparoscopic colorectal surgery using spectral analysis. METHODS: Wide band (440-1830 nm) spectra were collected using an optical fiber probe and spectrometer from freshly explanted, ex vivo, human colonic specimens. These data were normalized at 810 nm (an isobestic wavelength for hemoglobin and oxy-hemoglobin) and mathematically analyzed using total principal component regression (TPCR). RESULTS: 929 spectra were collected from specimens of 19 patients, distinguishing 5 tissue types: mesenteric fat (MF, n=269), blood vessels (BV, n=377), colonic tissue (CT, n=213), ureter (UR, n=10) and tumorous tissue in colon (TT, n=60). For each individual tissue type the distinctive ability was determined against all other tissue types pooled as a group. Paired probability density function (PDF) of "tissue" (centered around label 1) versus "all other pooled tissues" (centered around label 0) and the cumulative distribution function (CDF) at label crossover value 0.5 was determined for each tissue type (MF: CDF=0.99 [SD=0.19]; BV: CDF=0.95 [SD=0.29]; CT: CDF=0.98 [SD=0.22]; UR: CDF=0.99 [SD=0.09]; TT: CDF=0.99 [SD=0.18]). CONCLUSION: Automated spectral differentiation of blood vessel, ureter, mesenteric adipose tissue, colonic tissue and tumorous tissue in colon, is feasible in freshly explanted human colonic specimens. These results may be exploited for further steps toward multi- or hyperspectrally enhanced in vivo (laparoscopic) surgical imaging.
Authors: Elisabeth J M Baltussen; Henricus J C M Sterenborg; Theo J M Ruers; Behdad Dashtbozorg Journal: Biomed Opt Express Date: 2019-11-05 Impact factor: 3.732
Authors: Gerrit C Langhout; Koert F D Kuhlmann; Pim Schreuder; Torre Bydlon; Ludi E Smeele; Michiel W M van den Brekel; Henricus J C M Sterenborg; Benno H W Hendriks; Theo J M Ruers Journal: Laryngoscope Investig Otolaryngol Date: 2018-08-09
Authors: E J M Baltussen; S G Brouwer de Koning; J Sanders; A G J Aalbers; N F M Kok; G L Beets; B H W Hendriks; H J C M Sterenborg; K F D Kuhlmann; T J M Ruers Journal: J Transl Med Date: 2019-10-02 Impact factor: 5.531