Automated image analysis DNA cytometry in testicular cancer

✍ Scribed by B�rger, R. A. ;Witzsch, U. ;Engel, H. ;St�ckle, M. ;Potratz, D.

• Publisher: Springer
• Year: 1994
• Tongue: English
• Weight: 346 KB
• Volume: 22
• Category: Article
• ISSN: 0300-5623
• DOI: 10.1007/bf00431543

✦ Synopsis

The value of automated DNA cytometry for differentiation of testis cancer was evaluated in 54 seminomas, 13 HCG-positive seminomas, and 48 embryonal carcinomas. Slices of paraffin embedded tissue were enzymatically digested and stained with Feulgen SITS after fixation on glass slides. Automated DNA cytometry was performed with a Modular Image Analysis Computer (MIAC). DNA histogram phenotpye and computed DNA indices were correlated with the different tumor types. The ratio of hypertriploid to hypotriploid increased from HCG-positive seminoma over embryonal carcinoma to seminoma. The following mathematical DNA indices were found to correlate with tumor type: mean ploidy, 2c deviation index, 5c exceeding rate, variation coefficient of the GO/1 fraction and DNA nucleus diameter correlation.