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Tytuł pozycji:

Setting Standards for Reporting and Quantification in Fluorescence-Guided Surgery.

Tytuł :
Setting Standards for Reporting and Quantification in Fluorescence-Guided Surgery.
Autorzy :
Hoogstins C; Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.; Centre for Human Drug Research and Leiden Center for Academic Drug Research, Zernikedreef 8, 2333, CL, Leiden, the Netherlands.
Burggraaf JJ; Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.
Koller M; Department of Surgery, Nuclear Medicine and Molecular Imaging, and Intensive Care, University Medical Center, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands.
Handgraaf H; Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.
Boogerd L; Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.
van Dam G; Department of Surgery, Nuclear Medicine and Molecular Imaging, and Intensive Care, University Medical Center, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands.
Vahrmeijer A; Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, the Netherlands.
Burggraaf J; Centre for Human Drug Research and Leiden Center for Academic Drug Research, Zernikedreef 8, 2333, CL, Leiden, the Netherlands. .; Leiden Academic Center for Drug Research, Rapenburg 70, 2311 EZ, Leiden, the Netherlands. .
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Źródło :
Molecular Imaging And Biology [Mol Imaging Biol] 2019 Feb; Vol. 21 (1), pp. 11-18.
Typ publikacji :
Comparative Study; Evaluation Studies; Journal Article
Język :
English
Journal Info :
Publisher: Springer Country of Publication: United States NLM ID: 101125610 Publication Model: Print Cited Medium: Internet ISSN: 1860-2002 (Electronic) Linking ISSN: 15361632 NLM ISO Abbreviation: Mol Imaging Biol
Imprint Name(s) :
Publication: 2005- : New York, NY : Springer
Original Publication: New York, NY : Elsevier Science, c2001-
MeSH Terms :
Image Processing, Computer-Assisted*/instrumentation
Image Processing, Computer-Assisted*/methods
Image Processing, Computer-Assisted*/standards
Monitoring, Intraoperative*/instrumentation
Monitoring, Intraoperative*/methods
Monitoring, Intraoperative*/standards
Practice Guidelines as Topic*
Optical Imaging/*methods
Optical Imaging/*standards
Surgery, Computer-Assisted/*methods
Surgery, Computer-Assisted/*standards
Animals ; Calibration ; Humans ; Neoplasms/diagnosis ; Neoplasms/pathology ; Neoplasms/surgery ; Optical Imaging/instrumentation ; Reference Standards ; Reproducibility of Results ; Research Design/standards ; Risk Assessment/standards ; Sensitivity and Specificity ; Signal-To-Noise Ratio ; Surgery, Computer-Assisted/instrumentation
Contributed Indexing :
Keywords: Fluorescence*; Image analysis*; Optical imaging*; Phantom*; Quantification*; Signal-to-noise ratio*
Entry Date(s) :
Date Created: 20180531 Date Completed: 20190729 Latest Revision: 20190828
Update Code :
20190829
DOI :
10.1007/s11307-018-1220-0
PMID :
29845427
Czasopismo naukowe
Purpose: Intraoperative fluorescence imaging (FI) is a promising technique that could potentially guide oncologic surgeons toward more radical resections and thus improve clinical outcome. Despite the increase in the number of clinical trials, fluorescent agents and imaging systems for intraoperative FI, a standardized approach for imaging system performance assessment and post-acquisition image analysis is currently unavailable.
Procedures: We conducted a systematic, controlled comparison between two commercially available imaging systems using a novel calibration device for FI systems and various fluorescent agents. In addition, we analyzed fluorescence images from previous studies to evaluate signal-to-background ratio (SBR) and determinants of SBR.
Results: Using the calibration device, imaging system performance could be quantified and compared, exposing relevant differences in sensitivity. Image analysis demonstrated a profound influence of background noise and the selection of the background on SBR.
Conclusions: In this article, we suggest clear approaches for the quantification of imaging system performance assessment and post-acquisition image analysis, attempting to set new standards in the field of FI.

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