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Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival

  • Laryngology
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Abstract

The aim of the present study was to design a microscopy image analysis (MIA) system for predicting the 5-year survival of patients with laryngeal squamous cell carcinoma, employing histopathology images of lesions, which had been immunohistochemically (IHC) stained for p63 expression. Biopsy materials from 42 patients, with verified laryngeal cancer and follow-up, were selected from the archives of the University Hospital of Patras, Greece. Twenty six patients had survived more than 5 years and 16 less than 5 years after the first diagnosis. Histopathology images were IHC stained for p63 expression. Images were first processed by a segmentation method for isolating the p63-expressed nuclei. Seventy-seven features were evaluated regarding texture, shape, and physical topology of nuclei, p63 staining, and patient-specific data. Those features, the probabilistic neural network classifier, the leave-one-out (LOO), and the bootstrap cross-validation methods, were used to design the MIA-system for assessing the 5-year survival of patients with laryngeal cancer. MIA-system accuracy was about 90 % and 85 %, employing the LOO and the Bootstrap methods, respectively. The image texture of p63-expressed nuclei appeared coarser and contained more edges in the 5-year non-survivor group. These differences were at a statistically significant level (p < 0.05). In conclusion, this study has proposed an MIA-system that may be of assistance to physicians, as a second opinion tool in assessing the 5-year survival of patients with laryngeal cancer, and it has revealed useful information regarding differences in nuclei texture between 5-year survivors and non-survivors.

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Acknowledgments

We would like to thank the Department of Pathology of the University Hospital of Patras for assisting in the peer evaluation of the H&E and p63-stained histologic specimens. We gratefully acknowledge the support of NVIDIA Corporation for the donation of the Tesla K20 GPU used for this research.

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Authors and Affiliations

  1. Department of Physics, School of Natural Sciences, University of Patras, Rio, Patras, Greece

    Konstantinos Ninos & George Economou

  2. Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, Technological Educational Institute of Athens, Ag.Spyridonos, Egaleo, 12210, Athens, Greece

    Spiros Kostopoulos, Ioannis Kalatzis, Konstantinos Sidiropoulos & Dionisis Cavouras

  3. European Molecular Biology Laboratory, Wellcome Trust Genome Campus, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, UK

    Konstantinos Sidiropoulos

  4. Department of Pathology, University Hospital of Patras, Rio, Greece

    Panagiota Ravazoula

  5. Department of Medical Physics, Faculty of Medicine, School of Health Sciences, University of Patras, Rio, Patras, Greece

    George Sakellaropoulos & George Panayiotakis

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  1. Konstantinos Ninos
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  2. Spiros Kostopoulos
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  3. Ioannis Kalatzis
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  4. Konstantinos Sidiropoulos
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  6. George Sakellaropoulos
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  8. George Economou
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  9. Dionisis Cavouras
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Correspondence to Dionisis Cavouras.

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Ninos, K., Kostopoulos, S., Kalatzis, I. et al. Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival. Eur Arch Otorhinolaryngol 273, 159–168 (2016). https://doi.org/10.1007/s00405-015-3747-x

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  • DOI: https://doi.org/10.1007/s00405-015-3747-x

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