Stolz W, Vogt T, Braun-Falco O, Abmayr W, Eckert F, Kaudewitz P, Vieluf D, Bieber K, Burg G
Department of Dermatology, University of Munich, F.R.G.
J Invest Dermatol. 1990 Feb;94(2):254-60. doi: 10.1111/1523-1747.ep12874602.
The histologic and immunohistologic differential diagnosis between pseudolymphomas (PL) and malignant lymphomas (ML) of the skin can be difficult. Since DNA cytometry has been found to be of both diagnostic and prognostic value in various neoplasms, its ability to discriminate between ML and PL in Feulgen-stained imprints of 17 PL and 49 ML skin biopsies was examined by high-resolution image analysis. The reliability of the following algorithms of DNA distribution was evaluated: 1) 2cDI (2c-deviation index), which reflects the variation of the nuclear DNA values around the diploid DNA peak; 2) percentage of cells having a DNA value greater than or equal to 5c (5cER; 5c-exceeding rate); 3) percentage of cells presenting with a DNA value greater than or equal to 4c (4cER). A 2cDI of 0.1 was found to be the most reliable marker for the differentiation between PL and ML. On the basis of this feature, 16 of 17 cases of PL and 46 of 49 cases of ML were correctly classified. The sensitivity, specificity, and efficiency of this feature were 94%. A 5cER greater than or equal to 1% had a specificity of 100%, but the sensitivity was only 43%. For the 4cER, a sensitivity of 61% and a specificity of 94% were found. In conclusion, the calculation of the 2cDI and the 5cER based on high-resolution image analysis provided additional helpful diagnostic features, and therefore should be included as a diagnostic tool. If the 5cER is at least 1%, the diagnosis of a ML can be confirmed with a specificity of 100%.
皮肤假性淋巴瘤(PL)与恶性淋巴瘤(ML)的组织学和免疫组织学鉴别诊断可能存在困难。由于已发现DNA细胞计量术在各种肿瘤中具有诊断和预后价值,因此通过高分辨率图像分析,研究了其在17例PL和49例ML皮肤活检标本的福尔根染色印片中区分ML和PL的能力。评估了以下DNA分布算法的可靠性:1)2cDI(2c偏差指数),反映二倍体DNA峰周围核DNA值的变化;2)DNA值大于或等于5c的细胞百分比(5cER;5c超标率);3)DNA值大于或等于4c的细胞百分比(4cER)。发现2cDI为0.1是区分PL和ML最可靠的标志物。基于这一特征,17例PL中的16例和49例ML中的46例被正确分类。该特征的敏感性、特异性和效率均为94%。5cER大于或等于1%时特异性为100%,但敏感性仅为43%。对于4cER,敏感性为61%,特异性为94%。总之,基于高分辨率图像分析计算2cDI和5cER提供了额外有用的诊断特征,因此应将其作为一种诊断工具。如果5cER至少为1%,则可确诊为ML,特异性为100%。