Cafferty L L, Katz R L, Ordonez N G, Carrasco C H, Cabanillas F R
Department of Pathology, University of Texas M. D. Anderson Cancer Center, Houston 77030.
Cancer. 1990 Jan 1;65(1):72-7. doi: 10.1002/1097-0142(19900101)65:1<72::aid-cncr2820650116>3.0.co;2-q.
We reviewed 238 fine needle aspiration biopsies (FNA) of intraabdominal or retroperitoneal (IA/RP) masses in 192 patients with known or suspected lymphoma. A limited battery of immunocytochemical stains, including kappa (k) and lambda (l) light chains and Leu-4, was performed in 104 aspirates. On hundred twenty-eight of the FNA were diagnostic of or consistent with lymphoma, and three were diagnostic of carcinoma. Twenty-eight were considered negative for malignancy and 79 were suspicious for lymphoma or were nondiagnostic. For 135 of the FNA, a histologic biopsy specimen was available for comparison purposes. Overall, only one false-positive result was seen in a specimen lacking immunocytochemical data. The sensitivity of FNA lymphoma diagnosis was 66%. False-negative results due to sampling error were not uncommon, giving a predictive value of a negative result as 42%. The classification of the lymphomas by FNA was identical to that of the surgical biopsy in 86% of specimens and concurrently discrepant in 6%. We conclude that the routine performance of immunocytochemical studies on FNA of IA/RP masses is a feasible and valuable technique. Whereas suboptimal sensitivity and sampling error may make a negative diagnosis unreliable, lymphoma marker studies (combined with morphology) allow for an accurate and confident diagnosis and subclassification of lymphoma in the majority of cases.
我们回顾了192例已知或疑似淋巴瘤患者的238例腹内或腹膜后(IA/RP)肿块细针穿刺活检(FNA)。对104例吸出物进行了一系列有限的免疫细胞化学染色,包括κ(k)和λ(l)轻链以及Leu-4。128例FNA诊断为淋巴瘤或与淋巴瘤相符,3例诊断为癌。28例被认为恶性阴性,79例对淋巴瘤可疑或无法诊断。135例FNA中有组织活检标本可供比较。总体而言,在缺乏免疫细胞化学数据的标本中仅出现1例假阳性结果。FNA淋巴瘤诊断的敏感性为66%。由于采样误差导致的假阴性结果并不罕见,阴性结果的预测值为42%。86%的标本中FNA对淋巴瘤的分类与手术活检相同,6%同时存在差异。我们得出结论,对IA/RP肿块FNA进行免疫细胞化学研究是一种可行且有价值的技术。虽然敏感性欠佳和采样误差可能使阴性诊断不可靠,但淋巴瘤标志物研究(结合形态学)可在大多数病例中实现淋巴瘤的准确可靠诊断和亚型分类。