Abstract
Purpose
New insights in prognostic predictions are urgently needed for papillary thyroid carcinoma (PTC). The present study aimed to investigate whether computerized analysis of chromatin texture allows the identification of PTC patients with a poor prognosis.
Methods
We randomnly selected paraffin-embedded blocks from surgical specimens of 103 classic cases of PTC. During follow-up, 68 of the patients were classified as free of disease, whereas 35 presented with recurrences. Characteristics of chromatin were obtained from digitized images of at least 100 randomly selected tumor nuclei per patient. An independent series of 30 goiters was used to validate our observations.
Results
Stage, age and distant metastases were found to serve as independent prognostic factors for survival. In addition, multivariate Cox regression confirmed variable cluster prominence as an independent prognostic factor. By comparing malignant and benign nodules, we found that the PTC lesions presented with higher nuclear perimeters, nuclear areas, Minkowski fractal dimensions, optical densities and nuclear longest chords.
Conclusion
From our results we conclude that, in conjunction with clinical and histopathological data, morphometric data may provide relevant prognostic information in PTC patients.
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Acknowledgments
We are grateful to State of São Paulo Research Foundation (Fapesp) for financial support. The authors declare that they have no conflict of interest.
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The experiments comply with the current laws of Brazil.
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Ferreira, R.C., Cunha, L.L., Matos, P.S. et al. Chromatin changes in papillary thyroid carcinomas may predict patient outcome. Cell Oncol. 36, 259–264 (2013). https://doi.org/10.1007/s13402-012-0116-2
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DOI: https://doi.org/10.1007/s13402-012-0116-2