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Detection improvement of gliomas in hyperspectral imaging of protoporphyrin IX fluorescence - in vitro comparison of visual identification and machine thresholds.
Lehtonen, Samu J R; Vrzakova, Hana; Paterno, Jussi J; Puustinen, Sami; Bednarik, Roman; Hauta-Kasari, Markku; Haneishi, Hideaki; Immonen, Arto; Jääskeläinen, Juha E; Kämäräinen, Olli-Pekka; Elomaa, Antti-Pekka.
Afiliación
  • Lehtonen SJR; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
  • Vrzakova H; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery of Neurocenter, KUH Kuopio University Hospital, Puijonlaaksontie 2, 70210 Kuopio, Finland; School of Computing, UEF University of Eastern Finland, Länsikatu 15, 80110 Joensuu, Finland; Institute of
  • Paterno JJ; Ophthalmology Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland.
  • Puustinen S; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
  • Bednarik R; School of Computing, UEF University of Eastern Finland, Länsikatu 15, 80110 Joensuu, Finland; Institute of Photonics, UEF University of Eastern Finland, Länsikatu 15, 80110 Joensuu, Finland.
  • Hauta-Kasari M; School of Computing, UEF University of Eastern Finland, Länsikatu 15, 80110 Joensuu, Finland; Institute of Photonics, UEF University of Eastern Finland, Länsikatu 15, 80110 Joensuu, Finland.
  • Haneishi H; Center for Frontier Medical Engineering (CFME), Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan.
  • Immonen A; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
  • Jääskeläinen JE; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
  • Kämäräinen OP; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
  • Elomaa AP; Neurosurgery Clinical Research Unit, Institute of Clinical Sciences, School of Medicine, Faculty of Health Sciences, UEF University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland; Microneurosurgery Photonics Research Group of The Microsurgery Center of Eastern Finland, Neurosurgery o
Cancer Treat Res Commun ; 32: 100615, 2022.
Article en En | MEDLINE | ID: mdl-35905671
ABSTRACT

BACKGROUND:

5-aminolevulinic acid (5-ALA) - precursor of protoporphyrin IX (PpIX) - is utilized in fluorescence guided surgery (FGS) of high-grade gliomas. PpIX is used to identify traces of glioma during resection. Visual inspection of the fluorescence seems inaccurate in comparison to optic techniques such as hyperspectral imaging (HSI).

AIM:

To characterize the limits of PpIX fluorescence detection of (i) visual evaluation and (ii) HSI analysis and to (iii) develop a classification system for visible and non-visible PpIX fluorescence.

METHODS:

Samples with increasing concentrations (C) of PpIX and non-fluorescent controls were evaluated using a surgical microscope under blue light illumination. Similar samples were imaged with a HSI system tuned to PpIX fluorescence peak wavelength (635 nm) and control (RGB) channels. Samples' intensities were defined, leading to 96 analysed pixels after batching.

RESULTS:

Three expert neurosurgeons assessed the PpIX samples (n = 16) and controls (n = 8) with unanimous decisions (ICC = 0.704), resulting in 63% recognition rate, 48% sensitivity, 92% specificity, 92% positive predictive value (PPV) and 47% negative predictive value (NPV). HSI image analysis, comparing mean relative values, resulted in 96%, 100%, 86%, 94%, 100%, respectively. Minimum PpIX concentration detection for experts was 0.6-1.8 µmol/l and HSI's 0.03-0.15 µmol/l.

CONCLUSIONS:

PpIX concentrations of low-grade gliomas, and those reported on glioblastoma infiltration zones, are below experts' detection threshold. HSI analysis exceeds the performance of expert's visual inspection nearly by 20-fold. Hybrid FGS-HSI systems should be investigated in parallel to long-term outcomes. Described methods are applicable as a standard for calibration, testing and development of subvisual FGS techniques.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Cancer Treat Res Commun Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Cancer Treat Res Commun Año: 2022 Tipo del documento: Article
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