目的 观察腹膜后巨淋巴结增殖症的治疗效果，探讨其临床表现、影像学特点、诊断、病理及治疗方法。 方法 30岁女性患者1例，因反复腹泻、右上腹胀2个月余，发现右侧腹膜后肿物20 d，于2011年8月22日入院。患者在全麻下行腹膜后肿物切除术。手术3个月后，复查腹部CT、血常规、生化等检查。并结合文献进行综述。 结果 手术过程顺利，完整切除肿物，术后病理检查示病变为巨淋巴结增殖症，透明血管型。术后3个月患者门诊随访，恢复良好，复查腹部CT未见肿物复发，血常规、生化等检查均无异常。 结论 该病较为少见，病因尚不明确，确诊需依赖病理组织学活检，手术切除为首选治疗，且预后好。
Objective To seek for a method of constructing the tissue microarray which contains keloid, skin around keloid, and normal skin. Methods The specimens were gained from patients of voluntary donation between March and May2009, including the tissues of keloid (27 cases), skin around keloid (13 cases), and normal skin (27 cases). The specimens were imbedded by paraffin as donor blocks. The traditional method of constructing the tissue microarray and section were modified according to the histological characteristics of the keloid and skin tissue and the experimental requirement. The tissue cores were drilled from donor blocks and attached securely on the adhesive platform which was prepared. The adhesive platform with tissue cores in situ was placed into an imbedding mold, which then was preheated briefly. Paraffin at approximately 70℃ was injected to fill the mold and then cooled to room temperature. Then HE staining, immunohistochemistry staining were performed and the results were observed by microscope. Results The constructed tissue microarray block contained 67 cores as designed and displayed smooth surface with no crack. All the cores distributed regularly, had no disintegration or manifest shift. HE staining of tissue microarray section showed that all cores had equal thickness, distinct layer, manifest contradistinction, well-defined edge, and consistent with original pathological diagnosis. Immunohistochemistry staining results demonstrated that all cores contained enough tissue dose to apply group comparison. However, in tissue microarray which was made as traditional method, many cores missed and a few cores shifted obviously. Conclusion Applying modified method can successfully construct tissue microarray which is composed of keloid, skin around keloid, and normal skin. This tissue microarray will become an effective tool of researching the pathogenesis of keloid.