Clarke A M, Reid W A, Jack A S
Department of Clinical Medicine, University of Leeds.
J Clin Pathol. 1993 Feb;46(2):129-34. doi: 10.1136/jcp.46.2.129.
To evaluate the use of morphometry in the diagnosis of benign and malignant cutaneous lymphoid infiltrates; and to determine whether the sensitivity of detection of cutaneous T cell lymphoma (CTCL) could be improved by selectively measuring cells expressing proliferating cell nuclear antigen (PCNA).
44 archival biopsy specimens were studied. These included cases of CTCL, non-specific chronic dermatitis, lichen planus and lupus erythematosus. PCNA was identified using a standard immunohistological technique. Reactive cells were identified using automatic colour discrimination, and the size and shape were determined interactively. Similar measurements were made on the total dermal lymphocyte population.
There was no significant difference between the proportions of PCNA reactive cells in any of the diseases studied. The PCNA positive lymphocytes in CTCL were larger than those in lupus erythematosus and lichen planus and were more irregular in shape than those in chronic dermatitis. Differences were also seen in the total lymphocyte population. Plotting cell size and shape(fcircle) for PCNA cells together allowed CTCL to be differentiated from the inflammatory disorders with a sensitivity of 80% and a specificity of 93%. This was better than could be achieved using measurements made on the total cell population.
This technique can be partly automated and could be useful in the differential diagnosis of cutaneous lymphoid infiltrates. The result are also of some interest in the further understanding of patterns of cell proliferation in skin associated lymphoid tissue.
评估形态测量法在诊断良性和恶性皮肤淋巴细胞浸润中的应用;并确定通过选择性测量表达增殖细胞核抗原(PCNA)的细胞,是否能提高皮肤T细胞淋巴瘤(CTCL)的检测敏感性。
研究了44份存档活检标本。这些标本包括CTCL、非特异性慢性皮炎、扁平苔藓和红斑狼疮病例。使用标准免疫组织学技术鉴定PCNA。使用自动颜色识别鉴定反应性细胞,并交互式确定其大小和形状。对整个真皮淋巴细胞群体进行类似测量。
在所研究的任何疾病中,PCNA反应性细胞的比例之间均无显著差异。CTCL中的PCNA阳性淋巴细胞大于红斑狼疮和扁平苔藓中的,且其形状比慢性皮炎中的更不规则。在整个淋巴细胞群体中也观察到差异。将PCNA细胞的大小和形状(fcircle)绘制在一起,可将CTCL与炎症性疾病区分开来,敏感性为80%,特异性为93%。这比使用对整个细胞群体进行测量所能达到的效果更好。
该技术可部分自动化,在皮肤淋巴细胞浸润的鉴别诊断中可能有用。这些结果对于进一步了解皮肤相关淋巴组织中的细胞增殖模式也有一定意义。