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      Prediction of recurrence in giant cell bone tumors by DNA cytometry.

      Analytical and quantitative cytology and histology / the International Academy of Cytology [and] American Society of Cytology
      Adult, Bone Neoplasms, pathology, DNA, Neoplasm, isolation & purification, Female, Giant Cell Tumors, Histocytochemistry, methods, Humans, Image Processing, Computer-Assisted, Male, Neoplasm Recurrence, Local, diagnosis, Predictive Value of Tests, Reproducibility of Results, Statistics as Topic, Treatment Outcome

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          Abstract

          The most interesting therapeutic aspect of giant cell bone tumors is which patients can be cured without a risk of recurrence by intralesional surgery (curettage). To find out the suitability of some DNA cytometric and morphometric parameters for showing differences between this group of patients (n = 9) and those with recurrence (n = 12), the parameters mean ploidy, 2cDI (mean square deviation of the tumor cell DNA content from the normal 2c value), mean nuclear area and its variability were calculated from cytologic specimens prepared by a cell separation technique from formalin-fixed, paraffin-embedded tissues, measuring the values of 100 stromal cells per case by a TV image analysis system. Further measurements were performed on 19 cases of different diseases of the bone and on an additional 17 cases of giant cell tumors without follow-up. The 2cDI allowed us to distinguish the two groups of patients, with and without recurrence, without overlap; even the lowest value for patients with recurrence was higher than the highest value for cured ones. Mean ploidy analysis resulted in a less convincing discrimination of the patients. Mean nuclear area and its variability failed to predict recurrence. Single-cell DNA cytometry provided a parameter, 2cDI, that was able to predict recurrence in patients with giant cell bone tumors with high sensitivity.

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