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Digital dynamic discrimination of primary colorectal cancer using systemic indocyanine green with near-infrared endoscopy.pdf (1.82 MB)

Digital dynamic discrimination of primary colorectal cancer using systemic indocyanine green with near-infrared endoscopy

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Version 2 2023-04-20, 10:41
Version 1 2023-04-18, 16:59
journal contribution
posted on 2023-04-20, 10:41 authored by Jeffrey Dalli, Eamon Loughman, Niall Hardy, Anwesha Sarkar, Mohammad Faraz Khan, Haseeb A Khokhar, Paul Huxel, Donal O'SheaDonal O'Shea, Ronan A. Cahill
As indocyanine green (ICG) with near-infrared (NIR) endoscopy enhances real-time intraoperative tissue microperfusion appreciation, it may also dynamically reveal neoplasia distinctively from normal tissue especially with video software fluorescence analysis. Colorectal tumours of patients were imaged mucosally following ICG administration (0.25 mg/kg i.v.) using an endo-laparoscopic NIR system (PINPOINT Endoscopic Fluorescence System, Stryker) including immediate, continuous in situ visualization of rectal lesions transanally for up to 20 min. Spot and dynamic temporal fluorescence intensities (FI) were quantified using ImageJ (including videos at one frame/second, fps) and by a bespoke MATLAB® application that provided digitalized video tracking and signal logging at 30fps (Fluorescence Tracker App downloadable via MATLAB® file exchange). Statistical analysis of FI-time plots compared tumours (benign and malignant) against control during FI curve rise, peak and decline from apex. Early kinetic FI signal measurement delineated discriminative temporal signatures from tumours (n = 20, 9 cancers) offering rich data for analysis versus delayed spot measurement (n = 10 cancers). Malignant lesion dynamic curves peaked significantly later with a shallower gradient than normal tissue while benign lesions showed significantly greater and faster intensity drop from apex versus cancer. Automated tracker quantification efficiently expanded manual results and provided algorithmic KNN clustering. Photobleaching appeared clinically irrelevant. Analysis of a continuous stream of intraoperatively acquired early ICG fluorescence data can act as an in situ tumour-identifier with greater detail than later snapshot observation alone. Software quantification of such kinetic signatures may distinguish invasive from non-invasive neoplasia with potential for real-time in silico diagnosis.

Funding

DTIF | Funder: Enterprise Ireland | Grant ID: DT20180240-B

History

Comments

The original article is available at https://www.nature.com/

Published Citation

Dalli J. et al. Digital dynamic discrimination of primary colorectal cancer using systemic indocyanine green with near-infrared endoscopy. Sci Rep. 2021;11(1):11349

Publication Date

31 May 2021

PubMed ID

34059705

Department/Unit

  • Chemistry

Research Area

  • Cancer
  • Surgical Science and Practice
  • Chemistry and Pharmaceutical Sciences

Publisher

Nature Publishing Group

Version

  • Published Version (Version of Record)